Op
OpenMined - Open Source Project for Federated Deep Learning
Hacker NewsOpenMined - Open Source Project for Federated Deep Learning
Share cardActual performance
26points
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: open source · Missing: https docs, excited, just released64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto39%39% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting17%17% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Th
The Open Source Deep Learning Glossary76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Open Source Deep Learning Glossary
Hacker News2Pl
PlaidML, open source deep learning for any GPU74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PlaidML, open source deep learning for any GPU
Hacker News52La
LaunchKit open source project52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LaunchKit open source project
Hacker News13Ad
Adoptoposs – find co-maintainers for your open source project52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Adoptoposs – find co-maintainers for your open source project
Hacker News1Sp
SpacecraftOS – Open-source project to sample-return from Martian soil50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SpacecraftOS – Open-source project to sample-return from Martian soil
Hacker News1TI
TINA-ORM, my first open source project66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TINA-ORM, my first open source project
Hacker News2Ch
ChartAngular (My first open source project)52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ChartAngular (My first open source project)
Hacker News2My
My first open source project, Pasteye52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first open source project, Pasteye
Hacker News3Op
Open-source contribution learning experiment – thumbor-bootcamp53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open-source contribution learning experiment – thumbor-bootcamp
Hacker News5
Mathify77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open-source learning for mathematics
Product Hunt+7