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Firefox File• 0EditViewHistoryBookmarks Profiles Firefox File• 0EditViewHistoryBookmarks ProfilesToolsWindowHelp(ahl100% C18:30:28DOCKER₴81DEV (-zsh)82APP (-zsh)83-zshec2-user@ip-10-30-145-148:~84screenpipe*О 885ec2-user@ip-10-30-...86ec2-user@ip-10-20-….ec2-user@ip-10-30-...*8[2026-05-1414:10:57]qai.INFO: [HubSpot]2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}importContact {"crm_provider_id":"151395096100""config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151394949738"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151394799379","config_id" :980}2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57Jqai.INFO: [HubSpot] importContact {"crm_provider_id":"151390127471","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id":"82a[2026-05-14 14:10:58]qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389961123","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id":"82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389816120","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id"[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389713778"',"config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05", "trace_id" : "82a2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389693109"2c8ad-b450-4e95-8d6b-eale80fd8e10"}:"a5708a1c-c148-4723-a615-dla6ad4efd05", "trace_id" : "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389632351","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id": "82a2c8ad-b450-4e95-8d6b-eale80fd8e10"'}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389400699""config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"'}"trace_id": "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389400655""config_id":980}2c8ad-b450-4e95-8d6b-eale80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389111212"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151388675477","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"., "trace_id": "82a2c8ad-b450-4e95-8d6b-eale80fd8e10"'}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151373094246"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}, "config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151317825376","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id": "82a...
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ActivityFilesLaterMorerireroxcalVIewHistoryJiminny…..~External connections# Starred© jiminny-x-integrati...8 platform-inner-team Channels# ai-chapterualerts# backend# bugsconfusion-clinic)# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launchesd random# releases# sofia-office# support# thank-yousd the neonle of iimi...^ Direct messages. Galya Dimitrova EP. Aneliya Angelova0 Vasil VasilevStefka Stoyanova. Todor Stamatov8i. Mario GeorgievC. Nikolay Ivanov2o James Graham 78. Stoyan Tanev E. Steliyan Georgiev@ Dotkn Kochinckie. Lukas Kovalik y...#: Apps® Toastf Jira CloudbookmarksProtllesWindowmelpP. Galya Dimitrova• MessagesQ Files@ Untitledа този беше за taled рекорлинг който гоToday v 1andLukas Kovalik 3:10 PMоорьках гиGalya Dimitrova # 3:11 PMне е толкова важнопросто сме сега на една среща със съпорта и гледаме кагGalya Dimitrova Er 4-38 PMмежду другото как успя да подкараш тракването в Userpче да знам за следващите като правимLukas Kovallk 4:40 PMпроблем не беше в UserPilot event a в laravel event липав.calva Dimitrova 4:42 PMинтепесно дбгче че този тоъгна обаче новия евент за АUIмного стоанноLukas Kovalik 5:00 PMше го поглелнаLukas Kovalik 6.24PMизглежда има naracoded periodimage.pngMar 1, 12:00 am - Apr 29, 6:13 pmако го сменя на nаст топth наплимей излизат ланните© Galya Dimitrova = 6:26 PMod много сім злоуж гледах ли гледахMessage Galya Dimitrova In a meeting • Google Calendar+ Aa[9 [SRD-6848] Sidekick SMS issue* [UY-20891] Sidekick SMS issi XJY-20891 add support for secon(SRD-6849] Recorded call does iJY-20903) Recorded call does ni8 liminn8 Jiminny8 JiminnvISRD-6853] Moxso - Potential d• Jy-20908 Undate activity stage& Configure SSH access to multiple ‹X Useful commands - Engineering -JY-20904 Fix UpdateActivityElas€7 1JY-209041 Fix UodateActivitvEl:New Tab-New TahCa CloudWatch | us-east-23 Companies I All companies36 Developers | HubSpotInhov 1460/). Inboe LovolilAtimAl Features I DatadodJL Now Tohjiminny.atlassian.net/browse/JY-20891~ Google GeminiO JIMINNYhow to change period indatadod tnere is metricand when I open it I seethere si narocoded trom toIt sounds like you're looking at a Timeboard ora specific Metric Explorer view where the timerange reels stuck. In Datadog, the time range(the "from" and "to") is usually controlled by theglobal time selector, but there are a few reasonswhy it might look hardcoded.Here is how to unlock and change that period:1. The Global Time SelectorAt the very top right of the Datadog interface,you'll see a time picker (e.g., "Past 1h", "Past1d").• To change the duration: Click thedropdown and select a preset or clickCustom to set a snecific start and endcate time.• The "Fixed" Trap: If you arrived at thepage via a shared link or a specificsnapshot, the URL might contain a fixedfrom_ts and to_ts. Clicking any of therelative time options (like "Past 1 Hour") will• Enter a prompt for GeminiFastyYour Jiminny chats aren't used to improve our models. Gemini IsJlrcan mike micakec co dolliale chockt Yottr drivaeu dotSummarize pageg For you|(@ Recent# Starred8$ AppsQ Spaces+ ...C Service-Desk9 Jiminny (New)I I1l Platform TeamŒI Capture TeamŒ Enterprise Stability I...I Processing TeamIID SE Kanban= More spaces.= FiltersDashboardsC÷ Operations& Confiuence:: Teamsº Customise sidebarБГ100% C/3 &• Thu 14 May 18:30:28Q Search+ CreateAsk RovoSpaces / Jiminny (New) /|[ Add parent / ** JY-20891Sidekick SMS issueCode ReviewV Software failurev 4~ Key detailsDescriptionHey team,Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of Maywas not sent to one of his prospectsiI tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn't find any trace of his attempted reply to that prospect([PHONE]).To send the text message, he replied to the email he got when the prospect texted him first:* Improve Bug~ DetailsAssignee@ Lukas KovalikReporter@ Lukas KovalikText from 027 513 8300LabelsNoneSub-ProductAdd optionsnced you bot.Story PointsNoneTo send a messago back, uer repy 0 mis emal.OrganisationsAnd this is the email he got after replying to the email:Components(PlatformFix versionsNoneHello,Tis i chen due o ie moesaege being aoo king.ParentNoneSprintPlatform Sprint 4 Q2Priority= MediumReportedly, the text message he tried sending was only two words long.Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that themessages were not sent. Below are the failure messages and the result of our testing:RegressionDays...
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ActivityLaterMoreSlackVIewMistonWindowHelpСтоClearJiminny... ~Stoyan Tomov - Stoyan TomovA External connShow results for: Cтo# Starred8 jiminny-x-ir8 platform-inistovan laney • Stovan lanevodor Stamatov • Todor StamatoyStefka Stoyanova • Stefka Stoyanova* Channels# ai-chapterualertsStefka Stoyanova, Vasil Vasilev - Jun 11th, 2024# backend# bugsRecent messageseпринтаi confusion-dGalya Dimitrova I Direct Message with Galya Dimitrovaстори ми се странно и викам да проверя за всеки случайToday# curiosity la# engineering# general# liminny-bg# platform-tic# product_laui random# releases1 J Select# sofia-office# support# thank-yous# the_people_of_jimi….Stefka Stoyanova Direct Message with Stefka StoyanovaToday...1 ден? и после да дефинираш сторита за ползване на другото SDK евент...лизация (edited)Vasil Vasilev Direct Message with Vasil Vasilevи стеиджа или стоиността на тази сделка се променипсое поолължава ла показваTodavGive feedbackLukas Kovalik 6:24 PMизглежда има naracoded perioaimage.png^ Direct messages.. Galya Dimitrova EP. Aneliya Angelovaa Vasil VasilevStefka Stoyanova. Todor Stamatov8i. Mario GeorgievC. Nikolay Ivanov2o James Graham 78. Stoyan Tanev E. Steliyan Georgiev@ Dotkn Kochinckie. Lukas Kovalik y...Mar 1, 12:00 am - Apr 29, 6:13 pmако го сменя на nasт mоnth напоимей излизат ланнитеGalya Dimitrova 6:26 PMod много сім злоуж гледах ли гледах#: Apps® ToastSi lime CloudMessage Galya Dimitrova In a meeting • Google Calendar+ Aajiminny.atlassian.net/browse/JY-20891le geminilhow to change period indatadod tnere is metricand when I open it I seethere si narocoded trom toas like you're looking at a limeboard orfic Metric Explorer view where the timeeels stuck. In Datadog, the time rangeom" and "to") is usually controlled by thetime selector, but there are a few reasonsnight look hardcoded.how to unlock and change that period:Global Time Selectorvery top right of the Datadog interface,ee a time picker (e.g., "Past 1h", "Pasto change the duration: Click theopdown and select a preset or clickustom to set a specific start and endate time.he "Fixed" Trap: If you arrived at theage via a shared link or a specificnapshot, the URL might contain a fixedrom_ts and to_ts. Clicking any of theHlative time options (like "Past 1 Hour") willnter a prompt for GeminiFastvo misakes col colidle chock t Yottr drivaeu dotnarize pageO JIMINNYg For you|(• Recent# Starred8$ Apps• Spaces+ ...(9 Service-DeskJiminny (New)+ ...II1l Platform TeamŒI Capture TeamIM Enterprise Stability I...I Processing TeamŒID SE Kanban= More spaces.= FiltersDashboardsC÷ Operations& Confiuence:: Teamsº Customise sidebar• 40 hl o+ CreateQ SearchSpaces / Jiminny (New) /|C Add parent / #* JY-20891Sidekick SMS issueKey detailsDescriptionHey team,Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of Maywas not sent to one of his prospectsI tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn't find any trace of his attempted reply to that prospect([PHONE]).To send the text message, he replied to the email he got when the prospect texted him first:Text from 027 513 8300Ii call you backTo seond amesgo ock, ut epy o thle emal.And this is the email he got after replying to the email:Hello,Reportedly, the text message he tried sending was only two words long.Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that themessages were not sent. Below are the failure messages and the result of our testing:100% C/3 &• Thu 14 May 18:30:31Ask RovoCode ReviewV Software failurev 4* Improve Bug~ DetailsAssignee@ Lukas KovalikReporter@ Lukas KovalikDevelopmentQ Open with VS Code1 branch1 commit1 pull request1 build incomplete1 day agoOPEN)LabelsNoneSub-ProductAdd optionsStory PointsNoneOrganisationsNoneComponentsPlatformFix versionsParentNoneSprint...
