Snag, the AI powered New York City sublet marketplace founded by Selin Sonmez and Niko Georgantas, secured a $4 million seed round led by Slow Ventures.
Snag, a New York-based AI native marketplace for sublets, rooms, and short term housing targeted at Gen Z and flexible urban renters, closed a $4 million seed round, led by Slow Ventures. Participants include Precursor Ventures, Long Journey Ventures, Chamaeleon, and angels such as tennis player Sloane Stephens and Brian Kelly (The Points Guy). The company has raised approximately $8.6 million in total funding to date.
What is Snag?
Snag was founded in 2020 (originally as OneRoof) by co-founders Selin Sonmez (CEO, a 3x consumer founder focused on city living and community) and Nikos Georgantas (CPO). The pair previously built a hyperlocal social network for apartment building residents. As that platform scaled across thousands of buildings, they observed heavy organic activity around rooms, sublets, and lease takeovers, signaling that younger renters were already solving housing flexibility needs via informal channels like Instagram Stories, Facebook groups, group chats, and Craigslist, well ahead of traditional infrastructure.
Snag formalizes this behavior into a structured marketplace. It sits in the gap between long term platforms like Zillow and short term ones like Airbnb, emphasizing monthly/sublet liquidity for students, young professionals, creators, and others who move frequently or lack traditional 12 month lease credentials (steady salary, employer verification). The platform supports listing management, direct messaging, audio/video calls, multimedia, mutual phone contact verification for trust, and AI driven features that convert social posts into high quality listings and match renters quickly.
Headquartered in New York (with references to Brooklyn and a Manhattan address), the company remains small (around 4–5 employees in recent profiles) and is generating revenue.
Key reported figures around the raise include:
- More than 4,500 listings in New York (with earlier a16z Speedrun mentions of ~3,000).
- Average listing finds a renter in about 3 days.
- Roughly $6.5 million in requests generated in a recent 30 day period, with ~40% month over month growth.
- Strong organic distribution: a team managing ~10 creator accounts has driven ~90 million organic TikTok views; about one third of growth now comes from word of mouth.
The site itself highlights active NYC inventory (private rooms, 1-bedrooms, etc., across neighborhoods like East Village, Williamsburg, and Morningside Heights) with real time interest signals (dozens of “interested” users per listing) and claims that 30,000 students have used the platform for sublets. An iOS app is available focused on sublets, roommates, and flexible housing.
This traction reflects demand for liquid, lower friction housing in high cost cities where traditional leasing is slow, expensive, and poorly matched to mobile lifestyles.
Funding History and Context
Prior rounds (per PitchBook):
- January 2021: Accelerator/incubator, $150K.
- October 2021: Seed, $1.25M (raised to date ~$1.4M).
- January 2023: Seed.
- April 2026: Accelerator/incubator.
- September 22, 2026: Seed, $4M (latest).
Total raised stands at ~$8.6 million across these. Earlier iterations under the OneRoof name focused more on neighbor social networking before the pivot/emphasis on the sublet marketplace. The company has also been associated with a16z’s Speedrun program and mentions of General Catalyst backing in founder profiles.
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The $4M seed is a classic early stage check for a consumer marketplace showing clear product market fit signals (rapid matching velocity, organic growth via creators/social, measurable request volume). Slow Ventures, known for early consumer, creator economy, and generalist seed investing (portfolio includes names like Slack, Robinhood, Airtable historically), is a natural lead given the social/creator distribution angle and the founders’ repeat consumer experience.
The sublet and flexible rental market remains highly fragmented and inefficient. Millions of transactions still occur in untrusted, low structure environments (Facebook groups, Instagram, Craigslist). Regulatory and landlord constraints around short term/subletting create friction, while demographic shifts, higher mobility among Gen Z, rise of creators/freelance work, post pandemic hybrid lifestyles, and housing affordability pressures in gateway cities, expand the addressable need.
Snag’s AI layer (converting messy social inventory into structured listings + fast matching) and trust features aim to professionalize the category without full hotel/Airbnb operational overhead. Success metrics so far (3 day fill times, strong NYC density, creator fueled acquisition) suggest the model works where inventory and demand density are highest. Expansion potential exists in other high cost, high mobility markets, additional verticals (e.g., roommate matching, lease takeovers), or tools for landlords/property managers.
Risks typical of marketplaces apply: chicken and egg liquidity, regulatory scrutiny on subletting, competition from incumbents adding flexible features or from other proptech/social housing plays, and the need to maintain trust/safety at scale. The lean team and capital efficient growth to date are positives for a seed stage company.
The capital should support continued product development (deeper AI matching and listing quality), geographic or vertical expansion beyond core NYC density, creator/marketing engine scaling, and team growth while the unit economics of rapid matching remain favorable. Backing from Slow Ventures plus domain relevant angels (Stephens for cultural reach; Kelly for travel/points audience adjacency) adds distribution and credibility leverage.
Overall, the raise validates a clear insight: housing infrastructure has lagged the behavioral shift toward flexibility among younger cohorts. Snag is attempting to build the dedicated marketplace layer for that shift, with early quantitative proof points in its primary market and a capital base now better sized to accelerate.
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