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OpenBotAuth – Open-Source Web Bot Auth with Social Registry

Hacker News

OpenBotAuth – Open-Source Web Bot Auth with Social Registry

We're building an open source implementation for Web Bot Auth, which is an IETF draft for signed agent authentication over HTTP, without CDN lock-in. We've built a social registry, using Github login, where you can host your Signature Agent card/JWKS over a dedicated link. This saves you buying a domain and self-hosting your card. Please try it out : https://openbotauth.org/login We've also built a Wordpress plugin, which works in signed and unsigned mode. Unsigned mode gives you a preview and Signed mode gives you all access. Websites can point their origin server to our registry or use other registries to block unverified traffic. Demo: https://www.youtube.com/watch?v=8W5tScru5Us Docs: https://docs.openbotauth.org The next step is to build the delegation as discussed here: https://thibmeu.github.io/http-message-signatures-directory/... We'd love your feedback on our social registry and how we can improve it. :)

Visit productView on Hacker NewsNov 20, 2025
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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, using, open · Missing: mac, agents, macos
85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released
74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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