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Unblurry – Your memory lies about how you work

Unblurry – Your memory lies about how you work

by ImaneIdrissi·Mar 5, 2026·2 points·0 comments

AI Analysis

●●●BangerSolve My ProblemNiche GemCozy

Window tracking + AI behavioral analysis beats mood guessing, stays completely local.

Strengths
  • Privacy-first architecture: no server, no account, data lives in local SQLite only.
  • Smart intent validation: AI asks clarifying questions upfront so goals are measurable.
  • Feeling logs add emotional context that most productivity trackers completely ignore.
Weaknesses
  • macOS only—Windows and Linux users locked out entirely right now.
  • Depends on user bringing own Gemini API key, adding friction vs. integrated billing.
Category
Target Audience

Knowledge workers, reflective professionals, productivity-focused individuals

Similar To

RescueTime · Toggl Track · Timing (macOS)

Post Description

I built a private desktop app that shows you what you actually did during a work session, whether it matched your intent, and the behavioral patterns behind how you worked. I used to reflect on my work from memory, but memory is unreliable. I'd think I spent an hour on a task when half of it actually went to jumping between tabs, checking messages, and re-reading the same pages. I'd tell myself the reason was that I was tired, when in reality the task just wasn't clearly defined yet. How it works: you set your intent before a work session. The app silently tracks your window activity (no screenshots). You can log how you're feeling at any point, on your own terms, no notifications, no interruptions. When you're done, AI generates a behavioral report ,not just what you did, but why you worked the way you did, with actionable suggestions to improve next time. Privacy was non-negotiable. Your data never leaves your machine. Everything is stored locally in SQLite. No servers, no accounts, no cloud. The only external calls are to Google Gemini to check your intent for clarity and to generate your report. It receives your intent, window titles, app names, and feeling logs. No file contents, no screenshots. Built with Electron, React, TypeScript, SQLite, and Google Gemini.Free on macOS. I'd love your feedback.

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