Book Audit
Module_03 // Pscrape Engine

Stop searching.
Start deciding.

Pscrape delivers a scored, matched list of VCs and startups every morning — built from 14 data sources, filtered to your thesis, owned entirely by your fund.

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Pscrape Logo

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// The_Problem

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Crunchbase is stale

You're paying for data that's months old. Funds have moved on, startups have pivoted, contacts have left.

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Manual research doesn't scale

Your analysts are spending hours on sourcing instead of diligence. That's the wrong use of a $200k hire.

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No single source is enough

The best deal at seed stage won't be on Pitchbook yet. You need coverage across every active hub.

// What_You_Get

14

Sources, one output

Y Combinator, Seedtable, Tech.eu, EU-Startups, LinkedIn — scraped, merged, and deduplicated on every run. No duplicates, no noise.

1–10

Fit score on every lead

GPT-4o-mini scores each VC and startup against your thesis. Anything below your threshold never reaches your desk.

×4

Matched investors per startup

Each startup arrives pre-matched to its top 4 VCs — scored and reasoned. Your team skips straight to the call.

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You own the infrastructure

Pscrape runs on your servers. Your results live in your database. Zero dependency on third-party platforms that can change pricing, throttle access, or disappear.

// Data_Sources

Every active hub where deals surface early — not the laggards that index after the round is closed.

Y Combinator Seedtable Tech.eu EU-Startups LinkedIn VCs Google / DDG / Bing / News Crunchbase Dealroom AngelList ProductHunt Pitchbook
Live Auto top-up when quota is short Bypass in progress

// Scoring

Only see leads worth acting on.

Before a lead reaches your output, GPT-4o-mini has read its website, pulled its search context, and scored it 1–10 against your fund's criteria. Set a minimum threshold — everything below it is silently dropped.

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VCs scored on thesis match, check size, stage focus, geography

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Startups scored on traction, stage, investability, raise readiness

psychology

Missing fields — revenue, valuation, headcount — inferred by the model

Example output — VC

Sequoia Capital 8/10

Strong AI thesis, global reach, $1M–$100M+ check size

Index Ventures 7/10

EU-first, seed to Series B, deep tech preferred

Generic VC Ltd 4/10

Filtered — below threshold

// Your_Thesis

Write your thesis in plain English. Pscrape does the rest.

No tagging. No filter menus. Describe your fund's focus the way you'd say it in a meeting — stage, sector, geography, check size. Pscrape parses it and applies it to every source, every run.

Stages

Pre-seed through Pre-IPO

Geography

50+ regions, cities, blocs

Sectors

AI, climate, fintech, SaaS, cyber…

Check Size

Min / max parsed from plain text

Example brief

"European seed-stage investors in AI and climate tech, minimum $500k check size"

parsed into
check_circle Stage: Seed
check_circle Region: Europe
check_circle Sectors: AI, Climate
check_circle Min check: $500,000

// Setup

1

We scope it to your thesis

30-min audit call. We configure sources, scoring thresholds, and your research brief together.

2

Deployed on your infrastructure

Runs on your server. Your data. Connected to your CRM if needed. Live in days, not weeks.

3

Scored leads, every morning

Your team opens a ranked list — not a raw database. Matches pre-done. Ready for outreach.

// Live_Output

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Scored Leads Output Screenshot

Daily VC & startup digest

Your fund's deal flow,
on autopilot.

Book a 30-min audit. We scope Pscrape to your thesis and have it live in days.