GovDEETS — Business Overview & Decision Brief

TurboClientSystems, Inc. · Internal · August 16, 2026

A weekend, AI-run hackathon produced a working federal-award intelligence product. This brief lays out what it is, what it could earn, and what it would cost to find out — so leadership can make one decision: fund a 90-day push to MVP, or archive it now.

It is written to be presentable at every level: §1–§2 are the pitch, §3 is the engineering reality, §5 is the money, §7 is the decision. Nothing in here is aspirational without being labeled as such — the same rule the roadmap follows.

1. Mission, vision, and the one-sentence pitch

Mission. Give every federal contractor the memory the government doesn't keep — a complete, field-level history of every award and opportunity, at a price a small business can expense without a meeting.

Vision. Become the Bloomberg Terminal of federal award data: dense, fast, complete, and unglamorous on purpose — matching the enterprise incumbents on substance at roughly a tenth of their price, rather than carving out a niche where we never have to face them.

The pitch. Federal award data is public, free, and well-published — but it's scattered across four systems that don't agree on a schema, and every one of them shows only today. If a contract ceiling moved, a close date slipped, or an award shrank last Tuesday, that history exists nowhere unless you saved yesterday's copy yourself. GovDEETS polls the sources, normalizes everything into one table, and keeps the diff — then tells you when the specific thing you care about changes.

The diff is the product. Everything else is a nicer interface on data anyone can get.

2. The market gap

Three groups of buyers face the same problem from different directions: small and mid-size contractors chasing awards, subcontractors hunting for the primes who just won, and grant-seekers tracking opportunities. Today they choose between two bad options:

Why now. Two shifts make this buildable small: open-data mandates put the sources on real, documented, free APIs (USAspending is genuinely good), and the commercial tools consolidated upward into enterprise pricing — leaving the small contractors who are the majority of the market unserved. The ground also keeps moving: FPDS, the contract database for two decades, had its public site decommissioned in February 2026, and everyone who had built against it found out by breaking. Churn in the sources is a recurring sales event for whoever maintains the plumbing.

Market size, held loosely. Federal contract obligations run roughly $700B+ annually across hundreds of thousands of SAM.gov-registered entities, of which tens of thousands actively win prime awards in a given year — plus the grant-seeking nonprofit and research world on the other half of the data. We are not claiming a bottoms-up TAM; the honest claim is narrower and sufficient: the segment priced out of GovWin is far larger than the segment paying for it, and we only need hundreds of them, not thousands.

Figures are directional public-domain estimates for sizing the opportunity, not audited market research.

3. What the hackathon actually produced

This is not a slide-deck product. The following runs now, against 1,000+ real award records, with 86 automated tests and CI green — built almost entirely by AI agents across roughly two weekends of wall-clock time.

The honest summary: the hard, differentiating machinery exists and is tested; the last mile to a customer does not. Nothing leaves the browser yet, payment is simulated, and production has no database. Those are weeks of work, not months — but they are real work.

4. Objectives & goals

If funded — the 90-day objective

One sentence: get five external design partners using it weekly, with alerts that actually arrive. Concretely:

• Weeks 1–3 — close the last mile. Hosted Postgres in production, notification worker + email transport, Stripe live behind the existing mock interface, SAM.gov connector enabled.
• Weeks 3–6 — earn trust. Entity resolution v0 (same company across sources), removal detection, public status page — "we were watching" is a claim we must be able to prove.
• Weeks 6–13 — external pull. Five design partners from our own govcon network on free Closed Beta; instrument what they watch, which alerts they act on, and what they say when asked "would you pay $300/month."

12-month goals, if the 90-day gate passes

• Open Beta with self-serve signup; first paid conversions of design partners.
• 20+ paying organizations; CRM export/integration shipped (the top requested capability in this segment).
• API revenue from at least one integrator building on the version-history endpoint.

5. Business model & path to profitability

The data is free and public; we will never pretend otherwise. What's sold is the memory (normalized history nobody else kept), the attention (conditional alerts that don't cry wolf), and the plumbing (API + integrations into the tools a BD team already uses). Pricing is already modeled and enforced in the product:

Price points are working hypotheses to be tested against design partners in Beta — the tier structure is built; the numbers are not sacred. Ceiling discipline: whatever we charge stays well under a tenth of a GovWin seat.

