Upwork verdict · build Pain point

Decision intelligence dashboard for real estate deals

Built for Real estate investors and brokerage managers.

“4 days ago — Decision Intelligence Platform for real estate. MVP built with Airtable + Make.com + AI Automation. Posted yesterday. Read more…”

The receipts — real demand

“4 days ago — Decision Intelligence Platform for real estate. MVP built with Airtable + Make.com + AI Automation. Posted yesterday. Read more”
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5.5 / 10 · demand score
Pain 7
Willingness to pay 6
Feasibility 5
Specificity 5
Audience 4
Competition 6

Why this is a gap

Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.

The market

Real estate investors and brokerage managers making acquisition and portfolio decisions. Zero search volume but the pain post mentions an MVP already exists (Airtable + Make + AI), suggesting there is buyer demand but it is small, tactical, and not yet commoditized into searchable terms.

Competition & the opening

Crowded market · 6/10 vs HubSpotSalesforce

Low competition (1/10) but an MVP is already live, indicating the founder is exploring the space. Mainstream CRMs (Salesforce, HubSpot) and real estate platforms (MLS, CoStar, AppFolio) exist but do not offer decision intelligence tailored to deal evaluation. The gap is a lightweight decision tool for deal underwriting.

What's hard to build

Building credible deal intelligence requires: access to accurate, current property and market data (MLS, tax records, comps) that are either gated behind expensive licenses or fragmented across providers; modeling deal quality on limited historical data from a single firm (cold start problem); and delivering predictions investors trust, which demands backtesting and explainability. Feasibility 5/1

Why now

Real estate investors use fragmented no-code tools; a purpose-built decision dashboard with deal scoring closes the gap.

How you'd monetize

$79–199/mo per-agent or per-firm