I Built a Chrome Extension That Turns Long Articles Into Structured Notes, and It Taught Me Two Expensive Lessons
Mikhail Sapunov built R-Searcher, a Chrome extension that uses AI to analyze long articles into structured notes, summaries, and explanations without replacing the original content. The tool focuses on enhancing reading efficiency by offering features like inline text explanation and article breakdown into essence, notes, and next steps. Two key lessons from the project were the importance of cost-effective infrastructure and minimizing user data collection while maintaining functionality.
- ▪R-Searcher is a Chrome extension that analyzes articles into Essence, Notes, and Next Steps using AI.
- ▪The extension uses Gemini 2.5 Flash-Lite and runs on a lean tech stack including Cloudflare Workers and KV for performance and privacy.
- ▪It supports inline explanations of selected text and operates without requiring user accounts by using a locally generated installId.
- ▪The project prioritized low operational cost and minimal data collection from the start.
- ▪Sapunov emphasized designing the tool as a seamless reading aid rather than a separate AI interface.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3897953) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mikhail Sapunov Posted on Apr 29 I Built a Chrome Extension That Turns Long Articles Into Structured Notes, and It Taught Me Two Expensive Lessons #webdev #ai #buildinpublic #javascript I Built a Chrome Extension That Turns Long Articles Into Structured Notes, and It Taught Me Two Expensive Lessons When I started building R-Searcher, I was not trying to create another AI chat wrapper. The idea was much narrower.
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