Makery – Static website builder that works in the browser

Hacker News

I've never really liked using drag-and-drop website builders but starting from a template always felt like too much work. Makery combines the best of both worlds. My goal was to create a site builder that: - Allows me to use modern frameworks like React, Tailwind, and Nextjs - Build pages from predefined components - Customize pages right in my browser - Deploy my website with a single click Probably the most interesting feature of the product is the page editor. With the editor, you can quickly build new pages using predesigned building blocks, built with React and Tailwind, and customize them to your liking right in the browser. The editor generates the preview on the client side, which makes the editing experience really nice. You can only use a fixed set of npm packages at the moment. Let me know if you want to build an actual website with it and I can create an account for you.

Visit product View on Hacker NewsOct 19, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, single, using · 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

87%87% 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 · Missing: https docs, excited, just released

60%60% 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: builder · Missing: plus, platform, intuitive

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

43%43% 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

15%15% 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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