Most research cold emails fail because they're generic. This agent reads each professor's 3 most recent papers via OpenAlex + Semantic Scholar, extracts specific methods and findings, and drafts personalized 80-120 word emails referencing the actual work — not just the lab name. Princeton Career Services recommends contacting 25+ professors; this makes that tractable in one evening. Built for the gap between AdmitHub ($2K+ consulting) and ChatGPT (writes "I am deeply passionate about your groundbreaking research"). ## What's included - **Faculty finder** — OpenAlex + Semantic Scholar (free public APIs); filter by field, university, recency, h-index - **Per-professor paper reading** — 3 most recent papers per target; extracts methods, findings, gaps, future-work language - **Personalized email drafts** — 80-120 words referencing specific paper + method + your connection; no LLM platitudes - **3 subject line variants** — paper-title-anchored, method-anchored, question-anchored; A/B test which lands - **Outreach tracker** — status (sent / replied / follow-up due / closed); response rate dashboard - **7-day follow-up auto-drafts** — references new paper details or program-specific developments; not just "bumping this" - **Program modes** — REU (undergrads), PhD applications, Master's research thesis, postdoc, paid Research Assistant - **Field coverage** — STEM (CS, bio, chem, physics, math, engineering), social sciences (psychology, econ, sociology), humanities (history, philosophy, literature) — adapts language + paper-reading depth to field conventions - **Export formats** — CSV (for spreadsheet workflow), plain text (for Gmail paste), Markdown (for Notion / Obsidian) ## Limitations - **Not a sender** — drafts emails; you send from your school account (deliverability + authenticity matter) - **Not a CRM** — internal tracker handles 25-100 outreach; larger pipelines should integrate with HubSpot / Notion - **Open-access dependent** — works best for fields with high open-access publishing (CS, bio, physics); humanities with paywalled work has thinner per-paper extraction - **Not a recommender** — surfaces matching faculty; doesn't decide which program is right for you - **English-first** — international research outreach drafts adapt but tone may need native-speaker review ## Best fit Undergrads applying to NSF REU programs (~10K applicants/year), prelaw/premed/prePhD students contacting 20-40 professors during application cycle, Master's students seeking thesis advisors, anyone trying to break into research without an existing network. Especially valuable in November-February PhD application crunch — the difference between 30 generic emails (1-2 reply rate) and 30 personalized emails (10-20% reply rate) is the difference between zero offers and competing acceptances.
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