A lighting-fast and developer-friendly Federated Learning SDK

Hacker News

Hello everyone We have been working for a couple of years now on MetisFL, a federated learning framework that allows developers to federate their machine learning workflows and train their models across distributed datasets without having to collect the data in a centralized location. Since the project is now transitioning to a public phase, we are actively encouraging developers, researchers and data scientists to experiment with the framework and contribute to the codebase. Thank you in advance!

Visit product View on Hacker NewsJul 10, 2023

Share card

Actual performance

13points

2comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, models · Missing: agents, macos, agent

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

76%76% 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

48%48% 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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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

Similar products

Fast, Declarative, Reproducible, and Composable Developer Environments58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fast, Declarative, Reproducible, and Composable Developer Environments

Hacker News3

LocationBear46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Developer friendly Geofencing as a Service

Indie Hackers1analytics

Jenkins developer-friendly Client in Go47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jenkins developer-friendly Client in Go

Hacker News3

JetClient – A Developer-Friendly Alternative to Postman and Bruno31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

JetClient – A Developer-Friendly Alternative to Postman and Bruno

Hacker News1

I built a way to see if your SDK is AI-friendly38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a way to see if your SDK is AI-friendly

Hacker News4

Dev Utils46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Developer friendly Tools

Indie Hackerscommitment-side-project

Variate52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The developer-friendly A/B testing tool

Indie Hackers1marketing

AB Rocket63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Developer-friendly Conversion Platform

Indie Hackers3analytics

Chromecast C# SDK56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Chromecast C# SDK

Hacker News4

Traceo SDK for Java42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Traceo SDK for Java

Hacker News1

Browse all products Analyze your launch