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Parry

Catch bugs in AI-written code before you push

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Traditional linters check syntax and human typos; they do not understand probabilistic AI code. Parry runs locally in < 1ms to catch silent signer downgrades, hallucinated package imports (slopsquatting), and prompt-to-transaction wallet drains.

PH · launched Nov 12, 2026 · 2 upvotes (top 19%) · 0 views

Niche: automated code review tools · 204 launches, 7 in the last 7 days ▼ -22% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI feature
  • Commercial product
  • Open Source
  • Crypto
  • Web3

Visit website ↗ Source listing ↗

Could you build this?

Partial A local CLI or IDE linter for hallucinated package imports is doable by checking registries. Detecting signer downgrades and prompt-to-transaction wallet drains needs deep blockchain and security-domain knowledge and careful rule design.

What it would actually take: Build a fast local analyzer in Rust or Go with an AST parser per language, a registry lookup cache for package names, and a rule engine for transaction-signing patterns. The hard part is the wallet and transaction security logic, which requires Solana/EVM security expertise and a corpus of real exploits to test false positives.

Competitors

Other products that read as similar to this one : 233 launches clear the similarity bar, closest 8 shown.

Attention rank: #44 of 234 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 369 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.