StackSwap OS · The engine · How it works
Four layers, stacked. That’s the moat.
StackSwap OS isn’t a contact database with a search box. It’s four data layers stacked into one answer: what a company runs, what it costs them, who to call, and how well they fit your wins — each layer evidenced, not inferred from a homepage scrape.
Founding Operators lock a lifelong founding rate. The first three layers are the database you query today; the fourth is the model that compounds as customers connect their CRMs — and founders start training it first.
- Layers
- 4 stacked
- Stack signal
- Evidenced
- Coverage
- 12M+ companies
- Validation
- Before the credit
The engine
The first three layers are the database. The fourth is the moat.
The first three layers are the database you query today; the fourth is the model that improves as customers connect their CRMs. Each layer is evidenced, not inferred from a homepage scrape.
- 01Stack detection · What they run
Layer 1, stack detection. TheirStack job-post technographics across 12M+ companies and 55K+ tracked tools. Real signal pulled from what teams staff around, not a script-tag guess that goes blind the moment a tool is backend, internal, or security. Inferred technographics carry a 15-to-20-point claimed-versus-measured accuracy gap; job-post signal is observed, not modeled.
TheirStack · job-post technographics
- 02Displacement engine · What it costs them
Layer 2, the displacement engine. 132 overlap pairs mapped across a 451-tool priced catalog. For a given company we don’t just label the stack — we compute the monthly dollars recoverable and name the specific replacement angle. That turns a data point into a quantified reason to call.
132 overlap pairs · 451-tool priced catalog
- 03Person layer · Who to call
Layer 3, the person layer. From People Data Labs’ 3.2B-profile graph we pull the buying committee by domain, filtered to the seniority that signs: RevOps, VP Sales, CMO, CRO.
People Data Labs · 3.2B profiles
- 04Buyer model · How well they fit your wins
Layer 4, the buyer model. Proprietary, and forward-designed to train on opted-in customer CRM win/loss data — so it learns what closes and what stalls for your motion. It scores each lead into a fit band and sharpens as more CRMs connect. This layer compounds over time; it is not a pre-baked corpus we claim today.
Proprietary · opted-in CRM win/loss
Stacked, the four layers return one answer — not a list to go work.
What they run, what it costs them, who to call, why they’ll pick up — already computed.
The methodology gap
Why job-post signal beats inferred technographics.
Inferred technographics are a guess sold as a fact: a script-tag scan that goes blind on anything backend, internal, or security, carrying a 15-to-20-point claimed-versus-measured accuracy gap. StackSwap OS reads what teams actually staff around — evidenced per company — and puts email verification in front of the credit meter.
- Inferred technographics: a script-tag guess that goes blind on backend, internal, or security tools
- 15-to-20-point claimed-versus-measured accuracy gap, modeled not observed
- No deliverability check — the data vendor bills you for the bounce
- A contact and a filter, but never the reason anyone picks up
- Job-post technographics: observed from what teams actually staff around
- Each company carries the redundant tool + the monthly dollars recoverable
- Email verified at pull time — NeverBounce real-time, MillionVerifier bulk
- A dollar-denominated reason to call, plus a fit score against your wins
Observed, not modeled. Verified, not billed for the attempt.
Over all four layers sits the validation gate. You pay for truth, not attempts.
Email-verified, stack-confirmed, charged only on a validated match — no match, no charge.
The validation gate
One gate over all four layers.
Every lead is email-verified before a single credit is charged. Single-lead pulls run through NeverBounce in real time; bulk list enrichment runs through MillionVerifier. Neither TheirStack nor People Data Labs verifies deliverability — that gap is exactly where most data vendors quietly bill you for a bounce. We add the verification layer ourselves and put it in front of the meter.
What “validated” means
The email is deliverable, the company is confirmed running the tool, and the record matches the tier and tools you set. Near-misses are eaten, not billed.
Charged only on a match
Top-tier stack intel is 3 credits, stack-aware is 2, a raw validated contact is 1, and a no-match is 0 — always free. You never pay for a bounce or a phantom contact.
Verified on pull
The preview count is an estimate; on pull we verify and silently top up to hit the requested count, charging only the leads that clear.
The corpus
This is a data company. Here’s the corpus output.
Every validated pull sharpens the same corpus the four layers read from — and Layer 4 compounds as more CRMs connect. The public face of that flywheel is the data we publish: read it yourself, then judge the bar.
The data brief →
The running read on what the GTM stack actually looks like, pulled from the corpus.
State of the GTM Stack 2026 →
The flagship annual report — what teams run, what it costs, where the overlap is.