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Firefox File• 0EditViewHistoryBookmarks ProfilesToolsWindowHelp100% C18:30:31DOCKER₴81DEV (-zsh)882APP (-zsh)83-zshec2-user@ip-10-30-145-148:~84screenpipe"• 885ec2-user@ip-10-30-...86ec2-user@ip-10-20-….ec2-user@ip-10-30-...*8[2026-05-1414:10:57]qai.INFO: [HubSpot]2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}importContact {"crm_provider_id":"151395096100""config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151394949738"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151394799379","config_id" :980}2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57Jqai.INFO: [HubSpot] importContact {"crm_provider_id":"151390127471","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id":"82a[2026-05-14 14:10:58]qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389961123","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id":"82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389816120","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id"[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389713778"',"config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05", "trace_id" : "82a2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389693109"2c8ad-b450-4e95-8d6b-eale80fd8e10"}:"a5708a1c-c148-4723-a615-dla6ad4efd05", "trace_id" : "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389632351","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id": "82a2c8ad-b450-4e95-8d6b-eale80fd8e10"'}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389400699"',"config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"'}"trace_id": "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389400655""config_id":980}2c8ad-b450-4e95-8d6b-eale80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389111212"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151388675477","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"., "trace_id": "82a2c8ad-b450-4e95-8d6b-eale80fd8e10"'}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151373094246"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}, "config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id": "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151317825376","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id": "82a...
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HomeActivityMoreSlackcalVIewMistonWindowJiminny... ~A External connections# StarredA jiminny-x-integrati...& platform-inner-team* Channels# ai-chapter# alerts# backend# bugss confusion-clinic)# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launchesd random# releases# sofia-office# support# thank-yous# the_people_of_jimi….^ Direct messagesPP. Galya Dimitrova DP. Aneliya AngelovaB. Vasil VasilevStefka StoyanovaSe: Todor Stamatov.8i. Mario GeorgievC. Nikolay Ivanov2o James Graham 78. Stoyan Tanev E8 Stelivan Georgiev@ Dotkn KochinckR. Stoyan TomovLukas Kovalik y...##:Apns® ToasthelpQ Describe what you are looking for. Stoyan Tomov• MessagesAdd canvaur FilesX Pinsотвориш и да виждаш, то трябва да е като playbackThursday. April Z3rdyStoyan Tomov 9:55 AMдобро утровсе още ли гледаме за нови сделки в хъбспот на 30 минути или и това е с webhooks?_ukas Kovalk 10:12 AMлобоо утоо, ами май е вече на 5 мин от няколко лни.Stoyan Tomov 10:14 AMто това май важи и за контакти и акаунти или се оъокам.Lukas Kovalik 10:15AMIna, sunc obiectsstoyan lomov 10:15AMcVneo hoodeопитвах се да намеря инфо в contluence ама маи не е писано там за синковетеLukas Kovalik 10:21AMот скоро е, Ники Николов го е правил тази седмица10.21 само XоStoyan Tomov 10:22 AMdohreStoyan Tomov 2:23 PMможе ли ла ми кажеш набъозо на какьв поинцип импоютваме контакти от Zoho?Lukas Kovallk 2•25 PMзлрастиStoyan Tomoy 2:25 PMможе ли ла ти звьнна за лве минутки.Lukas Kovalik 2:26 PMняма remote searchA huddle happened 2:26 PMYou and Stovan Tomov were in the huddle for 15m.Stoyan Tomov 2:54 PMтова за дайльр разговорите да им се пушват съмаритата винаги важи за всички CRM-и нали такане е специфично само за 3охоLukas Kovaltk 2.54 pN+ Аaljiminny.atlassian.net/browse/JY-20891le geminilO JIMINNYhow to change period indatadod tnere is metricand when I open it I seethere si narocoded trom toas like you're looking at a limeboard orfic Metric Explorer view where the timeeels stuck. In Datadog, the time rangeom" and "to") is usually controlled by thetime selector, but there are a few reasonsnight look hardcoded.how to unlock and change that period:Global Time Selectorvery top right of the Datadog interface,ee a time picker (e.g., "Past 1h", "Pasto change the duration: Click theopdown and select a preset or clickustom to set a specific start and endate timehe "Fixed" Trap: If you arrived at theage via a shared link or a specificnapshot, the URL might contain a fixedrom_ts and to_ts . Clicking any of thelative time options (like "Past 1 Hour") willnter a prompt for GeminiFastvo misakes col colidle chock t Yottr drivaeu dotnarize pageg For you|(@ Recent# Starred8$ Apps• Spaces+ ...C Service-DeskJiminny (New)I I1l Platform TeamŒI Capture TeamIM Enterprise Stability I...I Processing TeamŒID SE Kanban= More spaces.= FiltersDashboardsC÷ Operations& Confiuence:: Teamsº Customise sidebar• 40 hl o+ CreateQ SearchSpaces / Jiminny (New) /|C Add parent / #* JY-20891Sidekick SMS issueKey detailsDescriptionHey team,Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of Maywas not sent to one of his prospectsI tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn't find any trace of his attempted reply to that prospect([PHONE]).To send the text message, he replied to the email he got when the prospect texted him first:Text from 027 513 8300Ii call you backTo seond amesgo ock, ut epy o thle emal.And this is the email he got after replying to the email:Hello,Reportedly, the text message he tried sending was only two words long.Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that themessages were not sent. Below are the failure messages and the result of our testing:100% C/3 &• Thu 14 May 18:30:34Ask RovoCode ReviewV Software failurev 4* Improve Bug~ DetailsAssignee@ Lukas KovalikReporter@ Lukas KovalikDevelopmentQ Open with VS Code1 branch1 commit1 pull request1 build incomplete1 day agoOPEN)LabelsNoneSub-ProductAdd optionsStory PointsNoneOrganisationsNoneComponentsPlatformFix versionsNoneParentNoneSprint...
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Stoyan Tomov
Apr 22nd at 5:52:52 PM
5:52 PM
добре аз съм живял в лъжа явно доста дълго време
Apr 22nd at 5:53:27 PM
5:53
Какъв е смисъла от рисковете да гледат за scheduled future activity след като такива така или иначе не влизат там докато не се състоят?
Lukas Kovalik
Apr 22nd at 5:54:29 PM
5:54 PM
това беше на Том изисване, трябва да ти каже че нямаш среща планирана и съответно сделка умира
Apr 22nd at 5:55:35 PM
5:55
също като други, имаш само един контакт, няма отговор, няма нищо ново някакво време …
Stoyan Tomov
Apr 22nd at 5:57:23 PM
5:57 PM
Еми значи трябва нещо да се промени, или от deal risk да се махне това да не може някой да го настрои да гледа за бъдещи срещи, или просто да се включват и scheduled конференции в таймлайна
Lukas Kovalik
Apr 22nd at 5:59:56 PM
5:59 PM
ами не знам, ровичках се в тях и може би за това ми са поясни
Apr 22nd at 6:00:29 PM
6:00
но да питай Галя ако иска да сменява
Apr 22nd at 6:01:43 PM
6:01
deal risk трябва да ти каже че сделка е под риск, ако са включени scheduled ти няма как да го отвориш и да виждаш, то трябва да е като playback
Jump to date
Stoyan Tomov
Apr 23rd at 9:55:24 AM
9:55 AM
добро утро
Apr 23rd at 9:56:16 AM
9:56
все още ли гледаме за нови сделки в хъбспот на 30 минути или и това е с webhooks?
Lukas Kovalik
Apr 23rd at 10:12:46 AM
10:12 AM
добро утро, ами май е вече на 5 мин от няколко дни
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Stoyan Tomov
Apr 23rd at 10:14:41 AM
10:14 AM
то това май важи и за контакти и акаунти или се бъркам?
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Lukas Kovalik
Apr 23rd at 10:15:02 AM
10:15 AM
да, sync objects
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Stoyan Tomov
Apr 23rd at 10:15:28 AM
10:15 AM
супер добре
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Apr 23rd at 10:15:48 AM
10:15
опитвах се да намеря инфо в confluence ама май не е писано там за синковете
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Lukas Kovalik
Apr 23rd at 10:21:03 AM
10:21 AM
от скоро е, Ники Николов го е правил тази седмица
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Apr 23rd at 10:21:15 AM
10:21
само ХС
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Stoyan Tomov
Apr 23rd at 10:22:19 AM
10:22 AM
dobre
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Stoyan Tomov
Apr 23rd at 2:23:07 PM
2:23 PM
може ли да ми кажеш набързо на какъв принцип импортваме контакти от Zoho?
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Lukas Kovalik
Apr 23rd at 2:25:21 PM
2:25 PM
здрасти
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Apr 23rd at 2:25:39 PM
2:25
в начало мисля че беше
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Stoyan Tomov
Apr 23rd at 2:25:51 PM
2:25 PM
може ли да ти звънна за две минутки?
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Lukas Kovalik
Apr 23rd at 2:26:01 PM
2:26 PM
няма remote search
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Apr 23rd at 2:26:02 PM
2:26
da
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A huddle happened
Apr 23rd at 2:26:07 PM
2:26 PM
You and
Stoyan Tomov
were in the huddle for
15m
.
