DoneThat

Productivity Coaching

Meet Don, your AI coach. He turns work patterns into coaching you can actually use. Better decisions come from signal, not vibes.

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Why most systems fail

  • Manual tracking, tags, and journals: more admin than the habit usually survives.
  • Lots of data, little insight: exports and spreadsheets that sit half reviewed.
  • No feedback in the moment: drift shows up after the week is already gone.

DoneThat is easy

  • DoneThat reconstructs work in the background: no timers, no manual logging, no end of week guesswork.
  • Don surfaces patterns from your real work so you skip raw-log analysis.
  • Don nudges you when you drift off goals, while you can still fix it.

DoneThat goes beyond pure time tracking for coaching

Optional social accountability: share progress when you want extra nudge, or keep coaching completely private.

DoneThat goals tracking screenshot

Goals that follow the way you actually work

Set input goals around where time should go, then compare them against the real week instead of relying on memory or guilt.

DoneThat mood tracking and pattern detection screenshot

Mood and patterns, not just raw logs

Quick mood check-ins sit next to your time data so pattern detection is not only about hours and apps. Don can relate how the week felt to where time went, which makes coaching about energy and focus, not just counting blocks on a timeline.

DoneThat social sharing and optional visibility screenshot

Optional social accountability

The Hawthorne effect is the simple idea that people behave differently when work is visible. DoneThat uses that for light accountability: share summaries with followers or your team when you want the nudge, or stay fully private. A public profile is optional too.

Meet Don, your coach

Time tracking for productivity used to be a drag. You had to manually track, analyze the insights, set goals, track some more. Nobody did it. Now you have Don.

  • Analzyes your work in real-time and intervenes when you go off track.
  • Reviews your day and week and helps you set ambitious but realistic goals.
  • Judges you. Or celebrates you. You choose which character works best for you.

Ideas Behind Productivity Coaching

Some of the references that shaped how I think about reconstructing time, meaningful categorization, and why the signal has to come from actual work traces.

First Round Review

Time categorization

Sam Corcos tracked time in fifteen-minute increments for years. DoneThat automates the same kind of reconstructive discipline without turning it into a manual habit.

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Lenny's Podcast

Time tracking

Rahul Vohra makes the case that the real signal comes from tracing work, not from pretending calendars or memory are enough. That logic is core to DoneThat.

Read more

Ready to stay in the flow?

Don spots patterns in your real week and nudges you while you can still adjust. It stays light so you're not running another system on top of your day.

Explore related pages

Timesheets

Fully automated timesheets from real work: no timers, no manual logging, no end-of-week guessing with DoneThat.

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Long-term AI memory

Use DoneThat with MCP to give your AI long-term memory over your captured work history without manual status updates.

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Consulting

Founder-led AI consulting on productivity systems, operating design, AI adoption, and workflow improvement.

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Frequently Asked Questions

DoneThat is an automated work tracker and coaching product. It reconstructs your work from activity on your device, turns that into summaries and structured history, and uses that history for review, reporting, and coaching.
You can use DoneThat free for 30 days without a credit card. The trial includes the full product, and we send a reminder before it ends.
DoneThat can help you spot overload earlier by showing work patterns over time, including focus distribution and optional mood tracking. That gives you something concrete to review before overwork turns into a norm.
DoneThat can support focus by making the day visible after the fact: summaries, goals, and pattern detection show where attention drifted and what changed. It is a support tool, not a medical treatment.
Timer-based trackers depend on you remembering to start, stop, and label work. DoneThat reconstructs work automatically from what you actually did, then turns it into summaries and structured history you can review.
Don focuses on work patterns that show up in your history: where attention drifts, where overhead accumulates, where burnout risk appears, and which habits are worth changing next.