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Real Estate Technology

New mega MLS is crystallizing, smashing borders

(BROKERAGE NEWS) Bright MLS is the biggest MLS merger to date, and would consolidate four states of realtors into one listing service.



So bright they need shades

The MLS is evolving. There are 850 MLSs in the country. Every one of them have different fees, jargon, and acronyms, making it hard for Realtors to work across MLS borders even if clients are moving to a neighboring area. With online listing portals like Trulia and Zillow, who offer parts of the MLS to everyone at no cost and with better search tools and property information, brokers are at a disadvantage.

7 MLS organizations, including TREND and MRIS, have joined together to smash borders and combine listings in New Jersey, Pennsylvania, Virginia, Maryland, and Washington DC. This initiative, called MLS Evolved, puts 10 percent of North Eastern realtors under one roof. The new massive listing service is named Bright MLS, to ensure its future is just that.

Better together

“The pace of technology is growing past the capabilities of the current MLS infrastructure across America,” TREND and MRIS wrote in a paper last fall describing their merger. “This has created discord between brokerage firms and the general MLS establishment that is deeply rooted in outdated territorial cultures and practices.”

This move could strengthen real estate in that region and put brokers back in charge.

When consumers search for homes online, they are not limited by standard MLS boundaries, and realtors should be able to accommodate an out of MLS search. With fewer MLSs, larger groups of realtors get the same information, speak the same language, and play by the same rules.

However, MLSs aren’t technology companies, and real tech companies are outdoing them at every turn. But by consolidating, MLSs can beef up their tech to provide realtors with every amenity consumers have on offer. Otherwise, realtors and their search tools will become obsolete. Some would argue that they already have.

The snags

Realtors against this consolidation argue that real estate is a neighborhood business. They are each well-versed in the unique climate of their home turf. If home seekers want to look at a home in another state, that realtor may not be as helpful, and they would likely refer their client to someone else in that region.

A broader network may not be as beneficial to many local brokers, who tend to buy and sell all within the same region.

Where support comes from

That said, many leading organizations believe consolidation is one of the only ways to keep real estate agents well-fed. They note that fear of change may be driving dissenters most of all.
However, many are enthusiastic about the merger. Real estate consulting firm WAV Group is cheerleading this North Eastern merger vocally, but groups from around the country have been backing mergers like this one for the past few years.

“MLS Evolved is one of the most impressive initiatives in America,” WAV Group writes on their site. “It is a shining example of how organizations can place self-interest to the side and have an open and transparent business discussion and critical evaluation of the future of our industry.”

Setting the precedent

Bright MLS is the biggest MLS merger to date, and would consolidate four states of realtors into one listing service. Their efforts may lay the ground work for other consolidation efforts across the country. Realtors have to decide for themselves whether this is good or bad — all eyes will be on Bright MLS moving forward.

In the meantime, MLS Evolved is eager to transition realtors into their new network and are excited to provide more information in January. Check out the MLS Evolved website for more information on the merger, including the in-depth benefits of an MLS consolidation.


C. L. Brenton is a staff writer at The American Genius. She loves writing about all things, she’s even won some contests doing it! For everything C. L. check out her website

Real Estate Technology

Smart homes spy on you, here’s how to spy back

(TECHNOLOGY) Wow surprise, smart homes spy on you constantly. Here’s why it matters, and how to spy back.



smart homes

We’ve long talked about the risks and rewards of technology, especially IoT devices in the home. For every cool gadget, there’s a chance your information will get hacked or tracked.

Last year, Congress thought it would be fun to give Internet Service Providers (ISPs) power to spy on customer internet usage data and sell it. Which means your ISP can see all the data from your smart devices and profit from selling you out to third parties.

Some folks at Gizmodo decided to conduct an experiment to see how much data can be tracked from smart homes.

Back in December, Gizmodo senior reporter Kashmir Hill set up just about every smart device imaginable in her apartment including an Amazon Echo, smart TV, smart lights, toothbrushes, baby monitor, and even a mattress.

