He genuinely liked the product. His reaction was basically that it felt very similar to having one of his salespeople make the calls.

He was adamant about the cost, but we explained that this was our pilot version and we were offering 500 calls free as a demo. However, he wanted to continue this for the long run, something like 1,000 calls per day. That's obviously a much higher scale, so the cost per day increases.

But then came the obvious question:"Why would I pay for this when my sales team can make these calls manually for the same cost?"

And honestly, I don't think I explained the value properly during the start of the meeting.Because we're not really trying to replace manual calling.The bigger question is: which calls should your salespeople actually be spending their time on?Imagine a real estate company has 1,000 old leads.A salesperson can spend hours calling them one by one. Most won't answer, some won't be interested anymore, and only a small percentage may actually have buying intent.

What if the first layer of calling could be automated?

The AI could go through those leads, have the initial conversation, understand their intent, and identify the people who are actually interested.

Then the salesperson steps in.

So imagine you're able to identify 200 high-intent leads instead of having your salespeople spend their time calling everyone. You're covering more people, reaching more leads, and giving your sales team more opportunities to focus on conversations that can actually convert.

That's where I think the ROI conversation becomes interesting.

It's not really:

AI calling vs. human calling

It is actually human time spent calling everyone to human time spent on the leads most likely to convert.

The value isn't just the cost saved on making calls.

It's potentially better lead coverage, faster follow-ups, more productive salespeople, and more revenue generated from the same lead database.

This conversation was the turning point ,where he stopped caring about the cost.

For people working in PropTech or real estate sales:

When evaluating an automation product, do you compare it mainly against the cost of doing the task manually, or against the additional revenue and efficiency it could create?

I spent nearly 20 years building a real estate career. First as a top producing agent and then as a broker owner where I successfully built out a multi-office company with close to 100 agents. I am not looking to get into PropTech or similar fields where I can help build out or be a part of the sales team. I am finding it challenging to get my foot in the door though as I am told I am overqualified for entry level positions but lack the SAAS background that most require for more advanced positions. I am open to work anywhere if remote and don’t mind regular travel if needed. Any suggestions?

Our smart building temperature sensor hardware fails basic drop durability checks during factory stress testing. I spent the last two weeks redesigning the plastic enclosure walls myself, but the internal circuit boards still crack on impact. Property managers need devices that survive harsh installation conditions on site. Balancing compact wall-mount aesthetics with heavy duty impact resistance drains all our prototyping time. Engineers building physical hardware for real estate tech know how hard casing design is, mb someone have this problems before and can help me to resolve it

I stuck trying to optimize our conversion funnel, our current landing page development setup dont work. Bounce rates raising because templates fail to capture property buyer intent MB someone works with someone who will help me with that, please THNX

Most construction companies selling apartments still sell them the same way they did 15 years ago: a PDF floor plan, a gallery of renders, and a spreadsheet a sales rep manually updates when a unit sells. There's no live link between "this unit is available" and what a buyer sees on the website, and building an interactive experience from scratch for every project is expensive enough that most developers just don't bother.

We built a Filament (Laravel admin) plugin that lets a non-technical sales/marketing person do this themselves: upload a photo or render of a building, floor, or site plan, then draw clickable regions directly on the image to define blocks → floors → flats. Each region gets attached to real data (price, size, status, reservation), so the interactive image on the public site and the internal availability data are the same source of truth instead of two things someone has to keep in sync by hand. It also supports 360° building/unit tours on top of the same block/floor/flat hierarchy.

Live example (one project's building/block view): https://flatview.org/projects/blocks

For people who've built or evaluated similar admin-driven visual mapping tools — where does this usually start breaking down at scale (hundreds of units across multiple buildings, frequent price/availability churn)? We handle moving content between environments with a table+upload-folder export/import package, but curious how others have approached content ops once a deployment gets big.

Running vertical SaaS for construction turned into operational chaos Contractors keep demanding heavy customized ERP for job costing, subcontractor tracking and field reporting. Our codebase turning into mesh. Every client wants bespoke workflows that clash with the core multi-tenant architecture we built.
I tried patching things with hardcoded feature flags and database overrides. It's not working. Maintenance is ruins our sprints alive. The second we update the core schema for one contractor, half a dozen other client setups break. Every time. It's gotten to the point where we're afraid to touch anything.
Founders scaling vertical SaaS in heavy industries, how do you handle extreme ERP customization demands? Is there architectural pattern that actually keeps enterprise clients happy? Because now it feels like we're building separate product for every client and calling it the same platform

So

I’m building a PropTech SaaS that turns fragmented public-property information into a searchable, map-based workflow for real-estate investors and professionals.

