u/Legal-Tie-2121

I wrote a "know your recovery score" for a non athlete. Help testing
▲ 1 r/AppleWatch+1 crossposts

I wrote a "know your recovery score" for a non athlete. Help testing

I know this may sound as an app promotion but in reality I need advice for the community.

Every night, your watch measures heart rate, heart rate variability, respiration, and sleep quality. Data that often gets forgotten in the Health app.

Night Recovery turns it into a single number from 0 to 100. It doesn’t represent how you slept, but how your body recovers during the night.

You don’t need to be an athlete. No morning tests. No need to know what RMSSD means. Just sleep with your Apple Watch, the app does the rest.

Your score is personal: it doesn’t compare you to anyone else, it compares you to yourself over time.

A stressful week, a late dinner with wine, a night with a restless kid, it all shows up in your trend. Over time, you start noticing patterns you’d never catch on your own.

All local, no cloud, no telemetry. Just your collaboration during the testing phase.

https://testflight.apple.com/join/4DgwpWXx

If you own and wear a Whoop, Garmin, Oura, or any wearable that measures your overnight recovery. Please let me know how it compares.

I appreciate your help. I need to expand the base to know it works on different profiles.

u/Legal-Tie-2121 — 4 days ago

Managing multiple AI agents in the terminal is painful. Built a UI with agent awareness

If you're running multiple AI coding agents in parallel, you probably hit this:

they’re all just terminal processes with zero visibility.

You end up constantly context-switching to check:

- is this one stuck?

- is it waiting for input?

- did it finish already?

I built a tool to make this manageable.

Conceptually it's:

tmux + basic agent awareness + lightweight IDE features

Key parts:

- auto-detection of common agents (Claude Code, Aider, Codex, Gemini)

- runtime state tracking (running / waiting / idle)

- notifications when input is needed

- multi-pane + tabbed workflows

- works with local models (Ollama) and remote APIs

No cloud, no lock-in, just orchestration.

Curious how others here are handling multi-agent workflows today.

https://github.com/sstraus/tuicommander

reddit.com
u/Legal-Tie-2121 — 8 days ago