Aizaz
Case study Real Estate • SaaS • Buyer Matching
PropertyMatch — Real Estate SaaS MVP
Real estate buyer & property matching SaaS MVP
How PropertyMatch moved from a validated Airtable prototype to a focused SaaS MVP while replacing per-agent SaaS licensing dependency.
Delivered by Ali Zafar — Founder & Lead Engineer, Aizaz Studio
Originally completed through Upwork by Syed Ali. Now showcased as part of the Aizaz Studio portfolio. The original Upwork contract was not signed by Aizaz Studio.
Project snapshot
The work at a glance
- Client
- Oran
- Location
- Los Angeles, California, USA
- Industry
- Real Estate
- Engagement
- $800 Fixed-Price
- Delivery
- 14 days
Client perspective
“I hired Syed Ali to help build me a real estate platform to connect agents together and put more deals together within our brokerage. Ali did an incredible job completing my project, he worked hard and fast to get everything done within the short time frame I had. The quality of the work was great as well, anytime I had an edit or fix I wanted he was able to get it done perfectly. I highly recommend working with Ali for any MvP, SaaS, etc needs. I will not be looking elsewhere for future projects as I believe I have found one of the best. Thank you again for all the hard work, I could not be happier with the outcome. You can tell he has been doing this effectively for years and has extensive knowledge of this field.”
Engagement
Project details
- Platform
- Upwork
- Project value
- $800
- Engagement type
- Fixed Price
- Duration
- Mar 10–26, 2026
- Delivery
- 14 days
- Client rating
- 5.0 / 5.0
- Client location
- Los Angeles, USA
The Starting Point
Oran had already built a working prototype of a real estate buyer and property matching platform in Airtable. The core workflow was clear: agent accounts, agents upload buyer criteria, agents upload off-market properties, and the system automatically matches buyers with relevant properties across the network.
A validated workflow, not a blank slate
The Airtable prototype proved the idea worked. The goal was explicitly to build the simplest viable version first rather than over-engineer the product or rebuild functionality that already worked.
The Problem
The prototype needed to become a standalone SaaS MVP. Oran wanted to move away from a per-agent SaaS cost of approximately $40 per agent and build a solution where additional agents would not introduce the same recurring software licensing cost.
Before
Per-agent SaaS licensing tied software cost directly to agent growth.
After
A custom platform backed by fixed infrastructure costs, where the core workflow runs on infrastructure controlled by the client.
- Near-zero marginal software licensing cost per additional agent
- Replaced the per-agent SaaS licensing model with owned software
The Approach
We used the existing Airtable prototype as the starting point. The focus was the minimum viable product required to make the platform usable as an independent SaaS product, translating core workflows into a custom application built around how Oran actually wanted the product to work.
Simplest viable version first
Instead of rebuilding everything, we scoped around the workflows that mattered for launch: agent accounts, buyer intake, property submission, and matching across the network.
Delivered in 14 days
The engagement ran from March 10 to March 26, 2026. The MVP was delivered within a 14 day delivery window on a fixed $800 price.
What We Built
The MVP translated the validated prototype into a purpose-built SaaS application focused on the workflows Oran needed to run the matching network.
Agent accounts
Individual agent accounts with authentication and access management so each agent could manage their own data within the platform.
Buyer criteria management
Agents could enter buyer requirements, including target locations, budget, and notes, stored in a structured format across the platform.
- Target cities and neighborhoods
- Budget and requirement notes
- Centralized buyer records per agent
Off-market property management
Agents could submit off-market properties with structured property information stored in a centralized property database.
Buyer and property matching
Buyer requirements were compared against available properties so relevant matches could be identified across the agent network.
- Location-based property search
- Buyer-to-property match identification
- Agent-to-agent outreach workflows
Shared network and SaaS-ready foundation
A shared network of buyers and properties across participating agents, with centralized data management and multi-user architecture designed to support additional agents without another per-seat SaaS subscription.
- Shared network of buyers and properties
- Centralized data management
- Multi-user SaaS-ready architecture
Outcome
The Airtable prototype was turned into a functioning SaaS MVP that gave Oran ownership of the core workflow. Instead of adding another recurring software license every time an agent joined the platform, the custom MVP moved the core workflow onto infrastructure controlled by the client.
Illustrative per-agent SaaS cost at scale
The examples below are illustrative calculations based on an approximate $40 per agent pricing model. They are not documented actual savings from this project.
| Agent network (illustrative) | Approximate third-party SaaS cost |
|---|---|
| 10 agents | ~$400/month |
| 50 agents | ~$2,000/month |
| 100 agents | ~$4,000/month |
| 200 agents | ~$8,000/month |
Illustrative only, based on ~$40 per agent per month. Not actual documented savings.
What the $800 MVP delivered
- Ownership of the underlying software
- Control over data and workflows
- A foundation for a real SaaS product
- Reduced vendor dependency
- Near-zero marginal software licensing cost per additional agent
- A platform that could evolve beyond the original Airtable prototype