LetsPY – A Minimal Python Coding Playground

Hacker News

Hi HNers! Im so exited to release my second product(side project) on HN after one year development and content authoring in my spare time. I hope this project will help young fiends(mostly kids) to get started with coding journey with fun and ease. This is an interactive coding(using Python language) teach tool which is explaining couple of programming concept using gamification approach. Once learners successfully completed one project through coding practice he would get a reward badge. with these badges accumulation, he would get higher level reward such as coding cheatsheet and game authoring disclosure docs. Learning how to code is a big challenge for kids, even for smart kids those concept are always abstract and hard to understand. So, I made this tool to help young beginner to lower the doorsill through all possible approaches including game, video, text..and so on. I have great interesting in interactive online learning tools like this. I hope you would like to give a try on this product and find it helpful to your kids. All feedback and suggestions are welcome!

Visit product View on Hacker NewsAug 24, 2022

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Actual performance

1points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, including · Missing: supports, reddit linkedin, podcasting

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: using, coding, code · Missing: mac, agents, macos

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released

51%51% 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 · Strong signals: video, way · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: reward, smart · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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