I built Acquisition Decision Engine because I kept seeing the same problem in SMB acquisitions:A deal can look interesting on the surface, but the buyer often does not have enough information yet to know whether it is actually financeable, durable, or worth pushing toward LOI. ADE is meant to be a first-pass discipline system before the expensive part of diligence begins. It is not a replacement for a lender, CPA, attorney, QoE provider, broker, or buyer judgment. The purpose is simpler:Help buyers slow down, organize the deal, identify missing information, and pressure-test whether the numbers support the story. ADE reviews a deal across areas like: Owner dependence Revenue durability SDE / EBITDA quality Asking price vs cash flow support SBA financeability Debt service coverage Buyer fit Operational risk Hard risk flags LOI readiness Questions that should be answered before moving forward One area I’ve been especially focused on is SBA reality. For many smaller deals, the business is only worth what the cash flow can support. So ADE includes an estimated SBA financing ceiling, DSCR view, estimated equity requirement, debt service estimate, and related warnings. To run a useful deal through ADE, the best inputs are: Asking price Revenue SDE or EBITDA Seller discretionary expenses / add-backs Owner role Customer concentration Revenue mix Recurring vs project revenue Any known financing terms Any CIM, teaser, listing, or broker notes available Any concerns the buyer already has ADE can still run with limited information, but the output will be more useful when the buyer gives it enough context to identify what is missing. Right now, I’m continuing to improve the system using real and realistic deal inputs from SMB buyers and searchers. The goal is not to make buyers more excited about deals. The goal is to help them avoid believing weak information too early. You can try it here:redacted