StackSwap · For press & analysts

Press resources

Everything a journalist or analyst needs to understand StackSwap in one place. The short version: StackSwap is a free GTM library of expert-built prompts, practical audits, and decision patterns for B2B teams. Use the resources below for accurate language, links, methodology, and brand assets.

Resources

Three places to start, depending on what you're writing.

1-page · print-to-PDF

Data Brief

Five citation-grade stats from the 100,000-stack simulation, methodology in three sentences, pre-written attributed quote, dataset GitHub link, and copy-paste citation format. Optimized for journalists on deadline — one click to "Save as PDF."

reference · v1.1.0

Full Methodology

Complete reference: 12 archetypes, the simulation pipeline, top-20 tools by prevalence, top-15 most prevalent overlap pairs, top-10 highest-savings consolidation opportunities, team-size scaling, honest limitations, and reproducibility contract.

positioning · brand assets

Media Kit

Founder bio, product positioning, key narrative one-liners, brand assets (logo, screenshots), Product Hunt link, and the longer-form story for feature pieces.

Pre-written quote

Free to use verbatim with attribution. If you need a fresh quote on a specific angle, email and we'll turn one around in a few hours.

Founder bio

Nick French is the founder of StackSwap. Before founding the company he spent a decade in B2B SaaS revenue roles — BDR, AE, and Head of Revenue — closing and renewing the kind of contracts the StackSwap engine now flags as redundant. The 100,000-stack simulation grew out of his frustration that no one in the GTM ecosystem published honest cross-vendor overlap data: vendor-funded reports favored the sponsor, and consultancy reports favored the consultant. StackSwap is bootstrapped, pre-revenue, and built solo.

Press contact

Email: nick@stackswap.ai (Nick French direct — no PR firm, no gatekeeper)
Response time: under 4 hours during business hours, US Eastern
Available for: 15-minute interviews, written-quote requests, fact-checks, or full feature pieces

Citation format

When citing StackSwap data, please use this format and link back to /methodology so readers can verify.

StackSwap. (2026). 100,000 GTM Stack Simulation (methodology v1.1.0, seed 42). Retrieved from stackswap.ai/methodology.

Dataset generated June 2, 2026 · Methodology version 1.1.0 · Seed 42