Hill’s colleague Surya Mattu, Gizmodo data reporter, configured a router to track the device’s network activity and give the duo the same view as Hill’s ISP.

They found that since the router’s installation in early December 2017, there was not a single day without activity from the router.

At least once a day, at least one of the smart devices sent data packets to the ISP, manufacturer, or third parties. If Hill told the living room to turn on the lights, Phillips got alerted. If the family watched something on Hulu, the smart TV sent information to data brokers.

Every action could be (and in most cases was) tracked and recorded, creating a vast data set about Hill’s daily routines and schedules.

Routine tracking may seem mundane since right now most of the data isn’t being used, just monitored and recorded. However, this data may have more impact in the future.

We already have car insurance companies that offer discounts for safe driving if you use their driving monitors. Cybersecurity expert David Choffnes points out we’re not too far from a world where smart toothbrushes may connect to dental insurance rates and discounts. We’ve explored how smart watches and even browser history could impact your health insurance rates and insurability. Right now it’s all theoretical, but the bones are there to create a tech-inspired Frankenstein.

Plus, it’s inherently creepy to think that an ISP could deduce your family’s schedule based on use of smart devices.

So how can you spy back to see what kind of data is being reported?

Well, for starters you’ll need to have some computer knowledge. Or a pal who is willing to help you out in your endeavor to be a smart home spy.

For the Gizmodo experiment, Mattu built a customized router using a Raspberry Pi 3, which is a tiny computer you can custom program. If you want to replicate their test, these run around $35 for a single board.

Fortunately, the Raspberry Pi 3 comes with built in wifi hardware so it should be fairly easy to configure it as a router if you already know how to use one.

Once connected to the internet and set up as a wifi router, you’ll add the script to monitor network traffic. For this part, you need an understanding of Git and Github.

Next, set up a server so you can store traffic. Mattu and Hill used Amazon Web Services, but you can use your own server if you want. They also crafted a front-end interface to analyze the data.

Note the times when you connect and use the devices for easier analysis. If you want more details about setting up your very own smart home data traffic monitoring router, check out their article.

Some of the information collected from the devices may seem trivial. After all, what does it really matter if Philips knows what time you get up in the morning? Hill noted the data being sent is “basic, boring, information, but revealing information about how we live our life.”

This data could start to matter if companies and ISPs use your information control how you use their devices and how products are sold to you.

TV watching data is already being sold to data brokers. It’s just a matter of time before your sleep score from a smart mattress gets reported to your health insurance to determine coverage or something equally Big Brother-like.

Smart homes are predicted to be a $27 billion market by 2021, with an unprecedented number of new devices in our homes. Before rushing out to get the latest smart device, make sure you’re fully aware of what data you may be inadvertently sharing with companies.

Check out different products’ privacy policies before buying to make sure you’re cool with what information the device will be sending. And if you don’t want your ISP to know how often you make lattes, maybe opt for a coffee maker that isn’t wifi-enabled.

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Real Estate Technology

New startup makes rent count toward tenants’ credit

(REAL ESTATE TECH) This startup gives property owners an advantage while improving the renter economy and making rent count toward credit.



keyo tenant credit

Although property management tools for landlords are well established (think Yardi or RealPage), a new startup is taking a residential approach to property management. Keyo offers renters a seamless way to engage with tenants to provide rent payments, maintenance requests, and building announcements. Before the lease is signed, Keyo can handle tenant applications, free background checks, and digital contract management.

Keyo is renter focused, from the marketing (encouraging tenants to push for it) to the focus on appealing to the new modern renter. From the ability to set up “Scouts” who show units for you (and make money on the side to show the unit and expedite the process), to the fact that renters could apply for an apartment and never pay a single application fee for multiple units – which is also a cost that you the landlord doesn’t have to pass onto them.

