For founders

Being near the work isn't doing the work.

You're building, selling, hiring, and firefighting — and the day vanishes. Meetings and messages already took the hours. FocusMirror shows you whether the building hours that were left were actually deep, and one thing to protect tomorrow. It only ever sees your on-screen work.

The problem

The day got eaten. By what?

Founder days don't collapse in one dramatic block — they leak through standups, "quick" Slacks, dashboards you refresh, and the context-switch tax on every one. It all feels like progress, and you still can't say where the building went.

The fix isn't a harder week. It's visibility: seeing your real rhythm clearly enough to protect the few hours that actually move the product.

A build day, reflected

What the evening report looks like.

Daily report

Build day
Deep Work
3h 00m
Meeting
1h 30m
Communication
1h 00m
Admin
40m
Break
30m
Longest focus block
75 min · 9:05–10:20
Most fragmented hour
2–3 PM · 14 switches
Context switches
41
Tracked
6h 40m
What shipped
  • · Shipped the billing PR
  • · Customer interview — pricing objections
TomorrowProtect 9–11 AM for building — both of your longest blocks started before 10. Batch Slack after lunch.
What it felt like

I shipped all day.

What FocusMirror showed

Two real building blocks before 11 — then meetings and Slack diced the afternoon into fourteen switches an hour.

Example based on a common founder day — your own report is built from your own week.

What it surfaces

The building day, made visible.

  • How much of the day was actually deep building
  • Where the day fragmented — and what fragmented it
  • Your best window for hard problems
  • How much time went to messages vs. making
  • Whether the build hours matched your intent
  • One change to protect tomorrow
Who it's for

Anyone whose output depends on deep blocks.

Solo founders

Building, selling, and support all live in one person's day — and one calendar.

Technical co-founders

Deep work that a single standup or Slack thread can reset for twenty minutes.

Founders raising

Fundraising quietly eats the building weeks — see exactly how much.

Student-founders

Classes by day, building by night. The build hours have to be deep, not just late.

What the research says

Switching is the tax you can't feel.

Every switch between tasks carries a measurable cost — you're slower and more error-prone right after, and it adds up through frequency, not size.[source] Part of your attention also stays stuck on the task you just left, especially when it felt unfinished.[source] Interrupted work usually still gets done — you just pay for it in stress, not minutes.[source]

Seeing the switching is what lets you cut it. Tracking your own progress is associated with reaching goals more often.[source]

Read the full science of focus →

See whether the building hours counted.

Free to start, on your own Mac, with one honest reflection at the end of each day.

On Windows, or want product updates? Leave your email.

References
  1. 1.Rubinstein, Meyer & Evans (2001) — Task-switching costs Rubinstein, J.S., Meyer, D.E. & Evans, J.E. "Executive control of cognitive processes in task switching." Journal of Experimental Psychology: Human Perception and Performance, 27(4), 763–797.
  2. 2.Leroy (2009) — Attention residue Leroy, S. "Why is it so hard to do my work? The challenge of attention residue when switching between work tasks." Organizational Behavior and Human Decision Processes, 109(2), 168–181.
  3. 3.Mark, Gudith & Klocke (2008) — The cost of interrupted work Mark, G., Gudith, D. & Klocke, U. "The cost of interrupted work: more speed and stress." Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '08), 107–110.
  4. 4.Li, Dey & Forlizzi (2010) — Stage-based model of personal informatics Li, I., Dey, A. & Forlizzi, J. "A stage-based model of personal informatics systems." Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10), 557–566.
  5. 5.Matcha et al. (2020) — Learning-analytics dashboards review Matcha, W., Uzir, N.A., Gašević, D. & Pardo, A. "A systematic review of empirical studies on learning analytics dashboards: a self-regulated learning perspective." IEEE Transactions on Learning Technologies, 13(2), 226–245.
  6. 6.Harkin et al. (2016) — Monitoring goal progress Harkin, B., Webb, T.L., Chang, B.P.I., Prestwich, A., Conner, M., Kellar, I., Benn, Y. & Sheeran, P. "Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence." Psychological Bulletin, 142(2), 198–229.