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Meeba Brain

AI code debugging with evidence, not guesses

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AI can give a plausible debugging answer without proving it. Meeba Brain traces your codebase and dependencies, then shows the evidence behind each conclusion — separating Verified, Inferred, and Unknown.

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PH · launched Oct 14, 2026 · 4 upvotes (top 7%)

Similar launches

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Could you build this?

Partial The evidence-labeling UI and LLM wrapper are buildable. Reliable cross-file and cross-service dependency tracing across real codebases needs static-analysis work that a vibe-coded prototype will not match.

What it would actually take: Use tree-sitter or language servers to parse repositories, then build a call and dependency graph with symbol resolution, and feed the graph to an LLM that must cite the nodes behind each claim. Classify each conclusion as Verified, Inferred, or Unknown based on graph evidence. The hard parts are accurate cross-language resolution and dynamic-dispatch handling, which require compiler and static-analysis expertise.

Competitors

Other products that read as similar to this one : 355 launches clear the similarity bar, closest 8 shown.

Attention rank: #27 of 356 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 333 days after the earliest competitor.

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