Newborn Newborn Swift SW
53
Yap latent-variable/Yap

Local-first two-way voice for your agents on macOS: TTS (mouth) + Parakeet STT (ears), fully on-device.

HEALTH 92 / Healthy
// solo builder// hidden gem// release machine ai-agentskokorolocal-firstmacosmenu-baron-deviceparakeetspeech-to-textswifttext-to-speech

// readme

https://github.com/user-attachments/assets/5b9b47f6-a25a-4489-8f23-fbfba03b5969

Yap

Talk to your Mac. It talks back. You both yap.

Your keyboard is slow and your eyes are slower. Give your Mac ears and a voice instead: hold a key and talk, your words type themselves; highlight anything and hear it out loud in a shockingly human voice. Fully local. No cloud, no account, nobody listening but you.

Install · The loop · What it does


You think faster than you type, and way faster than you read. So stop doing both. Yap gives your Mac two things it was missing: ears (hold a key, talk, and local Parakeet drops your words right where the cursor is) and a voice (highlight anything, tap a shortcut, hear it read back in a real Kokoro or Pocket voice). Until Neuralink wires you straight into your coding agent, this is the shortcut: quit typing at your computer, start yapping with it.

Install

The app bundles its own Python — nothing else to install.

① Homebrew — easiest, no Gatekeeper prompt.

brew install…
The Undervalued Score +

How much a project earns versus how much attention it actually gets. Above 50 means the work is outrunning its audience. Recomputed nightly from commit velocity, contributor effort, issue resolution, fork utility, release cadence, and project maturity — divided by a logarithmic reach factor.

score  = signal / reach

signal = 0.25·commit_velocity   // commits in last 90 days (cap 30)
       + 0.20·contributor_work  // unique authors × velocity (cap 100)
       + 0.20·issue_resolution  // closed ÷ total issues
       + 0.20·fork_ratio        // forks ÷ stars (proxy for real usage)
       + 0.10·release_cadence   // releases in 90 days (cap 3)
       + age_bonus              // +0 to +0.30 after 6 months
       + homepage_bonus         // +0.05 if homepage is set

reach  = log₁₀(stars + watchers + 10)
The Health Score +

Is the project alive and maintained right now? A 0–100 pulse recomputed nightly from commit recency, rhythm, how fast issues close, and how quickly PRs get merged.

health = 0.35·recency       // days since last commit (90d decay)
       + 0.25·cadence       // commit rhythm consistency
       + 0.20·issue_health  // closed ÷ total issues
       + 0.20·pr_health     // merged ÷ total PRs
Health bands +

The colour and label on every card come straight from the health score.

Healthy   80 – 100   active, responsive, regular releases
Stable    60 – 79    maintained, steady, no alarms
Quiet     40 – 59    slowing down — watch this one
At Risk    0 – 39    going dark · candidate for rescue
// Tags — what each label means +

Tags are independent behavioral signals computed nightly. A project can hold multiple at once. They drive the home page sections.

solo_builder      one person holds > 80% of commits (last 180d)
needs_contributors has open "help wanted" or "good first issue" labels
hidden_gem        < 100 stars · active in last 3 months · documented
legacy_hero       repo > 5 years old · committed this year
fork_magnet       forks/stars > 0.5 · used as template or dependency
release_machine   5+ releases in the last 90 days
under_pressure    > 10 open issues · ≤ 2 contributors · health ≥ 60
community_watch   watchers > stars · devs tracking before the public
community_hub     GitHub Discussions enabled · > 20 discussions
funded            maintainer has active funding channel
Why rank against stars at all? +

Stars are an outcome, not effort. A project with 8 stars and daily commits is doing more interesting work than one coasting on 8k. We measure the building, then divide by the attention already received — so the genuinely undervalued rise to the top.

// stars   = lagging indicator
// commits = leading indicator
// we rank by the leading one