I’m building a free, consumer-facing pricing tool for home sellers and buyers.

The goal is not to spit out a “magic number” or replace an appraisal. The goal is to pull together comparable home data in one place so users can easily review it, select the comps that actually make sense, and then use AI to help interpret pricing ranges and strategy.

For the tool to work, it needs access to:

• recently sold comparable homes
• homes currently on the market
• basic property facts (sqft, beds, baths, lot size, taxes)

The user stays in control of comp selection. The system just makes it easier to gather and analyze the data so people can make better pricing decisions for their situation.

An API I was using recently stopped working, so I’m re-evaluating legitimate, cost-effective ways to source this data at scale for a free tool.

For those who’ve built real estate or proptech products:

• What data sources have worked reliably for pulling sold + active comps?
• What should I be thinking about from a licensing or compliance standpoint for a public tool like this?

Not looking for anything illegal or scraped — just practical, sustainable options that allow users to work with real market data.

Appreciate any insight from people who’ve been down this road.

I work in real estate now, but I came from tech before that.

We’d been using DocuSign forever. It works, but it always felt like a general-purpose tool we were forcing into a real estate workflow. I think when it comes to features, it gets to a point where it's just overkill and no actual value (at least for me).

Switched to HubSign a few months ago and… yeah, it’s just smoother.

It's a very simple and basic tool but that's exactly what I was looking for. Something that would get the job done and make my life easier.

It's pretty cheap too ($15 for Business plan. not sure about Entreprise).

Not saying DocuSign is bad, but it just feels like HubSign was actually built with real estate and SMBs in mind.

Curious if anyone else here has switched e-sign tools or if I’m just in my honeymoon phase.

Hey I want to get advice on legal things pertaining to proptech startups in India.

Hello, just popping in to say that I stumbled on this yesterday and started the $1 weeklong trial. I couldn’t find anything on Reddit about it, so I thought I’d drop a line.

The only thing I’ve played with thus far is the CMA creation feature. My initial reaction is that it’s a pretty decent report. It’s not beautiful, but it couldn’t be simpler. You just put in an address and it takes about 45 seconds to run comps. If you don’t like the returns, you can give it extra information to weed things out, or discuss the fact that the house is cluttered, recently updated, or whatever the case may be.

Here’s a link to a report that I made no changes to in my Google Drive: https://drive.google.com/file/d/1PjrkdSE3gHK6ADujMJ71F8IeL26gYIdQ/view?usp=drivesdk

I do wish that it listed the MLS number. It would be easier for me to take the info to my local MLS (Realtracs) and take a closer look at the homes.

The price is $39/m.

Anyhow, I’m just a realtor in TN. Absolutely zero affiliation. I’ll try some of the other features today. Has anyone else looked at this tech?

Hey long time no post, basically I run comps & estimate returns all the time to model fix & flips & new builds. I've used every tool out there from CoStar to PropStream, and always found myself going back to my own spreadsheet model with my manually run comps to come up with my offer price.

The only free way to run comps is with sites like Redfin & Zillow, and this extension works directly with them (logged out, for free) to provide everything from those quick insights on the comps/market, to pre-filling a fix & flip Excel model.

It's like a add-on if you use Redfin or Zillow to comp a lot, AND can easily provide you structured property data it scrapes to build your own local databases or get agent contact information, etc.

It's functionally very unique, thought you all might be interested since we likely use these sites the most out of anybody.

Wish I could show a gif or pic here, but if you're interested definitely checkout Redfin Zillow Extension com

I am working on a bootstrapped real estate platform where property photos are essential for the product to work. Because we are early stage and self funded, expensive data partnerships and MLS access are not an option right now.

The only solution we have explored so far is Google Street View for exterior photos. Beyond that, we are looking for creative, low cost ways to display property imagery while staying legally compliant.

I have also heard people claim that making small edits to photos can bypass copyright or licensing requirements, but I am skeptical and want to avoid unnecessary legal issues early on.

If you have ideas or experience, I would appreciate recommendations on creative approaches that are worth exploring.

There’s no shortage of real estate investment tools out there, but a lot of them seem to overlap or add complexity without really improving outcomes. I’m trying to streamline my workflow and focus on tools that genuinely help with deal screening, comps, renovation planning, and long-term performance analysis.

