Original Summary

Last season I built a pipeline to find r/NBA 's most hated player. This season I turned it into a site. 7.3M comments downloaded; the 2.1M that name one of 223 players classified by Claude Haiku through the Batch API, about $295 for the season Game threads lined up against the NBA's live play-by-play, so you can replay how the room moved on a player through a game Every number comes from a published data contract (Parquet + a generated schema); the site is static and fails its own build if the data moves out from under it Accuracy checked by hand on a blind random sample, with margins, on the site Solo build: Python + Polars for the pipeline, Astro + React on S3/CloudFront. It's a portfolio project: no ads, no signup, nothing for sale. courtsentiment.com github.com/oluobiri/nba-hate-tracker Happy to answer anything about the pipeline.   submitted by   /u/B1ackmamba99 [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/19 10:18:26