A
A webapp to capture brush-stroke data for deep-learning research
Hacker NewsA webapp to capture brush-stroke data for deep-learning research
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released58%58% 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, personal53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto51%51% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive33%33% 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, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting12%12% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Vararuchi34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
what the first stroke cannot awaken, persistence will
Product Hunt+2De
Deep learning – Dropout with Theano66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deep learning – Dropout with Theano
Hacker News5De
Deep learning retreat scholarships70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deep learning retreat scholarships
Hacker News1Li
Lipreading with Deep Learning66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lipreading with Deep Learning
Hacker News258De
Democratizing Deep Learning, with keras-pandas62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Democratizing Deep Learning, with keras-pandas
Hacker News4JA
JAXnet – Functional Deep Learning66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
JAXnet – Functional Deep Learning
Hacker News4De
Deep Q-Learning (DQN) Implementation for Atari Pong62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deep Q-Learning (DQN) Implementation for Atari Pong
Hacker News3C#
C# or Not – Deep Learning66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
C# or Not – Deep Learning
Hacker News7Op
Optimizing deep learning algo with BLAS and Cython68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Optimizing deep learning algo with BLAS and Cython
Hacker News2De
Deepserve.ai – Heroku for Deep Learning48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deepserve.ai – Heroku for Deep Learning
Hacker News7