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Exclusive, continuously compounding property intelligence for the listing agents who actively farm defined local markets.
Farms is an intelligence-powered efficiency platform for listing agents who actively farm defined local markets. Each Farm is a small, recognizable real-estate micro-market and has only one active Subscriber.
The loop. Farms continuously monitors real-world Events and property facts, resolves them to owners and Parcels, and builds an evolving intelligence record for every property in the Farm. The objective is not more outreach — it's better allocation of scarce time, attention, relationships and marketing spend.
The trigger. Events accumulate against the property record. Most simply deepen what Farms knows; a major Event — or the cumulative interaction of several Events and existing context — can make a property meaningfully more worthy of attention and generate a Signal.
Not just alerts. Even without a dramatic Event, every property keeps evolving: ownership tenure lengthens, owner and mailing-address context changes, properties age, structural or ownership characteristics shift. Farms continuously updates that story for the Subscriber.
Delivery is Push + Pull. Pull is the full intelligence environment: search, filter, rank, explore property histories and export across the Farm. Push brings the Farm to the Subscriber through periodic intelligence briefings, with immediate alerts reserved for genuinely notable Signals.
Property intelligence is already an established software category: agents and investors pay for seller-propensity tools, farm products, property data and homeowner intelligence today. Farms isn't testing whether buyers exist, or whether the product can be built — it's testing a narrower formulation: whether ultra-local depth, exclusivity, longitudinal intelligence and Push + Pull delivery create enough value for one listing agent to keep paying for one Farm.
A working demo already exists. Five Farms are live with real Palm Beach County property and owner data, a functioning property-level intelligence model, Dashboard and Property Detail experience, and one live feed. The next build is to harden the architecture and add richer Event sources modularly — not to prove that the core product concept can be built.
The architecture. The core backend, front end, parcel/owner model, matching framework, Event model, interpretation layer and Subscriber experience are built once. Palm Beach County is the first modular ingestion implementation: source-specific adapters normalize PBC feeds into the same canonical model. A new feed should usually mean another adapter, not another product build; a new county should likewise mean county-specific parsers and source connections feeding the same core platform.
The moat. That architecture is real, but it isn't the moat. The moat is entity resolution: correctly matching the same person and the same property across county deed records, probate and civil court filings, code-enforcement and permit data, and inconsistent mailing addresses — when names are misspelled, ownership sits inside a trust or LLC, and addresses change over time. AI-assisted coding compresses how fast the surrounding platform gets built; it does not compress the work of designing that resolution and confidence-scoring logic, or the judgment needed to be accountable for whether it's actually right.
The gap, honestly. This is also where the product is least proven today. The specific technical problem a co-founder would own is the design of, and ongoing accountability for, match precision and Signal quality (Section 10) — not a build-it-and-hand-it-off contract.
The real number. Primary county data is still inexpensive relative to enterprise data budgets, even once court feeds are included. PBC Official Records runs about $600/year; PBC Clerk Cart — the court-filing feed covering probate, civil and foreclosure records — adds roughly $250/month, or about $3,000/year. Combined, primary Palm Beach data costs approximately $3,600/year. No primary county source identified so far requires enterprise-scale recurring data spend.
Targeted acquisition. Florida Realtor contact data and production statistics identify leading agents by ZIP, development and local market — a practical proxy for the best prospective Subscriber for each Farm. Early outreach can therefore be narrow, personalized and inexpensive.
Single-Farm exclusivity sounds restrictive, but inventory is highly fragmented.
Those purchases don't require 1,000 unique agents — successful Subscribers may own several Farms. Exclusivity therefore creates genuine scarcity and differentiation without necessarily sacrificing meaningful scale.
Florida is fragmented into thousands of natural real-estate micro-markets. Our current commercial estimate is roughly 11,000 viable Farms statewide.
| Tier | Counties | Approx. Farms |
|---|---|---|
| Palm Beach | Palm Beach | ~1,000 |
| Next 5 | Miami-Dade, Broward, Hillsborough, Orange, Duval | ~4,000 |
| Next 15 | Pinellas, Lee, Polk, Brevard, Pasco, Volusia, Seminole, Osceola, Sarasota, Manatee, Lake, Marion, Collier, St. Lucie, St. Johns | ~4,500 |
| Remainder | Remaining 46 counties | ~1,500–2,000 |
| Florida | 67 counties | ~11,000 |
Farm count is a modeled commercial estimate and will be refined as real boundaries are mapped. The point is scale: Florida alone can support thousands of exclusive subscriptions.
