Show HN — [YC S22] – Rust for Impatient Developers (RFID)

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Hey everybody, it’s Sarup and Paul. "Rust for Impatient Developers" (RFID) is an interactive intro to Rust that skips programming 101, history, other fluff. Key features: * Tells you "how to write a function in Rust". Doesn't tell you "what is a function" * Distraction-free. Introduces exactly one simple idea at a time, no more * Includes simple interactive questions to verify you understood correctly * 100% free. Mobile friendly. Tracks and saves your progress. Try out the first 10 modules "Rust Basics" here: https://app.codecrafters.io/tracks/rust Why we built this: We're the makers of CodeCrafters, which offers advanced programming challenges for developers. e.g Build your own BitTorrent in Rust. Our users repeatedly kept asking for a Rust intro resource that offered "just enough Rust knowledge to get started on a reasonably complex first Rust project". Initially, we wanted to recommend an external resource. * But books were too long & too intense * Tutorials weren't interactive or saving progress * Jumping right into a Rust project is also too daunting So we built RFID :) Please try it out, we'd love any feedback, it's early days. https://app.codecrafters.io/tracks/rust Questions: * What could we improve in our current user experience? * What Rust related topics would you like to see covered? * What else is difficult about learning Rust? (besides syntax/concepts)

Visit product View on Hacker NewsFeb 27, 2025

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

85%85% 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.

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

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

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

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly, users · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · 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

8%8% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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