Lee HeeJun's profile on Product Hunt

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Solo founder building AURORA, a cryptographic evidence layer for AI decision records. Interested in applied cryptography, auditability, RFC 3161 timestamps, public verification, and B2B SaaS.

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AURORAVerifiable evidence for consequential AI decisions

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Joined Product HuntJune 12th, 2026

Forums

p/aurora-19

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3mo ago

If your AI made a bad call last month, what could you actually show?

Genuine question for anyone running AI in production.

Say a model made a decision approved something, flagged something, scored someone and weeks later it gets challenged. A customer disputes it, or a regulator asks, or legal wants the record.

What do you actually have? A log you could've edited? A screenshot? "Trust me"?

I've been building in this space (AURORA evidence custody for AI decisions) and the thing I keep hearing is that most teams don't find out their records won't hold up until the moment they need them to.

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3mo ago

AURORA - The audit trail your AI decisions don't have yet

Your AI made a decision. Weeks later, someone questions it, and you have nothing to show. So AURORA is evidence custody for AI decisions: seal each declared decision record with a qualified, tamper-evident timestamp the moment it happens, so it can't be backdated or quietly rewritten later. Not an AI judge, not another explainability tool, but a custodian. When the dispute comes, you already have the receipt. eIDAS-qualified timestamping, cryptographic hash-chain, independent verification!

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3mo ago

AURORA - Cryptographic evidence for AI decision records

AURORA is a cryptographic evidence layer for AI decision records. It seals records with SHA-256 hashes, RSA signatures, RFC 3161 timestamps, public verification URLs, and downloadable evidence bundles. It does not judge whether a decision was fair or legal — it preserves what was recorded so the record can be verified later.