CLUSTER AUTOMATICALLY-BAR-MENU · 6 ENTRIES · EARLIEST ENTRY 2026-08-14
Menu bar productivity trackers
This cluster consists of menu-bar applications that automatically track user activity to support productivity, such as logging work sessions, computing hours worked, or completing to-do items. The dated history is too thin to read a shape from—members predate the index or are undated. On traction, ambient-context leads with 172 stars, far ahead of peeko (3) and EquilibriumApp (2).
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 6 unlabelled
Operator · 3 hobby · 3 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 6 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01ambient-context172★1 mo—Desktop menu bar app that automatically records a written log of what the user worked on.
- 02peeko4★4 dayslivehobbyMenu bar app that watches computer activity and automatically ticks off to-do tasks when the user completes them.
- 03EquilibriumApp2★1 mo—hobbyMenu-bar app that automatically computes daily hours worked from a computer's sleep and wake activity, helping a user avoid overworking.
- 04Whats-Next2★4 dayslivehobbyMenu bar app that keeps one paper note per project showing where the user left off and the next step, advancing with a Done button.
- 05lessmouse3★7 days—Menu bar app that watches typing habits, identifies slow patterns, and teaches relevant keyboard shortcuts, running fully locally.
- 06dotto0★26 days—Mac menu bar app that automates repetitive chores in other applications by letting users describe a task and then replaying the steps in the background.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.