Li
Livelossplot – Live deep learning training plots in Jupyter Notebook
Hacker NewsLivelossplot – Live deep learning training plots in Jupyter Notebook
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released55%55% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos51%51% 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.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue27%27% 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, podcasting26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Neurify37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deep learning training made easy
Indie Hackers1aiLi
Live Training Loss Plot in Jupyter Notebook for Keras and PyTorch41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Live Training Loss Plot in Jupyter Notebook for Keras and PyTorch
Hacker News2Diffgram29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Training Data Software (Deep Learning)
Indie HackersDe
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 News4C#
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 News2