About
About TraceMind
TraceMind is a browser extension built by one developer who kept losing pages.
That's really the whole origin story. I'm a full-stack developer. I spend my days reading documentation, Stack Overflow answers, GitHub issues, blog posts, tutorials. Hundreds of pages a week. And I kept losing them.
Not physically losing them. The pages still existed. But I couldn't find them again. Chrome's history search only looks at page titles, and page titles are often useless. "Getting Started." "Documentation." "Why isn't this working?" None of that tells you what the page was actually about.
I'd remember reading something useful, maybe an article about caching strategies or a tutorial about authentication patterns, but I couldn't remember where I found it or what it was called. So I'd search my history for keywords that seemed right, find nothing, and eventually give up and search the whole internet again for something I'd already found once.
This happened constantly. It was maddening. So I started building a tool to fix it.
Why Local-First?
The first decision I made was that everything would stay on the user's device. No cloud. No accounts. No servers storing browsing history.
This wasn't the easy path. Cloud services are simpler to build. The AI could run on powerful servers instead of in a browser. I could offer features like sync across devices.
But browser history is sensitive. It reveals what you're interested in, what you're worried about, what you're planning. I didn't want to be in the business of storing that information for thousands of people. I didn't want to write a privacy policy explaining why it's actually fine that your history lives on my servers.
So TraceMind runs entirely locally. The AI model runs in your browser. The database lives on your device. Nothing gets uploaded anywhere. When you uninstall the extension, your data disappears with it.
This means I genuinely cannot see your browsing history. Not "we promise not to look." Not "your data is encrypted on our servers." It's technically impossible for me to access it because the data never leaves your computer. That felt like the right way to build this.
Why Semantic Search?
Traditional history search matches keywords. You type "authentication" and it finds pages with "authentication" in the title. If the page was titled "Getting Started with OAuth" instead, you won't find it.
Semantic search matches meaning. You type "authentication" and the AI understands you're looking for pages about login systems, security, user verification, OAuth, JWT tokens, session management. It finds relevant pages even when the words don't match. This is the difference between searching for what you typed and searching for what you meant.
The technology to do this has existed for years in big companies. What's new is that it can now run entirely in a browser. JavaScript AI libraries have gotten good enough that we don't need cloud servers anymore. Your laptop is powerful enough to understand language.
TraceMind lets you search your history the way you actually think about it. "That article about caching I read last week." "The documentation for that Node.js library." "Something about TypeScript generics." Describe what you're looking for, and the AI figures out which pages match.
One Developer, One Product
TraceMind is not backed by venture capital. There's no team of fifty engineers. It's one developer building a tool that solves a real problem.
This means development is slower than it would be at a funded startup. Features take time. The roadmap is long. But it also means the incentives are simple: build something useful, charge a fair price, don't do anything sketchy with user data.
I use TraceMind myself every day. When something is broken or annoying, I notice immediately because I'm a user too. When I'm deciding what features to build next, I'm not optimizing for metrics that look good in investor presentations. I'm building what actually makes the product better.
The free version is genuinely useful, not a crippled demo designed to frustrate you into paying. The paid version exists because running a software product costs money, and charging users directly is more honest than harvesting their data.
The Tech Stack
TraceMind is built with TypeScript and runs as a Chrome extension compatible with all Chromium browsers.
The AI uses Transformers.js to run embedding models directly in the browser via WebAssembly and WebGPU. No external API calls for AI processing. Vector search runs on-device with a CSP-safe brute-force cosine similarity index for fast nearest-neighbor lookup across thousands of stored pages.
All data is stored in IndexedDB with compression to minimize storage usage. The extension uses offscreen documents for heavy processing to avoid blocking the browser's main thread. The architecture is designed around a single constraint: nothing leaves the device. Every technical decision flows from that principle.
Get In Touch
Questions, feedback, feature requests, bug reports, I read everything. Email: support@tracemind.app. I can't promise to implement every suggestion, but I genuinely want to know what's working and what isn't. Building in public means listening to the people who actually use the thing.
The Short Version
TraceMind exists because browser history search is bad and I got tired of losing pages. Everything runs locally because your browsing history is none of my business. The AI understands meaning because keyword matching isn't enough. One developer, no venture capital, no data harvesting. If that sounds like the kind of tool you want, welcome.
Want the quick pitch? TraceMind is built by an indie developer who kept losing pages in browser history. Chrome's history search only matches page titles, and page titles are often useless. So I built a tool that searches by meaning instead of keywords. Describe what you're looking for, and the AI finds matching pages even when the words don't line up. Everything runs locally on your device, no cloud servers, no accounts, no data uploads.