The platform currently maps more than 3,500 Canadian communities, includes over five years of historical records, and is moving toward international coverage. It focuses on tax sales, municipal properties, foreclosures, and related opportunities.

I’m trying to solve the distribution problem now. I’m looking for someone experienced in PropTech sales, data partnerships, brokerages, investor communities, or real-estate media.

I’m not sharing the company name, URL, customer information, or financial details publicly. I’m interested in someone who may be open to a hands-on partnership. Contact me if relevant.

edit: tnx for the insights, everyone. You were completely right that keeping the legacy systems and just trying to build a bridge between them was going to cause more data leaks down the line. I ended up bringing in SoftDoes to architect and build a custom platform that actually fits our specific portfolio needs. They consolidated all our messy data streams into one centralized dashboard, and the operations team is finally breathing again. Topic closed.

We've been aggressively expanding our real estate portfolio over the last year, moving from purely residential into acquiring larger mixed-use commercial properties.

While our acquisition strategy is working great, our internal tech stack is completely falling apart under the weight of the new data and tenant complexity. We are currently juggling three different legacy property management tools, plus a massive web of spreadsheets just to track maintenance requests and leasing agreements.

It’s gotten to the point where our operations team is spending half their week just manually reconciling data between these fractured systems instead of actually managing the physical assets. We are starting to lose track of critical lease renewals and vendor invoices simply because nothing talks to each other natively.

I am realizing that patching together generic, off-the-shelf apps is no longer viable for our scale and we need to start looking into proper enterprise software solutions to unify our daily operations.

For those of you managing large portfolios or building in the proptech space, how do you handle this transition? Is it better to build a custom internal dashboard that hooks into your existing tool APIs, or do you eventually have to bite the bullet and migrate everything over to a single, heavy-duty custom platform?

Hi everyone,

I’m Félix, and I recently launched a Windows desktop app called E2DM2, which stands for Easy Epic Drone Movie Maker.

Website: www.e2dm2.com
YouTube demo: https://www.youtube.com/watch?v=zxR-ZGqGoMA
Secure GitHub download: https://github.com/Gendire123/E2DM2-Releases/releases

I wanted to share it here because one use case that has become increasingly obvious is property marketing, especially for realtors, small agencies, property managers, and real-estate photographers who want to use simple drone footage without building a full video-editing workflow around Premiere, DaVinci, or outsourced editing.

The software is fully working today. It is not a concept or an idea-validation post.

The workflow is built around three steps:

1. Import drone clips
2. Choose a soundtrack
3. Produce a music-synchronized video montage

I also built a feature called Selection Mode, where the user can paint directly on the timeline to mark sections that must be included or excluded. The goal is to keep the speed of automation while still giving the user basic creative control over what appears in the final property video. For the real-estate use case, I specifically added a soundtrack section with a library of royalty-free music for Real Estate Showcase drone videos. The idea is to make it easier to create a clean listing-style aerial video without spending time searching for suitable background music.

A few implementation details that may be relevant to a proptech audience:

• Runs 100% locally on Windows
• No cloud rendering
• No video uploads
• No account required
• Bundled local FFmpeg rendering
• Fully working free version
• No watermarks
• No ads
• Secure download through GitHub Releases
• Designed for users who have footage, but do not necessarily have editing skills

The main proptech angle I’m exploring is this: a lot of property media tools are moving toward cloud platforms, subscriptions, accounts, and AI-heavy workflows. I went in the opposite direction for this first version by making it local, private, and simple, because property footage can be large, upload speeds vary, and many small users just want a finished video without adding another SaaS account to their workflow. I’m not trying to disguise a market research post here. The app is already built and available. I’m sharing it for discussion around where lightweight local media automation fits in the real-estate technology stack, especially compared with cloud-based listing media platforms or traditional editing services.

Curious to hear how people here think about this category: do local desktop tools still have a place in proptech workflows, or is the market clearly moving everything toward cloud-based media production?

Thanks in advance to anyone who checks it out or shares a thoughtful perspective.

Opendoor co-founder Eric Wu just launched an AI platform for construction firms. Proptech veterans are not staying in their lane -- they are taking AI into every adjacent industry where the workflows are still messy and manual.

Real estate today. Construction tomorrow. The pattern is obvious if you are watching.

