Re

Remake – A server-rendered framework for building CRUD web apps fast

Hacker News

Remake – A server-rendered framework for building CRUD web apps fast

I wanted to have a framework that would let me build web apps faster than ever before. I didn’t care if it was a little hacky or didn’t use best practices — I wanted to be able to get a multi-user application out the door in hours instead of months. I researched the CMS space for months before deciding to build something from scratch. My goal was to be 90% done building a web app once I had the static HTML and CSS finished. I’m not a big fan of building out API endpoints over and over again for every new app, fiddling with a database, or doing lots of config. What I ended up with was a syntax that lets developers tag HTML elements as containing data (i.e. objects or arrays), thereby transforming the tree structure of the DOM into a JSON tree that can be saved to the current user's account. It took a while after that to evolve the syntax and make it easy to use. I call the project Remake[0] and I’ve been working on it non-stop for the past year. After a failed Product Hunt launch[1], I kept going and managed to get my first few dozen users. I live stream my progress on Twitch[2] (Thursdays and Fridays, 12pm EST) and I’m consistently able to build full CRUD web apps within hours — projects that would’ve easily taken me weeks or months before. A bonus that HN might appreciate: Remake is a server-rendered framework, so the front-end library isn't even necessary or loaded for 90% of users. Only logged in users who can edit the current page need to have JS enabled. To see a 12 line, fully-functional todo app, a 30 minute Trello clone tutorial, and the rest of the docs, see: https://docs.remaketheweb.com/ [0] https://remaketheweb.com/ [1] https://blog.remaketheweb.com/product-hunt-ux-bugs-derailed-my-launch/ [2] https://www.twitch.tv/panphora

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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
85%85% 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: apps, user, new · Missing: mac, agents, macos
83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, month, users · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
23%23% 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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