| 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 |