PaperTrace
Your AI copilot for scientific research
What it does
PaperTrace is purpose-built for scientific evidence workflows. It retrieves papers, extracts claim-level evidence, compares findings across studies, and generates structured reviews with verifiable citations. Its strength is trust at the evidence layer: every output stays tied to source literature, giving researchers and teams faster synthesis with traceability, accuracy, and auditability.
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Lettertrace25d ago · lettertrace.com · ▲375Track your AI visibility for free (using your own API keys!)
- NINow I Get It – Translate scientific papers into interactive webpagesFeb 2026 · nowigetit.us · ▲305
Understanding scientific articles can be tough, even in your own field. Trying to comprehend articles from others? Good luck. Enter, Now I Get It! I made this app for curious people. Simply upload an article and after a few minutes you'll have an interactive web page showcasing the highlights. Generated pages are stored in the cloud and can be viewed from a gallery. Now I Get It! uses the best LLMs out there, which means the app will improve as AI improves. Free for now - it's capped at 20 articles per day so I don't burn cash. A few things I (and maybe you will) find interesting: * This is…
- EEExplainpaper – Explain jargon in academic papers with GPT-32022 · explainpaper.com · ▲223
heyo! Explainpaper lets you upload a research paper PDF. If you don't understand a formula or sentence, just highlight it and the tool explains it for you I built this a few weeks ago to help me read a neuroscience paper, and it works pretty well! I didn't fine-tune GPT-3, but I do take a lot of context from the paper and feed that into the prompt (not the whole paper). Ppl have uploaded AI, biology, economics, philosophy papers and even law documents. Works in Chinese, Japanese, Spanish, French and more as well!
More ai this month
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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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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 · 27d ago · cactuscompute.com
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com