Key takeaways
- Affinity is built to track relationships and deal flow — who you've talked to, when, and what stage a deal is in — not to read and assess the content of an incoming pitch deck.
- Analysts still manually open and screen every inbound deck to decide if it's worth a first look, before Affinity ever gets updated with a real decision.
- An n8n + Claude agent reads incoming decks, extracts the thesis-relevant details, and screens them against the fund's actual investment criteria before an analyst opens a single slide.
- This doesn't replace the investment decision or the partner's judgment — it replaces the first-pass reading labor of screening decks that were never going to be a fit.
- Funds running this get their analysts spending time on deals that already cleared a real first screen, instead of reading every deck cold.
A CRM Is Not a Reader
Affinity is genuinely strong at what it's built for: mapping a fund's network, tracking relationship warmth, and logging deal-flow stage. What it doesn't do — what no relationship-intelligence platform is built to do — is open an incoming pitch deck and tell an analyst whether it fits the fund's actual thesis. That first read, every time, is still a human opening a deck cold and deciding if it's worth a second look.
Where the Real Analyst Hours Go
A fund receiving a real volume of inbound deal flow has analysts spending a meaningful share of their week on first-pass screening: opening a deck, extracting the market, the traction numbers, the team background, the ask, and comparing it against criteria the fund already knows by heart. Most of that volume doesn't fit the thesis and never will. The problem isn't that screening is hard — it's that it's repetitive, and repetitive judgment against a known, stable set of criteria is exactly the kind of task that burns analyst hours without requiring an analyst's actual expertise until the genuinely promising decks surface.
The Workflow: Screening Before the First Human Read
We build this as an n8n workflow that ingests incoming decks, has Claude extract the thesis-relevant details — market, stage, traction, team, ask — and screens each one against the fund's actual investment criteria, producing a structured summary and a clear recommendation before an analyst opens a single slide. Deals that clear the screen get a human's full attention immediately; deals that don't are flagged with the specific reason, so nothing is silently dropped without a documented rationale.
What This Actually Replaces
Not the investment decision — that stays with the partners and analysts who make it. What it replaces is the first-pass reading labor: the hours spent opening decks that were never going to clear the bar, done identically every time by whoever's turn it is in the inbox rotation. Analysts spend their attention on deals that already passed a real first screen, instead of being the screen themselves for every single inbound deck.
Frequently Asked Questions
Does this make the investment decision?
No. It screens against known criteria and produces a recommendation with reasoning — partners and analysts still make every actual investment decision.
Does this replace Affinity?
No — Affinity remains the system of record for relationships and deal-flow tracking. The workflow reads decks and can write results back into Affinity; it doesn't replace what Affinity tracks.
What happens to decks the screen rejects?
They're flagged with a specific, documented reason rather than silently discarded — so a partner can override the screen on any deal at any time.
Does this work for funds with an unusual or narrow thesis?
Yes — the criteria the agent screens against are the fund's own, configured explicitly; it isn't screening against a generic model of what a "good deal" looks like.
