Classifier scores 100 YouTube videos for sales intent in 12 seconds for $0.02
damianplayer · x · 2026-09-18
A developer used the Jev model to classify a YouTuber's last 100 videos by how likely each is to sell something: the full analysis with a sales-intent score per video took 12 seconds and cost about $0.02.
The author admits the score's accuracy hasn't been deeply validated yet, but a quick check suggests it's a promising classifier for spotting content marketing and soft ads.
Related event: Jev Model Scores 100 Videos for Sales Intent in 12 Seconds for 2 Cents(2 posts)→
More from Models
- ChatGPT co-inventor launches Jev, claiming 200x faster, 400x cheaper frontier model — multiply_matrix · 2026-09-18
- Tencent's Hy4 Preview ranks #4 among open-weight models, cheapest in top ten — mariofilhoml · 2026-09-18
- Simple letter-counting test exposes huge gap: GPT-6-Astra hits 93%, Fable 5.1 flounders — scaling01 · 2026-09-18
- Jev, a 'System One' model by Typesafe, launches on OpenRouter with typed decisions instead of text — majidmanzarpour · 2026-09-18
- Zhipu claims AI autonomously discovered a WeWorm-exploitable vulnerability — teortaxesTex · 2026-09-18
- User comparison: Gemini nailed an insurance-law question that ChatGPT defended with circular reasoning — Hatrct · 2026-09-18