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Stoyan Tomov
Apr 23rd at 2:54:19 PM
2:54 PM
това за дайлър разговорите да им се пушват съмаритата винаги важи за всички CRM-и нали така
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Apr 23rd at 2:54:26 PM
2:54
не е специфично само за Зохо
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Lukas Kovalik
Apr 23rd at 2:54:49 PM
2:54 PM
да
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Lukas Kovalik
Today at 6:30:36 PM
6:30 PM
здрасти
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Firefox File• •EditViewHistoryBookmarks ProfilesToolsWindowHelp100% (DOCKER₴81DEV (-zsh)882APP (-zsh)83-zshec2-user@ip-10-30-145-148:~X4screenpipe"О 885ec2-user@ip-10-30-...₴86ec2-user@ip-10-20-….ec2-user@ip-10-30-...*8[2026-05-1414:10:57]qai.INFO: [HubSpot]2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}importContact {"crm_provider_id":"151395096100""config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151394949738"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151394799379","config_id" :980}2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57Jqai.INFO: [HubSpot] importContact {"crm_provider_id":"151390127471","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id":"82a[2026-05-14 14:10:58]qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389961123","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id":"82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389816120","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id": "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389713778"',"config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05", "trace_id" : "82a2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389693109"2c8ad-b450-4e95-8d6b-eale80fd8e10"}:"a5708a1c-c148-4723-a615-dla6ad4efd05", "trace_id" : "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389632351","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id": "82a2c8ad-b450-4e95-8d6b-eale80fd8e10"'}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389400699"',"config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"'}"trace_id": "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389400655""config_id":980}2c8ad-b450-4e95-8d6b-eale80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389111212"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151388675477","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"., "trace_id":"82a2c8ad-b450-4e95-8d6b-eale80fd8e10"'}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151373094246"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}, "config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id": "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151317825376","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id": "82a...
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Stoyan Tomov (DM) - Jiminny Inc - 3 new items - Sl Stoyan Tomov (DM) - Jiminny Inc - 3 new items - Slack...
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Stoyan Tomov
Apr 22nd at 5:52:52 PM
5:52 PM
добре аз съм живял в лъжа явно доста дълго време
Apr 22nd at 5:53:27 PM
5:53
Какъв е смисъла от рисковете да гледат за scheduled future activity след като такива така или иначе не влизат там докато не се състоят?
Lukas Kovalik
Apr 22nd at 5:54:29 PM
5:54 PM
това беше на Том изисване, трябва да ти каже че нямаш среща планирана и съответно сделка умира
Apr 22nd at 5:55:35 PM
5:55
също като други, имаш само един контакт, няма отговор, няма нищо ново някакво време …
Stoyan Tomov
Apr 22nd at 5:57:23 PM
5:57 PM
Еми значи трябва нещо да се промени, или от deal risk да се махне това да не може някой да го настрои да гледа за бъдещи срещи, или просто да се включват и scheduled конференции в таймлайна
Lukas Kovalik
Apr 22nd at 5:59:56 PM
5:59 PM
ами не знам, ровичках се в тях и може би за това ми са поясни
Apr 22nd at 6:00:29 PM
6:00
но да питай Галя ако иска да сменява
Apr 22nd at 6:01:43 PM
6:01
deal risk трябва да ти каже че сделка е под риск, ако са включени scheduled ти няма как да го отвориш и да виждаш, то трябва да е като playback
Jump to date
Stoyan Tomov
Apr 23rd at 9:55:24 AM
9:55 AM
добро утро
Apr 23rd at 9:56:16 AM
9:56
все още ли гледаме за нови сделки в хъбспот на 30 минути или и това е с webhooks?
Lukas Kovalik
Apr 23rd at 10:12:46 AM
10:12 AM
добро утро, ами май е вече на 5 мин от няколко дни
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Stoyan Tomov
Apr 23rd at 10:14:41 AM
10:14 AM
то това май важи и за контакти и акаунти или се бъркам?
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Lukas Kovalik
Apr 23rd at 10:15:02 AM
10:15 AM
да, sync objects
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Stoyan Tomov
Apr 23rd at 10:15:28 AM
10:15 AM
супер добре
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Apr 23rd at 10:15:48 AM
10:15
опитвах се да намеря инфо в confluence ама май не е писано там за синковете
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Lukas Kovalik
Apr 23rd at 10:21:03 AM
10:21 AM
от скоро е, Ники Николов го е правил тази седмица
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Apr 23rd at 10:21:15 AM
10:21
само ХС
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Stoyan Tomov
Apr 23rd at 10:22:19 AM
10:22 AM
dobre
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Stoyan Tomov
Apr 23rd at 2:23:07 PM
2:23 PM
може ли да ми кажеш набързо на какъв принцип импортваме контакти от Zoho?
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Lukas Kovalik
Apr 23rd at 2:25:21 PM
2:25 PM
здрасти
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Apr 23rd at 2:25:39 PM
2:25
в начало мисля че беше
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Stoyan Tomov
Apr 23rd at 2:25:51 PM
2:25 PM
може ли да ти звънна за две минутки?
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Lukas Kovalik
Apr 23rd at 2:26:01 PM
2:26 PM
няма remote search
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Apr 23rd at 2:26:02 PM
2:26
da
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A huddle happened
Apr 23rd at 2:26:07 PM
2:26 PM
You and
Stoyan Tomov
were in the huddle for
15m
.
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Stoyan Tomov
Apr 23rd at 2:54:19 PM
2:54 PM
това за дайлър разговорите да им се пушват съмаритата винаги важи за всички CRM-и нали така
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Apr 23rd at 2:54:26 PM
2:54
не е специфично само за Зохо
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Lukas Kovalik
Apr 23rd at 2:54:49 PM
2:54 PM
да
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Lukas Kovalik
Today at 6:30:36 PM
6:30 PM
здрасти
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Today at 6:30:42 PM
6:30
работиш ли още
(edited)
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Stoyan Tomov, Direct Message, 1 of 9 suggestions
Galya Dimitrova is typing
HomeActivityMoreSlackVIewMistonWindowJiminny…..~A External connections# StarredA jiminny-x-integrati...& platform-inner-team* Channels# ai-chapterualerts# backend# bugss contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launchesd random# releases# sofia-office# support# thank-yousd the neonle of timi...^ Direct messagesR. Stoyan TomovP. Galya Dimitrova EP, Aneliya AngelovaG. Vasil VasilevFR. Stefka StoyanovaSee Tlodor Ctamatov&. Mario Georgiev. Nikolay Ivanov2o James Graham2. Stoyan Tanev EF. Steliyan Georgiev. Petko KashinskiLukas Kovalik y..##:Apns• ToasthelpQ Describe what you are looking for. Stoyan Tomov• Messagest Add canvasUr FilesX Pinsвсе още ли гледаме за нови сделки в хъбспот на 30 минути или и това е с webhooks?lukas Kovalk 1012AMдобро утро, ами май е вече на 5 мин от няколко дниStoyan Tomov 10:14 AMто това маи важи и за контакти и акаунти или се оъокам:Lukas Kovalik 10:15 AMna, sync obiectsstoyan lomov 10:15 AMcyneo hoopeопитвах се да намеря инфо в contluence ама маи не е писано там за синковетеLukas Kovalik 10:21AMот скоро е, мики пиколов го е правил тази седмицасамо XaStoyan Tomov 10:22 AMdohreFind another reactionStoyan Tomov 2:23 PMможе ли ла ми кашеш набъюго на какие ппинцил импоптрамоLukas Kovallik 2:25 PMзлрастиStovan Tomov 2:25 PMможе ли ла ти звьнна за лве минутки.Lukas Kovalik 2:26 PMняма remore searchA huddle happened 2:26 PMVou and Ctavan Tomov were in the huddle for 1 5mStoyan Tomov 2:54PMтова за дайльр разговорите да им се пушват съмаритата винаги важи за всички CRM-и нали такане е специфично само за 3охоLukas Kovallk 2.54 pNTodayInkac Kovalik 4-20 prздрасти6:30 работиш ли още (edited)Message Stovan Tomov+ Aajiminny.atlassian.net/browse/JY-20891le geminilhow to change period indatadod tnere is metricand when I open it I seethere si narocoded trom toas like you're looking at a limeboard orfic Metric Explorer view where the timeeels stuck. In Datadog, the time rangeom" and "to") is usually controlled by thetime selector, but there are a few reasonsnight look hardcoded.how to unlock and change that period:Global Time Selectorvery top right of the Datadog interface,ee a time picker (e.g., "Past 1h", "Pasto change the duration: Click theopdown and select a preset or clickustom to set a specific start and endteltime.he "Fixed" Trap: If you arrived at theage via a shared link or a specificnapshot, the URL might contain a fixedrom_ts and to_ts . Clicking any of thelative time options (like "Past 1 Hour") willnter a prompt for GeminiFastvO JIMINNYg For you|(• Recent# Starred8$ Apps• Spaces+ ...C Service-DeskJiminny (New)I I1l Platform TeamŒI Capture TeamIM Enterprise Stability I...I Processing TeamŒID SE Kanban= More spaces.= FiltersDashboardsC÷ Operations& Confiuence:: Teamsº Customise sidebarnarize page• 40 hl o+ CreateQ SearchSpaces / Jiminny (New) /|[Q, Add parent / ₴ Jy-20891Sidekick SMS issueKey detailsDescriptionHey team,Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of Maywas not sent to one of his prospectsI tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn't find any trace of his attempted reply to that prospect([PHONE]).To send the text message, he replied to the email he got when the prospect texted him first:Text from 027 513 8300Ii call you backTo seond amesgo ock, ut epy o thle emal.And this is the email he got after replying to the email:Hello,Reportedly, the text message he tried sending was only two words long.Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that themessages were not sent. Below are the failure messages and the result of our testing:100% C/3 &• Thu 14 May 18:31:05Ask RovoCode ReviewV Software failurev 4* Improve Bug~ DetailsAssignee@ Lukas KovalikReporter@ Lukas KovalikDevelopmentQ Open with VS Code1 branch1 commit1 pull request1 build incomplete1 day agoOPEN)LabelsNoneSub-ProductAdd optionsStory PointsNoneOrganisationsNoneComponentsPlatformFix versionsNoneParentNoneSprint...
