Delegare – let AI agents pay safely (x402, AP2 – base/USDC and Stripe)

Hacker News

Hi guys, am building SecureLend.ai and when working on our underwriting agents (free trial, paid after) I had issues with seamless payment options. Of course I looked at x402 which I believe is a great protocol but not a fan of a) sharing private keys with the agent b) having a human in the loop or c) similar workaround e.g. pre-funded wallets So I started building out a solution. For my use case it was important to not only have stablecoins but also a fiat rail which is now implemented using Stripe. Initially I build a mandate system internally but am very glad and big shoutout to the guys at google for AP2 ( https://github.com/google-agentic-commerce/AP2 ) which I ended up using for the scoped payment mandates. Please do check it out and would appreciate feedback from people building in the space. Docs: https://docs.delegare.dev Git: https://github.com/delegare/delegare Sandbox: https://app.sandbox.delegare.dev/

Visit product View on Hacker NewsApr 28, 2026

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, agentic · Missing: mac, macos, cursor

90%90% 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: io · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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

Similar products

Walle85%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Let AI agents pay for you

Product Hunt+151Payments

Mighty – let AI agents use private data safely57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mighty – let AI agents use private data safely

Hacker News1

Vultrino – Let AI agents use credentials without seeing them22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vultrino – Let AI agents use credentials without seeing them

Hacker News2

Naja-scope – Let AI agents explore SystemVerilog netlists over MCP25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Naja-scope – Let AI agents explore SystemVerilog netlists over MCP

Hacker News1

Qencode MCP93%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Let AI agents transcode and process video

Product Hunt+104Streaming Services

Orchard – Let AI agents set up your app's back end with one prompt31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Orchard – Let AI agents set up your app's back end with one prompt

Hacker News2

A2acast – Let AI agents on different computers work together49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A2acast – Let AI agents on different computers work together

Hacker News5

Auth Agent – Let AI Agents Log In Without Human Credentials36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Auth Agent – Let AI Agents Log In Without Human Credentials

Hacker News4

Sidemail MCP89%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Let AI agents write & manage your SaaS emails

Product Hunt+150Email

Papermark Agents85%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Let AI agents run your next deal, fundraise or data room

Product Hunt+143API

Browse all products Analyze your launch