Social Score reads live public signals from GitHub, LinkedIn, portfolios, writing, talks, and press. Each signal is weighted by strength and combined into one 0 to 100 score with a plain English verdict. Every point is traceable to a source URL. Typical computation completes in under ninety seconds.
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Rook verifies that the person on each surface is the same person. Names, titles, dates, and visible artifacts are cross referenced. A resume that claims eight years at a company with no matching LinkedIn, portfolio, or public work will score lower — honestly — because the public web does not support the claim.
Not every signal is equal. A shipping record weighs more than a follower count. Recent work weighs more than dormant history. Deep work (a presentation, a paper, a merged pull request) weighs more than a passive mention.
The top three signals that moved the number are surfaced alongside the score, so recruiters can see which weight was doing the work.
Each score comes with a short, honest sentence. “Strong candidate, verified.” “Consistent shipping, but thin leadership.” “Resume and public signals disagree on timeline.” Plain English, no jargon.
Every score is a stack of public sources. Tap any one of them to see the page Rook read. No trust without the trail. This is why Social Score is a trust layer, not a judge.
Every score is computed live, not pulled from a cache. When a candidate adds a link or ships something new, the next open recomputes from scratch.