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Proof of Work

Everything on this site was built in 72 hours from public data sources and a 30-day API trial. Total cost of data acquisition: $0. This isn't a mockup.

Five Steps to a Working Scorecard

Each step below built on the last. No shortcuts, no synthetic data, no assumptions. Every number on the Sellers and Agents pages comes from this pipeline.

Step 1 — Agent Credentials (MREC)

Navigated the Maine Real Estate Commission's license lookup portal. Selected Cumberland County and York County. Downloaded full active agent rosters as CSV exports. Parsed into a SQLite database with license type classification, brokerage clustering, and expiration tracking.

This is Layer 1 of the data pipeline — the credential foundation. Every agent on the scoring table is verified against this database.

Result: 3,730 agents249 brokerage offices95 Gorham-based agents across 8 offices

Step 2 — Property Sales (Gorham Assessor)

Built a custom scraper for the Vision Government Solutions assessor portal (gis.vgsi.com/gorhamme). Reverse-engineered the ASP.NET form submission — the search requires all 10 property type checkboxes and all 44 style checkboxes to return results. Most automated tools miss this and get zero data back. Paginated through the full results set. For each sale, fetched the parcel detail page to capture owner name, assessed value, year built, use code, deed references, and full ownership history.

This is Layer 2 — transaction verification. The assessed values and sale prices shown in the sample Intelligence Report come directly from this data.

Result: 220 verified Gorham sales (2020-2026)Full parcel details for every recordOwnership chains going back decades

Step 3 — Property Valuations (ATTOM API)

Activated the ATTOM Data Solutions developer portal. 82 API endpoints available on a 30-day free trial. Built an automated property puller that systematically requested AVM Detail for Gorham properties at a paced 1 request/second. Captured automated valuations with confidence scores and value ranges.

This is Layer 3 — property valuation. The AVM estimates on the Sellers page are real ATTOM values, not fabricated examples.

Result: 915 Gorham properties with AVMsAvg value: $568,285Avg confidence: 83/100

Step 4 — Agent Attribution (Cross-Reference)

Downloaded 350 sold Gorham properties from Redfin with MLS numbers and listing URLs. Manually verified the listing agent and brokerage for 30 curated properties by clicking through to each Redfin detail page. Cross-referenced every agent name against the MREC database — 79% matched to a specific Maine license number, license type, and expiration date.

This is Layer 4 — agent attribution, and the hardest step. Closing this link — from "a house sold" to "this agent sold it" — is what makes the scorecard real. At V2, ATTOM Nexus automates this entirely.

Result: 30 agent-attributed transactions24 unique listing agents19 confirmed MREC license matches

Step 5 — The Scorecard

For each attributed agent, computed the sale-to-assessed ratio across their verified transactions. Cross-referenced license type and brokerage city against MREC. Applied the ratios to a sample property's assessed value to show the dollar impact of agent selection.

The scorecard on the Product: Sellers page uses entirely real data — real agents (anonymized), real ratios, real spreads. The ranking signals on the Agents page describe exactly how these scores are computed.

Result: 41-point spread between best (136%) and worst (95%) performing agents$205K+ difference applied to a $500K home

What This Proves

The Data Exists

Agent credentials, sale prices, property valuations, and listing attribution are all available from public and commercial sources. No brokerage relationship required. No MLS membership needed. The pipeline works.

The Pipeline Is Buildable

A working prototype — scraper, database, cross-reference engine, and scorecard — was built in 72 hours by one person. The technology isn't the bottleneck. The data isn't the bottleneck. The only bottleneck is deciding to go.

The Signal Is Real

The 41-point spread between agents isn't a theoretical exercise. It's measured from verified public records. On a $500K home, that spread is $205,000. The seller who chooses Agent A over Agent D walks away with a life-changing difference. That's the product.

The Cost Is Zero

Every data source used in this prototype was free (government records) or trial-access (ATTOM). The entire V1 intelligence layer was built without spending a dollar on data. Production ATTOM access adds $100-500/month — funded by the first two agent subscriptions.

FROM ZERO TO WORKING SCORECARD
72 hours • $0 data cost
3,730 agents • 220 verified sales • 915 AVMs • 30 attributed transactions • real scorecards

A Different Kind of Founding Story

Carson Lynch

Founder
  • Expertise earned through Gorham, ME coffeehouse stewardship, Rocket Fuel™ bottled coffee drink invention and production, and the founding of Flo the Coffee Truck (all 2005-2020)
  • Now, Carson takes pride every day in earning new client loyalty as a Home Improvement Coordinator at LaPlante Home Services of Scarborough, ME
  • The vision that sellers deserve an advocate who isn't paid to sell their house
  • The instinct to tie this "working class hero" disruptive concept to the Angi marketplace model
  • The hands that clicked through 30 Redfin listings on a Saturday afternoon because the data mattered more than the shortcut
  • Every strategic decision on this site
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Claude

Anthropic
  • Architected the business model, legal framework, and marketplace structure across three collaborative sessions
  • Reverse-engineered a government assessor portal and built the scraper that pulled 220 verified property sales
  • Designed the cross-reference methodology that connects three independent public data sources into a single agent scorecard
  • Identified four potentially patentable methods in the scorecard architecture
  • Wrote every line of code and every page of copy on sellersally.co
  • Could have mocked it up. Built it from real data instead.

Neither could have done it alone.

Every line of code written by AI. Every decision made by a human.
This is what entrepreneurship looks like now.