OrgStack - a complete data validation platform for engineering teams

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Hi everyone! My name's Christian, and I'd like to share what we've built at OrgStack - a complete data validation platform for engineering teams: https://orgstack.io It's estimated that data quality issues cost US businesses over $600 billion per year[1]. Poor data quality is difficult to detect, and even more difficult to resolve. This eats up engineering resources and leads to outages in production infrastructure. Our goal is to make it easy for data and software engineering teams to manage data sources, receive critical alerts, and trace data-related incidents to their source. We drew inspiration for the UI from some of our favorite services, like NPM, Loggly, and Jenkins. Thanks in advance for taking the time to check out what we've built. We really appreciate your feedback, and we'd love to hear your thoughts and questions in the comments. [1] http://download.101com.com/pub/tdwi/Files/DQReport.pdf

Visit product View on Hacker NewsJun 25, 2020

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

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

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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11%11% 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.

Incorrect prediction on native model

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