Webhooks for platforms that do not natively support them

Hacker News

Hello HN, We’d like to show you our project — Nohooks[0]. The aim is to add webhooks to platforms that do not natively support webhooks. We really believe many APIs can provide a better developer experience by providing webhook notifications to enable us to automate more things. Nohooks works by intelligently polling the integrated platform's APIs, determining if a change has occurred, and generating webhook events. Nohooks currently supports webhooks from Notion’s Databases, Render’s Services & Deployments, and DigitalOcean’s Droplets. We will add more in the coming days and improve the types of events/payloads generated to enable new workflows that were previously impossible or difficult to achieve. It uses Convoy[1] to power its webhooks delivery and debugging dashboard. We welcome you to try it out and give us your feedback — what platform would you love to have webhooks for that doesn’t currently exist? What webhooks best practices would you like to see implemented? [0] https://nohooks.io [1] https://github.com/frain-dev/convoy

Visit product View on Hacker NewsJun 28, 2023

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, ide, io · Missing: https docs, excited, just released

66%66% 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 · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% 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

12%12% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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