A listings, portals, schedulers, and brokerage CRM engineering practice. RESO Web API feed sync, fair-housing-aware search patterns, map UX that stays fast at density, and viewing pipelines that convert — shipped from NY + Delhi on a six-week cadence.
Real estate software fails in places generic web work never visits: the MLS feed that half-syncs at 2 a.m., the map search that re-queries on every pan, the viewing request that dies in an agent's inbox. Eight build shapes cover most of what proptech founders, brokerages, and property managers bring us — each an engineering discipline with its own failure modes. Every engagement runs on the same six-week cadence as our B2B SaaS growth practice, with a written scope inside 48 hours of the first call.
iOS and Android apps for buyers, agents, and residents. Map-first search, saved-search push alerts, photo capture that works in a basement with no signal — field software, not a website in a wrapper.
Put listings in every pocket →Multi-tenant listing marketplaces: agent onboarding, subscription billing, moderation tooling, and feed-driven supply. The two-sided cold-start problem is scoped on day one, not discovered at launch.
Launch the marketplace →Faceted search with map-list sync, polygon draw, and viewport-debounced queries. Buyers filter by the way they live — commute, school zone, light — and the interface never resets their work on a pan.
Make search feel effortless →Rent, maintenance requests, documents, and announcements in one login. We build portals around the recurring jobs residents actually have, so the second visit happens without a reminder email.
Give residents one front door →Self-serve viewing slots with agent calendar sync, automated reminders, and no-show recovery. Every viewing request that dies in an email thread is a commission that never existed.
Turn requests into viewings →Occupancy, arrears, maintenance SLAs, and portfolio P&L in one operational view. Property managers run the morning from a dashboard, not from six tabs and a spreadsheet sidecar.
Run the portfolio from one screen →Matterport-style 3D tours, video walkthroughs, and floor plans embedded into listing pages — lazy-loaded and layout-stable, so the tour sells the property instead of sinking the page speed.
Put buyers inside the property →Lead routing, pipeline stages, follow-up automation, and contact records linked to listings and viewings. Built around how agents actually work a farm area — not a generic CRM with renamed fields.
Stop losing leads between calls →An honest note first: fair-housing compliance is a legal obligation your company owns — no development partner can certify it away, and listing software is one of the easiest places to get it wrong by accident. What an engineering partner does control is whether the product's search, targeting, and data patterns design that risk out or quietly invite it in. We build for the former.
Search facets, recommendation logic, and ad-targeting surfaces designed against the discriminatory-steering failure modes described in HUD's fair housing guidance — no demographic proxies as filters, ever.
Idempotent feed sync, per-source field mapping, and display-rule enforcement built against the RESO Web API standard, so each MLS's compliance rules are configuration, not code forks.
Data minimization, deletion workflows, and consent records aligned with EU data-protection law — relevant the moment a tenant portal stores an identity document.
Lease signing and offer workflows wired to DocuSign's developer platform or equivalent — envelope-status webhooks, signer audit trails, and documents that land back in the right property record.
Encryption at rest and in transit, role-based access control that separates agents, managers, and residents, and audit logs on every record that touches money or identity.
Deep, documented map integrations against Google Maps Platform and Mapbox — clustering, polygon search, and tile-cost budgets engineered before the first invoice surprises you.
Four failure patterns show up in almost every real estate platform we inherit. Each has a structural fix — not a patch — and each fix is cheaper the earlier it lands.
When adding a property takes 45 minutes of manual entry, agents batch it for Friday and half of them never finish. We replace re-typing with RESO Web API feed sync and photo pipelines — in the proptech listing archetype, average time-to-list fell from 45 minutes to 6 minutes.
Facets that reset on every map pan, tiles that re-query the world, results that jump under the cursor. We build viewport-debounced queries over PostGIS, server-driven facets, and map-list sync that preserves the buyer's work — a buyer who rebuilds a filter three times closes the tab.
Interest arrives as an email, the agent replies in nine hours, the buyer has moved on. We ship self-serve schedulers with calendar sync, instant confirmation, and reminders. In the archetype pattern, viewing-request conversion rose from 2.1% to 6.8% — same traffic, tripled viewings.
