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DevRaven – Monitoring for Developers

Hacker News

DevRaven – Monitoring for Developers

Hi HN! I am Krishna Thota, founder of DevRaven. DevRaven is a monitoring platform for Developers. DevRaven enables engineering teams or individual developers to setup active monitoring for their services/applications and get alerted when things don't work as expected Today's launch makes available the following features: API Monitoring - Monitor your HTTP end points and perform no-code or scripted assertions. Synthetic Monitoring - Execute browser based end-to-end tests using Playwright framework. No setup required. SSL Monitoring - Monitor SSL certificates for your end points and get alerted before they expire. Web Page Monitoring - Run continuous Lighthouse audits on your web pages to ensure best performance, SEO. Welcome any feedback, questions or suggestions.

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Actual performance

46points
34comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: using, code · Missing: mac, agents, macos
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
79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: 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
35%35% 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
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
18%18% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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