Building a Dealflow Engine with Claude Code (Full Guide)

How to find hidden startups, filter them with your thesis, and generate outreach on autopilot

Most investors are using AI at the wrong layer.

They use it to summarize decks, rewrite emails, clean up notes.

Useful but marginal.

The real leverage is somewhere else:

building a system that runs your dealflow for you

I created a complete guide to build a sourcing engine that:

• scans GitHub, Reddit, and Product Hunt

• surfaces early, often overlooked startups

• extracts signals about founders, products, and timing

• enriches them with context and contact data

• pushes the best ones into your CRM

• prepares first outreach drafts

• runs automatically on a schedule

This guide walks you through 22 steps, from setup to a fully automated tool.

Inside you will find:

1. How to set up your environment (Steps 0-3)

2. How to define your sourcing logic (Step 4-8)

3. How to build the intelligence layer (Step 9-10)

4. How to connect real data sources (Step 11-12)

5. How to structure and enrich opportunities (Step 13-14)

6. How to score and prioritize deals (Step 15)

7. How to connect your CRM and generate outreach (Step 16-17)

8. How to run the system and automate it (Step 18-22)

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Before we get into it, a quick heads up: in 7 days we’re updating our pricing.

If you’ve been thinking about upgrading to premium, now is the moment, current subscribers lock in today’s rate forever.

After next week, new subscribers will pay significantly more.

No tricks, just a real deadline.

The reason? We are working on 100xing the value of product market fit.

You are going to love what’s coming next 🔥

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Let’s begin!