AI Mailbox – An CLI inbox for your agent, no questions asked

Hacker News

AI Mailbox lets AI agents create disposable email inboxes with one command – no signup required. $ aimailbox create → Email: x7k2m@aimailbox.dev $ aimailbox list x7k2m $ aimailbox read x7k2m 1 Built for the problem every AI agent builder faces: email verification during automated signups. - Permissionless (no registration needed) - CLI-first with JSON output - Auto-extracts verification codes - Receive-only (no spam abuse) Built on Cloudflare Email Workers. Open source. Github: https://github.com/ted2048-maker/aimailbox Web Demo: https://aimailbox.pinit.eth.limo

Visit product View on Hacker NewsJan 30, 2026

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Actual performance

4points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

86%86% 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, personal

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

53%53% 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: open source, io · Missing: https docs, excited, just released

33%33% 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: builder · Missing: plus, platform, intuitive

33%33% 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

24%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, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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