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Profmail is an AI research mentor that learns who you are, reads professors' recent papers, and writes outreach that sounds like you — not a chatbot.
3 free emails · no credit card · 13+ only
Draft v1 · ready to send
Maya Patel — Junior at Lincoln HS
Hi Dr. Chen — I'm Maya, a junior at Lincoln HS in Chicago. I've been spending my weekends on protein folding, which is why your 2024 ensembles paper made me put my coffee down twice…
Prof. R. Chen
Stanford
Prof. A. Wu
Stanford
Prof. L. Singh
Stanford
Students placed at
Sage, Quinn, Ember — pick a name, then have one running conversation. They remember your activities, your essays, your tone. Every email you send draws from that same memory.
Hi Maya — I read through everything you shared. The combo of bio + Python is a strong angle for Stanford's ensemble work.
I'm nervous I'll sound generic. Can we tighten the hook?
Try this: “your 2024 ensembles paper made me put my coffee down twice”. It's specific, it's honest, and it shows you read it.
Profmail reads each professor's recent papers — real titles, real abstracts — then finds the genuine connection to your projects, so your email earns a reply instead of getting archived.
Prof. R. Chen
Stanford · h-index 47 · Computational biology
Conformational ensembles for de novo design (2024)
We introduce a flow-matching model over backbone ensembles…
Latent diffusion for protein–ligand binding (2023)
Three tones — formal, warm, concise. We score every draft for length, AI tells, and originality. You approve, we send. Replies land in your real inbox.
Subject
Question about your work — from a Lincoln HS student
Hi Dr. Chen, I'm Maya — a junior at Lincoln HS. I've been teaching myself protein folding the past few months. Your recent paper on ensemble methods stuck with me — the way you handle conformational diversity is exactly the kind of work I'd love to learn from. Would you be open to a high schooler joining your group this summer?
Most students get a reply in the first week. We charge only when you're sending more than a handful.
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Replies that landed within the first 30 days of using Profmail.
“I was 15 and terrified to email anyone. Profmail wrote a draft I actually felt proud of, and the prof replied 26 hours later asking for a Zoom.”
“I sent 11 emails over the school year, got 4 responses, ended up with 2 lab visits and a co-author credit. None of my friends did this on their own.”
“It nailed how I actually talk. The professor said it sounded like a thoughtful college sophomore, not a 16-year-old googling 'how to email a professor'.”
“The mentor caught that my activities were heavy on robotics but the prof's lab was bio-leaning. It rewrote the angle in one click.”
Yes. The draft stays in your voice: short, specific, and grounded in each professor's real papers. We don't flag it as "AI." If anything appears at the bottom, it's normal deliverability fine print (how to reach you, opt-out, a postal line) — not an announcement about how you wrote the note.
Replies go straight to your real email — Profmail just sends, it doesn't intercept. We surface them in your dashboard inbox so you can prep a thoughtful response with the same mentor that wrote the original.
ChatGPT writes one email when you ask. Profmail keeps a memory of you — your activities, your tone, your goals — and reads each professor's actual recent papers before drafting. It's the gap between a writing tool and a research mentor.
About ten minutes. Pick a school, pick a field, and Profmail surfaces a short list of professors with research that matches your interests. The mentor drafts the first email in your voice — you review it and click send from your own Gmail.
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