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Slack
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Stoyan Tomov (DM) - Jiminny Inc - 3 new items - Sl Stoyan Tomov (DM) - Jiminny Inc - 3 new items - Slack...
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45857
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FirefoxFileEditViewHistoryBookmarksProfilesToolsWi FirefoxFileEditViewHistoryBookmarksProfilesToolsWindowHelp(ahl100% CDOCKER₴81DEV (-zsh)82APP (-zsh)83-zshec2-user@ip-10-30-145-148:~84screenpipe*• ₴5ec2-user@ip-10-30-...86ec2-user@ip-10-20-...ec2-user@ip-10-30-...*8[2026-05-1414:10:57]qai.INFO: [HubSpot]2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}importContact {"crm_provider_id":"151395096100""config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151394949738"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151394799379","config_id" :980}2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57Jqai.INFO: [HubSpot] importContact {"crm_provider_id":"151390127471","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id":"82a[2026-05-14 14:10:58]qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389961123","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id":"82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389816120","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id"[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389713778"',"config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05", "trace_id" : "82a2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389693109","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05", "trace_id" : "82a2c8ad-b450-4e95-8d6b-eale80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389632351", "config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-dla6ad4efd05""trace_id": "82a2c8ad-b450-4e95-8d6b-eale80fd8e10"'}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389400699"',"config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"'}"trace_id": "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389400655","config_id":980}2c8ad-b450-4e95-8d6b-eale80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389111212""config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05".2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151388675477","config_id" :980}2c8ad-b450-4e95-8d6b-eale80fd8e10"'}, "trace_id": "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151373094246"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}, "config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-dla6ad4efd05""trace_id":"82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151317825376"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id": "82a...
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Firefox
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[JY-20891] Sidekick SMS issue - Jira — Work
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jiminny.atlassian.net/browse/JY-20891
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45858
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45859
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HomeActivityMoreSlackVIewMistonWindowJiminny... vA HomeActivityMoreSlackVIewMistonWindowJiminny... vA External connections# StarredA jiminny-x-integrati...& platform-inner-team* Channels# ai-chapteru alerts# backend# bugss contusion-clinic# curiosity_lab# engineering# general# liminny-bg# platform-tickets# product_launchesd random# releases# sofia-office# support# thank-yousd the neonle of timi...^ Direct messagesR. Stoyan TomovP. Galya Dimitrova EP, Aneliya AngelovaG. Vasil VasilevFR. Stefka StoyanovaSee Tlodor Ctamatov&. Mario Georgiev. Nikolay Ivanov2o James Graham2. Stoyan Tanev EF. Steliyan Georgiev. Petko KashinskiLukas Kovalik y..##:Apns• ToasthelpQ Describe what you are looking for. Stoyan Tomov• Messagest Add canvasUr FilesX Pinsвсе още ли гледаме за нови сделки в хъбспот на 30 минути или и това е с webhooks?lukas Kovalk 1012AMдобро утро, ами май е вече на 5 мин от няколко дниStoyan Tomov 10:14 AMто това маи важи и за контакти и акаунти или се оъокам:Lukas Kovalik 10:15 AMna, sync obiectsstoyan lomov 10:15 AMcyneo hoopeопитвах се да намеря инфо в contluence ама маи не е писано там за синковетеLukas Kovalik 10:21AMот скоро е, мики пиколов го е правил тази седмицасамо XaStoyan Tomov 10:22 AMdohreStoyan Tomov 2:23 PMможе ли ла ми кашеш набъюго на какие ппинцил импоптваме контакти от 7оhо?Lukas Kovallk 2.25 PMзпрастиStoyan Tomoy 2:25 PMможе ли ла ти звьнна за лве минутки.Lukas Kovalik 2:26 PMA huddle happened 2:26 PMVou and Ctavan Tomov were in the huddle for 1 5mStoyan Tomov 2:54PMтова за дайльр разговорите да им се пушват съмаритата винаги важи за всички CRM-и нали такане е специфично само за 3охоLukas Kovallk 2.54 pNInkac Kovalik 4-20 prздрасти6:30 работиш ли още (edited)Message Stovan Tomov+ Aajiminny.atlassian.net/browse/JY-20891le Geminilhow to change period indatadod tnere is metricand when I open it I seethere si narocoded trom toas like you're looking at a limeboard orfic Metric Explorer view where the timeeels stuck. In Datadog, the time rangeom" and "to") is usually controlled by thetime selector, but there are a few reasonsnight look hardcoded.how to unlock and change that period:Global Time Selectorvery top right of the Datadog interface,ee a time picker (e.g., "Past 1h", "Pasto change the duration: Click theopdown and select a preset or clickustom to set a specific start and endte/time..he "Fixed" Trap: If you arrived at theage via a shared link or a specificlapshot, the URL might contain a fixedrom_ts and to_ts . Clicking any of thelative time options (like "Past 1 Hour") willhter a prompt for GeminiFastvnarize pageO JIMINNYg For you|(@ Recent# Starred8$ AppsQ Spaces+ ...C Service-DeskJiminny (New)II1l Platform TeamŒI Capture TeamIM Enterprise Stability I...I Processing TeamŒID SE Kanban= More spaces.= FiltersDashboardsC÷ Operations& Confiuence:: Teamsº Customise sidebar• 40 h o+ CreateQ SearchSpaces / Jiminny (New) /|[, Add parent / XX JY-20891Sidekick SMS issueKey detailsDescriptionHey team,Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of Maywas not sent to one of his prospectsI tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn't find any trace of his attempted reply to that prospect([PHONE]).To send the text message, he replied to the email he got when the prospect texted him first:Text from 027 513 8300Ii call you backTo seond amesgo ock, ut epy o thle emal.And this is the email he got after replying to the email:Hello,Reportedly, the text message he tried sending was only two words long.Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that themessages were not sent. Below are the failure messages and the result of our testing:100% C/3 &• Thu 14 May 18:31:12Ask RovoCode ReviewV Software failurev 4* Improve Bug~ DetailsAssignee@ Lukas KovalikReporter@ Lukas KovalikDevelopmentQ Open with VS Code1 branch1 commit1 pull request1 build incomplete1 day agoOPEN)LabelsNoneSub-ProductAdd optionsStory PointsNoneOrganisationsNoneComponentsPlatformFix versionsNoneParentNoneSprint...
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Firefox
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[JY-20891] Sidekick SMS issue - Jira — Work
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jiminny.atlassian.net/browse/JY-20891
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45859
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45860
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ActivityFllesLaterJiminny... ~External connections ActivityFllesLaterJiminny... ~External connections# Starred© jiminny-x-integrati...& platform-inner-team# Channels# ai-chapterualerts# backend# bugs" confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launchesa random# releases# sofia-office# support# thank-yousd the neonle of iimi...^ Direct messagesR. Stoyan TomovP. Galya Dimitrova Ef Aneliva AneelovaG. Vasil VasilevFR. Stefka StoyanovaNec Tlodor Ctamatov8. Mario Georgiev. Nikolay Ivanov2o James Graham2. Stoyan Tanev EP. Steliyan GeorgievL. Petko KashinskiLukas Kovalik y..#:Apns• ToastQ Describe what you are looking for. Stoyan Tomov• Messagest Add canvasUr FilesX Pinsвсе още ли гледаме за нови сделки в хъбспот на 30 минути или и това е с webhooks?lukas Kovalk 1012AMдобро утро, ами май е вече на 5 мин от няколко дниStoyan Tomov 10:14 AMто това маи важи и за контакти и акаунти или се оъокам:Lukas Kovalik 10:15 AMna, sync obiectsstoyan lomov 10:15 AMcyneo hoopeопитвах се да намеря инфо в contluence ама маи не е писано там за синковетеLukas Kovalik 10:21 AMот скоро е, мики пиколов го е правил тази седмицасамо XaStoyan Tomov 10:22 AMdohreStoyan Tomov 2:23 PMможе ли ла ми кашеш набъюго на какие ппинцил импоптваме контакти от 7оhо?Lukas Kovallk 2:25 PMзлрастиStoyan Tomoy 2:25 PMможе ли ла ти звьнна за лве минутки.Lukas Kovalik 2:26 PMA huddle happened 2:26 PMVou and Ctavan Tomov were in the huddle for 15mlStoyan Tomov 2:54PMтова за дайльр разговорите да им се пушват съмаритата винаги важи за всички CRM-и нали такане в спепифиино сама за 2оудLukas Kovallk 2.54 PNTodayInkac Kovalik 4-20 prзлпастиработиш ли още (edited)Message Stovan Tomov+ Aajiminny.atlassian.net/browse/JY-20891le Geminilhow to change period indatadod tnere is metricand when I open it I seethere si narocoded trom toas like you re looking at a limeboard orfic Metric Explorer view where the timeeels stuck. In Datadog, the time rangeom" and "to") is usually controlled by thetime selector, but there are a few reasonsnight look hardcoded.how to unlock and change that period:Global Time Selectorvery top right of the Datadog interface,ee a time picker (e.g., "Past 1h", "Pasto change the duration: Click theopdown and select a preset or clickustom to set a specific start and endteltime.he "Fixed" Trap: If you arrived at theage via a shared link or a specificnapshot, the URL might contain a fixedrom_ts and to_ts. Clicking any of thelative time options (like "Past 1 Hour") willnter a prompt for GeminiFastvko micakec co colllale checkt Yotr orivaevnarize pageO JIMINNYg For you|(@ Recent# Starred8$ Apps• Spaces+ ...C Service-DeskJiminny (New)- ***II1l Platform TeamŒI Capture TeamIM Enterprise Stability I...I Processing TeamŒID SE Kanban= More spaces.= FiltersDashboardsC÷ Operations& Confiuence:: Teamsº Customise sidebar→д0 lo114)+ CreateQ SearchSpaces / Jiminny (New) /|[Q, Add parent / ₴ Jy-20891Sidekick SMS issueKey detailsDescriptionHey team,Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of Maywas not sent to one of his prospectsiI tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn't find any trace of his attempted reply to that prospect([PHONE]).To send the text message, he replied to the email he got when the prospect texted him first:Text from 027 513 8300Ii call you backTo seond amesgo ock, ut epy o thle emal.And this is the email he got after replying to the email:Hello,Reportedly, the text message he tried sending was only two words long.Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that themessages were not sent. Below are the failure messages and the result of our testing:100% .• Inu 14 May 18.31-10Ask RovoCode ReviewV Software failurev 4* Improve Bug~ DetailsAssignee@ Lukas KovalikReporter@ Lukas KovalikDevelopmentQ Open with VS Code1 branch1 commit1 pull request1 build incomplete1 day agoOPEN)LabelsNoneSub-ProductAdd optionsStory PointsNoneOrganisationsNoneComponentsPlatformFix versionsNoneParentNoneSprint...
