Stretto

Stretto: time, tightened. A local time, focus and efficiency tracker that finds where your day was lost and uses Meta's Muse models to turn measured findings into a few concrete changes, ranked by the most time won back for the least effort. You can also just talk to it. THE PROBLEM, KNOWN FIRSTHAND. I run a studio, consult as a full-stack IT engineer and operate my own three-server cluster with fleets of agents on top. I can prove what my storage did at 3 a.m., but not what I did all day. My time leaks the way everyone's does: switching between clients and systems, re-finding what I already knew, waiting on people and builds, reconstructing what I did when it is time to bill. Most people cannot picture how much time they lose, so the truth about their work is set by how it feels, not by what is measured. Ten minutes a day compounds to about a full work week every year. WHAT IT DOES TODAY - Finds where the day went: a device agent records the front app, idle time and pointer activity (never keystrokes, screenshots or audio) and imports browser history read-only, after you accept a consent notice. Stretto turns that into focus blocks, switches, detours and repeated routes. - Talk to it: "I was in meetings for forty minutes." "Start a focus timer." "What's my leak score?" Common commands are answered locally with no model call, under a 100 ms budget checked in CI. Open questions go to Muse Spark, which calls tools against your own ledger and answers out loud. - Shows what the leaks compound to: minutes lost per day to switching, waiting, re-finding and admin, compounded over a week, month, year and decade, with a leak score, XP and levels for time won back, and a forecast of the path you are choosing. - Ranks the fixes: every suggestion carries its time won back and its cost to adopt. Muse Spark's suggestions must cite a real measured finding; Muse Wonder plans the order of your tasks. PRIVACY AND TRUST Everything is recorded on your own computer. Sensors are default-deny per source behind a recorded consent notice you can revoke. All model traffic goes through one loopback gateway that only calls api.meta.ai and only serves registered Meta models. Replies are checked before they are shown, labelled inferred, spend-capped and written to a hash-chained call ledger. It gives no medical or mental-health advice. WHAT IS REAL, AND WHAT IS NOT The demo day is generated data and is labelled Simulated everywhere it appears. Verified on macOS (server, tests) and Windows 10 (agent probe); Linux by unit tests only. Not built yet: some importers, a Wayland collector and TLS for remote mode. DISCLOSURE A small groundwork layer (harness, telemetry, sampler) was authored Oct 26, before the building period. Stretto, its Humanflow backend and everything else were built from Oct 27. Most code was written with Claude Code, directed and reviewed by me; three runtime parts were written with Meta's Muse Code. Licensed Apache-2.0.