Episode Details

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 --- 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.