How the HoodScan Score Works

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How the HoodScan Score Works

HoodScan Team

AuthorHoodScan Team

Every repository on the HoodScan leaderboard carries one number: the HoodScan Score. It combines four inputs: GitHub stars on a logarithmic scale, recent development activity, ecosystem tier, and community boosts. We scan 71 repositories built for or around Robinhood Chain, index the top 50, and mark 26 as tier-1 because they target the chain directly. This post explains each input and ends with a worked example: robinhood/faust, the current number one at 137.

Stars are log-scaled, activity is not

Raw star counts make a poor ranking signal on their own. A repository with 7,000 stars is not seventy times more useful than one with 100, so the score takes stars on a logarithmic curve. Each additional star is worth a little less than the one before it, which keeps large established projects from locking up the top of the board.

Activity measures whether a project is moving right now: commit frequency, recency of the last push, and release cadence. A repository that shipped code this week earns more here than a bigger project with a silent quarter. On a young chain most tooling is early, so recent work predicts value better than accumulated popularity.

That tradeoff is deliberate. Total stars reward age, activity rewards work, and when the two disagree the score leans toward work. A maintained SDK with 40 stars can out-rank an abandoned repository with 400, and that ordering matches what builders on Robinhood Chain actually reach for.

Ecosystem tiers: direct over adjacent

The third input is ecosystem tier. Robinhood Chain is Robinhood's L2, built on the Arbitrum Orbit stack and focused on tokenized stocks and real-world assets. Repositories built directly for the chain, 26 of the 50 indexed, sit in tier-1 and rank above adjacent tooling that merely works alongside it. A contract suite targeting Robinhood Chain specifically serves this audience better than a generic rollup library, and the score reflects that.

Tier operates within categories rather than across them. The index spans DeFi, Trading Bots, SDKs and Tools, RWA and Stocks, AI and Agents, and Chain Core, and no category gets a built-in advantage.

Boosts, and why farmed repos are filtered

The final input comes from readers. A Boost is a free +1 signal for any listed repository: one boost per repo per day, no wallet needed. Boosts are small next to stars and activity. They cannot carry a weak project to the top, but they break ties and show which repositories people are actually watching.

Manipulation in the other direction is handled at the gate. Repositories with farmed star patterns, sudden bot-driven spikes with no matching commit history, are filtered out of the index entirely instead of being down-weighted.

Worked example: robinhood/faust at 137

Here is how the current leader, robinhood/faust, arrives at its score of 137:

  • Stars: 6,824, log-scaled so the total contributes far less than face value
  • Activity: steady commits and regular releases
  • Tier: tier-1 in the Chain Core category, built directly for Robinhood Chain
  • Boosts: recurring daily community signals add the final points
  • Spam filter: passed
  • No single input dominates; the combination is what puts it first
  • Result: a HoodScan Score of 137, first out of 50 indexed repositories

Scores are recomputed as new data arrives, so rankings move. New projects enter through the Recently Listed feed before they build any history; recent arrivals include labrinyang/lp-terminal, krillintel/krill, and itsfriedpotato/potatopad. Early listing gives small repositories visibility while their activity signal accumulates.

The same math works in reverse. A repository that stops shipping loses its activity component and slides down the board no matter how many stars it holds. The leaderboard is built to answer one question: what is worth attention on Robinhood Chain today.

The full top 50 is live at hoodscan.space, and score changes are posted from @hoodscan_ on X.

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