Cost structure — why the margin math is unusual

The inputs are free government APIs. There is no data licensing, no scraping arms race, no per-seat vendor cost underneath us. At MVP scale the entire cash cost is hosting:

Cash breakeven is one Business customer or three Team customers. That is not the real bar — the real cost is founder and team attention, which this brief prices as the opportunity cost of the 90-day push. But it means this product cannot lose meaningful money while we find out. There is no scenario where GovDEETS becomes a cash sink; the only thing at risk is time.

Illustrative revenue scenarios — month 12 after MVP

Illustrative, not forecast: these show the shape of the P&L if the product finds pull, not a promise that it will. The Conservative row alone covers cash costs several times over.

The path beyond: the wedge is alerting; the expansion is becoming the system of record for a capture pipeline — CRM integration, teaming-partner discovery via entity resolution — which is where GovWin-scale contract values live.

Why we might actually win distribution

• We are the customer. TurboClientSystems is a small federal contractor with exactly this problem. Dogfooding is the current phase, not a slogan — and our govcon network is the design-partner funnel.
• AI-native build economics. The velocity is the moat-adjacent fact of this project: auth, RBAC, billing, a paid API, and a tested alerting engine shipped in a weekend of AI-run development. Incumbents carry enterprise-software cost structures; ours rounds to hosting fees. We can profitably serve customers they structurally cannot.
• The wedge is genuinely unserved. Field-level change history with conditional alerting isn't a cheaper version of what GovWin sells — it's a thing neither the free sources nor the incumbents offer at all.

6. Risks, stated plainly

The data is free — someone can copy this. True, and permanent. The defensible asset isn't access, it's accumulated history (which cannot be backfilled — you had to be watching) plus workflow lock-in once watches and integrations are configured. Every month of polling widens a gap a copycat cannot close retroactively.

Incumbents could price down or clone the feature. GovWin and BGov serve enterprise procurement with enterprise sales motions; cutting price 90% to chase small contractors would cannibalize their base. The most likely response is ignoring this segment — which is the thesis.

Distribution, not product, is where this dies. The genuine top risk. Small-business SaaS at $300/mo needs a repeatable channel, and we have a network, not a channel. This is exactly what the 90-day gate tests: if five design partners from our own network won't use it weekly for free, no marketing budget fixes that.

Source churn breaks connectors. FPDS's retirement proves it happens. Mitigated by per-request instrumentation already built — a broken connector is visible, not silent — and every breakage that hurts us hurts everyone maintaining their own spreadsheet pipeline more. Source churn is a churn event for DIY, a support ticket for us.

Team capacity — third product on a small team. Real, and not mitigated by cleverness. The AI-run model reduces build cost, not decision cost or support cost. The kill criteria below exist precisely so this doesn't become an unbounded attention drain.

7. The decision framework

The ask is not "commit to a business." The ask is fund a 90-day experiment with pre-agreed pass/fail criteria, at a cash cost under $1k/month, ending in a second go/no-go with actual evidence.

Go to MVP if, by day 90

• Our own capture team uses it weekly, unprompted — an alert changed at least one real bid decision.
• ≥5 external design partners onboarded, ≥3 still active in week 12.
• ≥3 credible would-pay signals at Team-tier pricing.
• Alert precision holds — partners tighten watches rather than mute them.

Kill it — without ceremony — if

• Our own team stops using it once the novelty fades. If we won't use it, nobody will.
• No alert changes any real decision in 60 days of dogfooding.
• Design partners try it and drift away — polite interest, no pull.
• Maintenance starts displacing revenue work on the other two products.

What "kill" costs us: almost nothing. The repo archives cleanly, the change history keeps accumulating for pennies if we want the option value, and the auth/RBAC/billing architecture built this weekend is directly reusable across WinDEETS and RunDEETS regardless. The downside is bounded; the information value of the experiment is not.

8. Recommendation

Run the 90-day experiment. The market gap is real and documented, the differentiator — history plus conditional alerting — is built and verified rather than theoretical, the cash risk rounds to zero, and we are ourselves the first customer: the cheapest possible way to find out whether the thesis holds. The kill criteria are written down above before anyone is attached to the outcome; if the evidence says stop, we stop, and keep the reusable architecture as the consolation prize.

What leadership is being asked to approve today: the 90-day plan in §4, the <$1k/month cash budget in §5, and the pass/fail gate in §7 — nothing more.

Prepared from the live repository state as of August 16, 2026. Product name "GovDEETS" is a working codename. Market figures are directional estimates; revenue scenarios are illustrative, not forecasts. Drafted by AI under direction of the project owner; all repository-state claims verified against the running system.