Stargazers Reloaded – LLM-Powered Analyses of Your GitHub Community
Hey friends! We have built an app for getting insights about your favorite GitHub community using large language models. The app uses LLMs to analyze the GitHub profiles of users who have starred the repository, capturing key details like the topics they are interested in. It takes screenshots of the stargazer's GitHub webpage, extracts text using an OCR model, and extracts insights embedded in the extracted text using LLMs. This app is inspired by the “original” Stargazers app written by Spencer Kimball (CEO of CockroachDB). While the original app exclusively used the GitHub API, this…
Stargazers Reloaded – LLM-Powered Analyses of Your GitHub Community launched on September 30, 2023 with 20 votes, #1,380 of 4,228 launches that month and more than 75% of that year's launches.
In plain words
Stargazers Reloaded analyzes GitHub repository stargazers using large language models and OCR technology. It examines stargazer profiles by taking screenshots of their GitHub pages, extracting text, and using LLMs to identify interests and skills. The tool captures details like programming language proficiency and topic interests that the GitHub API alone cannot access. It is designed for GitHub community managers and repository maintainers who want to understand who is following their projects and what skills or interests those users have.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey friends! We have built an app for getting insights about your favorite GitHub community using large language models. The app uses LLMs to analyze the GitHub profiles of users who have starred the repository, capturing key details like the topics they are interested in. It takes screenshots of the stargazer's…
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Source: Show HN post ↗ · launch text quoted in part
