← April 22, 2026 edition

spotlight-realty

AI-powered brokerage. One-third the commission for NYC rentals.

Spotlight Realty Is Charging One-Third the Commission on NYC Rentals, and Landlords Are Paying Attention

Real EstateAIProptechSaaS

The Macro: NYC Rental Commissions Are a Racket, and Everyone Knows It

New York City’s rental market is one of the most expensive and dysfunctional in the country. That is not a controversial statement. What is less discussed is how much of that dysfunction sits on the brokerage side.

Traditional NYC rental brokerages charge commissions that would make a used car salesman blush. The standard is 12% to 15% of annual rent, paid by the landlord or tenant (or split between them, depending on the deal). On a $3,000 per month apartment, that is $4,320 to $5,400 for what often amounts to listing the unit on StreetEasy, conducting a few showings, and running a credit check. The economics are indefensible when you actually look at the work involved.

The incumbent brokerages survive because switching costs are high and the alternatives have historically been worse. Landlords who try to rent without a broker quickly discover that tenant screening is a headache, coordinating showings with their schedule is brutal, and listing on all the major platforms requires accounts and relationships they do not have.

Companies like Zillow, StreetEasy (owned by Zillow), Apartments.com, and Redfin have digitized listing distribution but have not replaced the broker. You can find apartments online, but someone still needs to show the unit, screen the applicant, negotiate the lease, and handle the paperwork. That “someone” still costs 12%.

The proptech wave of the 2010s mostly focused on buying and selling homes, not rentals. Compass, which went public and then cratered, was a tech-enabled brokerage for sales. Opendoor and Offerpad tried iBuying. Redfin offered reduced commissions on home sales. The rental side was largely ignored because the per-transaction value is lower and the volume is higher, which makes it a harder business to scale with humans.

But that is exactly the profile that AI automation was built for. High volume, repetitive workflows, predictable patterns, and a massive cost gap between the current solution and what technology can deliver.

The Micro: Three Founders, 4% Commission, and an AI That Schedules Showings

Spotlight Realty was founded by Raymond Allie (CEO), Jake Phelan (CTO), and Aryan Sharma (COO). They came through Y Combinator’s Summer 2025 batch with Jared Friedman as their primary partner. The team is four people.

The value proposition is blunt: 4% commission versus the industry standard of 12%+. That is not a rounding error. On a portfolio of ten apartments renting at $3,000 per month, that is the difference between paying $43,200 per year to a traditional brokerage and paying $14,400 to Spotlight. For landlords managing multiple units, the savings are immediate and substantial.

How they deliver at one-third the cost comes down to AI automation at every step of the process. The platform handles intake with a property questionnaire and instant valuation estimates. It distributes listings across StreetEasy, Zillow, Realtor.com, Redfin, Apartments.com, Trulia, and Facebook simultaneously. Professional photography and virtual tours are included.

The interesting part is what happens after the listing goes live. Spotlight’s AI agents handle inbound inquiries 24/7, screen applicants, and schedule showings. The “agent that never sleeps” tagline is accurate in a literal sense. A landlord does not need to answer their phone at 10pm on a Tuesday to schedule a showing for Wednesday morning. The AI handles it.

They have also built applicant screening with financial verification, digital lease preparation, and e-signature capabilities. The goal is clearly to own the entire transaction from listing to signed lease, with AI handling every step that does not require a human physically present in the apartment.

The platform claims a two-minute average response time for inquiries. For context, traditional brokers in NYC routinely take hours or days to respond to showing requests. Speed matters enormously in a market where good apartments get taken within hours of listing.

No upfront costs for landlords. The 4% commission is collected at lease signing, which means Spotlight is absorbing all the marketing and operational costs on the front end. That requires confidence in conversion rates and unit economics.

The Verdict

I think Spotlight Realty is attacking the right market with the right model at the right time. NYC rental commissions are genuinely outrageous, and the work that brokers do is largely automatable with current AI capabilities. Screening tenants, scheduling showings, distributing listings, preparing leases. None of this requires human judgment in the way that, say, negotiating a $2 million home purchase might.

The 4% number is aggressive enough to get landlords to switch but high enough to potentially build a real business. On a $3,000 apartment, 4% of annual rent is $1,440. If the AI handles 90% of the work and a human steps in for edge cases, the unit economics could work at scale.

The risk is execution at the physical layer. Real estate is not purely digital. Someone needs to take photos. Someone might need to be present at showings if the landlord cannot. Someone needs to handle the inevitable disputes, maintenance requests that come up during the leasing process, and tenants who need hand-holding. How Spotlight manages the gap between AI capability and physical-world requirements will determine whether the 4% model is sustainable or whether costs creep up toward traditional levels.

Thirty days, I want to see how many active listings they are managing and what the conversion rate looks like from listing to signed lease. Sixty days, the question is landlord retention. Do they come back with their next vacancy, or do they revert to traditional brokers? Ninety days, I want to know if they are expanding beyond NYC and whether the model translates to markets with different commission structures and tenant expectations.