VC Deal Sourcing Tool: A 5-Second First-Look on Any Startup

You opened forty company tabs this week. Maybe sixty. Some came through the inbound queue, a few from a partner forward marked "thoughts?", the rest from your own scouting across a category you're building conviction in. Each one deserves a real look. None of them deserves thirty minutes before you even know whether it clears the first filter. That's the analyst's daily contradiction: the volume is too high for slow diligence, and the data is too fragmented for fast diligence.

So the first pass becomes a tab marathon. The company site for the pitch. LinkedIn for headcount and hiring. Crunchbase for the last round and the cap-table names. BuiltWith for the stack. Google News for anything dated and material. Twenty to thirty minutes later you have a verdict that, honestly, you could have reached in two - if the inputs had just arrived together. Multiply that by every deal in the funnel and first-pass diligence quietly becomes the most expensive thing you do.

A 5-second first-look, sourced rather than guessed

ContextFetch is a Chrome extension and web app that collapses that marathon into one click. Open any startup's website, click the icon, and in roughly five seconds the side panel returns a decision-grade account briefing: an estimated revenue band, an employee-count band, funding and valuation, growth signals, the detectable tech stack, recent news, and a role-specific read built for the way an investor actually thinks. Our AI RAG engine fuses our database of billions of B2B companies with authentic external data sources - funding, news, and stack signals - in a single pass: no tab-hopping, no manual stitching.

The part that matters for diligence is provenance. Every number wears a label - disclosed, from news, known, or estimated - alongside a confidence score. A $40–60M revenue band sourced from a press release is not the same artifact as one inferred from headcount and pricing, and ContextFetch refuses to pretend otherwise. When a company is too obscure to read, it says unknown instead of inventing a number. For anyone who has been burned by a confidently wrong figure in a sourcing tool, that distinction is the whole point. This is a company research tool built to be defensible in a partner meeting, not just fast.

From raw tab to investability verdict

The investor view doesn't hand you a profile to interpret - it leads with a position. The investability verdict rates the company pass, watch, worth a look, or high conviction, then states a one-line thesis and the single biggest risk, and tells you which fields it leaned on to get there. That last bit is deliberate: you can see the evidence behind the call, so triage stays honest. A "worth a look" sitting on disclosed funding and three strong traction signals reads very differently from one resting on estimates, and you can tell which is which at a glance.

Underneath the verdict, the briefing reconstructs the skeleton of a first memo:

• Market sizing - a TAM band (under $1B, $1–10B, $10–50B, $50B+) with a one-line rationale and a read on whether the category is nascent, growing, mature, or declining. Niche categories get a deliberately capped confidence, so you're never oversold on a thin market.
• Traction signals - named customer logos, case studies, pricing changes, product launches, partnerships, geographic expansion - each sourced from the company's own materials or news and tagged by strength. No source, no signal; empty beats invented.
• Growth velocity - a hiring signal (aggressive, steady, or frozen), news cadence, a 0–100 momentum score, and a trajectory call: accelerating, steady, or cooling. This is your fastest proxy for whether the curve is bending the right way.
• Moat and differentiation - the stated differentiator drawn from the company's own positioning, plus an inferred moat type (network effects, data, switching costs, brand, tech IP, scale) and a frank defensibility read - including none apparent when that's the truth.
• Competitive set - a short, provenance-tagged list of who they're up against, so you can place the deal in a landscape without opening five more tabs.
• Risk flags - dated and sourced: layoffs, hiring freezes, exec departures, down rounds, lawsuits, customer concentration. Each carries a severity and a citation. A negative is never estimated - if it can't be sourced, it isn't shown.

Then the briefing closes where your real work starts. Diligence next offers a stage guess and three or four stage-appropriate diligence questions, plus a short list of specifics to verify - at least one of which points back at a low-confidence field in the briefing itself. It's effectively telling you where it's least sure and what to interrogate first. That's the difference between a data dump and a research partner.

The workflow, concretely

Inbound triage: a founder's site lands in your queue. Open it, click ContextFetch, read the verdict and the primary risk. "Pass" with a thin TAM and a cooling trajectory? Decline in two minutes with a reason you can actually articulate - and a saved briefing to back it up. "Worth a look" with disclosed Series A funding, aggressive hiring, and three strong traction signals? Forward it up with the thesis already drafted.

Outbound scouting: you're mapping a category. Walk the websites of fifteen players in a sitting, click through each, and let the momentum scores and growth-velocity reads surface the two or three bending upward. The free tier runs 60 briefings a day with no credit card - enough to canvas an entire subsector before lunch and build a watchlist you can revisit, because every briefing is saved and searchable in the web dashboard.

Pre-call prep: before a first meeting, pull the briefing and walk in with the diligence questions and the items to verify already in hand. You spend the conversation pressure-testing the thesis instead of collecting firmographics the company would have volunteered anyway.

Versus the manual stack

Done by hand, a first-pass involves a company revenue lookup, an employee count finder, a company funding lookup, a tech stack lookup, and a news sweep - five tools, five tabs, twenty-plus minutes, and a synthesis step you still have to do in your head. Subscription sales intelligence software bundles some of it but optimizes for contact records and seat-based pricing, not an investor's verdict-first read, and it rarely tells you how sure it is. As a Crunchbase alternative for the triage moment, ContextFetch isn't trying to be a system of record - it's the five-second judgment that decides whether the company earns a system-of-record's worth of attention.

Manual: 20–30 minutes across five sources, then synthesize. ContextFetch: one click, ~5 seconds, synthesized and source-cited - with the questions to ask next already written.

The same engine that powers VC deal sourcing here also serves sales teams qualifying accounts and recruiters reading hiring momentum - the difference is the role lens. For an analyst, that lens is investability: verdict first, evidence attached, risks dated, diligence queued. The point was never to replace your judgment. It's to stop making you spend your judgment on data collection - and hand you a sourced first-look fast enough to keep up with the funnel.

Your week has a fixed number of hours and your funnel doesn't care. Spend those hours on the deals that survive the first filter, not on assembling the filter by hand. Install the ContextFetch Chrome extension at contextfetch.io, open the next company in your queue, and get a sourced first-look before the page finishes loading in your head. Free tier, 60 briefings a day, no credit card - point it at a startup you already know and check it against your own read.