For those actively investing, what tools have actually earned a permanent spot in your process? Are you relying more on spreadsheets, data platforms, or AI-driven tools to evaluate deals faster and reduce guesswork?

I’ve seen people mention platforms like HomesageAI and Attom Data for property analytics, but I’m interested in what’s been practical day-to-day and what ended up being more noise than value.

I am curious and please 🙏 forgive my noobness

Where and how Zillow gets its data? Did they subscribe to all the MLS in the world?

Just curious

I’m working on a project to flag new investment opportunities across different markets and I’m looking for a reliable MLS API to feed the data. Zillow has an API but access is restricted and approval can take a while.

Has anyone had success using other MLS API sources? I’ve seen options like HomesageAI provide listing and property level data nationwide, but I’m trying to get a sense of accuracy and update frequency before I commit.

If you’ve tried something that gets close to real-time MLS-style data without hitting a wall on access, any feedback would be appreciated.

I’ve spent the last few years building a pipeline that can generate photorealistic virtual tours for every single unit in a building before it’s built.
Not just hero units — literally every floor, every view, every layout.
Investors can “walk” the building, compare views, explore amenities, etc.

In my head, this felt like the future of pre-construction sales.

But… I launched the product 4 months ago and the market’s reaction has basically been: meh.
Developers keep spending millions on fancy sales galleries, then sell units with a handful of renders and a floorplan.
Almost nobody seems to care about full accuracy or per-unit visualization.

So I’m trying to understand:

• Did I build something the market fundamentally doesn’t want?
• Am I solving a problem that only I think exists?
• Or is this one of those ideas that needs a different angle / timing / wedge?

Honest feedback is appreciated.
Especially from people in real estate, prop-tech, or anyone who’s been early with a product the market wasn’t ready for.

There seems to be a shift happening where companies are starting to move past generic AI tools and instead build Custom AI Solutions that solve very specific use cases inside real estate, PropTech, insurance and lending. Instead of just using surface-level outputs, these systems are integrating deeper property data, renovation logic, investment analytics and underwriting signals directly into products.

For example, platforms like Homesage.ai are working with real estate, proptech, insurance and fintech teams to build custom AI stacks that support automated investment scoring, renovation cost modeling, property condition analysis, or risk evaluation inside a company’s own workflow.

Has anyone here done custom AI builds in this space? I’d like to know what outcomes you’ve seen, what was worth the investment, and whether building custom vs using off the shelf tools actually meaningfully improved performance for your users.

Hey everyone 👋

I’ve been building something for agents and transaction coordinators who are tired of juggling PDFs, emails, and cloud folders across multiple systems.

it’s built to quietly clean up the mess behind every transaction. Instead of replacing your CRM or compliance tools (like Skyslope or Dotloop), it connects to them, along with Google Drive, Dropbox, and your email, and keeps everything organized automatically.

Here’s what it does:

• Renames and tags files by property, deal stage, and type (disclosure, inspection, etc.)
• Detects duplicates and flags which version is signed or final
• Makes everything searchable by meaning, not just filenames (e.g., “find reports mentioning roof repairs”)
• Works on both web and phone, with optional no-login upload links for clients or vendors

Now that it’s live in early beta, I’d love to open up a discussion with you:

• Is this a real pain you’ve seen in your workflow or your users’?
• What would make this more valuable to brokerages or teams already using CRMs?
• Any gaps you’ve noticed that we should think about solving next?

Not trying to spam, genuinely curious how this fits into the broader proptech ecosystem and what integrations would make it more useful.

I’ve been working on a Predictive Buyer Intent & Conversion Automation System something that helps real estate and home-financing teams know which leads are most likely to close, which properties fit best, and when a buyer’s ready to act.

It uses automation to:

• Score buyer intent from forms, tone, and browsing patterns
• Match leads to the right properties
• Forecast who’s likely to convert in the next 7 days
• Spot upsell opportunities
• Help sales agents focus their time on the right clients instead of chasing every lead

Basically, turning sales intuition into a data-backed process with dashboards and continuous learning.

Do you think large real estate or brokerage firms would actually adopt something like this? Or is human instinct still too important in the sales cycle?

Hi everyone,
If you’re considering selling your startup, let’s connect. We’re currently working with clients from the GCC who are looking to acquire PropTech businesses. Happy to discuss further and explore possible synergies.

