FAQ
Frequently asked questions
Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
How do buyers value an AI-run solo business?
Standard multiples still apply (3-6x ARR for SaaS, 2-4x SDE for services/content, sometimes higher for strong brands). The AI-team aspect is mostly neutral or slightly positive — it reduces key-person risk if well-documented, but some buyers worry about model dependencies. Transparent documentation of the AI workflows raises valuation; treating it as a black box lowers it.
Who buys solo businesses?
Four buyer types: (1) Strategic acquirers — competitors or adjacent tools, often pay highest multiples. (2) Micro-PE / rollups — Tiny, Constellation, SureSwift, Saas.group, 2-4x ARR typical. (3) Individual operators on Acquire.com / Flippa — often cash buyers at 2-3x SDE. (4) Former employees / contractors who know the business. Strategics usually pay most; micro-PE is fastest and cleanest.
Do I need a broker?
For businesses over $2M: usually yes, M&A broker at 5-10% of deal value. For $500K-$2M: platforms like Acquire.com or Empire Flippers at 10-15%. Under $500K: DIY on Acquire.com with light legal help. The broker earns their fee by creating competitive pressure, which often adds 20-40% to the deal.
What about earn-outs and seller notes?
For solo businesses, prefer cash at close. Earn-outs rely on the buyer growing the business your way, which you don't control after closing. If unavoidable: cap earn-outs at 20-30% of total price, tie to metrics you can verify (revenue not EBITDA), max 24 month duration. Seller notes (you lend the buyer part of the price) should be secured against the company assets.
How long is the founder transition period?
Cleanest: 30-60 days. Longer (90-180 days) for businesses with key customer relationships or complex tech stacks. An AI-documented operating system cuts transition time significantly — buyer's team can pick up the AI workflows without you having to teach them. Some solo operators report exits with 14-day transitions when the AI team did most of the institutional memory.