Expand where the data is easiest to operationalize — not simply where the population is largest. The governing metric is recurring revenue opportunity per new adapter built.
Statewide standardized parcel dataset across all 100 counties; eCourts statewide as of October 2025.
Statewide standardized parcels, statewide land-record portal and centralized court/probate access.
Free statewide standardized parcel database and statewide circuit-court system.
Strong statewide deeds, liens, plats, transfer-tax and sales access through GSCCCA.
Good recorder access and relatively centralized court data, although land recording remains county-centered.
Initial market. County-by-county public-data integrations establish the reusable operating model.
Farms are deliberately small. ARPU should grow primarily through Subscribers acquiring multiple Farms, not by enlarging boundaries. Individual Farms should generally be inexpensive enough to behave like an easy-to-retain sidecar utility; premium pricing remains possible — and intended — where a specific Farm supports it.
Pricing is two-tier: $399/month for luxury Farms (country-club, gated and waterfront micro-markets, where a single referral or listing can be worth six figures to the agent) and $99/month for standard Farms elsewhere. Exclusivity reinforces both tiers the same way: once another agent claims a Farm, it's unavailable, which creates a reason not to defer regardless of price point. The first ~25–50 sales should remain founder-led and privately negotiated for price discovery and product learning — including confirming the actual luxury/standard mix and price sensitivity at each tier.
Sanity check only — not a forecast. Assume 1,000 sellable Farms split roughly 25% luxury / 75% standard (~250 / ~750), $399/mo and $99/mo respectively (a ~$174 blended rate), and approximately $100,000 all-in upfront launch cost. The luxury/standard split is a modeled assumption, not a measured one.
| Uptake | Luxury occupied | Standard occupied | Monthly | ARR |
|---|---|---|---|---|
| 40% | 100 | 300 | $69.6k | $835k |
| 50% | 125 | 375 | $87.0k | $1.04m |
| 60% | 150 | 450 | $104.4k | $1.25m |
At the blended ~$174/month rate, about 48 occupied Farms — under 5% of a 1,000-Farm county — produce ~$100,000 of ARR. At 40% uptake, illustrative ARR is ~$835k; at 60%, ~$1.25m.
The same framework can be extrapolated across the current working estimate of approximately 11,000 viable Farms statewide, holding the same 25% luxury / 75% standard mix and $399/$99 pricing. This remains a sanity check rather than a forecast.
| Uptake | Luxury occupied | Standard occupied | Monthly Revenue | ARR |
|---|---|---|---|---|
| 20% | 550 | 1,650 | $382.8k | $4.59m |
| 30% | 825 | 2,475 | $574.2k | $6.89m |
| 40% | 1,100 | 3,300 | $765.6k | $9.19m |
| 50% | 1,375 | 4,125 | $957.0k | $11.48m |
| 60% | 1,650 | 4,950 | $1.148m | $13.78m |
Same 25% luxury / 75% standard mix (~$174 blended) applied uniformly by tier — a simplification, since luxury concentration likely varies by county.
| County group | Modeled Farms | 40% occupied | ARR at $174 blended |
|---|---|---|---|
| Palm Beach | ~1,000 | ~400 | ~$835k |
| Miami-Dade, Broward, Hillsborough, Orange, Duval | ~4,000 | ~1,600 | ~$3.34m |
| Next 15 counties | ~4,500 | ~1,800 | ~$3.76m |
| Remaining 46 counties | ~1,500–2,000 | ~600–800 | ~$1.25m–$1.67m |
| Florida total | ~11,000 | ~4,400 | ~$9.19m |
For under $100,000 in cash costs — with a technical co-founder owning the resolution and interpretation engineering rather than a contractor renting time — Farms should be able to harden the existing product into a commercial V1, close the entity-resolution gaps described in Section 4, add the priority Palm Beach feeds modularly, and put it in front of the exact agents most likely to buy it.
The economics in Section 8 are a floor, not a ceiling. At the $399/$99 pricing, a single-county launch already clears seven figures of ARR above 50% uptake, and the modeled statewide mix crosses into eight figures at higher uptake. A team that closes the resolution gaps and pushes distribution across Florida and the next five expansion states (Section 7) is underwriting a venture-scale outcome, not settling for a bootstrapped annuity.
This isn't a list of open risks — it's the roadmap a technical co-founder owns from day one. Every Farm already continuously accumulates and updates property intelligence. The job is making sure Farms interprets and presents that intelligence with enough accuracy, relevance and novelty that an experienced listing agent becomes materially better informed about the Farm, changes where they allocate attention, and keeps paying for exclusive access — and instrumenting the pipeline well enough to prove it.