OpenMetadata – OSS platform for data discovery observability governance

Hacker News

Hi HN, OpenMetadata is an open-source metadata platform built to solve complex data management challenges and deliver high quality data assets. It’s based on the experiences of solving the data problems encountered at companies like Uber and Hortonworks. Our team includes the creators of Hadoop, Atlas, and Uber Databook, as well as committers/PMC of projects like Apache Kafka and Storm. Unified Metadata Platform * Unified: A single platform for data discovery, governance, and data observability. * API-first: Standardized metadata specifications using well-designed REST APIs, crucial for anyone consuming or pushing metadata for modern data teams. * Metadata platform: The data catalog is just one of the many applications of metadata built on the platform, vs different siloed data catalog tools, quality tools, governance tools, etc. that each have to be set up and maintained. Please check out more details about our project at https://open-metadata.org and join our community in Slack https://slack.open-metadata.org . You can also try out our live product sandbox with demo data at https://sandbox.open-metadata.org/ .

Visit product View on Hacker NewsJul 17, 2024

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

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, single, using · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

55%55% 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

33%33% 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

13%13% 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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