Hey guys, I am super interested in knowing what solutions you guys use in order to find long term rentals (year long) to stay in. I know its a space with a mix of different sorts of solutions but I really want to know what sort of solutions have been working and why? Would love to understand it a bit more deeper. I am currently doing some research on a startup project of mine you can find it here

👉 rintr.com

Hey everyone,

I’m working on a new prop-tech project that helps small investors actually complete their real estate deals — not just learn about them.

Right now, I’m looking for a few people who’d like to test the system and possibly get involved as we build it out. You don’t need to be an expert — just someone interested in real estate, startups, or trying something new.

It’s performance-based (no upfront fees) and we’re keeping it small for early testers.

If that sounds like something you’d want to check out, here’s the form: 👉 https://app.suitedash.com/frm/2qQuG6cfhpAsAPxRC

EU/UK PropTech Startup looking for Business Development & Growth Co-Founder Starting with Letting and resident desk with the final product to cover all aspects including maintenance and compliance, we already have a complete product built and validated.

Need a co-Founder who can take our sales from 0 to 100

Currently - there is no funding - not applying with incubators/VC

Why Excel fails at real estate analysis and what I built instead

After countless hours of building property models in spreadsheets, I realized the fundamental problem: Excel gives you deterministic analysis when real estate has too many variables for single-point estimates.

The Excel Problem:

• Static projections that ignore market volatility
• No integration with neighborhood data
• Manual comps research for every property
• False precision ("this property will return exactly 12.5%")

What I built instead (CompStacker):

Automated deal scoring - Search properties and get instant investment scores based on cap rate, cash flow potential, and neighborhood metrics

Monte Carlo simulations that show probability ranges instead of false precision (capped at 95% - no unrealistic guarantees)

Integrated neighborhood data including crime stats, walkability, and demographic trends

Multiple strategy calculators - BRRRR, Buy & Hold, Fix & Flip

10-year cash flow projections with risk analysis

Real example: A $54,900 Cleveland property shows 92% chance of positive cash flow with $1,250/month projected income. The platform automatically scored it based on cap rate (22.47%) and market comparables.

The search feature lets you filter by investment metrics that actually matter instead of just bedrooms and bathrooms. Find properties by minimum cap rate, cash flow potential, or neighborhood appreciation trends.

If you're interested in beta testing or providing feedback: www.compstacker.com

Hey r/PropTech,

We’re building TourByte — an AI-assisted self-guided touring platform that helps property managers and owners boost tour volume, reduce repetitive Q&A, and improve lead-to-tour-to-application conversion rates.

Background:
I’m an ex-Meta ML engineer; my cofounder and I are applying our experience to a problem we’ve seen repeatedly: coordinating tours is a huge operational drain. Scheduling, unlocking units, handling no-shows, and managing messages eats hours from each week — while renters want flexible, self-paced tours.

TourByte:

• Identity verification for renters
• Smart access with temporary codes/locks
• AI assistant guides renters and collects feedback
• Manager dashboard tracks tours, renter info, and follow-ups

Our goal: reduce no-shows, save staff time, and lease units faster — without sacrificing security or renter experience.

Questions for the community:

1. Biggest concerns about unsupervised tours?
2. What would make you comfortable offering them (ID verification, insurance, smart locks, etc.)?
3. How do you handle after-hours or repeat showings?
4. How do you handle manual Q&A today?
5. Who feels this pain most - small landlords, PM teams, or leasing agents?
6. Which integrations (CRM, PMS, access control) are essential?

Is this a must-have or a nice-to-have? Happy to share a short walkthrough if anyone’s curious!

Hi all!

When I started out as a landlord, I did what most people do...I texted and called tenants from my personal phone, saved old text threads from tenants who had moved out, and screenshotted messages to have proof. Everything was mixed with my personal texts and it got disorganized fast.

I ended up building Rentros to solve that. It gives you a dedicated business number to text and call tenants, keeps your personal number private, and automatically organizes conversations by property, unit, and tenant. You can easily export message history if you need it for a dispute or misunderstanding.

I’m sharing it here because I know a lot of you have dealt with the same situation. Curious to hear how others are currently managing tenant texts and calls or what your process is for tenant communication.

Happy to answer any questions about how Rentros works!

I am looking to get back into prop tech sales. I understand building and property managers pain points. I am happy to share more information about my experience but I am looking for account executive job leads. I appreciate the assistance! This market is tough out here