LearnStreet - The Best Place to Learn How to Code

Hacker News

Hey HN - We’ve built a site where you can learn Python, Ruby, and JavaScript in a fun, engaging and interactive way. How is LearnStreet different from other learn-to-code sites you ask? UI/UX: A key aspect of LearnStreet’s courses is its distinct UI/UX. In order to see this, simply sign up! Multi-modal: Our courses are designed for beginners, and we have multiple ways to help you learn, including live chat, Twitter, Q&A, hints, videos and background material. If you don’t know which language you want to pick up, check out our teaser videos in the Courses page! http://www.learnstreet.com/lessons/languages/javascript Code Garage: If you already know how to code, check out Code Garage where you can try your hand at cool coding projects like building a Mastermind game or a Sudoku Solver. http://www.learnstreet.com/cg/simple/projects/javascript Dev Tool: We’ve culled the web to provide some key resources beyond the core programming language that will help you gain a better understanding of what it takes to become a competent coder. http://www.learnstreet.com/dev_tools/ We just launched about a week ago and would love to get your feedback. We are looking for expert coders to help build out our other courses so check out the Contribute section on our site as well. Coding Starts Here! -The LearnStreet Team

Visit product View on Hacker NewsOct 11, 2012

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

91%91% 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.

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

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

67%67% 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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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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