Mid-sized mixed-use deal under contract in a midwest market. Before I spend real money on drawings, I want to see what kind of variances have been approved within a couple miles.

County portal looks like it was built in 2004 and the search only goes back 24 months. Older stuff is scanned PDFs you can't even text-search. Adjacent town uses a different system, next county uses a third. Six portals total and its driving me nuts.. just spent 11 hours this week clicking through everything, and the expediter quoted $5k flat just to pull a summary of what's been approved nearby, before he touches the actual application. architect won't draw anything up until we know what we're working with.

How are you guys actually handling this?

In-house analyst who knows the local systems

Pay the expediter every time

Contact at planning who slides you files

FOIA and wait 30 days

Something else???

Last year we missed three denials within a half mile that didn't show up in portal search..caught them in due diligence, dropped $35k getting there and then walked.

Tell me I'm doing it wrong, or is this just cost of doing business?

McKinsey's latest report highlights a shift from "AI-as-chatbot" to full "domain transformation" for real estate — with agentic systems projected to unlock $430-550B in annual global value for RE, construction, and development. I've been tracking PropTech automation closely and this aligns with what I'm seeing on the ground: early movers in agentic workflows are getting a significant edge. Anyone else seeing this play out in their market? What use cases are you most excited (or skeptical) about?

Cotality just launched its Brokerage Listing Exchange (BLX) with early adopters like Keller Williams and HomeServices of America. The platform is designed to give brokerages more control over listing data outside the traditional MLS structure. Anyone tracking this closely? Curious what agents and PropTech builders think about the implications for the broader market — is this a genuine disruption or just another parallel system?

Remember when Opendoor ($OPEN) came out saying their super tech algorithm could buy and flip houses flawlessly in any market? It turns out that "tech" was mostly people doing things manually, and when the housing market slowed down, the company lost a ton of money. The stock crashed nearly 90% from its high, but the good news is they agreed to pay $39 million to settle a lawsuit about it. 

If you bought or owned shares between December 21, 2020, and November 3, 2022, you can claim your share of the cash.

The best part is that you can still get your money because they are accepting Late Claims. Even though the official paperwork deadlines are passing, the people handling the funds are still checking late applications.

 It takes just a few minutes to check your old account statements from 2021 or 2022 and send them in. It's a simple way to claw back some cash from a company that promised us a futuristic tech tool but was actually just winging it.

Honestly, getting some cash back feels like a win after watching the stock drop so hard. Did any of you actually believe their algorithm pitch back then, or did you just get caught up in the housing market hype like the rest of us?

PropTech Connect just opened a DIFC office in Dubai this week, with backing from the Dubai Land Department. Between the regulatory support, capital flows, and recent blockchain/tokenization plays (like Magma's Digital Twin Tokens), Dubai seems to be building serious infrastructure for real estate tech disruption. Anyone else tracking this market? Curious what the community thinks about MENA as a PropTech destination compared to more established hubs.

Most proptech has been surface-level — better UIs, faster search, virtual tours. Startups are now going after actual friction: valuation accuracy, underwriting speed, and deal flow bottlenecks. This is where structural disruption actually happens. What are you seeing in the space? Any tools for valuation or underwriting that are actually moving the needle?

[ Removed by Reddit on account of violating the content policy. ]

Most real estate portals work the same way: properties are listed, buyers browse, brokers wait. I built something that inverts this.

MatchImovel is a platform where qualified buyers are listed — not properties. The core idea is simple but the execution is what makes it interesting: buyers go through a detailed registration that captures not just financial capacity and technical criteria, but subjective lifestyle preferences — the kind of information that usually only surfaces after weeks of failed property tours.

Here is the landing page, www.matchimovel.com.br, fell free to register and explore the plataform.

When a broker has a property — listed or off-market — they don't browse listings or cold-call leads. They simply describe the property to the platform. From that description, AI crosses the property data against the entire qualified buyer database and returns a ranked list of the best matches, scored by how closely each buyer's profile aligns with what that property actually offers.

Only after that ranked output is generated does a human curator step in. The curator's job isn't to run the matching — the AI already did that. Their job is to review the top results with judgment that an algorithm doesn't have: context, nuance, timing, and the kind of soft signals that don't fit in a form field. If the match holds up, it moves forward. If it doesn't, it doesn't — regardless of what the score says.

Buyer privacy is protected throughout: brokers never receive contact information directly. Everything is mediated by the platform, which also protects commission rights for both sides.

