This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
SeenRelay gives AI agents a decision boundary before revalidating known external state. It checks local/native controls first, can add recent shared evidence, and falls back to the authoritative source. Free, no account, no API key.
I have built SeenRelay because I noticed that AI agents may repeat paid or slow read-only verifications.
I didn't want to simply build another 'cache', but a system that first tries to see if it is indeed useful and needed, before actually being implemented, so I made available the command: npx seenrelay scan .
It runs locally, doesn't upload code, doesn't modify your project and doesn't activate reuse.
It can output only three results: USE / DO NOT USE / INSUFFICIENT EVIDENCE.
USE — the measured workload shows that SeenRelay can add value after stronger local or provider-native controls have been considered.
DO NOT USE — a simpler or stronger native approach is better, so SeenRelay should stay out of that workload.
INSUFFICIENT EVIDENCE — there is not enough real workload data yet to justify either conclusion.
DO NOT USE will appear if ETag or cache or provider-native controls are better, so seenrelay will stand aside.
SeenRelay is integrated into Claude Code repository-hosted pending Anthropic review, so not yet approved.
Feed-back and real repo testing would be highly appreciated instead of upvotes.
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About SeenRelay on Product Hunt
“Know when your AI agents need to look again.”
SeenRelay was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #15 on the daily leaderboard. SeenRelay gives AI agents a decision boundary before revalidating known external state. It checks local/native controls first, can add recent shared evidence, and falls back to the authoritative source. Free, no account, no API key.
SeenRelay was featured in Productivity (661.9k followers), Developer Tools (520.4k followers) and Artificial Intelligence (479.9k followers) on Product Hunt. Together, these topics include over 374.9k products, making this a competitive space to launch in.
Who hunted SeenRelay?
SeenRelay was hunted by Vlad Belciug. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Vlad Belciug