Analysis updated 2026-05-18
Have an AI coding agent build your personal portfolio site from your resume in one prompt.
Pull your latest blog posts automatically from Medium, Substack, dev.to, or RSS.
Sync a featured project's roadmap directly from its GitHub milestones.
Deploy the finished portfolio to GitHub Pages, Azure, or AWS with a single command.
| poleindraneel/launchfolio | 0xmukesh/docusaurus-tutorial | 1tsmejp/palworld-docker-wine | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | JavaScript | JavaScript | JavaScript |
| Last pushed | — | 2021-12-27 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | easy | easy | moderate |
| Complexity | 1/5 | 2/5 | 4/5 |
| Audience | vibe coder | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Viewing the deployed site needs only static hosting, but running the writing fetcher or local dev server requires Node 18+ or Python 3.
Launchfolio is a personal portfolio website template designed to be set up mostly by an AI coding agent rather than by hand editing lots of files. All of the content, such as your name, sections, theme colors, and links, lives in a single configuration file, and the rest of the site, roughly 500 lines of plain JavaScript with no framework or build step, renders itself from that one file. The idea is that you clone the template, open it in a tool like Claude Code, Cursor, or Copilot, and ask it to fill in the configuration from your resume or LinkedIn export, since the project ships an AGENTS.md file specifically written to guide that process. Beyond the basic identity and theme settings, the template can automatically pull your writing from Medium, Substack, dev.to, or any RSS feed, either through a manual command or a scheduled weekly GitHub Action, and you can add posts by hand as well. A featured project section can sync its roadmap directly from a public GitHub repository's milestones. There is also optional, privacy friendly analytics that tracks page views and outbound link clicks without cookies, off by default, supporting services like Plausible or Umami. A validation script called npm run check reviews your configuration file for errors and lists any placeholder text you still need to replace, which is meant to let an AI agent fix problems on its own without opening a browser to check. Once configured, the site can be previewed locally with Node or Python, and deployed with one command to GitHub Pages, Azure App Service, or AWS S3 with CloudFront. Viewing or deploying the finished site needs nothing more than a static file host, though running the writing fetcher or local dev server requires Node 18 or newer, or Python 3. The project is released under the MIT license.
A single config file portfolio template designed to be filled in and deployed by an AI coding agent, with automatic writing feed pulls and one command deploys.
Mainly JavaScript. The stack also includes JavaScript, Node.js, GitHub Pages.
You can use, modify, and share this freely, including for commercial purposes, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.