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).
AST-based scanner that detects 48 security & vibe-coding patterns across 9 languages. Vibe-coding patterns (unique to AINAScan): • MISSING_WRITE — save_user() with no actual DB write • FAKE_ASYNC — async def with no await • STUB_SKELETON — functions that just return {} Add to GitHub CI in 3 lines. Free key: vg_free_test Topics: Developer Tools, Security, Open Source
Hey PH! 👋
I built AINAScan after scanning a few popular vibe-coded repos and finding critical security bugs in every single one — bugs that passed code review undetected.
The pattern was always the same: AI writes save_user() that returns {"status": "saved"} with no actual database write. Or async def fetch() with no await. Standard linters don't catch these because they're structurally valid code — just completely broken logic.
So I built a deterministic AST scanner with 15 patterns specific to AI-generated code. No LLM, no hallucinations — same code always gives the same result.
Try it free right now:
curl -X POST https://pleasing-transformation-... \
-H "X-API-Key: vg_free_test" \
-F "file=@your_file.py"
Or add it to GitHub CI in 3 lines → Moonsehwan/aina-vibeguard-action (https://github.com/Moonsehwan/ai...)
Would love to hear what vibe-coding bugs you're seeing in the wild. 🙏
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About AINAScan on Product Hunt
“Security scanner that catches what LLMs miss”
AINAScan was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #49 on the daily leaderboard. AST-based scanner that detects 48 security & vibe-coding patterns across 9 languages. Vibe-coding patterns (unique to AINAScan): • MISSING_WRITE — save_user() with no actual DB write • FAKE_ASYNC — async def with no await • STUB_SKELETON — functions that just return {} Add to GitHub CI in 3 lines. Free key: vg_free_test Topics: Developer Tools, Security, Open Source
AINAScan was featured in Open Source (68.6k followers), Developer Tools (515.4k followers), GitHub (41.3k followers) and Security (2.7k followers) on Product Hunt. Together, these topics include over 117.8k products, making this a competitive space to launch in.
Who hunted AINAScan?
AINAScan was hunted by Aina_scan. 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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