Locofy.ai – Turn Figma Designs into Code: React, React Native, HTML-CSS

Hacker News

Hey there, I am Honey - Co-founder at Locofy. We, along with other makers, have been building Locofy.ai to help massively accelerate the builders - the designers, developers, product managers & founders, and we're excited to share it today with the HN Community. Locofy.ai simply converts designs into production-ready frontend code for web and mobile apps. It adapts to your preferred design tools, tech stack, and workflows with ease and lets you launch upto 4x faster, while letting designers design the way they want and giving high-quality responsive code that developers love. With this launch, you can convert your Figma designs into React, React Native, Next.js, Gatsby, and HTML-CSS code. You get a live-responsive prototype that runs on code (we call these ‘real-fidelity prototypes’) and when good to go, you can either export the code to build on top of it or directly deploy to Netlify, Vercel, or Github. Today, we have also launched on Product Hunt. Let us know your thoughts and suggestions: https://www.producthunt.com/posts/locofy-ai . Our team will be answering all your questions!

Visit product View on Hacker NewsJul 18, 2022

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

97%97% 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 · Missing: supports, reddit linkedin, podcasting

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

59%59% 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: mobile apps, apps, way · Missing: ios, personal, entrepreneurs

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

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

24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

21%21% 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.

Incorrect prediction on native model

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