WisPaper
Screen 1,000 papers to just 20 core studies
What it does
Type your question, screen 1000 papers in minutes, and focus only on the 20 that matter most. WisPaper helps researchers and graduate students overcome the overwhelming flood of academic papers by combining intelligent search with AI-powered reading support.
Does a similar job
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- WBWe built a modern research paper readerOct 2025 · ontosyn.com · ▲11
Over the past year, we’ve been frustrated with how clunky it is to manage research papers. So we built Ontosyn, a modern research paper reader, with clean ui, better in paper navigation (bookmarks, jumping back up after clicking on a reference), an integrated ai chat with useful tools such as recommending relevant papers that you can directly add to your library, and, of course, library functionality to keep everything organized. We launched a closed alpha last week, and our first users are quite pleased with it. One user asked for author-based search for paper recommendations yesterday, and…
- LYLast year I asked HN to do it, now I am doing it myself-JournalClub iPad2011 · ▲13
Almost one year ago I asked HN if anybody is interested to make a Web app to make reading and finding scientific papers smarter [http://news.ycombinator.com/item?id=1664648]. No one did, at least no one did what "I" think is the best way to approach this problem. A a few month ago I decided to do it myself.<p>Meet JournalClub iPad app (absolutely free), http://itunes.apple.com/us/app/journalclub/id443819334? I have a recommendation engine in the pipeline that I would introduce in the next update (hopefully in a month or so). I really appreciate any comments, feedbacks.
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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…
AI · 28d ago · cactuscompute.com
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Commerce · Sep 2025 · anycrap.shop
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I made a built-from scratch Wayland Compositor to display any GUI app* in the terminal! I think there is a lot of unexplored potential in custom Wayland compositors, a lot of really cool things you can embed existing applications into! So, I started with embedding apps into the terminal because that is the easiest input/output (output is just utf-8 and I use the great `chafa` library for that, and I just read from stdin for the input). If you have any other ideas for cool Wayland compositors, let me know. I purposedly wrote 80% the app in Typescript to appeal to the most developers and…
Dev tools · Sep 2025 · github.com
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Years ago I stumbled across a basic version of this concept and it stuck with me. I knew if I was ever going to take on such a project, it would need to be flawless, but without coding experience it was just another idea that would never happen. By the end of 2024, as AI coding tools exploded everywhere, I finally had a way to make it real. I started from zero knowledge and spent months collaborating with AI agents as a learning experience. Every pixel and every function went through me. The AI translated what I asked for into code, but every decision was human. I didn't use existing OS…
AI · 2025 · mitchivin.com
