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BuildPeek

Find Docker build-secret risks, without uploading your code

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Hunted byYuki HamadaYuki Hamada

Review Dockerfiles and image history for secret-like patterns locally in your browser. Get clear next steps, export an input-free report, and share a summary card. Free, no account. Built with GPT-6 Astra; no runtime AI calls.

Top comment

Hi Product Hunt, I'm Yuki. A recent discussion about credentials left in Docker build history made me stop and look at what a build can remember. Removing a file later doesn't necessarily remove it from an earlier layer. A secret mount also doesn't help if the command saves the secret into a config file. I built BuildPeek with GPT-6 Astra through Sente to make these patterns easier to spot before shipping. Paste a Dockerfile, Docker history, or image-config JSON. Eight local rules highlight patterns to review and explain the next step. Nothing you paste is uploaded to a model or server. The running app makes no AI calls. The Markdown report leaves out source text, file names and matched values. The share card only contains counts. It's free, with no account, in English and Japanese. This is a small heuristic review, not a full image scanner or a security certification. It does not inspect filesystem layers or check whether credentials work, and it can miss things. Try the synthetic example first. What build pattern should the next rule explain? Please share a sanitized example or rule ID, not a real secret.

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About BuildPeek on Product Hunt

Find Docker build-secret risks, without uploading your code

BuildPeek was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #79 on the daily leaderboard. Review Dockerfiles and image history for secret-like patterns locally in your browser. Get clear next steps, export an input-free report, and share a summary card. Free, no account. Built with GPT-6 Astra; no runtime AI calls.

BuildPeek was featured in Privacy (11.3k followers), Developer Tools (519.8k followers), GitHub (41.4k followers), Security (2.9k followers) and OpenAI Day (39 followers) on Product Hunt. Together, these topics include over 130.9k products, making this a competitive space to launch in.

Who hunted BuildPeek?

BuildPeek was hunted by Yuki Hamada. 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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