From 5b84b0d427b34f5b9934c5572e76aba4a76ec8c3 Mon Sep 17 00:00:00 2001 From: matcha Date: Mon, 5 Oct 2026 20:21:29 +0000 Subject: [PATCH] Restore curated layer above deterministic GitHub radar --- template.html | 71 ++++++++++++++++++++++++++++++++++++--------------- 1 file changed, 51 insertions(+), 20 deletions(-) diff --git a/template.html b/template.html index 3b234be..5a7a91c 100644 --- a/template.html +++ b/template.html @@ -2,31 +2,62 @@ -notplanned radar - +notplanned +
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notplanned
deterministic opportunity radar
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rejected demand,
ranked.

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.

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__COUNT__candidates
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__REPOS__watched repos
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__THRESHOLD__minimum score
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__UPDATED__last run · UTC
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notplanned
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curatedraw radarradar.jsoncurated.json
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github scout.

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Two layers: a cheap deterministic radar that continuously searches GitHub for rejected demand, and a smaller curated list of plays worth thinking about harder.

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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.
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__CARDS__
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notplanned · deterministic radarrefreshes every 6h
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__COUNT__raw candidates
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__CURATED_COUNT__curated plays
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__REPOS__repos scanned
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__SEEDS__seed repos
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__DISCOVERED__discovered repos
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__UPDATED__last radar · UTC
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curated

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Promoted opportunities with an actual thesis and smallest next move. Static for now; no scheduled model job burning tokens.

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__CURATED_CARDS__
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raw deterministic radar

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No model judgment. Seed repos + deterministic GitHub repo discovery → rejected issues → explicit score → ranked candidates.

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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.
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__CARDS__
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