transcript
show notes
After eight episodes building a custom instrument to detect rallies, Joey discovers someone's GitHub repo (SetOptics) that outperforms the project by an order of magnitude—for $1. The hosts walk through the metrics, examine why finding existing solutions beats building from scratch, and explore what it means when your expensive solution loses to a stranger's sliding window pipeline.
00:00 - The Discovery: How one dollar beat the flagship
02:30 - Enter SetOptics: Gemini's video-native pipeline
05:00 - The Metrics Showdown: 95% vs 93% found, 3 vs 29 junk windows
08:00 - Precision, hallucinations, and the margin that matters
12:00 - The emotional response: When you lose beautifully
18:00 - Outro
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Sources & further reading:
• game-senser-fable repo — docs/retrospectives/2026-08-23-setoptics-lesson.md
• (the head-to-head numbers, the self-correction, the five reasons, the image-only blind
• spot)
• game-senser-fable repo — docs/retrospectives/2026-08-23-detection-is-solved.md (the
• four-measurement table, FOUND saturation, the junk column, Joey's 100% definition, v8's
• failed exam, process notes)
• game-senser-fable repo — JOURNAL.md, entries 2026-08-23 (overnight v9.1 loop) and
• 2026-08-24 ×2 (Joey's rulings; the gold-note split)
• game-senser-fable repo — docs/touch-arc/v91/RUN-1-MODEL-MIGRATION.md (517318 migration
• table, every-axis-improved)
• game-senser-fable repo — docs/touch-arc/API-INSTRUMENT-EXAM-AMENDMENT.md
This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.