Pi Labs – AI scoring and optimization tools for software engineers
Hey HN, after years building some of the core AI and NLU systems in Google Search, we decided to leave and build outside. Our goal was to put the advanced ML and DS techniques we’ve been using in the hands of all software engineers, so that everyone can build AI and Search apps at the same level of performance and sophistication as the big labs. This was a hard technical challenge but we were very inspired by the MVC architecture for Web development. The intuition there was that when a data model changes, its view would get auto-updated. We built a similar architecture for AI. On one side is…
Pi Labs – AI scoring and optimization tools for software engineers launched on March 14, 2025 with 25 votes, #729 of 7,215 launches that month and more than 90% of that year's launches.
In plain words
Pi Labs provides AI scoring and optimization tools designed for software engineers. The platform lets developers build AI and search applications using advanced machine learning techniques previously available primarily to large tech companies. It features a scoring system that defines application quality metrics paired with optimizers that automatically improve performance through prompt optimization, data filtering, synthetic data generation, and other techniques. The system is inspired by web development architecture, automatically updating optimization when underlying models change.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN, after years building some of the core AI and NLU systems in Google Search, we decided to leave and build outside. Our goal was to put the advanced ML and DS techniques we’ve been using in the hands of all software engineers, so that everyone can build AI and Search apps at the same level of performance and…
Does a similar job
all alternatives →- PCPi Co-pilot – Evaluation of AI apps made easy2025 · withpi.ai · ▲34
Hey HN — 2 months ago we shared our first product with the HN community (https://news.ycombinator.com/item?id=43362535). Despite receiving lots of traffic from HN, we didn’t see any traction or retention. One of our major takeaways was that our product was too complicated. So we’ve spent the last 2 months iterating towards a much more focused product that tries to do just one thing really well. Today, we’d like to share our second launch with HN. Our original idea was to help software engineers build high-quality LLM applications by integrating their domain knowledge into a…
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