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HeimWall
Catch secrets before they leak into Cursor & Claude
HeimWall catches leaked secrets, credentials, and PII the moment they're about to reach AI coding assistants like Cursor, Claude Code, and Copilot. A lightweight macOS app, fully on-device: 47 hand-written rules flag leaks in real time. Your prompts never leave your Mac. No content stored, no account, no signup. Free for individual engineers. Next up: a team dashboard showing security leads leak trends without exposing what anyone typed. Signal, not content. Design partners welcome.
Hey Product Hunt! Ata here, co-founder of HeimWall, launching this together with my co-founder Safak. We're two technical founders building HeimWall AI.
Every developer we know has pasted something into an AI tool and frozen for a second: wait, was there a key in that? Usually there was. When we ran our detection engine over DevGPT, a public corpus of 27,075 real developer prompts to ChatGPT, we found three live-format API keys and 49 real personal email addresses in a single weekly snapshot of conversations people chose to share publicly. The prompts nobody shares are the rest of the iceberg.
HeimWall catches that moment. It reads the composer of Cursor, Claude Code, Copilot and friends through the macOS Accessibility API and flags secrets, credentials and PII as you type or paste, before anything leaves your machine. 47 hand-written detection rules, benchmarked against public corpora (CredData, Gretel PII). Everything runs on your Mac. No account, no signup, your prompts are never uploaded.
A few honest notes, because that's how we try to operate:
• Detection is a deterministic rule engine, not a model. That's why the whole app is about 7 MB. An on-device semantic tier is on the roadmap.
• False positives exist. We published our full noise analysis on the blog, including the two rules we already know we need to tighten.
• The team side (a dashboard where security leads see leak trends without ever reading anyone's prompts) is next. We're onboarding design partners now.
We think of this as step one toward observability for the agentic workforce: protect the individual engineer first, then give teams the same signal without the surveillance.
macOS 13+, Apple Silicon. Try it, break it, tell us what it missed. Safak and I will be here all day, ask us anything.
About HeimWall on Product Hunt
“Catch secrets before they leak into Cursor & Claude”
HeimWall was submitted on Product Hunt and earned 41 upvotes and 37 comments, placing #12 on the daily leaderboard. HeimWall catches leaked secrets, credentials, and PII the moment they're about to reach AI coding assistants like Cursor, Claude Code, and Copilot. A lightweight macOS app, fully on-device: 47 hand-written rules flag leaks in real time. Your prompts never leave your Mac. No content stored, no account, no signup. Free for individual engineers. Next up: a team dashboard showing security leads leak trends without exposing what anyone typed. Signal, not content. Design partners welcome.
On the analytics side, HeimWall competes within Mac, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how HeimWall performed against the three products that launched closest to it on the same day.
Who hunted HeimWall?
HeimWall was hunted by Ata Cinar Genc. 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 HeimWall including community comment highlights and product details, visit the product overview.
Ata Cinar Genc