Thesis-First Sourcing Doubled This VC's Pipeline

A San Francisco multi-stage VC swapped category filters for thesis-first sourcing, and doubled its opportunity pipeline.

By

Ali Dastjerdi, CEO

Thesis-First Sourcing Doubled This VC's Pipeline

A San Francisco multi-stage VC swapped category filters for thesis-first sourcing, and doubled its opportunity pipeline.

By

Ali Dastjerdi, CEO

Background

Thesis-driven firm, category-driven tools

Thesis-driven firm, category-driven tools

Thesis-driven firm, category-driven tools

A San Francisco multi-stage venture firm built its edge on thesis-driven investing. Its tooling, though, was category-driven. The firm paid for multiple investment databases and still kept missing emerging disruptors, because no filter answers a question like "who is solving supply chain waste in agriculture?"


The same gap showed up in M&A work for portfolio companies: niche acquisition targets assembled by hand, over days, with plenty of room for oversight.


What the firm needed:

  • Search by problem, not by category

  • Surface the early-stage disruptors and under-the-radar targets databases miss

  • Automate the research grind, with results flowing straight into the CRM

The Challenge

The thesis didn't fit the filters

The thesis didn't fit the filters

The firm's theses started with problems: who is solving this? Their databases only answered categories: who is tagged that? The space between those two questions was filled with analyst time. Days of sifting produced half-decent market maps that missed smaller players, M&A target lists were built by hand and prone to oversight, and emerging disruptors slipped through because no filter described them yet.

The Solution

Type the thesis. Get the map.

Type the thesis. Get the map.

Raylu gave the firm thesis-first sourcing: describe the mandate in plain language, and the market map comes back scored and CRM-ready.


  • Thesis-first search. Type the mandate the way you'd say it: "early-stage companies solving supply chain waste in agriculture." Raylu surfaces the companies behind the problem, not just the ones behind the tag.

  • Ranking tuned to the mandate. Every lead is automatically scored against the firm's criteria, so the team starts each map at the names most worth their time.

  • CRM in the loop. Raylu pulls in supplementary data and pushes structured insights back into the firm's existing systems. No new workflow to learn.

We used to spend entire days sifting through data to build a half-decent market map that missed a lot of smaller players. Now Raylu handles it all in minutes, and we show up to meetings with insights that blow founders away.

- VP, SF-Based Multi-Stage VC Firm

The Results

2x

2x

Opportunity pipeline

5 min

5 min

To build a market map

2.5x

2.5x

More leads per search

Twice the pipeline

Thesis-first search uncovers 2 to 2.5x more relevant, qualified companies than the firm's manual process ever did, including the smaller players the filters always missed.


Market maps in minutes

What took 10+ hours of sifting now takes about five minutes, so the team can test a thesis the moment it forms instead of rationing research time.


An edge founders can feel

The team walks into first meetings already fluent in the company, its market, and its competitors. In a competitive round, that fluency wins allocations.

Net effect: more theses tested, more hidden companies found, and a firm that shows up first with the sharpest map in the room.

Ready to put your capital to work?

Ready to put your capital to work?

Ready to put your capital to work?