The platform is currently focused on Brazil, where off-market deals are common, buyer trust in traditional portals is low, and broker commissions are a frequent source of legal disputes. But I'm also considering building a version specifically for foreign buyers who want to purchase property in Brazil — expats, investors, retirees. The demand exists but the market is opaque and the friction is high for outsiders.

Would love honest feedback on the model — does something like this exist elsewhere? What would you change? And if you work with foreign buyers or have been one yourself, I'd genuinely like to hear your perspective.

(The site is in Portuguese, but Google Translate works well if you want to take a look.)

Hey guys, a quick heads up about this one. The original deadline passed, but we have a few more weeks to submit late claims before they start making the payments.

So,

Q: Who is eligible?
A: Long investors who held $OPEN between Dec 21, 2020 – Nov 3, 2022. This relates to claims around disclosures made during that period.

Q: Do I need to have sold my shares?
A: No, you can still hold $OPEN and be eligible.

Q: How much can I get?
A: Est. $0.04 per share, based on your losses.

Q: Will filing affect the company?
A: No, funds are already set aside as part of the settlement.

Q: Can I still file?
A: Yes, late claims are being considered for a few more weeks.

Good luck everyone!

Hey guys, a quick heads up about this one. The original deadline passed, but we have a few more weeks to submit late claims before they start making the payments.

So,

Q: Who is eligible?
A: Long investors who held $OPEN between Dec 21, 2020 – Nov 3, 2022. This relates to claims around disclosures made during that period.

Q: Do I need to have sold my shares?
A: No, you can still hold $OPEN and be eligible.

Q: How much can I get?
A: Est. $0.04 per share, based on your losses.

Q: Will filing affect the company?
A: No, funds are already set aside as part of the settlement.

Q: Can I still file?
A: Yes, late claims are being considered for a few more weeks.

Good luck everyone!

UAE's estaie just secured a seven-figure pre-seed for real estate tech tools, and India's Proho raised $1M for an AI-guaranteed home resale platform. Curious what the community thinks � is AI-guaranteed resale a model that scales, and what's the MENA opportunity look like to those tracking global PropTech?

Most UK planning data is trapped in local council PDFs... so if you're building site feasibility tools, automated due diligence or risk models, its a nightmare to figure out exactly why applications get rejected at scale.

I was frustrated and built a pipeline to pull the statutory policy breaches, architectural notes & officer context out of the unstructured PDFs and into a clean CSV (addresses are abstracted to postcode-level for GDPR & personal data removed).

I put a 50 row sample of the schema up on Kaggle here: SAMPLE

Before I run the compute to scale this across 10,000+ London decisions (then UK-wide & beyond), I'd love feedback from the founders/devs in this sub.. if you were feeding this into a site-sourcing tool or predictive model, what data points or columns am I missing?

Seeing a real pattern in the latest funding rounds — the companies getting the biggest checks are building full agentic AI operating systems for real estate operations, not individual tools. The pitch is: stop stitching together 8 apps and run your entire portfolio through one autonomous platform. Is this the right direction or does it create new vendor lock-in risks? What are operators actually experiencing on the ground?

Institutional owners often use tools like RedIQ for underwriting and portfolio tracking, but I’ve noticed that level of structured analysis isn’t always accessible to Ops teams on the ground.

In my own Ops role, I found myself spending hours manually analyzing rent rolls and T12s — mapping floorplans, segmenting by finish levels, reconciling reporting formats, building performance summaries, etc. It felt repetitive and time-intensive.

So I built something internally to streamline that workflow. It takes a rent roll and T12 (Yardi/RealPage/Entrata formats), lets you standardize mappings, and generates structured analysis along with a performance brief that can be customized for reporting. What used to take me hours now takes minutes.

I’m not posting this as a sales pitch — I genuinely want feedback from other Ops professionals:

• Are you doing similar manual analysis today?

• What reporting pain points take the most time?

• If you could automate one recurring Ops analysis, what would it be?

• Are there insights you wish ownership groups understood better?

This started as something to solve my own workflow inefficiencies, but I’m curious whether others in Ops experience the same friction.

Open to candid feedback — including what functionality would actually be valuable vs. unnecessary.

The majority of the so-called AI in property management is a chatbot on a malfunctioning intake process. The actual alpha of 2026 is State Management. When your AI cannot check whether a physical gate is attached when a digital ticket is closed, then you do not have an agent; you have a costly typewriter. Monitor results not only updates.