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iTerm2
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NULL
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45861
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ggml_metal_free: deallocating
whisper_backend_init ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:07:17.813880Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:07:25.268127Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=10 elapsed=1.819536167s
2026-05-14T18:07:25.268371Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 10 eligible frames
2026-05-14T18:07:25.824320Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 5 frames, 0.6MB → 0.2MB (4.0x), 5 JPEGs deleted
2026-05-14T18:07:26.273059Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 3 frames, 0.7MB → 0.4MB (1.7x), 3 JPEGs deleted
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:09:20.299383Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
tip: get the screenpipe desktop app for the full experience
https://screenpi.pe
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:11:22.783747Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:12:29.052150Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=2 elapsed=2.751484125s
2026-05-14T18:12:29.052294Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:13:25.193120Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:15:27.572444Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:17:04.060905Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-14T18:17:04.086797Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-14T18:17:04.289459Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-14T18:17:04.514888Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-14T18:17:04.557979Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-14T18:17:05.242244Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-14T18:17:05.549376Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-14T18:17:05.549451Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-14T18:17:06.308691Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-14T18:17:06.846677Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-14T18:17:06.846824Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-14T18:17:06.846890Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-14T18:17:07.444669Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=0 rows_returned=374 elapsed=3.00804925s
2026-05-14T18:17:11.045310Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 160.8ms elapsed (expected 5.3ms) → inserting 155.4ms silence (14923 samples)
2026-05-14T18:17:12.775454Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 83.0ms elapsed (expected 5.3ms) → inserting 77.7ms silence (7460 samples)
2026-05-14T18:17:19.588065Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4915557953454808779, trigger=visual_change)
2026-05-14T18:17:19.712429Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-4915557953454808779, trigger=visual_change)
2026-05-14T18:17:25.869045Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-4915557953454808779, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:17:32.516386Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 86.0ms elapsed (expected 5.3ms) → inserting 80.7ms silence (7745 samples)
2026-05-14T18:17:32.920163Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:17:41.655714Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=0 elapsed=12.584709333s
2026-05-14T18:17:41.659296Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=0 rows_returned=375 elapsed=1.525763459s
2026-05-14T18:19:15.613896Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=0 rows_returned=383 elapsed=1.089600916s
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:19:38.508186Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:19:45.114427Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-554583693258477392, trigger=click)
2026-05-14T18:19:55.429434Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-554583693258477392, trigger=visual_change)
2026-05-14T18:19:57.285192Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-554583693258477392, trigger=click)
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-14T18:20:28.676631Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8971157115277618803, trigger=click)
2026-05-14T18:20:55.977460Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-1564715759782373567, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:21:41.262468Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:22:46.614239Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=1 rows_returned=0 elapsed=4.94553125s
2026-05-14T18:22:52.962854Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=0 rows_returned=392 elapsed=1.0767815s
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:23:45.030577Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:24:19.699073Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 81.3ms elapsed (expected 5.3ms) → inserting 75.9ms silence (7288 samples)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:25:49.236566Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:27:52.060944Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=17 elapsed=5.421659208s
2026-05-14T18:27:52.061111Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 17 eligible frames
2026-05-14T18:27:52.632428Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:27:53.132060Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 9 frames, 1.2MB → 0.6MB (2.2x), 9 JPEGs deleted
2026-05-14T18:27:54.278904Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 1.1MB (1.4x), 8 JPEGs deleted
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv ...
|
iTerm2
|
screenpipe"
|
NULL
|
45861
|
|
45862
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Hidden Bar•DOCKER₴81DEV (-zsh)882APP (-zsh)83-zsh+ Hidden Bar•DOCKER₴81DEV (-zsh)882APP (-zsh)83-zsh+ec2-user@ip-10-30-145-148:~84screenpipe"*1100% C8•Thu 14 May18:31:16• ₴5ec2-user@ip-10-30-...86ec2-user@ip-10-20-…..ec2-user@ip-10-30-...*8[2026-05-14 14:10:57]qai.INFO: [HubSpot]2c8ad-b450-4e95-8d6b-ea1e80fd8e10"'}importContact {"crm_provider_id":"151395096100""config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id": "82a[2026-05-14 14:10:57] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151394949738"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151394799379""config_id":980}2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id":"82a[2026-05-14 14:10:57] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151390127471", "config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-dla6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id":"82a[2026-05-14 14:10:58]qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389961123","config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"trace_id":"82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389816120"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"'}"config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id": "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389713778"',"config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05", "trace_id": "82a2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389693109""config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-dla6ad4efd05", "trace_id" : "82a2c8ad-b450-4e95-8d6b-eale80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389632351", "config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-dla6ad4efd05""trace_id": "82a2c8ad-b450-4e95-8d6b-eale80fd8e10"'}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389400699"',"config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"'}"trace_id": "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389400655","config_id":980}2c8ad-b450-4e95-8d6b-ea1e80fd8e10"'}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151389111212""config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05".2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151388675477","config_id" :980}2c8ad-b450-4e95-8d6b-eale80fd8e10"'}, "trace_id": "82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151373094246"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}, "config_id":980} {"correlation_id":"a5708a1c-c148-4723-a615-dla6ad4efd05""trace_id":"82a[2026-05-14 14:10:58] qai.INFO: [HubSpot] importContact {"crm_provider_id":"151317825376"2c8ad-b450-4e95-8d6b-ea1e80fd8e10"}"config_id":980}{"correlation_id":"a5708a1c-c148-4723-a615-d1a6ad4efd05""trace_id": "82a...
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iTerm2
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45862
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45863
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ggml_metal_free: deallocating
whisper_backend_init ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:07:17.813880Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:07:25.268127Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=10 elapsed=1.819536167s
2026-05-14T18:07:25.268371Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 10 eligible frames
2026-05-14T18:07:25.824320Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 5 frames, 0.6MB → 0.2MB (4.0x), 5 JPEGs deleted
2026-05-14T18:07:26.273059Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 3 frames, 0.7MB → 0.4MB (1.7x), 3 JPEGs deleted
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:09:20.299383Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
tip: get the screenpipe desktop app for the full experience
https://screenpi.pe
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:11:22.783747Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:12:29.052150Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=2 elapsed=2.751484125s
2026-05-14T18:12:29.052294Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:13:25.193120Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:15:27.572444Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:17:04.060905Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-14T18:17:04.086797Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-14T18:17:04.289459Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-14T18:17:04.514888Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-14T18:17:04.557979Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-14T18:17:05.242244Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-14T18:17:05.549376Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-14T18:17:05.549451Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-14T18:17:06.308691Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-14T18:17:06.846677Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-14T18:17:06.846824Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-14T18:17:06.846890Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-14T18:17:07.444669Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=0 rows_returned=374 elapsed=3.00804925s
2026-05-14T18:17:11.045310Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 160.8ms elapsed (expected 5.3ms) → inserting 155.4ms silence (14923 samples)
2026-05-14T18:17:12.775454Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 83.0ms elapsed (expected 5.3ms) → inserting 77.7ms silence (7460 samples)
2026-05-14T18:17:19.588065Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-4915557953454808779, trigger=visual_change)
2026-05-14T18:17:19.712429Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-4915557953454808779, trigger=visual_change)
2026-05-14T18:17:25.869045Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-4915557953454808779, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:17:32.516386Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 86.0ms elapsed (expected 5.3ms) → inserting 80.7ms silence (7745 samples)
2026-05-14T18:17:32.920163Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:17:41.655714Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=0 elapsed=12.584709333s
2026-05-14T18:17:41.659296Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=0 rows_returned=375 elapsed=1.525763459s
2026-05-14T18:19:15.613896Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=0 rows_returned=383 elapsed=1.089600916s
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:19:38.508186Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:19:45.114427Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-554583693258477392, trigger=click)
2026-05-14T18:19:55.429434Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-554583693258477392, trigger=visual_change)
2026-05-14T18:19:57.285192Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-554583693258477392, trigger=click)
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-14T18:20:28.676631Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8971157115277618803, trigger=click)
2026-05-14T18:20:55.977460Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-1564715759782373567, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:21:41.262468Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:22:46.614239Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=1 rows_returned=0 elapsed=4.94553125s
2026-05-14T18:22:52.962854Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=0 rows_returned=392 elapsed=1.0767815s
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:23:45.030577Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:24:19.699073Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 81.3ms elapsed (expected 5.3ms) → inserting 75.9ms silence (7288 samples)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:25:49.236566Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T18:27:52.060944Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=17 elapsed=5.421659208s
2026-05-14T18:27:52.061111Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 17 eligible frames
2026-05-14T18:27:52.632428Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T18:27:53.132060Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 9 frames, 1.2MB → 0.6MB (2.2x), 9 JPEGs deleted
2026-05-14T18:27:54.278904Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 1.1MB (1.4x), 8 JPEGs deleted
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv ...
