A private pager for your AI agent loops

Hacker News

Problem Im solving: Im running 30+ fully autonomous agents. In some rare cases they get blocked because they cannot decide what direction to take. So I built a communication channel for them. So in case they get blocked they can ask me anything. The base case should be that no questions should arrive to me. But the more I automate the agents the more edge cases I find. That's why I built the `ask-a-human` where all my agents are connected into my phone in the same PWA app. I get push notifications and banners when agent needs something from me. That's all. It is also plug n play. No Account No configuration No monetization. It works with Magic Wormholes the channel is end to end encrypted. Please let me know if you find it useful!

Visit product View on Hacker NewsJun 23, 2026

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Actual performance

5points

1comments

Did not reach leaderboard

Launch Intel predictions

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

75%75% 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.

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

38%38% predicted probability of success on TrustMRR, 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

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.

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

32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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