The vision is to make the renting economy more accessible, friendlier, and less complicated for tenants.

The best feature by far?

Rent payments made through Keyo are reported to credit bureaus Equifax and TransUnion– which rewards tenants by improving their credit.

(FYI: Renters have less opportunity to improve their credit unlike many mortgage holders.)

Keyo also allows ACH payments for rent – (and as a millennial who resents checks, this is AWESOME), helping individuals pay their rent on time. Maintenance requests are easy and transparent as well.

Keyo makes its money from landlords who pay it to help them fill units, and it provides some key marketing features, including search optimization, analytics on marketing, and all those paperwork management (which means you don’t’ have to pass that cost along to the tenant, which can make investment property owners more competitive). The pricing works out to $5.00 monthly per unit, and each new tenant that is delivered by Keyo costs the landlord one month’s rent. This could be less expensive than the cost of a broker’s standard charge in your region.

Keyo is focused primarily on Brooklyn, but is looking to expand to larger markets. The true test of its quality will be how it translates outside of the wild west of NYC. While being feature-packed, compared to some property management systems like Yardi, this seems a fair bit sparse, but likely is lower overhead.

This is a modern, simple, resident driven platform that could help investment property owners to be more competitive and improve the renter economy.

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Real Estate Technology

No tech skills needed to build lead gen chatbots in under 5 minutes

(TECH NEWS) Create your very own AI chatbots with this awesome new free to start service, no tech knowledge required. Warning: It’s kind of fun and can lead to shenanigans.



landbot chatbot

Artificial Intelligence (AI) is on the rise and innovating quickly. Chatbots featuring AI are becoming increasingly prominent on company websites for more cost-effective, 24/7 customer support and lead generation.

You don’t need to be tech savvy to set up Landbot’s new easy-to-use AI chatbot builder. As long as you have a basic grasp of how to use a computer and the internet, Landbot has you covered.

Landbot offers users a platform to create customized chatbots for customer support, lead generation, and analytics tracking. It launched eight months ago on Product Hunt, earning over 1,700 upvotes and ranked in the Top 200 Products of all time.

Their homepage features a friendly chatbot happy to answer all of your questions. The chatbot also serves as an example of what your very own chatbot could look like if you sign up.

Signing up is as easy as briefly chatting with the bot, providing your name, company or project title, and email address. Lucky you, the sandbox version is not only super user-friendly, but also free to use.

And trust me, the two hours I spent playing around with it are testament to how fun and easy it is to build a chatbot.

No AI, coding, or chatbot knowledge are required to use Landbot 1.0. Simply follow along with the tutorial, learning how to drag, drop, and connect blocks to create conversational interfaces.

Begin with the start message, which is the first thing customers will see. From here, you can create new blocks to build flows. Each block functions as either a question or a message.

Question blocks can have any number of answer types, including pre-set buttons, free text fields, or specific information like asking for contact info.

In the simple message blocks, you can add links, photos, YouTube videos, or custom HTML. Everything is laid out on a grid and connected by dragging an arrow from one block to the next.

Blocks can loop back to previous ones, creating a customizable loop. For bonus fun, you can test out a preview version of your bot to make sure you connected everything correctly.

Once you’ve got your basic conversation flow laid out, customize your bot’s appearance by editing a template or creating a design scheme from scratch. Background, fonts, and color can all be edited to personalize your bot.

Special features include app integration, where you can get Slack notifications when someone using the bot needs help. Automated emails can be sent to qualified leads, ensuring a human on your team follows up with the customer.

Manage leads with access to a table of details, exportable as a .CSV file for record keeping. Analytics are available showing user metrics, flow analytics, and if you incorporated surveys, then collected results.

While Sandbox is free to use, some of the more advanced features are only available if you throw down for a monthly subscription. Landbot offers three pay-to-play options, starting at €20 /month (around $25 USD) for the Starter plan.

Play around with Landbot’s platform and craft yourself a neat new chatbot pal, pal!

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