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llmcode.fail - Learn from LLM failures — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Programming Languages →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
syntaxspirits.dev 62 match
3 shared topics
SyntaxSpirits - High-Quality Open Source Code Libraries | Rust, Ruby & More en artificial-intelligence robotsllmsaihumans emailphone partial · 8
krazedkrish.com 61 match
3 shared topics
Krazedkrish en programming-languagesSpree Commerce robotsllmsaihumans emailphone none
mediumexposure.com 60 match
3 shared topics
Max Chernyak en technology-and-computing robotsllmsaihumans emailphone none
getaudri.com 44 match
2 shared topics
AudRI — Audit Realtime Intelligence | Prevent Audit Failures en artificial-intelligence robotsllmsaihumans emailphone none
briefinggpt.com 43 match
2 shared topics
Header - Where Builders and Agents Learn Daily en technology-and-computing robotsllmsaihumans emailphone none
arkcodey.com 43 match
2 shared topics
Arkcodey en artificial-intelligenceReaction Commerce robotsllmsaihumans emailphone none
ntentional.com 43 match
2 shared topics
ntentional | Morgan McGuire’s machine learning journey through blogs and code en artificial-intelligence robotsllmsaihumans emailphone none
arkflow-rs.com 43 match
2 shared topics
Hello from ArkFlow | ArkFlow en technology-and-computing robotsllmsaihumans emailphone none
syncropic.com 43 match
2 shared topics
Syncropic | Infrastructure That Learns and Governs en artificial-intelligence robotsllmsaihumans emailphone none
nscoder-chicago.com 43 match
2 shared topics
NSCoder Chicago en programming-languages robotsllmsaihumans emailphone none
promptscore.dev 43 match
2 shared topics
PromptScore — Static analysis for LLM prompts en artificial-intelligence robotsllmsaihumans emailphone none
promptwho.ai 42 match
2 shared topics
GitHub - dk0d/promptwho: Promptwho is an LLM attribution harness built in Rust that tracks which conversations produced committed code and connects that history back to the codebase · GitHub en artificial-intelligence robotsllmsaihumans emailphone none
0tick.io 42 match
2 shared topics
Hello from 0tick.io | 0tick.io en technology-and-computing robotsllmsaihumans emailphone none
promptsuggestionmcp.com 42 match
2 shared topics
PromptSuggestion MCP | Smart Dislike for LLMs en artificial-intelligence robotsllmsaihumans emailphone none
propelvibes.com 42 match
2 shared topics
Propel Vibes - Ship Your App with Pro Developers en artificial-intelligence robotsllmsaihumans emailphone partial · 8
sedbosson.com 42 match
2 shared topics
Sed Bosson | Product Leader & Technical Builder en artificial-intelligence robotsllmsaihumans emailphone none
getaltimi.com 42 match
2 shared topics
Tech Acceleration Partner for Scalable Digital Products - Altimi en artificial-intelligence robotsllmsaihumans emailphone none
syns.mom 42 match
2 shared topics
Synaptic Swarm Protocol — From Commands to Emergence en artificial-intelligence robotsllmsaihumans emailphone none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.