Makers.so – A website builder inside Figma

Hacker News

Founder here. Makers.so is a Figma Plugin to build and publish sites without ever leaving Figma. Here’s a demo [0]. As a front-end developer I constantly go from Figma to code / site, but it’s tedious… I decided to automate the process with this plugin. It works great for simple projects like: - Landing Pages - Portfolio / Personal sites - Resume sites - Careers / Wiki sites So, not a Webflow / Framer competitor (yet). Webflow and Framer are amazing tools, but if you are in the Figma ecosystem, it's boring to duplicate your work on a different tool. I'm trying to make life easier for Figma users. If this seems interesting, you can install it here [1] and give it a try. — For a bit of context, I'm a solo-founder and I started Makers after sharing my idea on the Figma subreddit about how awesome it would be to have a button in Figma to publish my designs. A good amount of people seemed to agree, and that was enough to start working on it. This is turning out to be a super fun project, and I’ve been working full-time for the last two months. [0] - https://twitter.com/joaodmj/status/1488216877511884805?s=20 [1] - https://www.figma.com/community/plugin/991438050654881175

Visit product View on Hacker NewsFeb 10, 2022

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180points

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

84%84% 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

83%83% 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

67%67% 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: personal, month, users · Missing: mobile apps, ios, entrepreneurs

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

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

38%38% 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

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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