Who writes and reviews each tool
Each tool page lists its author and reviewer by name. The author drafts the model and the write-up; the reviewer — usually our Principal — reads the model, checks the output against known deals, and signs off before publication.
- Author: Avaz Bokiev (CTO) authors most of the calculators and the data tooling.
- Reviewer: Sukhrobjon (Rob) Ismoilov (Founder & Principal, J.D., Columbia LL.M.) reviews for accuracy and current market practice.
How we source numbers
Multiples and benchmarks are curated from three sources, in order of weight:
- Announced transactions with disclosed terms, cross-checked against public filings.
- Advisor confirmations: deals we or our network closed, with the operator's permission to anonymize and publish.
- Public datasets and research we cite in the sources section of each tool.
Every band ships with a sample size (n) so you can see how confident the number is. Numbers in the sub-500K EBITDA band move more; numbers in the $3M+ band have smaller samples but tighter ranges.
How we handle tax, legal, and advice-adjacent content
Tools in valuation, tax, and legal get an "advisory disclaimer" badge. Those tools are explicitly for scenario planning, not advice. For specifics on a deal, we always recommend a licensed advisor — a CPA for tax, an M&A lawyer for legal, and the Main Street Wealth advisory team for deal structure and buyer selection.
Review cadence
Each tool page carries a "published" and a "reviewed" date. Tools get re-reviewed at least annually, and whenever major market conditions change (e.g., a tax-rate change, a shift in Fed policy, or a visible movement in trade multiples).
Corrections
If a number is wrong, we fix it. Corrections ship in the public changelog. Report a correction via the GitHub issue tracker or by sending us a note.
Open source and open data
Code is MIT. Datasets are Open Data Commons Attribution. Legal templates are CC-BY. See the license and governance page for the full detail.
Standards we follow
- Google Search Essentials and the Search Quality Rater Guidelines, especially the Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) framework.
- Schema.org vocabulary for structured data (SoftwareApplication, Article, FAQPage, BreadcrumbList, Person, Organization).
- Web Content Accessibility Guidelines (WCAG) 2.2 AA where practical — semantic HTML, visible focus, color contrast, and keyboard support.