Methodology, data, and thinking.
How to value private companies, work with Czech registry data, and run a disciplined pipeline — plus the full valuation benchmark Misano works with, and essays by the founder. References carry an update date and stay current; essays carry their publish date.
Valuation multiples — the full benchmark, published
EV/EBITDA and EV/Sales bands for 82 NACE divisions and 62 curated niches — the numbers the Misano engine works with, in full, with evidence grades and machine-readable JSON.
Misano · Updated 3 July 2026How we value companies at scale
“NACE comparables don’t really work” — and yet we build on them. The full methodology Misano runs across 100, 500 or 10,000 companies at once: six layers, each fixing the blind spot of the one before it.
Misano · 4 July 2026How to value a private company: multiples and DCF, the Damodaran way
Two methods carry almost every SME valuation: a market multiple on normalized EBITDA, and a DCF as the intrinsic cross-check. Here is the full working method — including the discounts everyone forgets.
Misano · Updated 3 July 2026Czech company registry data: what is public and how to extract it
Czech companies are unusually transparent on paper: identity, ownership, and years of financial statements sit in public registries. In practice the data is scattered, scanned, and full of format traps. A field guide.
Misano · Updated 3 July 2026Running a deal pipeline: sourcing, screening, and scoring against your thesis
The difference between a dealflow and a pile of PDFs is a pipeline with explicit stages and one scoring model applied to everything. The method, sized for a team of one to ten.
Misano · Updated 3 July 2026Valuing companies with AI: when ChatGPT is enough — and when it isn't
You can paste financials into ChatGPT or Claude and get a passable first opinion. Whether that is enough depends on what breaks: scanned filings, unit-scale traps, inconsistent scoring, and re-paying for the same documents. An honest map.
Misano · Updated 3 July 2026How I compute the Score: five dimensions, the full breakdown.
The Score is one number, 0–100. Instead of leaving it a black box, I show exactly how it's built: five dimensions, what's computed by math and what the AI judges, and the whole thing worked through on a real company.
Marek Kříž · 17 June 2026How to pay 90% less to analyse one company than in your own Claude/ChatGPT.
I wanted to drive down one number: what it costs to analyse a single company. Here, on real numbers, are the four places Misano cuts the cost of AI — and what that means for you.
Marek Kříž · 17 June 2026