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Every profile and paper becomes a 384-number fingerprint, so “misfolded proteins” finds work on aggregation too.
Search researchers by what their papers mean, read their work, and ask to join it.
Describe the idea, not the keywords. Profiles and papers are matched by what they're about.
Every researcher's papers are imported from OpenAlex, with years, venues and citations.
Draft with AI from their real papers, edit it, and say why in 500 characters or less.
The researcher accepts in one click and you both see it on your dashboards.
3 researchers · matched by meaning
Dr. Maya Rao
48 papers · 3.1k citations · h-index 22
Surface codes with biased noise
2025 · Physical Review X · 214 citations
Decoders for topological codes
2023 · Quantum · 96 citations
Lattice surgery at scale
2022 · npj Quantum Information · 61 citations
To Dr. Maya Rao
“Your 2025 paper on biased noise changed how I think about my thesis decoder. I've built a simulator in Python and would love to help test…”
Dr. Maya Rao
accepted your request
“Happy to have you. Let's start with the decoder benchmarks next week.”
acceptedEvery profile and paper becomes a 384-number fingerprint, so “misfolded proteins” finds work on aggregation too.
Researchers confirm their OpenAlex identity once; their most-cited papers (up to 10) arrive with titles, years and citations.
The AI drafts from the researcher's real papers and your own context. You edit it before anything is sent.
Dear Dr. Rao,
Your 2025 paper on biased noise made me rethink my decoder…
draft ready to edit
Up to 10 recommendations on your dashboard, each marked strong, good or possible, with the reasons listed.
One pending request per pair and 500 characters to say why. Researchers accept or decline in a click.
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