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Hi HN!

Over the past months, I’ve been developing *AIHint*, an open standard for verifiable website trust metadata. The idea is simple: each website can publish a signed JSON “hint” that provides transparent, tamper-proof information about itself.

Why? Because today, AI systems, bots, and even humans often struggle to know whether a website is authentic, safe, or trustworthy. AIHint aims to provide a *cryptographically verifiable trust layer* that works across platforms.

Key points: - *Signed metadata*: each “hint” is digitally signed, ensuring integrity. - *Universal format*: JSON-based, easy to integrate in any ecosystem. - *Trust scoring*: cross-platform engine available in Python, PHP, and JS. - *Use cases*: AI content filtering, cybersecurity, compliance checks, or simply displaying trust indicators in apps.

This is still early, but the spec and first implementations are open source here: https://github.com/Ai-Hint/aihint-standard Docs: https://docs.aihint.org

I’d love feedback from the community: - What do you think about standardized trust scoring for websites? - Any pitfalls or design flaws we should anticipate? - Would this be useful in your projects?

Contributors and critical feedback are very welcome


no dear it is the next standard of AI market trust. jsut follow and you will see thanks for asking by the way and help is very appreciated


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