The problem
Keeping up with AI research across labs is impossible manually. arXiv is a firehose. Twitter is noise. Newsletters land 3 days late.
I wanted one place to see what matters. It didn't exist.
What I built
Lattice — an AI research intelligence dashboard that tracks what 20 top labs publish daily.
🔗 layerthelatestinalattice.com
Features
- Daily paper feed from 20 tracked labs with AI summaries
- 24 research topics with trend velocity charts
- Lab profiles with output sparklines and topic focus
- Weekly digest with most-read papers and breakout topics
- Collections with BibTeX/Markdown/JSON export
- No account needed — anonymous, localStorage only
One interesting technical challenge
Matching paper authors to research labs. Papers list affiliations as free text ("Dept. of Computer Science, University of X") — no standard format.
The pipeline: OpenAlex API (by DOI) → arXiv HTML scraping → Semantic Scholar data → LLM extraction as a last resort. All matched against ~500 organizations. Hit rate varies wildly by source —
OpenAlex is great for established venues, arXiv scraping catches the rest.
Stack
- Next.js 16 (Turbopack, standalone output)
- Supabase (Postgres + RLS)
- Vercel (hobby plan)
- GitHub Actions (daily 6am UTC cron)
- Semantic Scholar + arXiv + HuggingFace APIs
- OpenRouter (Gemini Flash) for summaries
Feedback welcome
What features would be most useful? What labs or topics am I missing?
We're also live on Product Hunt today (https://www.producthunt.com/products/lattice-6).
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