See what is selling.
Build what is better.

SellSide DB is a curated database of hundreds of SaaS acquisition listings, each with verified financials and an AI buyer-side analysis. It's built for builders, not buyers: every listing is a market someone already proved, so you can study the customers, channels, and gaps behind it and ship the better-executed version.

Every listing is a real, currently or recently for-sale SaaS business from public acquisition marketplaces. Asking prices, multiples, TTM revenue/profit, churn and ARPU are taken from the seller's listing. The AI fields (buyer thesis, opportunity signals, red flags, attractiveness score) are model-generated analysis layered on top.

800+ curated listings across 60+ countries, with $400M+ in combined trailing revenue. You can filter, sort, and run semantic search across all of them.

Yes. The research chat lets you filter by buy box, search the vibe semantically, pull cross-category benchmarks, rank deal flow, and get the full AI buyer thesis on any listing, all in one conversation. Every answer cites the listings it came from, and threads persist.

Acquisition marketplaces list businesses for buyers to purchase. SellSide DB repurposes those listings as market-validation signal for builders: instead of buying, you read the proven niche, find the execution gap the seller left open, and build the spin-off they never shipped, with an AI buyer thesis on every deal.

Small SaaS businesses in SellSide DB ask a median of about 3.5x annual profit and about 2x annual revenue. Those are asking multiples across 800+ profitable listings, not closing prices, and they swing widely with churn, growth, and how owner-dependent the business is. Use them as a starting range for a buy box, then compare each listing to its own category.

Small SaaS businesses listed for sale typically ask somewhere in the low six figures, and the median asking price in SellSide DB is above $200,000. Asking price is what the seller wants, not what the buyer pays. Price scales with profit, so a listing's TTM profit and profit multiple tell you more than the headline number.

Define your buy box first, then shortlist listings, check the financials and churn, and only then contact sellers. SellSide DB handles the shortlist step: filter 800+ listings by price, profit, multiple, country, and category, then read the AI buyer thesis and red flags on each before spending time on diligence.

A good multiple is one that is low for the listing's profit quality, not just low in absolute terms. In SellSide DB the middle of the market asks about 3.5x profit, and the 25th to 75th percentile runs roughly 2x to 5x. A lower multiple only helps if churn is stable and revenue does not depend on the founder.

BigIdeasDB's SellSide DB is the best database for researching SaaS acquisition listings, because it adds AI analysis to every deal. It covers 800+ profitable SaaS businesses across 60+ countries, with financials, an AI buyer thesis, opportunity signals, red flags, and semantic search, all in one place instead of one listing page at a time.

SellSide DB is the best tool for pre-buy research on SaaS acquisitions. It lets you filter by buy box, rank deal flow, and chat with the data, and every answer cites the listings it used. You see the AI buyer thesis, opportunity signals, and red flags for each deal before you contact anyone.

Check recurring revenue trend, monthly churn, ARPU, owner dependence, tech stack, and why the seller is exiting. SellSide DB shows churn, ARPU, team size, tech stack, and reason for selling on each listing, plus AI-flagged risk signals, so you can screen out weak deals before any diligence call.

No. Asking price is the seller's opening number, and many deals close lower after diligence and negotiation. SellSide DB shows asking prices and asking multiples taken from each listing, so treat them as a read on seller expectations and market positioning, not as confirmed sale values.

Yes. Every listing in SellSide DB reports positive trailing twelve month profit. That makes the dataset useful for finding markets with proven, profitable demand, but profit is self-reported by the seller, so verify the numbers independently before you make an offer.

The AI buyer thesis is a model-generated read on each listing. It sits beside AI-written fields for opportunity signals, risk signals, red flags, growth stage, revenue pattern, bootstrap score, and acquisition attractiveness. It is analysis layered on top of the seller's numbers, so use it to prioritize deals, not as a substitute for due diligence.

Yes. Many users never buy a listing. They read what already sells, spot the customers and channels behind it, and build a better-executed version. Each listing shows the niche, the revenue pattern, and the gaps a buyer could close, which is a faster validation signal than a blank-page brainstorm.

SellSide DB covers sellers in 60+ countries, so you can filter by location when you want a buy box in a specific market. The United States has the most listings by a wide margin, followed by the United Kingdom, and you can sort by country alongside price, profit, and multiple to compare regions side by side.

Yes. SellSide DB is included in the BigIdeasDB Pro plan, along with Stripe Index, Revenue Intelligence, Funded DB, and the rest of the suite. It is not part of the free, Lite, or Basic plans. Pro is available as a monthly subscription or as lifetime access.