The latest articles on DEV Community by lugwiire benard (@lugwiire_benard_f91d020cf). https://dev.to/lugwiire_benard_f91d020cf https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4051947%2F24dd9d45-897c-40da-9669-70f77b4543e2.jpg https://dev.to/lugwiire_benard_f91d020cf en lugwiire benard Tue, 28 Jul 2026 19:26:02 +0000 https://dev.to/lugwiire_benard_f91d020cf/building-fetchmark-a-clutter-free-bookmark-manager-no-ai-pure-dom-parsing-f9b https://dev.to/lugwiire_benard_f91d020cf/building-fetchmark-a-clutter-free-bookmark-manager-no-ai-pure-dom-parsing-f9b <p>Hey DEV community! 👋</p> <p>I recently deployed <strong><a href="https://fetchmarkapp.com" rel="noopener noreferrer">FetchMark</a></strong>, a clutter-free bookmark manager designed to solve two common web reading problems: dead links and ad-choked pages.</p> <h2> The Problem </h2> <p>Most bookmarking tools simply save a URL. But web pages change, site structures break, and reading an archived article often means dodging auto-play video ads, cookie popups, and tracker clutter.</p> <h2> How FetchMark Works </h2> <p>When you save a link, FetchMark automatically extracts and archives the clean, readable text content while filtering out dead links, homepages, and non-article elements.</p> <h3> Why I Decided Against Using AI/LLMs </h3> <p>The trending approach for text extraction is wrapping an OpenAI or Gemini API call. However, I deliberately built FetchMark using <strong>deterministic DOM parsing heuristics</strong> instead:</p> <ol> <li> <strong>Instant Latency:</strong> Structural parsing (evaluating paragraph density, <code>&lt;article&gt;</code>/<code>&lt;main&gt;</code> tags, and text-to-link ratios) completes in milliseconds.</li> <li> <strong>Zero Hallucinations:</strong> Verbatim source content remains 100% accurate—no AI rewriting or summaries.</li> <li> <strong>Ultra-Low Cost:</strong> Keeps infrastructure lean without paying per-token API costs.</li> </ol> <h2> Tech Stack </h2> <ul> <li> <strong>Frontend:</strong> React + Tailwind CSS</li> <li> <strong>Backend &amp; DB:</strong> Supabase (Auth, Database, Edge Functions)</li> <li> <strong>Email:</strong> Resend</li> </ul> <h2> Looking for Feedback </h2> <p>I’d love for the community to give it a test run at <strong><a href="https://fetchmarkapp.com" rel="noopener noreferrer">fetchmarkapp.com</a></strong>! </p> <p>Specifically looking for feedback on:</p> <ul> <li> <strong>Extraction accuracy:</strong> How does it parse your favorite tech blogs or news sites?</li> <li> <strong>UI/UX:</strong> Speed and readability of saved articles.</li> <li> <strong>Edge cases:</strong> Any URLs that fail to extract properly.</li> </ul> <p>Drop any thoughts, feedback, or questions in the comments below!</p> webdev javascript react showdev