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Alrithm

Verified Reasoning Data API for AI Models & RLVR

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Alrithm streams verified reasoning data for AI training via an API. Most datasets use AI judges that hallucinate, leading to reward hacking. Alrithm stops this by using code execution to check data correctness and secures every row with a cryptographic SHA-256 Merkle Root. Built with Next.js and Supabase on Vercel, it provides clean, secure data trajectories to train reliable AI models.

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PH · launched Oct 21, 2026 · 1 upvote (top 67%)

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Could you build this?

Partial The API, storage, and Merkle-root hashing are easy to build, but the product's value depends on producing large volumes of genuinely verified reasoning data, which needs domain-specific verifiers and curation.

What it would actually take: Build a Next.js and database backend that serves rows with SHA-256 Merkle proofs and runs candidate solutions in sandboxed code executors for verification. The hard parts are writing reliable verifiers across many reasoning domains, sourcing and generating diverse problems, and proving the data actually improves RLVR training. That requires ML training expertise and a curation pipeline, plus compute for generating and checking solutions at scale.

Competitors

Other products that read as similar to this one : 225 launches clear the similarity bar, closest 8 shown.

Attention rank: #123 of 226 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 355 days after the earliest competitor.

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