SSandbox

We build and run your
Go to Market engine.

Then we fund what it proves. Sandbox runs real go-to-market for operators, scores the demand, and deploys capital only into what's proven. Live today on our own paying clients.

Live across the channels that win: websites, AI search, LinkedIn, content.
SSandboxConfidential · do not distribute
01Company Purpose

GTM signal predicts which ideas make money. We sell the proof.

We run cheap, fast market experiments on go-to-market ideas (landing pages, outbound, AI search, content) and deploy operators and capital only into the concepts the market has already paid for.

SSandboxCompany purpose
02Proof / Traction

We already run this engine.
For paying clients.

One thesis, proven three times: an established company with real results and a weak market presence. Same problem, same engine.

Anchor · on retainer

UMS

Sandbox runs the full GTM engine: website, AEO and SEO, content, distribution, reporting. UMS brings 25 years of named proof, including $800M+ saved for the City of New York across 80+ agencies.

Signed scope

MX3

Hospitality beachhead. A cost-recovery firm whose clients include Hyatt, Marriott, Hilton, Walmart and Capital One, and who is invisible in search. We make them findable.

Signed scope

Urbana

NYC market entry on Local Law 97. A decade-old building-optimization product. We build and run the North American site, AI-search presence, and executive LinkedIn.

Terms

Subscription, not a project

Engagements run $10K/mo, live in month one, compounding every month after. Every client doubles as live R&D for the product.

Why it matters: the engine is not a slide. It is generating revenue today, and every client program is a measured experiment feeding the dataset.

SSandboxProof / traction
03Problem

Businesses are built on guesses.
Capital pays for the misses.

Validation arrives after commitment: after the build, after the hire, after the check. Everyone in the chain eats the cost.

The over-builder

Spends six months building before talking to a single customer, then learns there was no demand.

The B2B operator

Still the GTM person themselves. Can't afford a $450K SDR-and-marketer pair, can't ramp one in six months.

Today's two options

The AI SDR is slop with a quota. The agency is templated work with a markup. Neither produces demand evidence.

The investor

Pre-seed is underwritten on narrative and founder charisma. Roughly 1 in 10 bets reaches meaningful revenue.

How it's handled today

Accelerators select on founders, not measured demand. Agencies sell hours. GTM tools execute but don't decide. Venture studios bet their own ideas.

What they all miss

None of them produce quantitative demand evidence before the money goes in. The market's answer always arrives after the spend.

SSandboxProblem
04Solution

One engine. Idea to cash flow.

Test an idea against the real market for hundreds of dollars, not months of build. Advance only what converts. Fund only what's proven.

1 · TEST

Intake and experiments

The engine drafts angles and ICP variants; landing pages, outbound, AI search and content gather real demand data.

2 · SELECT

Validation score

Click-through, reply rates, bookings, price acceptance. Live scoring separates signal from noise.

3 · DEPLOY

Operators and capital

Validated concepts get matched to operators and playbooks. Capital follows the proof, not the pitch.

4 · SCALE

Cash-flowing portfolio

Winners compound into a portfolio. Every experiment feeds the engine that runs the next one.

Why it works

The system does 80% of the work. A real operator nails the last 20% that wins the client. Agentic-only isn't good enough: AI needs human taste and judgment, and the client wants a person who owns the outcome.

Why it's ours to win

First to put validation, operator enablement, GTM intelligence and capital in one loop. Dogfooded daily on paying clients, so the product ships only after it has worked.

Why it compounds

We own the whole stack, so all of a client's context lives in one place. One meeting transcript becomes a page, a LinkedIn post and a newsletter in minutes, not a hand-off across 20 tools that don't talk. Every run sharpens the system, and software going to zero only widens the gap.

SSandboxSolution
05Why Now?

Validation just got 100x cheaper.
Capital still prices risk like it didn't.

Testing is finally cheap

What took an agency a quarter (landing pages, copy variants, outbound, ad tests) now takes hours. Testing every idea is rational for the first time.

Operators want out

Millions of skilled operators want to start something, and the same wave that gives them the tools is taking the jobs they would leave.

Capital needs signal

PE, search funds and corporates are sitting on capital they need to deploy on evidence, not narrative.

Distribution is the edge

Product moats are eroding. Execution and distribution are the advantage now, which is exactly what Sandbox systematizes.

Why hasn't this been built? Until this AI generation, one credible market test cost too much to run thousands of them. The engine only became buildable in the last 24 months.

SSandboxWhy now
06Market Potential

Wedge into B2B operators and agencies.
Expand to anyone starting a business.

Wedge · now

Operators and agencies

Established service and consultancy firms with marquee clients and almost no digital presence: the UMS and MX3 archetype, the lawyers and cost-saving consultants run by operators with no in-house marketing and no time to build it. The segment we already sell retainers to, and the ICP the closest funded competitor won't serve.

Expansion

The validation layer

Search funds, PE and corporate venture buying validated deal flow. Founders at the top of the funnel on free and prosumer tiers.

End-state

Market we invent

Quantitative pre-seed underwriting. A market that doesn't exist yet, the way storefront-for-anyone e-commerce didn't exist before Shopify.

The Shopify pattern

Before Shopify, selling online meant $20K of developers and months of setup, so only funded businesses did it. After, it was $29/mo and a few hours. Before Sandbox, validating a business takes $5 to 50K and marketing expertise. After, anyone starts in minutes, with a measured path to capital. YC selects on founders. Sandbox selects on measured demand. The math: $100M ARR is roughly 42K customers at a blended $200/mo (illustrative), under 1% of even a conservative operator TAM.

