Newborn Newborn Scala SC
54
promovolve promovolve/promovolve

Promovolve is an attempt to get back what magazine advertising had!

HEALTH 95 / Healthy
// help wanted// hidden gem adnetworkadtechiab-standardslarge-language-models

// readme

Promovolve is an attempt to get back what magazine advertising had: relevant ads matched to what the reader is actually reading, with no cookies, no user profiles, no cross-site tracking, and no degradation of the reading experience. The page’s content is the only targeting signal — an article about hiking gets ads for hiking gear because of what it is, not because of who is reading it.

Being open source is not incidental: transparency is the product. Publishers and advertisers can read the auction, the pricing, and the pacing logic and verify there is no hidden manipulation — something no closed ad network can offer. For the guided version, read the Promovolve book — 13 short chapters on why the system is built the way it is.

Demo

How it works

  1. A publisher adds two lines of HTML — a script tag and a <div> per ad slot. No SDK, no ad server account, no JavaScript to write.
  2. Pages are classified on demand from real traffic: an LLM maps the page’s text into IAB content categories the first time it serves.
  3. Auctions run periodically per site, not on every…
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