An

An Automatic Drawing AI in Python

Hacker News

An Automatic Drawing AI in Python

Share card

Actual performance

5points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
81%81% 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 NewsMay not resonate with HN audience · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% 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, podcasting
25%25% 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, revenue
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Cp
Cppyy: Automatic Python-C++ bindings46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cppyy: Automatic Python-C++ bindings

Hacker News4
Au
Audiogrep – automatic audio “supercuts” in python56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Audiogrep – automatic audio “supercuts” in python

Hacker News3
Dr
Drawing a Brain with Bokeh in Python52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Drawing a Brain with Bokeh in Python

Hacker News1
Au
Automatic 1111, but as a Python Package83%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatic 1111, but as a Python Package

Hacker News11
Dr
Drawing Graphene with WebGL 262%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Drawing Graphene with WebGL 2

Hacker News3
Dr
Drawing with Lambda Calculus53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Drawing with Lambda Calculus

Hacker News4
Di
Dimensional Drawing48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dimensional Drawing

Hacker News1
Fu
Fully Automatic Tests for Python58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fully Automatic Tests for Python

Hacker News1
Ba
Backwards automatic differentiation in ~100 lines of Python44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Backwards automatic differentiation in ~100 lines of Python

Hacker News2
Au
Automatic initializer methods for Objective-C39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatic initializer methods for Objective-C

Hacker News3