This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
RepoLens is a CLI-based tool that turns your codebase into a single AI-ready package. It helps developers: * Analyze large codebases (currently supporting 9 programming languages) * Generate structured AI-ready context packs * Optimize token usage for LLMs * Preserve repository structure and relationships * Redact secrets (API keys, passwords, and other sensitive data) * Integrate seamlessly into developer workflows
Hi Product Hunt! I'm the creator of RepoLens.
I built RepoLens because I found that AI coding assistants are only as useful as the context we provide them. Large repositories can be difficult to explain, and manually assembling context for every prompt is time-consuming.
RepoLens analyzes your repository and generates structured, AI-ready context packs that help developers work more effectively with tools like ChatGPT and Claude.
I'd love to hear your feedback, feature ideas, and how you're currently handling AI context for your projects.
Thanks for checking it out!
Tried it on a messy Node project and the secret redaction actually caught a few API keys I'd forgotten were floating around in old config files. Token optimization is a nice touch too.
The secret redaction actually caught an API key in a test repo I forgot was there. Token optimization is a nice touch for fitting bigger codebases into context windows.
love the secret redaction angle, that's such a real pain point when feeding code to llms. one thing that would make this a no-brainer for me is a `--diff` flag that only packages changed files since the last commit, would save a ton of tokens during iterative debugging sessions.
Love the secret redaction feature, that alone makes it worth checking out. One thing I'd want to see is configurable output formats beyond the default context pack, like a markdown summary or JSON schema, so I can pipe results straight into different LLMs or docs without extra conversion steps.
The secret redaction feature caught me off guard in a good way, actually caught an old AWS key I forgot was in a config file. Token optimization makes feeding repos to Claude way less painful too.
About RepoLens on Product Hunt
“Turn repositories into AI-ready context packs.”
RepoLens was submitted on Product Hunt and earned 0 upvotes and 11 comments, placing #90 on the daily leaderboard. RepoLens is a CLI-based tool that turns your codebase into a single AI-ready package. It helps developers: * Analyze large codebases (currently supporting 9 programming languages) * Generate structured AI-ready context packs * Optimize token usage for LLMs * Preserve repository structure and relationships * Redact secrets (API keys, passwords, and other sensitive data) * Integrate seamlessly into developer workflows
RepoLens was featured in Developer Tools (516.3k followers), Artificial Intelligence (474.3k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 211.1k products, making this a competitive space to launch in.
Who hunted RepoLens?
RepoLens was hunted by Desta Legesse Wubishet. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Desta Legesse Wubishet