Measure how much of your code is AI-generated. Open source.
Measure how much of your code is AI-generated. Buildermark matches your coding agent diffs with commits to calculate how much is by agents. Open source. Runs natively on macOS, Windows, and Linux.
Developers and companies are claiming to have X% of their code written by AI, but most are just guessing and not actually measuring. Buildermark matches coding agent diffs with commits to calculate how much is by agents.
It also generates a convenient archive of all conversations from all of your agents, like Claude Code, Codex, Gemini, and Cursor.
Online Demo: Browse all 364 agent conversations that wrote 94% of Buildermark's code
“Measure how much of your code is AI-generated. Open source.”
Buildermark launched on Product Hunt on April 11th, 2026 and earned 90 upvotes and 6 comments, placing #13 on the daily leaderboard. Measure how much of your code is AI-generated. Buildermark matches your coding agent diffs with commits to calculate how much is by agents. Open source. Runs natively on macOS, Windows, and Linux.
On the analytics side, Buildermark competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Buildermark performed against the three products that launched closest to it on the same day.
Who hunted Buildermark?
Buildermark was hunted by David Cann. 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.
For a complete overview of Buildermark including community comment highlights and product details, visit the product overview.
David Cann
Developers and companies are claiming to have X% of their code written by AI, but most are just guessing and not actually measuring. Buildermark matches coding agent diffs with commits to calculate how much is by agents.
It also generates a convenient archive of all conversations from all of your agents, like Claude Code, Codex, Gemini, and Cursor.
Online Demo: Browse all 364 agent conversations that wrote 94% of Buildermark's code
https://demo.buildermark.dev/projects/u020uhEFtuWwPei6z6nbN