De
Deep Learning for Answering Questions about Images
Hacker NewsDeep Learning for Answering Questions about Images
Share cardActual performance
9points
2comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released70%70% 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, personal64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto50%50% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive40%40% 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, podcasting20%20% 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
De
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 News7AI
AIStore – an open system for petascale deep learning67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AIStore – an open system for petascale deep learning
Hacker News11