Gonads – Golang based front end development tools

Hacker News

Gonads - Frontend development with balls So far the Node.JS/Ruby based frontend tools I've tried gave me either eye scratches or massive hairloss. All I really needed was a /simple/ way to transpile embedded JSX to react.DOM and compile SCSS stylesheets. Since none of the tools I tried made me enjoy frontend work any more than I already don't like it, I decided to solve this problem myself. The result is (going to be) a compilation of tools I enjoy to work with. I have started with writing a SCSS-to-CSS compiler in Golang. So far, I feel like it's been an interesting ride so far, for a first compiler. I welcome any feedback and contribution if this project interests anyone to help out. The repository includes a lexer, parser and compiler and the compiler test-suit runs against the official SCSS-specs to ensure compatibility.

Visit product View on Hacker NewsFeb 6, 2015

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

77%77% 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 · Missing: mac, agents, macos

53%53% 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

45%45% predicted probability of success on AppSumo, 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

38%38% 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: way · Missing: mobile apps, ios, personal

35%35% 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, revenue

17%17% 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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