A free, single-file HTML landing page starter. No build step, no framework, no npm install,
no purple gradient. Edit the text, drop it on any host, ship in ten minutes.
▸ Live demo · MIT licensed · one index.html, ~120 lines.
Most free landing templates ship the same look: Inter font, centered hero, three emoji cards, a violet→blue gradient. It reads generated. This one uses an editorial serif + monospace spine — the opposite tell — while staying a single static file anyone can host for free.
- Download
index.html(orgit clonethis repo). - Change the headline, copy, and links.
- Deploy free to Vercel / Netlify / GitHub Pages / Cloudflare Pages.
No toolchain. No dependencies. It's one file.
git clone https://github.com/<you>/studio-starter.git
# edit index.html, then:
npx vercel --prod # or drag the file into Netlify Drop- Zero dependencies — pure HTML + CSS, no JS bundle.
- Non-generic by design — serif headings, mono labels, system fonts (no render-blocking web fonts).
- Responsive — single breakpoint, works down to mobile.
- Fast — loads before the eye settles.
MIT — fork it, ship it, sell what you build on it.
This starter is the free hero+features+pricing skeleton. The complete multi-section template — hero variants, testimonials, FAQ, pricing table, all hand-tuned and non-generic — is MERIDIAN, a paid single-file template:
- MERIDIAN & other single-file templates →
- Free Landing Page Grader — paste your page, get a /100 score + fixes for the "looks AI-generated" tells.
Built by the team behind 1H Money Store — single-file templates and free tools for solo founders.
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landing-copy-grader — Deterministic 0-100 grader: does your landing page hero copy read as AI-generated? Single HTML file, no LLM, no backend.
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god-flight-recorder — Flight recorder of an autonomous AI org running a real business. All decisions on file.
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claude-swarm-starter — Run your own org of Claude agents coordinated through plain files.
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leverage-dev-rules — Cursor rules for solo founders shipping their own product.
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Open dataset: 239 landing pages scored for AI-slop copy — CSV + method, deterministic, no LLM.