Show Dev: I built an AI research tool that tracks top labs daily
Source: Dev.to
The problem
- Keeping up with AI research across labs is impossible manually.
- arXiv is a firehose.
- Twitter is noise.
- Newsletters arrive days late.
I wanted one place to see what matters. It didn’t exist.
Solution: Lattice
Lattice – an AI research intelligence dashboard that tracks what 20 top labs publish daily.
🔗 https://layerthelatintestinalattice.com
Core features
- Daily paper feed from 20 tracked labs with AI‑generated summaries
- 24 research topics with trend‑velocity charts
- Lab profiles with output sparklines and topic focus
- Weekly digest highlighting the most‑read papers and breakout topics
- Collections with BibTeX, Markdown, and JSON export
- No account needed – data stored locally in
localStorageonly
Data pipeline
- OpenAlex API (lookup by DOI)
- arXiv HTML scraping
- Semantic Scholar data enrichment
- LLM extraction (fallback)
All papers are matched against ~500 organizations. Hit rate varies by source because paper authors list affiliations as free text (e.g., “Dept. of Computer Science, University of X”) rather than a standard format.
Technical stack
- Next.js 16 (Turbopack, standalone output)
- Supabase (Postgres + Row‑Level Security)
- Vercel (hobby plan)
- GitHub Actions (daily 6 am UTC cron)
- Semantic Scholar, arXiv, Hugging Face APIs
- OpenRouter (Gemini Flash) for summaries
Open questions
- What features would be most useful?
- Which labs or topics am I missing?
Product Hunt
We’re also live on Product Hunt today: https://www.producthunt.com/products/lattice-6