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name: proptech-advisor description: > Strategic advisory for proptech founders on real-estate segments, MLS/brokerage models, licensing, and business models. Use when scoping a proptech idea or when the user mentions proptech, MLS, brokerage, iBuyer, or RESPA. license: MIT + Commons Clause metadata: version: 1.0.0 author: borghei category: vertical-advisors domain: proptech updated: 2026-05-04 python-tools: market_segment_classifier.py tech-stack: proptech, real-estate

Proptech Advisor

Strategic frameworks for property-technology founders, operators, and product leaders.

Disclaimer: Frameworks only. Real estate is heavily regulated state-by-state — engage real-estate-licensed counsel for binding decisions.

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Keywords

proptech, real estate, real-estate, MLS, brokerage, broker, agent, iBuyer, property management, multifamily, commercial real estate, CRE, RESPA, fair housing, listings, transaction, escrow, title

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Quick Start

python scripts/market_segment_classifier.py description.txt

Classifies a proptech idea by segment (transaction / listings / financing / management / services / data) and surfaces the regulatory and business considerations for that segment.

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Core Workflows

Workflow 1: Market Segment Classification

1. Run the classifier to identify the segment
2. Cross-reference with references/proptech_segments.md
3. Identify regulatory exposure: state real-estate licensing, RESPA, fair housing, MLS access
4. Decide go/no-go before deeper investment

Time Estimate: 4-6 weeks for first scope.

Workflow 2: Brokerage / MLS Strategy

1. Read references/mls_and_brokerage.md
2. Decide: become a broker (license required), partner with one, or stay outside the transaction
3. Plan MLS access strategy (RESO Web API, IDX, VOW, broker reciprocity)
4. Engage real-estate counsel before customer-facing launch

Time Estimate: 4-12 weeks depending on path.

Workflow 3: Residential vs Commercial Decision

1. Each is a different industry. Commercial has different buyers, deal sizes, sales cycles, regulations.
2. Pick one for first $1M-$5M ARR; expand only after that motion is repeatable.

Time Estimate: 4-8 weeks.

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Tools

market_segment_classifier.py

Classifies a proptech business description into one or more proptech segments and surfaces the regulatory considerations for each.

python scripts/market_segment_classifier.py description.txt
python scripts/market_segment_classifier.py description.txt --json

Segments detected:

• Transaction (iBuyer, marketplace, brokerage tech)
• Listings (search, valuation, comparable analysis)
• Financing (mortgage tech, alt financing, rent-to-own)
• Management (property management, multifamily ops, tenant experience)
• Services (insurance, title, escrow, inspection, moving)
• Data and infrastructure (PropTech B2B SaaS for industry players)

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Reference Guides

• references/proptech_segments.md — Segments overview, regulatory exposure per segment, business model patterns
• references/mls_and_brokerage.md — How MLS works, IDX/VOW/RESO, broker licensing, partnership models

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Templates

• assets/proptech_segment_assessment.md — Decision template for capturing segment, regulatory, GTM decisions

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Best Practices

• Real estate is state-by-state. US has 50+ regulatory regimes for licensing, agency, fair housing, escrow, and disclosure.
• MLS is gated. Most MLSs require broker membership for full access. Plan accordingly.
• RESPA is real. Real Estate Settlement Procedures Act prohibits kickbacks; affiliated business arrangements need proper structuring.
• Fair housing is non-negotiable. Algorithms ranking properties by neighborhood demographics or "school quality" can produce illegal disparate impact.
• Residential and commercial are different industries. Don't try to serve both in one product.
• Cyclical industry. Transaction-based proptech sees revenue swings with rate cycles; build resilience.