A tenant portal bolted on as a checkbox gets one login and silence. We design portals around the recurring jobs — pay rent, report a fault, find the lease — make each one two taps on mobile, and instrument return visits so adoption is a metric, not a hope.
Real estate platforms are SaaS-shaped, so the honest ranges follow revenue stage. An MVP that takes a paying customer runs $30,000 to $80,000 over 10-16 weeks. A post-PMF platform with multi-tenancy and observability runs $80,000 to $200,000 over 16-26 weeks. Scale-stage — SSO, advanced billing, RBAC, audit logs — runs $200,000 to $500,000 over 24-40 weeks, and enterprise builds with multi-region deployment cross $500,000 to $1M+. The full stage-by-stage math, including the build-vs-buy table that saves $150K+ on most scale builds, lives in our SaaS development cost guide; if the product is app-first — agents in the field, buyers on the couch — the mobile app development cost guide covers the native and cross-platform ranges.
| stage | timeline | market range |
|---|---|---|
| MVP / pre-PMF | 10-16 weeks | $30K-$80K |
| Post-PMF | 16-26 weeks | $80K-$200K |
| Scale | 24-40 weeks | $200K-$500K |
| Enterprise | 32-52 weeks | $500K-$1M+ |
Scope moves price, not the conversation. Every quote arrives in writing within 48 hours of the intro call, itemized by build shape.
$8K to $52K platform MRR over 18 months.
Viewing-request conversion, up from 2.1%.
Month-12 logo retention across paying agencies.
Down from 45 minutes of manual entry, via RESO Web API feed sync.
The pattern: a regional listing platform at $8K MRR with real traffic but manual supply — average time-to-list a property ran 45 minutes of manual entry — plus a search page that reset filters on every map pan and viewing requests routed through email threads. Four workstreams: RESO Web API feed sync that cut time-to-list from 45 minutes to 6 minutes, a rebuilt IDX/MLS-style search with map-synced facets, a self-serve viewing scheduler that lifted viewing-request conversion from 2.1% to 6.8%, and self-serve subscription billing. Platform MRR grew from $8K to $52K over 18 months — 6.5x — on 88% month-12 logo retention. Read the full proptech listing platform archetype, or see the same discipline applied to store networks in our retail software practice.
The cadence is the contract. Every build runs in six-week cycles with a demo every Friday, so you watch the product grow weekly instead of hoping at the end of a quarter.
A 30-minute call on your product, your listing-data sources, and your stage. Written scope — build shapes, timeline, fixed fee — lands inside 48 hours of that first call.
Weeks one to two: the listing schema and feed-mapping plan, the search and scheduling flows, and a clickable prototype of the map-search screens before a line of production code.
Weeks two to five: senior engineers on a staging environment you can click from day three. Weekly Friday demos, feed sandboxes wired early, search tested against seeded edge cases like duplicate listings and dead photos.
Week six: production cutover or app-store submission, feed monitoring and alerting live, incident runbooks handed over, and a go-live checklist your team co-signs.
The next six-week cycle is scoped from live data — search-to-viewing funnels, portal return rates, feed error telemetry — not from a backlog written before users existed.
Real estate rewards proven primitives: relational data with geospatial indexes, map platforms with real documentation, and typed languages end to end. We spend the novelty budget on your product, not the plumbing.
115 people across two HQs and three satellites. No fake local offices, no bait-and-switch juniors — the engineers on the call are the engineers on the build.
US mornings overlap Delhi evenings, so blockers raised at your standup are often resolved before your next one. A near-continuous build day without the handoff tax.
The cadence is public and non-negotiable. You see working software weekly; a slipping build has nowhere to hide by week two.
Our cost guides print the real ranges before you ever book a call, and every scope arrives itemized in writing within 48 hours. Clutch 4.9, Upwork Top Rated Plus, D-U-N-S 650878346.
Our ERP, CRM, and client portals run our own 115-person business daily — scheduling, billing, and audit trails included. We carry a pager for software we built; that instinct ships with your build.
