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Rockit – Web development e-learning using gamification and storytelling

Hacker News

Rockit – Web development e-learning using gamification and storytelling

Hey HN, I'm building Rockit, an online web development learning app that uses gamification and storytelling. The first version is set in a simulated school environment, where you need to complete courses, create a fully fledged blog post, help classmates with their practical and theoretical questions, keep track of notes, etc. This project is part of a long journey, losing my passion for development after working for years in the typical corporate world and trying to regain some of the spark I felt when I started learning web development at a young age. Some of the app highlights: - Real gamification elements: earning points, upgrading your IDE from a text document to VSCode, etc. - Learn in different ways, like theoretical questions, practical exercises and also helping classmates with theirs, where you can solve previously completed exercises from a fresh angle. - After each chapter, you'll need to complete a part of a bigger project which by the end you'll fully complete. In this version it’s a blog post. Feel free to give it a try, I’d love to hear your feedback! https://rock-it.academy https://forms.gle/QwrNU6aEjkaiokmY8 (optional feedback form)

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
89%89% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: using, notes, code · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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