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Incident Response on Steroids

Hacker News

Incident Response on Steroids

Hi HN! We're the founders of Hatchet. Hatchet is your copilot for incident responses, we're able to inject context as soon as on-call engineers get a page, which translates to a reduction in the time spent getting up to speed on the issue itself. Hatchet is able to aggregate context from your Pagerduty, Sentry, DataDog, OpsGenie, CloudWatch, Confluence, Slack and Google Drive to deliver a holistic view of your systems immediately when you get paged. We have 5 more spots left in our beta and we would love to chat with folks who have hectic on-calls. You can book a demo with us via the link in our page: gethatchet.com or by sending us an email: andre@gethatchet.com! Cheers, Andre

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, google, email · Missing: mac, agents, macos
79%79% 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.
AppSumoStrong fit for a featured deal · Strong signals: soon, calls · Missing: plus, platform, intuitive
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
56%56% 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
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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