Pr

PrototypeML, a social visual IDE for PyTorch neural networks

Hacker News

PrototypeML, a social visual IDE for PyTorch neural networks

Share card

Actual performance

3points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
72%72% predicted probability of success on BetaList, 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: ide · Missing: https docs, excited, just released
58%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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: visual · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% 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, podcasting
19%19% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Su
SuperNNova – Bayesian Neural Networks for Supernova Classification47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SuperNNova – Bayesian Neural Networks for Supernova Classification

Hacker News8
Ap
Applying the Unix philosophy to neural networks54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Applying the Unix philosophy to neural networks

Hacker News251
Do
Dogbreeding with Neural Networks52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dogbreeding with Neural Networks

Hacker News2
In
Interpret Convolutional Neural Networks in PyTorch44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Interpret Convolutional Neural Networks in PyTorch

Hacker News2
Ba
Bayesian Neural Networks and Uncertainty for Inferring Unseen Classes37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bayesian Neural Networks and Uncertainty for Inferring Unseen Classes

Hacker News3
Vi
Visual Neural Network IDE for PyTorch71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visual Neural Network IDE for PyTorch

Hacker News4
A
A Visual and Interactive Guide to the Basics of Neural Networks61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Visual and Interactive Guide to the Basics of Neural Networks

Hacker News63
Py
Pytorch_block_sparse: smaller, faster neural networks67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pytorch_block_sparse: smaller, faster neural networks

Hacker News6
Ai
Aim and Shoot – A game where your opponents are neural networks53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Aim and Shoot – A game where your opponents are neural networks

Hacker News11
Ai
Aim and Shoot – A game where your opponents are neural networks53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Aim and Shoot – A game where your opponents are neural networks

Hacker News118