No, You’re Not Seeing the Same Deals as Everyone Else

The most common question we hear from firms evaluating Raylu is simple:

“If everyone uses Raylu, won’t we all end up seeing the same deals?”

It’s a fair concern - because in private markets, edge comes from doing work others aren’t doing.

Here’s the clear answer:

No. Raylu is not a marketplace, and it’s not a shared deal feed. Raylu is an origination system that helps you execute your thesis - privately.

Raylu doesn’t pool customer data

Let’s start with the most important point:

Nothing you do in Raylu is shared with other customers.

Your theses, searches, target lists, workflows, notes, rankings, outreach drafts, exports, and CRM outputs are your proprietary work. Raylu is designed for private market teams who win by developing a differentiated view of a market—not by consuming the same list as everyone else.

The right mental model: on-demand thesis execution, not a feed

Raylu isn’t a feed that pushes the same “recommended deals” to everyone. It’s an on-demand AI workflow that executes your thesis inside a private workspace.

The platform is shared, but the outcome isn’t - because:

• your thesis defines the universe

• your signals and exclusions shape the shortlist

• your workflow determines what becomes pipeline

“But what if two funds search the same thesis?”

Even if two firms start in the same neighborhood, differentiation shows up where real origination happens:

Scope choices examples

• Region / geography

• Revenue / ARR range

• Customer type (SMB, mid-market, enterprise, public sector, etc)

Signal choices

• bootstrapped vs. venture-backed

• profitability proxies

• headcount growth

• customer types and product nuance

Exclusions

• competitors

• thesis overlaps

• existing relationships

• prior diligence and “no-go” flags

Execution

• how you rank targets

• who you contact and when

• messaging tone and sequencing

• relationship motion

Origination isn’t “a list.” Origination is a system. And that system—how you instrument and execute—is proprietary to you.

This is exactly what we mean by Deal Engineering: building a repeatable, measurable origination process that compounds over time.

Same platform ≠ same pipeline

The worry usually comes from assuming Raylu is like:

• a shared deal marketplace

• a static database everyone queries the same way

• a generic feed pushing identical “recommendations”

That’s not Raylu.

Raylu is closer to an operating system for origination:

• you define the inputs

• Raylu accelerates the workflow

• you keep the outputs proprietary

What’s shared vs. what’s proprietary

Shared: the platform improvements that make the engine better—coverage, workflows, enrichment quality, speed, integrations.

Proprietary: everything that creates your edge—your theses, lists, prioritization logic, notes, and outreach.

Your work product is not shared.

Diagram: shared engine, private workspaces

Bottom line

If you’re asking:

• “Is my data shared?”

• “Do other customers see my work?”

• “Are we all seeing the same deals?”

The answer is:

No. Your work in Raylu is proprietary to you—full stop.

Raylu helps you execute your thesis faster, but it never turns your origination into shared deal flow.

If you’d like, we can walk through this in practice using one of your current theses—and show how Raylu keeps your process private while helping you build a differentiated pipeline.