One build shape — a feed-sync integration, a viewing scheduler, a portal MVP — scoped, priced, and shipped on the six-week cadence. Best when the outcome is nameable.
A standing senior pod running successive six-week cycles — features, integrations, and optimization scoped from live funnel and feed data each cycle.
Senior engineers embedded in your standup, your repo, your review process. You direct; we ship at your bar or above it.
Not sure which shape? Start from the stage math in the SaaS development cost guide — the ranges there map one-to-one onto these engagement shapes.
The stage-gated plan we use to take a listing platform from written scope to first paying agency without over-building.
The activation benchmarks that tell you whether agents are adopting your platform or quietly drifting back to spreadsheets.
The decision tree for property apps, where map rendering and camera-heavy field workflows decide the answer.
Real estate platforms follow SaaS cost stages. An MVP that takes a paying customer runs $30,000 to $80,000 over 10-16 weeks; a post-PMF platform with multi-tenancy runs $80,000 to $200,000; scale-stage with SSO, RBAC, and audit logs runs $200,000 to $500,000; and enterprise multi-region builds cross $500,000 to $1M+. App-first products add the native or cross-platform ranges from our mobile app cost guide. Every engagement starts with a 30-minute call and a written, itemized scope inside 48 hours.
A single build shape — a viewing scheduler, a feed-sync integration — fits inside one six-week cycle. A listing platform MVP with search, agent accounts, billing, and an admin panel runs 10-16 weeks, usually two cycles. Post-PMF and scale-stage platforms run 16-40 weeks depending on tenancy model and integration surface. The constant: a demo every Friday and a staging environment you can click from the first week of build.
Yes, with one honest caveat: MLS data access is a licensing agreement between your company and each MLS — no development partner can grant it. What we build is the engineering side: RESO Web API ingestion with idempotent sync, per-source field mapping, photo pipelines, and display-rule enforcement so each MLS's compliance requirements are configuration rather than code forks. In the proptech listing archetype, this rebuild cut average time-to-list from 45 minutes of manual entry to 6 minutes.
Yes — and the discipline is adoption, not feature count. A portal earns its second login by making the recurring jobs effortless: pay rent in two taps, report a fault with a photo, find the lease without emailing anyone. We ship portals mobile-first with maintenance tracking, document vaults, and announcement feeds, then instrument return visits so adoption is a number, not an assumption.
It depends on what your search leans on. Google Maps Platform wins when Places data, familiar map behavior, and Street View context matter most to buyers. Mapbox wins for heavy customization: branded map styles, dense clustering, and fine-grained control over tile costs at scale. Either way we engineer the cost envelope up front, because map platform invoices are the most common budget surprise in proptech.
We are engineers, not attorneys — your counsel owns the compliance program. What we own is building fair-housing-aware product patterns: search facets built on property attributes rather than demographic proxies, recommendation logic that can be audited, ad-targeting surfaces that exclude protected-class targeting by design, and listing content workflows that flag risky language before publish. Designed in from day one, these patterns cost almost nothing; retrofitted after a complaint, they cost a roadmap.
Both. If your workflows fit an existing CRM, we integrate it — lead routing from listing pages, viewing outcomes written back to contact records, follow-up automation triggered by scheduler events. If off-the-shelf options fight how your agents actually work, we build custom: pipeline stages that match your deal flow, listing-linked contacts, and reporting your principals read.
Yes — and for feed-driven platforms we insist on a defined handover either way. Launch includes feed monitoring, alerting, and incident runbooks, because a sync that fails silently is stale inventory by morning. Most teams continue on a product retainer: six-week cycles scoped from live data such as search-to-viewing funnels, portal return rates, and feed error telemetry. Teams taking it in-house get documented architecture and a transition window where our engineers pair with yours.
A 30-minute call on your product, your listing-data sources, and your stage. You leave knowing which build shape fits and what it costs; the written scope follows within 48 hours.
Senior Full Stack Developer · Lucknow · 8 posts on the site
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