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© 2026 AI-Buzz. Early access — data updated daily.
Structured output extraction from LLMs
Founded by: Jason Liu
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Instructor with 20% positive developer sentiment (40 HN comments analyzed), with 3,675 npm downloads in 30 days, with 8,755,658 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/instructor?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
Structured output extraction from LLMs
Estimated Company Size
11 - 50 employees
Website
useinstructor.comFounded
2023
Description
Instructor is a Python library that simplifies obtaining reliable structured output from Large Language Models. It allows developers to define output schemas using Pydantic, automatically handling validation, retries, and error handling, thereby enhancing the robustness of LLM-powered applications.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Sentiment analysis of Hacker News comments only. Does not include Reddit, Discord, or other platforms.
Package download volume indicates real-world adoption and integration into production projects.
A Python library enabling developers to reliably extract structured data from LLMs using Pydantic for schema definition, validation, and automatic error handling.
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Package downloads and ecosystem metrics — 30-day window
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