News-Hook lets you prompt alerts to stay informed on anything

Hacker News

News-Hook is a tool for setting up webhooks on any real-world, using just prompts. You can write prompts like: “Inform me when [movie] gets a Rotten Tomatoes score” “Tell me when [rumor] is confirmed or denied” “Alert me on any tariffs news between USA and Brazil” Here’s how it works: -You write a prompt saying what you want to be informed about. -You set up a webhook as always, with URL and payload. -Done. There is a full API in case you wanna do this programatically We got Swagger-UI open in case you wanna see Would love feedback, use cases I haven’t thought of, and critiques on design or security. Thanks!

Visit product View on Hacker NewsJun 27, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using, open · Missing: mac, agents, macos

66%66% 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 · Strong signals: way · Missing: mobile apps, ios, personal

52%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, podcasting

46%46% 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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

35%35% 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 · Missing: arr, mrr, revenue

9%9% 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.

Incorrect prediction on native model

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