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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
AI Time Tracker - Automatic Time Tracking & Daily Work Log
AI Time Tracker · 2026-06-21 · via Hacker News - Newest: "AI"

AI Worklogs That Reveal How You Work

Automatically log and journal your work. Track your time on projects and activities and get insights to improve your productivity and work habits with AI.

Have you ever wondered how much work you actually do during a typical workday? Or do you remember what did you done last week?Knowing these metrics can give you great feedback to improve your or your team's productivity and performance.

How It Analyses Your Workday

AI time tracker system works in the background to give you data about your workday.

Step 1

Define Your Context

Provide your project goals and specific objectives. The AI uses this to accurately categorise your work and deliver relevant insights.

Step 2

Background Monitoring

The app runs quietly in the background, capturing periodic screenshots to understand exactly how you're spending your time — no manual input needed.

Step 3

Local AI Analysis

A local LLM analyses your data directly on your device, extracts a structured work journal, and saves logs securely. Your data never leaves your Mac.

Ask Your Work Journal Logs Anything

Get instant insights from your work logs with natural language questions.

Features

Journal and optimise your work time with AI-powered automatic tracking.

Privacy with Local AI

All screen analysis happens locally on your machine using a local LLM (Qwen-3-VL:2b). Your sensitive data and screenshots leave your computer.

Detailed Task Detection

By watching your screen, the AI can detect what you are working. It can detect windows, file names, apps, and tasks you are working on.

Generate detailed daily logs automatically and export them to CSV. Perfect for client billing, internal reporting, or personal productivity analysis.

Provide project and your activity categories as context so the AI intelligently categorises your work and provides statistics reports based on your context.

Starts with your system so your workday is tracked from the first minute, and pauses automatically when your Mac sleeps so idle time is never counted as work.

"I wanted feedback on my productivity and work habits — I wasn't sure what was actually taking my time. Instead of marketing, consuming content and unnecessary activities kept stealing hours. So I built Didon. Now I can understand where my time goes."

Early Access Pricing

  • Lifetime access & updates
  • 1:1 dedicated support (if needed)
  • No extra AI model costs, uses local LLM (Qwen-3-VL:2b)
  • Install on one system only
  • Prompt for productivity and work habits insights
  • Unlimited CSV log exports
  • Smart context & activity categories
  • 100% money back guarantee (refund if not working)
  • Upcoming features (integrations, advanced reports, add notes, etc.)

One-time payment

€89€199

Pay once, own forever

Windows user? Create an account to join the waitlist for early access when it launches.

From the Blog

Tips on productivity, time tracking, and automated reporting

FAQ

Everything you need to know about Didon. If you have other questions, feel free to reach out.

Track Your Work & Journal Your Day with Automatic AI Time Tracking

Most people lose track of where their day goes. Didon is an AI-powered automatic time tracker for macOS that quietly runs in the background and turns your daily activity into a clear, structured work journal — without manual timers or constant check-ins.

Automatic Time Tracking

Traditional trackers rely on you remembering to hit start and stop. Didon observes what you're doing and logs time automatically — whether you're writing code, drafting a proposal, or working in a spreadsheet.

Context, Not Just App Names

Most tools tell you "3 hours in Chrome" — that's not useful. Didon uses lightweight AI analysis to understand what you're actually working on, then maps activity to your projects and goals.

Daily Summaries & Privacy

Didon generates clean daily reports and surfaces weekly trends — peak hours, productive days, and time drains. Everything runs on-device, so your screen activity never touches a server. If you want those insights to actually change your behavior, Didon's upcoming AI productivity coach will hold you accountable for acting on them.