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manaflow-ai/cmux

Open source Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents. Built for multitasking, organization, and programmability.

SwiftsurgingLive GitHub sample
View JSON View on GitHub

Current momentum

89capped sample

Stars

28.3K

+93 since sync

Commits

100

in period

Active contributors

20

+0%

Issues closed

1

83.1h avg. resolution

Recorded trajectory

Movement you can verify over time.

Loading daily momentum history.

Behind the number

A score you can inspect.

Each signal contributes points to the total. These are capped GitHub samples, not complete activity counts or proof of adoption.

Development activity40.0 / 40 pts

100 commits · 85 opened PRs · 1 closed issues in 7 days

24 + 22 × ln(1 + weekly weighted activity). Activity = commits + 2 × opened PRs + closed issues. Signal bounded to 0–100, then weighted 40%.

Contributor breadth25.0 / 25 pts

20 sampled contributors in 7 days · 0% contributor-growth input

24 + 25 × ln(1 + contributors × √(7 / days)) + 0.15 × growth. Growth uses the 30-day windows; capped samples use a neutral 0 input. Signal bounded to 0–100, then weighted 25%.

Issue resolution9.5 / 20 pts

83.1 hours resolution input

105 − 9 × log₂(1 + hours). Uses sampled closed issues, not first-response time. With no resolved issues, the model uses 168 hours. Signal bounded to 0–100, then weighted 20%.

Release cadence15.0 / 15 pts

1 days cadence input

105 − 5 × cadence days. With fewer than two published releases, the model uses time since the last push as a proxy. Signal bounded to 0–100, then weighted 15%.

Weighted total · rounded once89 / 100

What changed in the recorded sample?

Loading recorded observations…

2.5K forks

Downstream adoption

3.4K open issues

Community demand

1 day cadence

Shipping consistency