Turn a thesis into a shortlist of private companies. See what each one builds, why it fits, and which facts still need checking. Keep the rejects and their reasons.
Compare Cursor, Replit and Lovable across team growth, open roles and estimated traffic. Find the signals that agree, the ones that conflict, and the gaps in the data.
Go from a company name to a concise investment memo: product, buyer, recent developments, risks and the questions worth asking the founders. Every material claim has an evidence trail.
Put Linear, ClickUp, Notion and Plane side by side: who buys, what they get and what it costs. Turn differences into positioning hypotheses you can test.
Read product reviews for recurring customer pain. Group complaints, count the evidence and keep positive counter-examples alongside it - with questions to test in customer calls.
Find a real product, partnership or hiring signal at a company on your watchlist. Turn it into one specific founder question and a short outreach draft for your review.
Checks your watchlist for dated news and prepares a digest to review. Start with one run, then choose a Slack destination and schedule when you're ready.
I/O
Hand it a company and your thesis, get back a score out of ten, how sure it is, and the sources it used. The same agent runs once or a hundred times side by side - one call per company.
Streams one part of the UK company register and finds companies incorporated this year in your space - R&D code and university-city postcode.
Two offers on the table. It works out what each one pays you at every exit size, and hands you a spreadsheet you can keep editing.
REG
When you scout founders from research papers, corporate labs sneak in - nothing in the word "Fujitsu" says company. This checks the official registry instead of guessing from the name.
You own 12%, two rounds are coming. It shows where you end up if you sit them out, and what holding your share costs in each one.
Your TVPI, DPI and IRR - plus the question nobody enjoys: what happens to them if your best company goes to zero.
Finds the week's rounds in your sector and checks each against your thesis. Includes rejects and a Slack-ready draft for your review.
Searches public news with Tavily, groups dated events in code, and links each finding to its source. Weak or ambiguous reports stay labelled.
Reads every company in your CRM and tells you what's wrong with the data - the same firm entered twice, records with no website, records that are just a name. It proposes; it never edits anything.
Reads your calendar, decides which meetings actually need a follow-up, and leaves the drafts waiting in Gmail.
Before you automate anything: what does a thousand runs a month actually cost? Priced on real published rates, not a guess.
Who's in this market, how good their data is, what they charge - and who won't put a price on their website at all.
What three company-data vendors would cost you at a thousand lookups a month - and, more importantly, which fields each one actually gives you.
Three convertible notes turning into shares at the next round. Who got the better deal, and what the founders are left holding.
Every company in the portfolio on one screen, sorted by who runs out of money first. Profitable ones are marked as such, not given a made-up date.
Scores early-career researchers as founder material - career stage, grants, who they publish with. The score is calculated, not an opinion.
Describe it in plain text, run it, and review the result. Save the workflow when it does the job you need.
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