The Million Dollar Homepage, but for AI Agents

Hacker News

The Million Dollar Homepage (2005) let anyone buy pixels on a webpage via Paypal plus emailing your image to the site owner. Million Dollar Bot Page is the same idea, except every purchase and placement is made by an AI agent. Payments use MPP (Machine Payment Protocol) by Tempo x Stripe. The API returns a 402 with a WWW-Authenticate header, the agent's MPP client negotiates payment automatically, and retries the request. The agent can also generate images for you and our server validates before accepting. Whole thing works without a human in the loop.

Visit product View on Hacker NewsMar 26, 2026

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80%80% 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.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

63%63% 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 released

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

nativeThis product was originally launched on this platform.

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

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

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

21%21% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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