I made a Reliability Management Platform to boost on-call productivity

Hacker News

Hi Everyone!! Our mission is to equip engineering teams and leads with the tools and insights they need to proactively identify, resolve, and prevent issues, minimizing downtime and maximizing system reliability. We aim to foster a culture of continuous improvement, driven by data-driven insights and best practices, to help our customers build resilient systems that can scale and adapt to the evolving demands of the digital landscape. Our relentless pursuit of excellence in reliability management drives us to deliver exceptional value and support, enabling businesses to focus on innovation and growth. We are passionate about redefining the future of Reliability Management, empowering organizations to thrive in the dynamic and competitive technological landscape.

Visit product View on Hacker NewsMar 19, 2025

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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

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

34%34% predicted probability of success on AppSumo, 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

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

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

18%18% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

16%16% 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

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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