Digital Accessibility Remediation Tool
Convert human readable content to accessible HTML
What it does
DART — the Digital Accessibility Remediation Tool — converts PDFs and other human readable content into WCAG 2.2 AA accessible HTML automatically, at a fraction of the cost of manual remediation. DART automates what used to be a manual, expensive process. Upload a PDF, get back fully accessible HTML — with proper headings, alt text, data tables, and keyboard navigation.
Does the same job
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Our team at Clym built an open-source Accessibility Testing tool to help developers and auditors identify and fix web accessibility issues, combining automated and manual testing in one place. Our tool integrates the open-source axe-core[1] library for automated testing against WCAG 2.0, 2.1, 2.2 and EN 301 549 standards. For issues that automation can't reliably detect, it includes manual review workflows that guide testers through contextual checks (like keyboard navigation and visual contrast validation). It can also generate Accessibility Conformance Reports (ACRs) in multiple formats…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, April 2026
the whole month →
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Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com
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Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com
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Life & fun · Apr 2026 · sam-burns.com
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With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app