Ag
Agent Passport – signed authorization envelopes for AI agents
Hacker NewsAgent Passport – signed authorization envelopes for AI agents
AI agents need the equivalent of OAuth scopes + JWTs, but for actions and spend — not just identity. Agent Passport is an open protocol + TypeScript SDK that issues Ed25519-signed delegation envelopes: scoped permissions, spend caps, time windows, and cascade revocation. Sub-agents get derived passports that can only narrow scope, never escalate. 10-line setup, works with MCP/LangChain/CrewAI. MIT. Curious what people think of the token format
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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, mcp · Missing: mac, macos, cursor94%94% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit24%24% 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, crypto20%20% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive15%15% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
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