Signal selection
Raw opportunities are filtered for recurring-revenue relevance, buyer practicality, and economic shape.
DealsVector filters recurring-revenue listings into a smaller set of founder-reviewed acquisition signals with scored economics, risk context, and honest catch analysis.
Marketplaces create volume. DealsVector applies category boundaries, economic ranking, founder review, and plain-English risk framing.
The result is a smaller review queue: fewer signals, clearer context, and stronger questions before deeper diligence.
Raw opportunities are filtered for recurring-revenue relevance, buyer practicality, and economic shape.
Signals are labelled with score, tier, profile, multiple, and the reason they deserve attention.
Each surfaced signal includes the risk questions that should be checked before deeper diligence.
A believable multiple at ~1.8x annual revenue — not suspiciously cheap, not stretched — on a real product with a decade of operating history rather than a recent AI wrapper.
Why it surfaced: Established recurring revenue, long operating history, and a defensible multiple in a range small-capital buyers can realistically act on.
Honest catch: An 11-year-old codebase carries stack-age, migration, and tech-debt risk. Customer concentration still needs verification.
What to verify: Revenue evidence, customer concentration, churn, codebase health, seller workload, and whether the product is still actively maintained.
DealsVector exists to make fewer signals visible. The value is in what does not reach the buyer as much as what does.
DealsVector does not sell businesses, represent sellers, guarantee outcomes, or replace diligence. It surfaces acquisition signals and the questions a buyer should ask next.
Public pages show the signal shape, score, multiple, profile, category context, and risk framing. Source links, seller details, financial proof, and deeper diligence sit inside the member brief.
Scored economics. Founder review. Honest catch. Member-only source detail.
DealsVector is for operators, micro-acquirers, and small-capital SaaS buyers who need a cleaner review queue: fewer signals, clearer economics, and sharper diligence questions.
Fewer listings. Clearer scoring. Stronger questions before deeper diligence.