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KillSwitch

a programming language designed to be difficult for LLMs

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HN · launched Sep 19, 2026 · 10 upvotes (top 41%) · 0 views

Niche: programming languages and interpreters · 161 launches, 3 in the last 7 days ▼ -67% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • Not AI
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial While an interpreter or compiler for an esoteric language is straightforward to vibe-code, designing a genuinely novel language grammar and semantics that consistently defeat LLM reasoning requires specialized programming language theory and adversarial benchmark research.

What it would actually take: The architecture comprises a custom language grammar, parser (e.g., in Rust or Python using Lark/tree-sitter), and stack/state-machine runtime. The difficult part is the formal language design: inventing non-standard evaluation orders, context-sensitive grammar quirks, or semantic traps specifically tuned to exploit LLM tokenization and transformer attention limitations, verified through extensive benchmarking suites against modern frontier models.

Discussion

2 comments analyzed.

Competitors

Other products that read as similar to this one : 3210 launches clear the similarity bar, closest 8 shown.

Attention rank: #1310 of 3211 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 324 days after the earliest competitor.

  • B-IR · hn · 2026-01-12 · 62 upvotes · similarity 0.71
  • Tokensift, an open-sourced token-efficiency linter for LLM prompts · hn · 2026-08-29 · 6 upvotes · similarity 0.68
  • probably · github · 2026-09-19 · 11 upvotes · similarity 0.67
  • Crespo · hn · 2026-06-22 · 14 upvotes · similarity 0.66
  • jevals · hn · 2026-09-20 · 47 upvotes · similarity 0.66
  • rizzo-flow · github · 2026-09-21 · 455 upvotes · similarity 0.66
  • litjev · github · 2026-09-17 · 36 upvotes · similarity 0.65
  • jevify · github · 2026-09-19 · 35 upvotes · similarity 0.63

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