|
iTerm2
|
screenpipe"
|
NULL
|
45863
|
|
45864
|
rsync LakyLak bose qc35 II (input)_2026-05-13_07-0 rsync LakyLak bose qc35 II (input)_2026-05-13_07-06-33.mp4 → NAS ✓ 194K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-07-03.mp4 → NAS ✓ 196K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-07-33.mp4 → NAS ✓ 200K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-08-03.mp4 → NAS ✓ 203K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-08-33.mp4 → NAS ✓ 214K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-09-03.mp4 → NAS ✓ 216K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-09-33.mp4 → NAS ✓ 196K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-10-03.mp4 → NAS ✓ 194K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-10-33.mp4 → NAS ✓ 198K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-11-03.mp4 → NAS ✓ 200K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-11-33.mp4 → NAS ✓ 237K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-12-03.mp4 → NAS ✓ 227K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-12-33.mp4 → NAS ✓ 225K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-13-03.mp4 → NAS ✓ 217K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-13-33.mp4 → NAS ✓ 204K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-14-03.mp4 → NAS ✓ 202K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-14-33.mp4 → NAS ✓ 204K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-15-03.mp4 → NAS ✓ 203K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-15-33.mp4 → NAS ✓ 207K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-16-03.mp4 → NAS ✓ 203K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-16-33.mp4 → NAS ✓ 202K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-17-03.mp4 → NAS ✓ 199K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-17-33.mp4 → NAS ✓ 207K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-18-03.mp4 → NAS ✓ 203K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-18-33.mp4 → NAS ✓ 202K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-19-03.mp4 → NAS ✓ 205K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-19-33.mp4 → NAS ✓ 204K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-20-03.mp4 → NAS ✓ 200K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-20-33.mp4 → NAS ✓ 195K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-21-03.mp4 → NAS ✓ 196K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-21-33.mp4 → NAS ✓ 201K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-22-03.mp4 → NAS ✓ 214K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-25-32.mp4 → NAS ✓ 220K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-27-32.mp4 → NAS ✓ 239K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-28-02.mp4 → NAS ✓ 212K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-28-32.mp4 → NAS ✓ 213K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-29-02.mp4 → NAS ✓ 227K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-29-32.mp4 → NAS ✓ 205K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-30-02.mp4 → NAS ✓ 197K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-30-32.mp4 → NAS ✓ 205K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-31-02.mp4 → NAS ✓ 213K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-31-32.mp4 → NAS ✓ 204K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-32-02.mp4 → NAS ✓ 203K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-32-32.mp4 → NAS ✓ 211K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-33-02.mp4 → NAS ✓ 206K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-33-32.mp4 → NAS ✓ 211K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-34-02.mp4 → NAS ✓ 208K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-34-32.mp4 → NAS ✓ 210K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-35-02.mp4 → NAS ✓ 208K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-35-32.mp4 → NAS ✓ 205K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-36-02.mp4 → NAS ✓ 205K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-36-32.mp4 → NAS ✓ 216K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-37-02.mp4 → NAS ✓ 205K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-37-32.mp4 → NAS ✓ 207K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-38-02.mp4 → NAS ✓ 206K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-38-32.mp4 → NAS ✓ 226K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-39-02.mp4 → NAS ✓ 206K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-39-32.mp4 → NAS ✓ 214K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-40-02.mp4 → NAS ✓ 212K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-40-32.mp4 → NAS ✓ 214K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-41-02.mp4 → NAS ✓ 214K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-41-32.mp4 → NAS ✓ 205K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-42-02.mp4 → NAS ✓ 201K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-42-32.mp4 → NAS ✓ 207K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-43-02.mp4 → NAS ✓ 210K
rsync LakyLak bose qc35 II (input)_2026-05-13_07-53-01.mp4 → NAS ✓ 223K
rsync MacBook Pro Microphone (input)_2026-05-13_07-53-37.mp4 → NAS ✓ 206K
rsync MacBook Pro Microphone (input)_2026-05-13_07-54-09.mp4 → NAS ✓ 203K
rsync MacBook Pro Microphone (input)_2026-05-13_07-54-39.mp4 → NAS ✓ 203K
rsync MacBook Pro Microphone (input)_2026-05-13_07-55-09.mp4 → NAS ✓ 202K
rsync MacBook Pro Microphone (input)_2026-05-13_07-55-39.mp4 → NAS ✓ 202K
rsync MacBook Pro Microphone (input)_2026-05-13_07-56-08.mp4 → NAS ✓ 205K
rsync MacBook Pro Microphone (input)_2026-05-13_07-56-39.mp4 → NAS ✓ 115K
rsync MacBook Pro Microphone (input)_2026-05-13_07-56-55.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_07-57-19.mp4 → NAS ✓ 37K
rsync soundcore AeroClip (input)_2026-05-13_07-57-51.mp4 → NAS ✓ 98K
rsync soundcore AeroClip (input)_2026-05-13_07-58-21.mp4 → NAS ✓ 159K
rsync soundcore AeroClip (input)_2026-05-13_07-58-51.mp4 → NAS ✓ 123K
rsync soundcore AeroClip (input)_2026-05-13_07-59-21.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_07-59-51.mp4 → NAS ✓ 50K
rsync soundcore AeroClip (input)_2026-05-13_08-00-21.mp4 → NAS ✓ 62K
rsync soundcore AeroClip (input)_2026-05-13_08-00-50.mp4 → NAS ✓ 27K
rsync soundcore AeroClip (input)_2026-05-13_08-01-20.mp4 → NAS ✓ 23K
rsync soundcore AeroClip (input)_2026-05-13_08-01-50.mp4 → NAS ✓ 26K
rsync soundcore AeroClip (input)_2026-05-13_08-02-20.mp4 → NAS ✓ 25K
rsync soundcore AeroClip (input)_2026-05-13_08-02-50.mp4 → NAS ✓ 33K
rsync soundcore AeroClip (input)_2026-05-13_08-03-20.mp4 → NAS ✓ 77K
rsync soundcore AeroClip (input)_2026-05-13_08-03-50.mp4 → NAS ✓ 116K
rsync soundcore AeroClip (input)_2026-05-13_08-04-20.mp4 → NAS ✓ 119K
rsync soundcore AeroClip (input)_2026-05-13_08-04-50.mp4 → NAS ✓ 169K
rsync soundcore AeroClip (input)_2026-05-13_08-05-20.mp4 → NAS ✓ 103K
rsync soundcore AeroClip (input)_2026-05-13_08-05-50.mp4 → NAS ✓ 41K
rsync soundcore AeroClip (input)_2026-05-13_08-06-20.mp4 → NAS ✓ 34K
rsync soundcore AeroClip (input)_2026-05-13_08-06-50.mp4 → NAS ✓ 23K
rsync soundcore AeroClip (input)_2026-05-13_08-07-20.mp4 → NAS ✓ 29K
rsync soundcore AeroClip (input)_2026-05-13_08-07-50.mp4 → NAS ✓ 29K
rsync soundcore AeroClip (input)_2026-05-13_08-08-20.mp4 → NAS ✓ 41K
rsync soundcore AeroClip (input)_2026-05-13_08-08-50.mp4 → NAS ✓ 19K
rsync soundcore AeroClip (input)_2026-05-13_08-09-20.mp4 → NAS ✓ 21K
rsync soundcore AeroClip (input)_2026-05-13_08-09-50.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_08-10-20.mp4 → NAS ✓ 13K
rsync soundcore AeroClip (input)_2026-05-13_08-10-58.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_08-11-30.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_08-12-00.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_08-12-30.mp4 → NAS ✓ 8.0K
rsync soundcore AeroClip (input)_2026-05-13_08-13-00.mp4 → NAS ✓ 20K
rsync soundcore AeroClip (input)_2026-05-13_08-13-30.mp4 → NAS ✓ 20K
rsync soundcore AeroClip (input)_2026-05-13_08-14-00.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_08-14-30.mp4 → NAS ✓ 14K
rsync soundcore AeroClip (input)_2026-05-13_08-15-00.mp4 → NAS ✓ 19K
rsync soundcore AeroClip (input)_2026-05-13_08-15-30.mp4 → NAS ✓ 16K
rsync soundcore AeroClip (input)_2026-05-13_08-16-00.mp4 → NAS ✓ 30K
rsync soundcore AeroClip (input)_2026-05-13_08-16-30.mp4 → NAS ✓ 23K
