Restore curated layer above deterministic GitHub radar
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<html lang="en">
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<head>
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<meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1">
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<title>notplanned radar</title>
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<meta name="description" content="Deterministic radar for rejected demand in active open-source projects.">
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<title>notplanned</title>
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<meta name="description" content="Deterministic GitHub scout for rejected demand, plus a curated opportunity layer.">
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<style>
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</style>
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</head>
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<body><div class="wrap">
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<header><div class="brand">notplanned</div><div class="tiny">deterministic opportunity radar</div></header>
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<section class="hero"><h1>rejected demand,<br>ranked.</h1><p class="dek">No agent in the loop. GitHub issues go in; explicit rules score rejection, recency, engagement, repository activity, and externalizability; the highest-scoring candidates come out.</p></section>
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<section class="stats">
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<div class="stat"><strong>__COUNT__</strong><span>candidates</span></div>
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<div class="stat"><strong>__REPOS__</strong><span>watched repos</span></div>
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<div class="stat"><strong>__THRESHOLD__</strong><span>minimum score</span></div>
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<div class="stat"><strong>__UPDATED__</strong><span>last run · UTC</span></div>
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<header>
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<div class="brand">notplanned</div>
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<div class="nav"><a href="#curated">curated</a><a href="#radar">raw radar</a><a href="/radar.json">radar.json</a><a href="/curated.json">curated.json</a></div>
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</header>
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<section class="hero">
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<h1>github scout.</h1>
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<p class="dek">Two layers: a cheap deterministic radar that continuously searches GitHub for rejected demand, and a smaller curated list of plays worth thinking about harder.</p>
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</section>
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<div class="note">The score is intentionally mechanical, not “AI judgment.” It is a radar, not an oracle. Clicking a card goes to the source issue; the suggested product shape is selected by fixed keyword rules.</div>
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<section class="grid">__CARDS__</section>
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<footer><span>notplanned · deterministic radar</span><span>refreshes every 6h</span></footer>
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<section class="stats">
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<div class="stat"><strong>__COUNT__</strong><span>raw candidates</span></div>
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<div class="stat"><strong>__CURATED_COUNT__</strong><span>curated plays</span></div>
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<div class="stat"><strong>__REPOS__</strong><span>repos scanned</span></div>
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<div class="stat"><strong>__SEEDS__</strong><span>seed repos</span></div>
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<div class="stat"><strong>__DISCOVERED__</strong><span>discovered repos</span></div>
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<div class="stat"><strong>__UPDATED__</strong><span>last radar · UTC</span></div>
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</section>
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<section id="curated">
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<div class="section-head">
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<h2>curated</h2>
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<p>Promoted opportunities with an actual thesis and smallest next move. Static for now; no scheduled model job burning tokens.</p>
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</div>
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<div class="curated">__CURATED_CARDS__</div>
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</section>
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<section id="radar">
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<div class="section-head">
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<h2>raw deterministic radar</h2>
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<p>No model judgment. Seed repos + deterministic GitHub repo discovery → rejected issues → explicit score → ranked candidates.</p>
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</div>
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<div class="note">Minimum score: __THRESHOLD__. Score = rejection + recency + engagement + externalizability + repository activity/scale/issue surface. Repos are either permanent seeds or discovered from fixed GitHub search queries. Same inputs, same ranking.</div>
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<div class="grid">__CARDS__</div>
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</section>
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<footer><span>notplanned · gitHub scout</span><span>deterministic radar refreshes every 6h · curation only when asked</span></footer>
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</div></body></html>
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