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About code-review-graph on Product Hunt
“The structural memory layer for AI code review.”
code-review-graph was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #73 on the daily leaderboard. Persistent local code graph for token-efficient AI code review through MCP and CLI. 8.2x avg context reduction, 30 MCP tools, local-first by default.
code-review-graph was featured in Open Source (68.5k followers), Artificial Intelligence (471.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 135.5k products, making this a competitive space to launch in.
Who hunted code-review-graph?
code-review-graph was hunted by Tirth Kanani. 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.
Want to see how code-review-graph stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tirth Kanani