Feathr – An Open-Source, Enterprise-Grade Virtual Feature Store

Hacker News

Hi everyone! We are engineers from Microsoft/LinkedIn, and we released an open-source Feature Store called Feathr a few weeks ago ( https://github.com/linkedin/feathr ). It has many highlights like below. Feel free to check out the repository and let us know if there are any questions! We also have a few blogs and recordings in case folks want to learn a bit more about it: Open Sourcing Feathr ( https://engineering.linkedin.com/blog/2022/open-sourcing-fea... ) Feathr + Azure integration ( https://azure.microsoft.com/en-us/blog/feathr-linkedin-s-fea... ). Tech talks on Feathr ( https://www.youtube.com/watch?v=gZg01UKQMTY ) And its highlights include (more highlights are in github repo): Battle tested in production for more than 6 years: LinkedIn has been using Feathr in production for over 6 years and have a dedicated team improving it. Scalable with built-in optimizations: For example, based on some internal use case, Feathr can process billions of rows and PB scale data with built-in optimizations such as bloom filters and salted joins. Rich support for point-in-time joins and aggregations: Feathr has high performant built-in operators designed for Feature Store, including time-based aggregation, sliding window joins, look-up features, all with point-in-time correctness. Derived Features and centralized Feature Registry which encourage feature consumers to build features on existing features and encouraging feature reuse. Happy to chat about it if anyone is interested in it!

Visit product View on Hacker NewsJul 5, 2022

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

79%79% 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 HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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 · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Refine 4.0 – Open-source enterprise-grade React CRUD framework80%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Refine 4.0 – Open-source enterprise-grade React CRUD framework

Hacker News14

Featureform – An open-source Feature Store for ML63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Featureform – An open-source Feature Store for ML

Hacker News136

Locus38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Enterprise-grade location intelligence without the enterpris

Indie Hackerscommitment-full-time

Abby27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open Source Feature Flaging with the best DX in town

Indie Hackers1analytics

RingRobin58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A enterprise grade call tracking platform with a viral twist.

TrustMRR26$1,304/moArtificial Intelligence

Keel GRC54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Enterprise grade self-serve GRC for SMBs.

Indie Hackerscommitment-side-project

Documenso 2.0.045%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Enterprise-Grade Signature Infrastructure for Everyone

Product Hunt+449Productivity

Flipt – an open-source feature flag solution56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Flipt – an open-source feature flag solution

Hacker News59

Wundergraph44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Enterprise-Grade Firebase Alternative

Indie Hackerscommitment-full-time

Stable Audio 2.567%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Enterprise-grade sound production

Product Hunt+126Artificial Intelligence

Browse all products Analyze your launch