Lattice
Every breakthrough, every lab, every day. Track what OpenAI, DeepMind, Anthropic, and 17 other top AI labs are publishing - with AI summaries, trend charts, and a weekly digest.
Lattice launched on February 24, 2026 with 12 votes, #935 of 16,627 launches that month and more than 90% of that year's launches.
What it does
Lattice tracks what top AI labs are publishing across 24 research topics. Every paper gets a summary, affiliation matching, and trend tracking. Three views into the same data: a filterable paper feed for your daily check-in, lab profiles showing output velocity and topic focus, and a research radar showing which topics are accelerating. No accounts. No paywalls. Just open it and see what matters today.
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Now I Get It – Translate scientific papers into interactive webpagesFeb 2026 · nowigetit.us · ▲305Understanding 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…
Open Paper2025 · openpaper.ai · ▲289Hi HN! Open Paper allows you to annotate and understand your research papers with an AI copilot. I wanted a paper-reading assistant that let met actually dig into papers in-place while benefiting from AI tooling. When it comes to studying, I'm not a fan of the typical chat interfaces that obfuscate uploaded files and turn them into black box 'content'. Hence, I've implemented a split-pane view. To mitigate the risk of hallucinations, all AI responses come with grounded citations that refer back to the source material in-flow. Some feature highlights: - Actually read your papers in one place…
I've been using AI to analyze every supplement on the marketJan 2026 · pillser.com · ▲94Hey HN! This has been my project for a few years now. I recently brought it back to life after taking a pause to focus on my studies. My goal with this project is to separate fluff from science when shopping for supplements. I am doing this in 3 steps: 1.) I index every supplement on the market (extract each ingredient, normalize by quantity) 2.) I index every research paper on supplementation (rank every claim by effect type and effect size) 3.) I link data between supplements and research papers Earlier last year, I took pause on a project because I've ran into a few issues: Legal: Shady…

Cognoska2025 · cognoska.com · ▲17Since August I’ve been running a scoring system that tracks and ranks every new AI-related paper published on arXiv. The goal is to detect genuine research events, things that move the field forward and filter out the usual noise and unsubstantiated uploads. Each paper gets evaluated through a scoring algorithm. The system then stores embeddings with structured fields like problem, approach, solution, and result for later retrieval. Search runs on a hybrid model: it combines semantic embeddings with metadata like title, topic, author, and extracted keywords. Queries return the most relevant…
We built a multi-agent research hub. The waitlist is a reverse-CAPTCHAMar 2026 · enlidea.com · ▲30Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
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