[illustrative] blended pricing and TAM penetration are model assumptions. See Financials for the proof milestones that replace them with data.

SSandboxMarket potential
07Competition / Alternatives

Everyone touches a piece.
Nobody runs the loop.

AlternativeWhat they doWhat they don't
Monaco ($85M+ from Founders Fund and Benchmark; Sam Blond, ex-Brex CRO)AI revenue platform plus a forward-deployed AE for funded founders. $25K/yr, annual, upfront (GA pricing slated to roughly double).No validation before capital. Won't serve agencies (their words: "can't think of a good agency demo"). No case studies, no SLA, no pilot.
YC & acceleratorsSelection, network and capital at scale.Select on founders and narrative, not measured demand.
Venture studiosBuild companies from internal ideas.Concentrated portfolio risk, no external validation engine, fund-economics drag.
Agencies & GTM toolsExecute campaigns, sell hours or seats.Execute decisions they don't make, and keep none of the learning.

Win · flank

Own the operator and agency ICP the funded-founder players won't touch.

Win · proof

Validation-gated capital with hit-rate data. Monaco's proof is social. Ours is evidentiary.

Win · moat

Cross-vertical GTM dataset no single-client agency or single-portfolio studio can match.

SSandboxCompetition
08Business Model

SaaS for reach. Services for revenue.
Equity for the upside.

STEP 1 · REACHValidation engine SaaS
Free and low-cost tiers (free, $99 prosumer, $499 operator, $2 to 5K teams) get broad reach and distribution. Thousands of operators run cheap experiments. The top of the funnel.
free → $2 to 5K tiers
STEP 2 · UPSELL · live todayConsulting retainers
The serious ones upgrade to done-for-you GTM at $10K/mo. UMS, MX3 and Urbana live today. Cash now, plus the dogfooding data and playbooks that become product.
$360K ARR at plan (3 clients)
STEP 3 · UPSELLMarketplace
Clients in the network refer and transact with each other, and Sandbox clips a cut of what flows between them, plus take rate on the services layer and operator-matching fees.
~15% take (illustrative)
STEP 4 · OWN THE WINNERSCapital pool
We take equity or revenue share in the most successful businesses, $50 to 250K per deployment, top ~5% of tests advance. Returns on their growth and acquisitions fund the next round of experiments.
stake × winners × exits
$ the flywheel to $100M ARR (illustrative): broad SaaS reach feeds the upsell; the recurring base of $10K/mo retainers and marketplace take builds toward $100M; equity in the top ~5%, plus returns on their acquisitions, is the multiplier on top. Validation moves the pre-seed hit rate from 1 in 10 to 1 in 3. (model, to be proven by the milestone ladder)
SSandboxBusiness model
09Team

We've run this playbook.
On our own companies.

Co-founder · Product & Systems

Edgar Li

Software engineer turned founder. Built Presscart to 2,000+ clients, 5,600+ articles across 1,500+ publications. Builds Sandbox's validation engine and GTM AI, and owns the product, the systems and the experiment methodology.

Co-founder · Sales & Capital

Rob Luchars

Closer and operator. Runs revenue at Source Forward (commercial energy, NYC) and sales across Sandbox's client portfolio. Closed Sandbox's first retainers through warm intros and relationships. Owns the investor network.

Why this team

One founder builds the engine, one proves the motion. Our first customers were ourselves: every Sandbox feature ships only after it has closed real revenue for a real client. We scale delivery through growth operators: each runs a book of client accounts on the system for base plus commission, with full ownership of the client's GTM. The system does 80%, they own the 20%. Our first operator starts this week, funded from retainer revenue and scaling with the raise.

SSandboxTeam
10Financials & The Ask

The math to $100M,
year by year.

Our bar before we scale: prove the engine can manufacture a $100M business at a known cost and hit rate. The funnel compounds, reach feeds the upsell, the upsell feeds the stakes.

Revenue streamY1Y2Y3Y4Y5
SaaS reach, ~$200/mo blended$0.2M$1.5M$8M$25M$45M
Retainers upsell, $10K/mo$1.2M$4.8M$12M$20M$30M
Marketplace ~15% of GMV$0.5M$3M$10M$20M
Capital pool equity + exit returns$1M$5M$15M
Total revenue$1.4M$6.8M$24M$60M$110M
$20–30M ask

Use of funds (24 mo): team and the reach engine, a $3 to 5M experiment budget (2,000+ tests), a $6 to 10M capital-pool seed (60 to 80 deployments), and GTM.

Proof milestones

Engine GA and first 25 SaaS customers (+2 qtrs); first 10 capital deployments (+4 qtrs); hit rate 2x the pre-seed baseline at N of 30+, which opens LP capital (+6 to 8 qtrs).

[illustrative] a driver-based planning model (client count, paid subs, GMV, hit rate), not a forecast. Today: 3 retainers live (UMS, MX3, Urbana), product in market, first growth operator onboarding.

SSandboxFinancials & ask
11Vision

In five years: the default place
a business gets to market.

  • A self-improving GTM engine trained on millions of experiments across every vertical, raising the hit rate of every operator on it.
  • Hundreds of cash-flowing businesses each one validated before it was funded, each one feeding the engine.
  • A new asset class early-stage businesses underwritten on demand signal, not narrative, open to capital that could never touch pre-seed before.
  • The Shopify outcome people who could never "do GTM" starting real businesses, because proof got as cheap as an idea.
SSandboxVision