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Qoory uses several ranking systems for different questions. A score is a derived ordering signal, not a price target, risk rating, or investment recommendation.

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Project ranking score

The general project score is designed to surface established, relevant, and actively maintained projects. It combines log-scaled signals so one extreme number cannot dominate the entire ranking. Signal families include:
  • Market presence, such as market-cap rank, watchlists, TVL, and TVL momentum.
  • Adoption and community, such as public social and GitHub activity.
  • Legitimacy and relationships, such as funding and investor coverage.
  • Recent activity, such as news, timeline events, hiring, search engagement, and outbound research interest.
  • Website and documentation signals.
Recent engagement signals require activity from multiple users before they can boost a project. The final score applies a freshness multiplier so stale records lose influence over time.

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Hot score and tiers

The hot score is a separate short-window momentum signal. It emphasizes recent smart-money positions, X mentions, news, TVL movement, GitHub activity, and the age of the discovered project. Newer projects can receive an age multiplier so early momentum is not drowned out by older projects with larger histories. Qoory maps the result to labels such as viral, hot, rising, early, and watch. Tier thresholds require both a score and, for some tiers, enough independent signals to be firing.

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Curated discovery

Trending lists, fund rankings, stock rankings, market movers, and heatmaps use purpose-specific inputs and bounds. They are not necessarily sorted by the general project score or hot score.

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Known limitations

  • Coverage varies across entities and signal families.
  • A missing signal can mean unavailable data, not poor performance.
  • Social and engagement signals can be noisy despite spam-resistance gates.
  • Scores can change when source coverage, weights, freshness, or methodology changes.