The GTM stack benchmark →
Benchmark a stack against the corpus: spend, overlap, and recoverable dollars.
Contact vendors sell you the volume of a guess and bill you for the attempt.
StackSwap OS competes on intelligence — G2, Bombora, 6sense — not contact volumeWhy trust this
No customer logos. Here’s the real proof.
Built by an operator, in the open
10+ years in B2B SaaS GTM, BDR to Head of Revenue. StackSwap OS is the system I’m building to run my own motion — the engine disclosed in public, not buried in a pitch deck.
Methodology, not a black box
Every number here is sourced: TheirStack for the stack read, People Data Labs for the committee, a 451-tool priced catalog for the dollars. Counts are conservative — 8 primary tools — so the full set is larger.
The free tools already work
The Swap flow, the AEO Audit, and the MCP are live and free right now — the same intelligence layer, on-ramp scale. Judge the bar yourself before you join.
Questions
The engine, answered
What are the four layers in the StackSwap OS engine?
Layer 1 is stack detection — TheirStack job-post technographics across 12M+ companies and 55K+ tracked tools, observed from what teams staff around rather than a homepage scrape. Layer 2 is the displacement engine — 132 overlap pairs mapped across a 451-tool priced catalog, which computes the monthly dollars recoverable and names the specific replacement angle. Layer 3 is the person layer — the buying committee pulled from People Data Labs' 3.2B-profile graph, filtered to RevOps, VP Sales, CMO, and CRO seniority. Layer 4 is the buyer model — a proprietary scoring layer that trains on opted-in customer CRM win and loss data and sharpens as more CRMs connect. Together they return one answer: what a company runs, what it costs them, who to call, and how well they fit your wins.
Where does the stack data come from, and is it real or modeled?
The stack signal is real, not modeled and not homepage-scraped. StackSwap OS reads job-post technographics from TheirStack across 12M+ companies and 55K+ tracked tools. On top of that, a displacement engine computes 132 overlap pairs across a 451-tool priced catalog, so each company comes with the specific redundant tool and the monthly dollars recoverable by replacing it. The person layer comes from People Data Labs' 3.2B profiles, pulled by domain and filtered to RevOps, VP Sales, CMO, and CRO seniority.
Why is job-post signal better than inferred technographics?
Inferred technographics are a script-tag guess that goes blind the moment a tool is backend, internal, or security — and they carry a 15-to-20-point claimed-versus-measured accuracy gap because they are modeled, not observed. Job-post signal is observed: it reads what teams actually staff around, per company, so the stack read is evidenced rather than inferred. On top of that, StackSwap OS verifies email deliverability at pull time, a layer the underlying data vendors do not provide, so you never pay for a bounce.
What is the buyer model, and does it actually score my leads?
The buyer model is a proprietary scoring layer designed to train on opted-in customer CRM win and loss data — it learns what closes and what stalls against your own pipeline, not a generic industry average. It scores each lead into a fit band, and a 75+ fit is part of what makes a lead top-tier. The model is forward-designed to improve as more customers connect CRMs; it is the layer that competes with G2, Bombora, and 6sense on intelligence, not with Apollo on contact volume.
What does "validated" mean, and when do I get charged?
Validated means three things are true before a single credit is charged: the email is deliverable, the company is confirmed running the tool, and the record matches the tier and tools you set. StackSwap OS verifies deliverability in real time with NeverBounce on single-lead pulls and MillionVerifier on bulk list enrichment — a layer that TheirStack and People Data Labs do not provide. If nothing matches, you are charged zero credits. You never pay for a bounce or a phantom contact.
How big is the addressable database?
StackSwap OS tracks 12M+ companies (733,000 in the US). Within that, 370,000+ companies have a mapped stack, and 130,000+ companies have an active displacement opportunity — roughly 685,000+ decision-makers attached to a quantified reason to switch. These figures are pulled live from TheirStack and are deliberately conservative: they cover only the 8 primary tools, while the full 451-tool catalog is larger.
Run the engine
See the four layers on your own targets.
Point StackSwap OS at a signal or bring your list, and the four layers return the answer — what they run, what it costs, who to call, and the fit. Every record email-verified and stack-confirmed before a credit moves.
While you wait
Start with the free tools
The free tools are the same intelligence layer at on-ramp scale — they show you how companies read your site, what a stack looks like from the outside, and where the gaps are. Use them now; StackSwap OS is where you turn that into the answer.
The vendors selling contacts behind a search box can’t tell you why anyone picks up. Four evidenced layers can. See the engine in StackSwap OS.