OpenRank

Start by deciding what “trust” means in your product, then turn it into data you can score. With OpenRank, you configure identities (wallets, usernames, emails, repo handles) and plug in the sources you care about—PRs merged, forum replies, fulfillment rates, verified attestations. Next, create a rule set: weights, caps, decay, and aggregation logic. Run the job and you receive signed results you can cache, stream to a feed, or check on the client before using them to sort content, gate features, or set spending limits. Because every input is referenced, anyone can inspect how a number was produced.

For editorial and community teams, build curation that reflects your values without hand-tuning every list. Map reviewer actions (approve, flag, endorse), quality signals (read time, citations, response quality), and contributor history into a single scorecard. Use it to auto-prioritize moderation queues, spotlight newcomers who meet clear milestones, or throttle visibility for low-confidence posts until more feedback arrives. Publish your rubric so creators know what to improve, and enable appeals by re-running the same recipe on updated evidence.

Developers can integrate in hours: subscribe to webhooks for new attestations, pull historical snapshots over an API, and push custom evaluators that emit their own signed statements (for example, test coverage over time or response SLA compliance). Stitch multiple evaluators into one pipeline and schedule it to run in real time or in batches. Store outputs on your preferred backend and use a tiny verifier in the browser or mobile app to check signatures before acting on a score. Simulate different weightings in a staging environment to understand side effects before rollout.

Use OpenRank to allocate budget and attention where it matters. In marketplaces, rank sellers by delivery reliability and dispute resolution quality, not just volume. In grants and governance, filter proposals by proven track records and let voting power reflect demonstrated contribution instead of raw tokens or loud voices. For growth, unlock feature access when users hit contribution thresholds, and reduce fraud by requiring diverse evidence from independent sources. Every score comes with an audit trail you can export to analytics, and privacy-preserving options let you prove you exceed a threshold without revealing every input.