Data & MCP

SellSide DB (acquisition intelligence)

SellSide DB is acquisition intelligence built on a simple premise: if a SaaS is being sold, the market for it exists. It holds 1,636 listings, each with verified financials and an AI-generated buyer thesis, plus semantic search across the set.

Last updated: July 9, 2026

Quick answer

SellSide DB holds 1,636 SaaS acquisition listings as market validation. Each listing carries verified financials, an AI buyer thesis, opportunity signals, and red flags, with semantic (vector) search across them.

  • 1,636 listings - acquisition as market validation.
  • Each: verified financials, AI buyer thesis, opportunity signals, red flags.
  • Semantic (vector) search across the set.
On this page

Why acquisition listings validate a market

A live acquisition listing is proof that a product reached enough traction to be worth buying and selling. If a SaaS is being sold, the market exists - and the listing's financials tell you how large it is.

The public overview is on the SellSide DB landing page.

What each listing contains

  • Verified financials.
  • An AI buyer thesis.
  • Opportunity signals.
  • Red flags.

Browse by lens

Sort the 1,636 listings by lens: cheapest multiple, newest, AI-recommended, or highest revenue - depending on what you are hunting for.

Build-not-buy: acquisition data for builders

Most acquisition marketplaces are aimed at buyers. SellSide DB is positioned differently: the same listings are read as market validation for builders. Instead of purchasing a business, you study why it is selling, what the current owner never executed, and where the gap is - then build the spin-off yourself.

The AI buyer thesis on each listing reads as a market thesis. It names the customers, channels, growth opportunities, and reasons for selling, which is exactly the intelligence you need to decide whether to build a competitor rather than buy the incumbent.

Red flags cut both ways

The red flags on a listing are a warning for buyers, but for builders they are a map of the incumbent's weaknesses - the exact places a fresh product can win.

Searching SellSide DB via MCP

search_sellside_listings
get_sellside_listing
semantic_search_sellside
  • search_sellside_listings - filter by keyword, category, multiple, revenue, or on-sale status for deal flow.
  • get_sellside_listing - pull one listing's full detail: financials, growth ops, key assets, AI buyer thesis, red flags.
  • semantic_search_sellside - describe the business you want in plain language and get ranked matches no rigid filter could find.
semantic_search_sellside: "founder-burnout SaaS with a clean codebase and recurring B2B revenue"

Frequently asked questions

How many listings are in SellSide DB?

1,636 SaaS acquisition listings, each with verified financials, an AI buyer thesis, opportunity signals, and red flags.

What lenses can I browse listings by?

Cheapest multiple, newest, AI-recommended, and highest revenue. Semantic vector search is also available for concept-based queries.

Is SellSide DB for buyers or builders?

Both, but the primary positioning is for builders. Buyers can filter by buy-box criteria to source acquisitions, while builders read the same financials, buyer thesis, and red flags as market validation to decide what to build instead.

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