A
A kid-oriented "Learning Python" site
Hacker NewsA kid-oriented "Learning Python" site
Built for my kids... might be useful for others? Intended for laptop/desktop use, not for mobile. Uses Pyodide to execute all the code in the user's browser. Content in the later sections is still a bit work-in-progress. Not sure what I'll do with it next, feedback appreciated! (The first section is just multi-guess questions as part of the introductory content. Try any other section to get the full in-browser-code-execution experience.)
Share cardActual performance
2points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, code · Missing: mac, agents, macos83%83% predicted probability of success on Product Hunt, 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, io · Missing: https docs, excited, just released60%60% 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, intuitive59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal45%45% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
A
A site for learning Java43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A site for learning Java
Hacker News3A
A Site for Learning Vim55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Site for Learning Vim
Hacker News41Py
Python library for learning binarytrees68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python library for learning binarytrees
Hacker News112Re
Relearning basic machine learning in Python54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Relearning basic machine learning in Python
Hacker News1Py
PyBroker – Algotrading in Python with Machine Learning66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PyBroker – Algotrading in Python with Machine Learning
Hacker News70De
Defiantly – machine learning in Python59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Defiantly – machine learning in Python
Hacker News2Cu
CustomStringParser ( Python)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CustomStringParser ( Python)
Hacker News1Lu
Lusernews is an implementation of lamernews in python48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lusernews is an implementation of lamernews in python
Hacker News1Do
Do/While in Python55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Do/While in Python
Hacker News4Ga
Gatos, conCATenative functions for python54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gatos, conCATenative functions for python
Hacker News1