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.
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
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.
Core Workflows
Workflow 1: Market Segment Classification
- Run the classifier to identify the segment
- Cross-reference with
references/proptech_segments.md
- Identify regulatory exposure: state real-estate licensing, RESPA, fair housing, MLS access
- Decide go/no-go before deeper investment
Time Estimate: 4-6 weeks for first scope.
Workflow 2: Brokerage / MLS Strategy
- Read
references/mls_and_brokerage.md
- Decide: become a broker (license required), partner with one, or stay outside the transaction
- Plan MLS access strategy (RESO Web API, IDX, VOW, broker reciprocity)
- Engage real-estate counsel before customer-facing launch
Time Estimate: 4-12 weeks depending on path.
Workflow 3: Residential vs Commercial Decision
- Each is a different industry. Commercial has different buyers, deal sizes, sales cycles, regulations.
- Pick one for first $1M-$5M ARR; expand only after that motion is repeatable.
Time Estimate: 4-8 weeks.
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)
Reference Guides
references/proptech_segments.md — Segments overview, regulatory exposure per segment, business model patternsreferences/mls_and_brokerage.md — How MLS works, IDX/VOW/RESO, broker licensing, partnership models
Templates
assets/proptech_segment_assessment.md — Decision template for capturing segment, regulatory, GTM decisions
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.
1---
2name: proptech-advisor
3description: >
4 Strategic advisory for proptech founders on real-estate segments, MLS/brokerage
5 models, licensing, and business models. Use when scoping a proptech idea or when
6 the user mentions proptech, MLS, brokerage, iBuyer, or RESPA.
7license: MIT + Commons Clause
8metadata:
9 version: 1.0.0
10 author: borghei
11 category: vertical-advisors
12 domain: proptech
13 updated: 2026-05-04
14 python-tools: market_segment_classifier.py
15 tech-stack: proptech, real-estate
16---
17
18# Proptech Advisor
19
20Strategic frameworks for property-technology founders, operators, and product leaders.
21
22> **Disclaimer:** Frameworks only. Real estate is heavily regulated state-by-state — engage real-estate-licensed counsel for binding decisions.
23
24---
25
26## Keywords
27
28proptech, real estate, real-estate, MLS, brokerage, broker, agent, iBuyer, property management, multifamily, commercial real estate, CRE, RESPA, fair housing, listings, transaction, escrow, title
29
30---
31
32## Quick Start
33
34```bash
35python scripts/market_segment_classifier.py description.txt
36```
37
38Classifies a proptech idea by segment (transaction / listings / financing / management / services / data) and surfaces the regulatory and business considerations for that segment.
39
40---
41
42## Core Workflows
43
44### Workflow 1: Market Segment Classification
451. Run the classifier to identify the segment
462. Cross-reference with `references/proptech_segments.md`
473. Identify regulatory exposure: state real-estate licensing, RESPA, fair housing, MLS access
484. Decide go/no-go before deeper investment
49
50**Time Estimate:** 4-6 weeks for first scope.
51
52### Workflow 2: Brokerage / MLS Strategy
531. Read `references/mls_and_brokerage.md`
542. Decide: become a broker (license required), partner with one, or stay outside the transaction
553. Plan MLS access strategy (RESO Web API, IDX, VOW, broker reciprocity)
564. Engage real-estate counsel before customer-facing launch
57
58**Time Estimate:** 4-12 weeks depending on path.
59
60### Workflow 3: Residential vs Commercial Decision
611. Each is a different industry. Commercial has different buyers, deal sizes, sales cycles, regulations.
622. Pick one for first $1M-$5M ARR; expand only after that motion is repeatable.
63
64**Time Estimate:** 4-8 weeks.
65
66---
67
68## Tools
69
70### market_segment_classifier.py
71
72Classifies a proptech business description into one or more proptech segments and surfaces the regulatory considerations for each.
73
74```bash
75python scripts/market_segment_classifier.py description.txt
76python scripts/market_segment_classifier.py description.txt --json
77```
78
79**Segments detected:**
80- Transaction (iBuyer, marketplace, brokerage tech)
81- Listings (search, valuation, comparable analysis)
82- Financing (mortgage tech, alt financing, rent-to-own)
83- Management (property management, multifamily ops, tenant experience)
84- Services (insurance, title, escrow, inspection, moving)
85- Data and infrastructure (PropTech B2B SaaS for industry players)
86
87---
88
89## Reference Guides
90
91- **`references/proptech_segments.md`** — Segments overview, regulatory exposure per segment, business model patterns
92- **`references/mls_and_brokerage.md`** — How MLS works, IDX/VOW/RESO, broker licensing, partnership models
93
94---
95
96## Templates
97
98- **`assets/proptech_segment_assessment.md`** — Decision template for capturing segment, regulatory, GTM decisions
99
100---
101
102## Best Practices
103
104- **Real estate is state-by-state.** US has 50+ regulatory regimes for licensing, agency, fair housing, escrow, and disclosure.
105- **MLS is gated.** Most MLSs require broker membership for full access. Plan accordingly.
106- **RESPA is real.** Real Estate Settlement Procedures Act prohibits kickbacks; affiliated business arrangements need proper structuring.
107- **Fair housing is non-negotiable.** Algorithms ranking properties by neighborhood demographics or "school quality" can produce illegal disparate impact.
108- **Residential and commercial are different industries.** Don't try to serve both in one product.
109- **Cyclical industry.** Transaction-based proptech sees revenue swings with rate cycles; build resilience.
borghei