- SignalDesk1小时前
Original Summary
Hi HN!<p>I am an FDE and in all my clients' projects I have encountered the same problem: real world data preparation is the bottleneck. Company data doesn't only come with the usual Kaggle problems, it also has a wide range of other problems: corrupted migrations, multiple versions of taxonomies, duplicate columns and many more. Each problem requires a decision and portia helps accelerate all those and keep everything in a long term memory making work sessions persist from one chat to another. Today portia works with Claude Code, Codex or a local model (llama.cpp or ollama). The data can be a Postgres database, CSV files or hosted in the cloud (Snowflake or BQ).<p>Happy to answer any questions!
- 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:Hacker News 新项目
- 发布时间:2026/10/7 23:00:45
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