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Research intelligence insights.
Thoughts on selling to scientists, navigating the research graph, and building the academic-to-industry pipeline.
The niche field scientist: why specialised researchers are easier to sell to than generalists
Entomologists, phycologists, paleoecologists — researchers in narrow fields are underserved by vendors who target 'life sciences' in bulk. Here's why going niche is actually the easier path to research sales.
How to Write a Cold Email to a Professor That Gets a Reply
Professors get dozens of cold emails a week and ignore almost all of them. Here's the structure, the timing, and the specific mistakes that separate the emails that get replies from the ones that get deleted.
Finding Industry-Ready PhD Students Before They Graduate
The best technical hires are PhD students 12-18 months from defending. Here's how to find them early, using publication, advisor, and conference signals — before recruiters flood their inbox.
Identifying Academic Co-Founder Candidates
The best deep-tech co-founders are often researchers who've already shown signs of wanting out of academia. Here's how to spot them using publication, patent, funding, and commercialization signals.
Mapping a University's Grant Funding to Spot Buying Signals
A new grant is a budget, a timeline, and a shopping list. Here's how to read public grant data to find labs that are about to buy instruments, software, and services.
ORCID as a Prospecting Data Source: What It Gives You and What It Doesn't
ORCID is a free, structured, API-accessible identifier for 20M+ researchers. Used right, it's one of the best prospecting sources in academic GTM. Here's how to mine it.
Turning a Conference Attendee List Into a Pipeline
A conference program is a pre-qualified list of researchers who self-selected into your exact topic. Here's how to turn presenters, posters, and sessions into a ranked, contactable pipeline.
How to Use H-Index to Prioritize Researcher Outreach (Without Getting It Wrong)
H-index is the fastest way to rank researchers by influence — but it's also the easiest metric to misuse. Here's how to use it for prospecting without burning your best leads.
Using Patent-Citation Data to Find Applied Researchers
When a patent cites an academic paper, it points at a researcher whose work has real-world applications — and often at the researcher themselves. Here's how to mine patent citations for high-intent leads.
Why Faculty Directories Are Bad Lead Sources
Scraping university faculty directories feels like an obvious way to build an academic prospect list. It's also one of the worst. Here's why directories fail and what to use instead.
How to Find Academic Researcher Email Addresses (That Actually Work)
Faculty directories are stale. LinkedIn is empty. Here's how to find verified institutional emails for academic researchers using publication data, ORCID, and grant records.
What Are KOLs? A Guide to Key Opinion Leaders in Pharma and Biotech
Key Opinion Leaders (KOLs) shape clinical decisions, influence drug adoption, and drive scientific consensus. Here's how pharma and biotech teams identify, map, and engage them.
Industry Bridge Signals: How to Find Academic Researchers Ready to Work With Industry
Not all researchers are open to industry engagement. Industry bridge signals — patents, startup affiliations, SAB roles — help you find the ones who are.
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