StackSwap · For press & analysts

Press resources

Everything a journalist or analyst needs to write about StackSwap in one place. The short version: we modeled 100,000 B2B SaaS GTM stacks, found that 81.66% contain at least one redundant tool pair, and open-sourced the methodology. Pre-revenue, founder-built, reproducible from one command.

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 · v1.0.0

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 v1.0.0, seed 42). Retrieved from stackswap.ai/methodology.

Dataset generated May 6, 2026 · Methodology version 1.0.0 · Seed 42