rsync soundcore AeroClip (input)_2026-05-13_08-17-00.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_08-17-30.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_08-18-00.mp4 → NAS ✓ 13K
rsync soundcore AeroClip (input)_2026-05-13_08-18-30.mp4 → NAS ✓ 32K
rsync soundcore AeroClip (input)_2026-05-13_08-19-00.mp4 → NAS ✓ 30K
rsync soundcore AeroClip (input)_2026-05-13_08-19-30.mp4 → NAS ✓ 23K
rsync soundcore AeroClip (input)_2026-05-13_08-20-00.mp4 → NAS ✓ 41K
rsync soundcore AeroClip (input)_2026-05-13_08-20-30.mp4 → NAS ✓ 35K
rsync soundcore AeroClip (input)_2026-05-13_08-21-00.mp4 → NAS ✓ 29K
rsync soundcore AeroClip (input)_2026-05-13_08-21-30.mp4 → NAS ✓ 16K
rsync soundcore AeroClip (input)_2026-05-13_08-22-00.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_08-22-30.mp4 → NAS ✓ 14K
rsync soundcore AeroClip (input)_2026-05-13_08-23-00.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_08-23-30.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_08-24-00.mp4 → NAS ✓ 6.0K
rsync soundcore AeroClip (input)_2026-05-13_08-24-30.mp4 → NAS ✓ 33K
rsync soundcore AeroClip (input)_2026-05-13_08-25-00.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_08-25-30.mp4 → NAS ✓ 24K
rsync soundcore AeroClip (input)_2026-05-13_08-26-00.mp4 → NAS ✓ 21K
rsync soundcore AeroClip (input)_2026-05-13_08-26-29.mp4 → NAS ✓ 13K
rsync soundcore AeroClip (input)_2026-05-13_08-26-59.mp4 → NAS ✓ 14K
rsync soundcore AeroClip (input)_2026-05-13_08-27-29.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_08-27-59.mp4 → NAS ✓ 25K
rsync soundcore AeroClip (input)_2026-05-13_08-28-29.mp4 → NAS ✓ 7.0K
rsync soundcore AeroClip (input)_2026-05-13_08-28-59.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_08-29-29.mp4 → NAS ✓ 27K
rsync soundcore AeroClip (input)_2026-05-13_08-29-59.mp4 → NAS ✓ 16K
rsync soundcore AeroClip (input)_2026-05-13_08-30-29.mp4 → NAS ✓ 38K
rsync soundcore AeroClip (input)_2026-05-13_08-30-59.mp4 → NAS ✓ 35K
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rsync soundcore AeroClip (input)_2026-05-13_08-36-29.mp4 → NAS ✓ 9.0K
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rsync soundcore AeroClip (input)_2026-05-13_08-44-55.mp4 → NAS ✓ 9.0K
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rsync soundcore AeroClip (input)_2026-05-13_08-50-55.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_08-51-25.mp4 → NAS ✓ 7.0K
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rsync soundcore AeroClip (input)_2026-05-13_08-54-55.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_08-55-25.mp4 → NAS ✓ 34K
rsync soundcore AeroClip (input)_2026-05-13_08-55-55.mp4 → NAS ✓ 18K
rsync soundcore AeroClip (input)_2026-05-13_08-56-25.mp4 → NAS ✓ 23K
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rsync soundcore AeroClip (input)_2026-05-13_08-57-55.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_08-58-25.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_08-58-55.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_08-59-25.mp4 → NAS ✓ 24K
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rsync soundcore AeroClip (input)_2026-05-13_09-00-25.mp4 → NAS ✓ 17K
rsync soundcore AeroClip (input)_2026-05-13_09-00-55.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_09-01-25.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_09-01-55.mp4 → NAS ✓ 14K
rsync soundcore AeroClip (input)_2026-05-13_09-02-25.mp4 → NAS ✓ 7.0K
rsync soundcore AeroClip (input)_2026-05-13_09-02-55.mp4 → NAS ✓ 26K
rsync soundcore AeroClip (input)_2026-05-13_09-03-25.mp4 → NAS ✓ 26K
rsync soundcore AeroClip (input)_2026-05-13_09-03-55.mp4 → NAS ✓ 14K
rsync soundcore AeroClip (input)_2026-05-13_09-04-25.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_09-04-55.mp4 → NAS ✓ 17K
rsync soundcore AeroClip (input)_2026-05-13_09-05-25.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_09-05-55.mp4 → NAS ✓ 23K
rsync soundcore AeroClip (input)_2026-05-13_09-06-25.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_09-07-06.mp4 → NAS ✓ 7.0K
rsync soundcore AeroClip (input)_2026-05-13_09-07-39.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_09-08-08.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_09-08-38.mp4 → NAS ✓ 16K
rsync soundcore AeroClip (input)_2026-05-13_09-09-08.mp4 → NAS ✓ 13K
rsync soundcore AeroClip (input)_2026-05-13_09-09-38.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_09-10-08.mp4 → NAS ✓ 24K
rsync soundcore AeroClip (input)_2026-05-13_09-10-38.mp4 → NAS ✓ 17K
rsync soundcore AeroClip (input)_2026-05-13_09-11-08.mp4 → NAS ✓ 20K
rsync soundcore AeroClip (input)_2026-05-13_09-11-38.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_09-12-08.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_09-12-38.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_09-13-08.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_09-13-38.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_09-14-08.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_09-14-38.mp4 → NAS ✓ 17K
rsync soundcore AeroClip (input)_2026-05-13_09-15-08.mp4 → NAS ✓ 6.0K
rsync soundcore AeroClip (input)_2026-05-13_09-15-38.mp4 → NAS ✓ 16K
rsync soundcore AeroClip (input)_2026-05-13_09-16-08.mp4 → NAS ✓ 17K
rsync soundcore AeroClip (input)_2026-05-13_09-16-38.mp4 → NAS ✓ 14K
rsync soundcore AeroClip (input)_2026-05-13_09-17-08.mp4 → NAS ✓ 17K
rsync soundcore AeroClip (input)_2026-05-13_09-17-38.mp4 → NAS ✓ 20K
rsync soundcore AeroClip (input)_2026-05-13_09-18-08.mp4 → NAS ✓ 14K
rsync soundcore AeroClip (input)_2026-05-13_09-18-56.mp4 → NAS ✓ 19K
rsync soundcore AeroClip (input)_2026-05-13_09-19-28.mp4 → NAS ✓ 13K
rsync soundcore AeroClip (input)_2026-05-13_09-19-58.mp4 → NAS ✓ 11K
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rsync soundcore AeroClip (input)_2026-05-13_09-21-21.mp4 → NAS ✓ 17K
rsync soundcore AeroClip (input)_2026-05-13_09-21-53.mp4 → NAS ✓ 29K
rsync soundcore AeroClip (input)_2026-05-13_09-22-23.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_09-22-53.mp4 → NAS ✓ 7.0K
rsync soundcore AeroClip (input)_2026-05-13_09-23-23.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_09-23-53.mp4 → NAS ✓ 6.0K
rsync soundcore AeroClip (input)_2026-05-13_09-24-23.mp4 → NAS ✓ 8.0K
rsync soundcore AeroClip (input)_2026-05-13_09-24-53.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_09-25-23.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_09-25-53.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_09-26-23.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_09-26-53.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_09-27-23.mp4 → NAS ✓ 52K
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rsync soundcore AeroClip (input)_2026-05-13_09-28-23.mp4 → NAS ✓ 19K
rsync soundcore AeroClip (input)_2026-05-13_09-28-53.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_09-29-23.mp4 → NAS ✓ 23K
rsync soundcore AeroClip (input)_2026-05-13_09-29-53.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_09-30-23.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_09-30-53.mp4 → NAS ✓ 44K
rsync soundcore AeroClip (input)_2026-05-13_09-31-23.mp4 → NAS ✓ 14K
rsync soundcore AeroClip (input)_2026-05-13_09-31-53.mp4 → NAS ✓ 22K
rsync soundcore AeroClip (input)_2026-05-13_09-32-23.mp4 → NAS ✓ 14K
rsync soundcore AeroClip (input)_2026-05-13_09-32-53.mp4 → NAS ✓ 18K
rsync soundcore AeroClip (input)_2026-05-13_09-33-23.mp4 → NAS ✓ 8.0K
rsync soundcore AeroClip (input)_2026-05-13_09-33-53.mp4 → NAS ✓ 6.0K
rsync soundcore AeroClip (input)_2026-05-13_09-34-23.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_09-34-53.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_09-35-23.mp4 → NAS ✓ 16K
rsync soundcore AeroClip (input)_2026-05-13_09-35-53.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_09-36-23.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_09-36-53.mp4 → NAS ✓ 23K
rsync soundcore AeroClip (input)_2026-05-13_09-37-23.mp4 → NAS ✓ 27K
rsync soundcore AeroClip (input)_2026-05-13_09-37-53.mp4 → NAS ✓ 19K
rsync soundcore AeroClip (input)_2026-05-13_09-38-23.mp4 → NAS ✓ 20K
rsync soundcore AeroClip (input)_2026-05-13_09-38-53.mp4 → NAS ✓ 18K
rsync soundcore AeroClip (input)_2026-05-13_09-39-22.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_09-39-52.mp4 → NAS ✓ 8.0K
rsync soundcore AeroClip (input)_2026-05-13_09-40-36.mp4 → NAS ✓ 25K
rsync soundcore AeroClip (input)_2026-05-13_09-41-08.mp4 → NAS ✓ 63K
rsync soundcore AeroClip (input)_2026-05-13_09-41-38.mp4 → NAS ✓ 37K
rsync soundcore AeroClip (input)_2026-05-13_09-42-30.mp4 → NAS ✓ 64K
rsync MacBook Pro Microphone (input)_2026-05-13_09-45-33.mp4 → NAS ✓ 200K
rsync MacBook Pro Microphone (input)_2026-05-13_09-49-33.mp4 → NAS ✓ 196K
rsync MacBook Pro Microphone (input)_2026-05-13_09-50-03.mp4 → NAS ✓ 206K
rsync MacBook Pro Microphone (input)_2026-05-13_09-50-33.mp4 → NAS ✓ 210K
rsync MacBook Pro Microphone (input)_2026-05-13_09-51-02.mp4 → NAS ✓ 197K
rsync MacBook Pro Microphone (input)_2026-05-13_09-51-32.mp4 → NAS ✓ 202K
rsync MacBook Pro Microphone (input)_2026-05-13_09-52-02.mp4 → NAS ✓ 202K
rsync MacBook Pro Microphone (input)_2026-05-13_09-52-32.mp4 → NAS ✓ 198K
rsync MacBook Pro Microphone (input)_2026-05-13_09-53-02.mp4 → NAS ✓ 194K
rsync MacBook Pro Microphone (input)_2026-05-13_09-53-32.mp4 → NAS ✓ 189K
rsync MacBook Pro Microphone (input)_2026-05-13_09-54-02.mp4 → NAS ✓ 191K
rsync MacBook Pro Microphone (input)_2026-05-13_09-54-32.mp4 → NAS ✓ 196K
rsync MacBook Pro Microphone (input)_2026-05-13_09-55-02.mp4 → NAS ✓ 196K
rsync MacBook Pro Microphone (input)_2026-05-13_09-55-32.mp4 → NAS ✓ 197K
rsync MacBook Pro Microphone (input)_2026-05-13_09-56-02.mp4 → NAS ✓ 193K
rsync MacBook Pro Microphone (input)_2026-05-13_09-56-32.mp4 → NAS ✓ 187K
rsync MacBook Pro Microphone (input)_2026-05-13_09-57-02.mp4 → NAS ✓ 189K
rsync MacBook Pro Microphone (input)_2026-05-13_09-57-31.mp4 → NAS ✓ 194K
rsync MacBook Pro Microphone (input)_2026-05-13_09-58-01.mp4 → NAS ✓ 192K
rsync MacBook Pro Microphone (input)_2026-05-13_09-58-31.mp4 → NAS ✓ 198K
rsync MacBook Pro Microphone (input)_2026-05-13_09-59-01.mp4 → NAS ✓ 195K
rsync MacBook Pro Microphone (input)_2026-05-13_09-59-31.mp4 → NAS ✓ 193K
rsync MacBook Pro Microphone (input)_2026-05-13_10-00-01.mp4 → NAS ✓ 167K
rsync MacBook Pro Microphone (input)_2026-05-13_10-00-25.mp4 → NAS ✓ 18K
rsync soundcore AeroClip (input)_2026-05-13_10-00-42.mp4 → NAS ✓ 22K
rsync soundcore AeroClip (input)_2026-05-13_10-01-14.mp4 → NAS ✓ 17K
rsync soundcore AeroClip (input)_2026-05-13_10-01-44.mp4 → NAS ✓ 50K
rsync soundcore AeroClip (input)_2026-05-13_10-02-14.mp4 → NAS ✓ 66K
rsync soundcore AeroClip (input)_2026-05-13_10-02-44.mp4 → NAS ✓ 54K
rsync soundcore AeroClip (input)_2026-05-13_10-03-14.mp4 → NAS ✓ 26K
rsync soundcore AeroClip (input)_2026-05-13_10-03-43.mp4 → NAS ✓ 48K
rsync soundcore AeroClip (input)_2026-05-13_10-04-13.mp4 → NAS ✓ 25K
rsync soundcore AeroClip (input)_2026-05-13_10-04-43.mp4 → NAS ✓ 24K
rsync soundcore AeroClip (input)_2026-05-13_10-05-13.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_10-05-43.mp4 → NAS ✓ 32K
rsync soundcore AeroClip (input)_2026-05-13_10-06-13.mp4 → NAS ✓ 19K
rsync soundcore AeroClip (input)_2026-05-13_10-06-43.mp4 → NAS ✓ 18K
rsync soundcore AeroClip (input)_2026-05-13_10-07-13.mp4 → NAS ✓ 31K
rsync soundcore AeroClip (input)_2026-05-13_10-07-43.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_10-08-13.mp4 → NAS ✓ 8.0K
rsync soundcore AeroClip (input)_2026-05-13_10-08-43.mp4 → NAS ✓ 27K
rsync soundcore AeroClip (input)_2026-05-13_10-09-13.mp4 → NAS ✓ 57K
rsync soundcore AeroClip (input)_2026-05-13_10-09-43.mp4 → NAS ✓ 49K
rsync soundcore AeroClip (input)_2026-05-13_10-10-13.mp4 → NAS ✓ 77K
rsync soundcore AeroClip (input)_2026-05-13_10-10-43.mp4 → NAS ✓ 91K
rsync soundcore AeroClip (input)_2026-05-13_10-11-13.mp4 → NAS ✓ 44K
rsync soundcore AeroClip (input)_2026-05-13_10-11-43.mp4 → NAS ✓ 65K
rsync soundcore AeroClip (input)_2026-05-13_10-12-13.mp4 → NAS ✓ 95K
rsync soundcore AeroClip (input)_2026-05-13_10-12-43.mp4 → NAS ✓ 96K
rsync soundcore AeroClip (input)_2026-05-13_10-13-13.mp4 → NAS ✓ 58K
rsync soundcore AeroClip (input)_2026-05-13_10-13-43.mp4 → NAS ✓ 87K
rsync soundcore AeroClip (input)_2026-05-13_10-14-13.mp4 → NAS ✓ 100K
rsync soundcore AeroClip (input)_2026-05-13_10-14-43.mp4 → NAS ✓ 109K
rsync soundcore AeroClip (input)_2026-05-13_10-15-13.mp4 → NAS ✓ 25K
rsync soundcore AeroClip (input)_2026-05-13_10-15-43.mp4 → NAS ✓ 11K
rsync soundcore AeroClip (input)_2026-05-13_10-16-13.mp4 → NAS ✓ 6.0K
rsync soundcore AeroClip (input)_2026-05-13_10-16-50.mp4 → NAS ✓ 8.0K
rsync soundcore AeroClip (input)_2026-05-13_10-17-23.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_10-17-53.mp4 → NAS ✓ 34K
rsync soundcore AeroClip (input)_2026-05-13_10-18-23.mp4 → NAS ✓ 20K
rsync soundcore AeroClip (input)_2026-05-13_10-18-53.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_10-19-23.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_10-19-53.mp4 → NAS ✓ 7.0K
rsync soundcore AeroClip (input)_2026-05-13_10-20-23.mp4 → NAS ✓ 6.0K
rsync soundcore AeroClip (input)_2026-05-13_10-20-53.mp4 → NAS ✓ 8.0K
rsync soundcore AeroClip (input)_2026-05-13_10-21-23.mp4 → NAS ✓ 23K
rsync soundcore AeroClip (input)_2026-05-13_10-21-53.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_10-22-49.mp4 → NAS ✓ 6.0K
rsync soundcore AeroClip (input)_2026-05-13_10-23-36.mp4 → NAS ✓ 6.0K
rsync soundcore AeroClip (input)_2026-05-13_10-24-08.mp4 → NAS ✓ 16K
rsync soundcore AeroClip (input)_2026-05-13_10-24-38.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_10-25-08.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_10-25-38.mp4 → NAS ✓ 18K
rsync soundcore AeroClip (input)_2026-05-13_10-26-08.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_10-26-38.mp4 → NAS ✓ 13K
rsync soundcore AeroClip (input)_2026-05-13_10-27-08.mp4 → NAS ✓ 14K
rsync soundcore AeroClip (input)_2026-05-13_10-27-38.mp4 → NAS ✓ 71K
rsync soundcore AeroClip (input)_2026-05-13_10-28-08.mp4 → NAS ✓ 8.0K
rsync soundcore AeroClip (input)_2026-05-13_10-28-38.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_10-29-08.mp4 → NAS ✓ 8.0K
rsync soundcore AeroClip (input)_2026-05-13_10-29-38.mp4 → NAS ✓ 7.0K
rsync soundcore AeroClip (input)_2026-05-13_10-30-08.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_10-30-38.mp4 → NAS ✓ 36K
rsync soundcore AeroClip (input)_2026-05-13_10-31-08.mp4 → NAS ✓ 8.0K
rsync soundcore AeroClip (input)_2026-05-13_10-31-43.mp4 → NAS ✓ 7.0K
rsync soundcore AeroClip (input)_2026-05-13_10-32-15.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_10-32-45.mp4 → NAS ✓ 12K
rsync soundcore AeroClip (input)_2026-05-13_10-33-15.mp4 → NAS ✓ 6.0K
rsync soundcore AeroClip (input)_2026-05-13_10-33-45.mp4 → NAS ✓ 29K
rsync soundcore AeroClip (input)_2026-05-13_10-34-15.mp4 → NAS ✓ 17K
rsync soundcore AeroClip (input)_2026-05-13_10-34-45.mp4 → NAS ✓ 16K
rsync soundcore AeroClip (input)_2026-05-13_10-35-15.mp4 → NAS ✓ 13K
rsync soundcore AeroClip (input)_2026-05-13_10-35-45.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_10-36-15.mp4 → NAS ✓ 23K
rsync soundcore AeroClip (input)_2026-05-13_10-36-45.mp4 → NAS ✓ 70K
rsync soundcore AeroClip (input)_2026-05-13_10-37-15.mp4 → NAS ✓ 61K
rsync soundcore AeroClip (input)_2026-05-13_10-37-45.mp4 → NAS ✓ 86K
rsync soundcore AeroClip (input)_2026-05-13_10-38-15.mp4 → NAS ✓ 98K
rsync soundcore AeroClip (input)_2026-05-13_10-38-45.mp4 → NAS ✓ 49K
rsync soundcore AeroClip (input)_2026-05-13_10-39-15.mp4 → NAS ✓ 43K
rsync soundcore AeroClip (input)_2026-05-13_10-39-45.mp4 → NAS ✓ 43K
rsync soundcore AeroClip (input)_2026-05-13_10-40-15.mp4 → NAS ✓ 27K
rsync soundcore AeroClip (input)_2026-05-13_10-40-45.mp4 → NAS ✓ 69K
rsync soundcore AeroClip (input)_2026-05-13_10-41-15.mp4 → NAS ✓ 24K
rsync soundcore AeroClip (input)_2026-05-13_10-41-45.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_10-42-15.mp4 → NAS ✓ 10K
rsync soundcore AeroClip (input)_2026-05-13_10-42-45.mp4 → NAS ✓ 13K
rsync soundcore AeroClip (input)_2026-05-13_10-43-15.mp4 → NAS ✓ 9.0K
rsync soundcore AeroClip (input)_2026-05-13_10-43-45.mp4 → NAS ✓ 15K
rsync soundcore AeroClip (input)_2026-05-13_10-44-15.mp4 → NAS ✓ 8.0K
rsync soundcore AeroClip (input)_2026-05-13_10-44-54.mp4 → NAS ✓ 21K
rsync soundcore AeroClip (input)_2026-05-13_10-45-27.mp4 → NAS ✓ 7.0K
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rsync MacBook Pro Microphone (input)_2026-05-13_11-01-30.mp4 → NAS ✓ 193K
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rsync MacBook Pro Microphone (input)_2026-05-13_12-21-14.mp4 → NAS ✓ 211K
rsync MacBook Pro Microphone (input)_202...
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iTerm2
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ec2-user@ip-10-30-129-190:~
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NULL
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45864
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