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AI search of Airbnb and Booking.com stays for remote workers · United States

StayMatch: Revenue, team and how it was built

Solo founderB2CTravel

StayMatch (AI search of Airbnb and Booking.com stays for remote workers, United States): US$490 a year in revenue, November 2026. Evidence grade D: reported, not verified. Team: 1 founder listed (yaya, @YairDev, on Arrfounder); headcount not published. Launched May 2025; still running, revenue falling.Added 6 November 2026

Outcome
US$490 a year in revenue, November 2026Revenue falling
Evidence
D reported, not verified
Launch
May 2025
Status
Still running
Team
1 founder listed (yaya, @YairDev, on Arrfounder); headcount not published
Outside funding
None reported
Main channel
Not stated
Reported, not verified

What is not verified

The headline, US$490 a year, rests on one founder note on the TrustMRR profile, read on 6 November 2026, with no date of its own. Arrfounder showed US$600 a year on 17 October 2025, also from the founder. The Stripe account connected to TrustMRR holds another product's revenue as well, so its verified totals (US$4,804 all time) are not StayMatch's alone. A reader could look for a TrustMRR profile connected to a Stripe account that holds only StayMatch, or a dated founder post with figures. The headline number is grade D: one claim or one estimate, with no second source. Aiolum shows it because the story is useful, and marks it so that it is not mistaken for a verified figure.

StayMatch is an AI search tool for short and long stays. The user sets smart filters, which are needs that the booking sites do not offer as checkboxes, such as "quiet place", "desk with chair" or "natural light", each marked "must have" or "nice to have". The product then reads the guest reviews and inspects the photos of Airbnb and Booking.com listings and ranks the stays that fit. Its home page says that it covers 190+ countries and has analyzed 400,000+ listings.

The founder appears on Arrfounder, a directory of founder-disclosed revenue, as yaya (@YairDev), who also runs Nomadlio, a guide to places for digital nomads. TrustMRR lists 5 May 2025 as the founding date. Arrfounder showed MRR of US$50 and ARR of US$600 for StayMatch on a page last updated 17 October 2025. On TrustMRR, in November 2026, the founder wrote: "Actual revenue is at $490 ARR. The stripe account revenue is combined with another product."

Both revenue figures come from the founder and neither can be checked: the TrustMRR profile is connected to Stripe, the payment processor, but the founder says that account also holds another product's sales, so the verified totals there are not StayMatch's alone. This is a very small business. The page is here as an example of the niche and of how hard paid consumer travel search is, and it shows earlier travel-search companies that failed.

StayMatch: US$490 a year in revenue, November 2026. AI search of Airbnb and Booking.com stays for remote workers, United States, solo founder, evidence grade D.
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01

How much revenue does StayMatch make?

Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.

A one-founder AI stay search that the founder reports at US$490 a year in November 2026, down from a reported US$600 a year in October 2025
FactValueGradeHow we knowSources
Revenue, founder's note, November 2026US$490 a year (ARR)DFounder-written description on the TrustMRR profile, read 6 November 2026: "Actual revenue is at $490 ARR." The note itself carries no date of its own. One statement, no second source with the same figure.[1]
Revenue per month, from the November 2026 noteabout US$40.83 a monthcalcCalculated: US$490 divided by 12.[1]
Revenue on Arrfounder, October 2025MRR US$50, ARR US$600DArrfounder product page, "Last updated: Oct 17, 2025". Arrfounder says its data is "publicly disclosed by founders themselves" and that it is not responsible for its accuracy.[2]
Change between the two founder figuresabout 18% lower in November 2026 than in October 2025calcCalculated: US$490 divided by US$600 is 0.817. The two figures come from different sources and different dates.[1, 2]
Stripe-verified revenue of the connected account, all timeUS$4,804 (last 30 days: US$79.50)DTrustMRR, synced 6 November 2026, from Stripe through an API key. The founder writes that this Stripe account also holds another product's revenue, so the figure is not StayMatch's alone; it is not used as the headline.[1]
Founding date5 May 2025DFounder-provided field on the TrustMRR profile.[1]
Founderyaya (@YairDev), 1 founder listedDArrfounder product and founder pages. The founder page lists two products: StayMatch and Nomadlio. No source gives a headcount.[2, 3]
Platforms searchedAirbnb and Booking.comCHome page: "Works with Airbnb & Booking.com". The user still books on those sites.[4]
Smart filters18+CHome and features pages: workspace, Wi-Fi, quiet, long stay, view, lighting, natural light, blackout curtains, air conditioning and more, each set to must have, nice to have or off.[4, 5]
Listings analyzed and countries covered400,000+ listings, 190+ countriesCCounters on the home page, not checked. TrustMRR shows 400,000 as "Estimated user count", which looks like the same listings counter.[1, 4]
Active subscriptions of the connected Stripe account5DTrustMRR metric snapshot, November 2026; the account includes another product.[1]
Tech stackAstro front end, Node.js back end, StripeDTrustMRR tech stack section, founder-provided.[1]
Outside fundingnone reportedDNo source mentions a funding round. TrustMRR says the startup is not listed for sale.[1]
Time from founding to the November 2026 figure18 monthscalcCalculated: May 2025 to November 2026.[1]

How to read this table: a grade D value is one founder statement or a directory figure with no second source that agrees. A grade C value is read on the company's own pages. A "calc" value was computed on this page from the rows above it. The Stripe-verified figures on TrustMRR are listed but are not used as StayMatch's revenue, because the founder says the account includes another product.

StayMatch prices in November 2026, read on the company's home page (grade C)
PlanPer month, billed yearly (US$)Per month, billed monthly (US$)Limit
Free scan001 scan, no credit card
One-Day Pass10 one-time24 hours, 3 full AI scans, up to 10 matches per scan
Explorer8.33206 scans a month, up to 5 matches per scan
Traveler16.673012 scans a month, up to 10 matches per scan
Power Planner33.335025 scans a month, up to 10 matches per scan

The home page offers one free scan with no credit card. Yearly prices are shown as savings: the Explorer plan saves US$140 a year (58%), Traveler US$160 (44%) and Power Planner US$200 (33%); the yearly column below is the monthly price minus that saving, divided by 12. The page also promises a refund with no questions asked.

02

When did StayMatch launch, and how did it grow?

From a founding date in May 2025 to a founder-reported US$490 a year in November 2026, in 18 months. Each entry carries its grade.

  1. 5 May 2025DFounding date given on the TrustMRR profile. [1]
  2. 11 May 2025CDate on the oldest testimonial shown on the home page, from a traveler planning a road trip across Italy. [4]
  3. 17 October 2025DArrfounder's StayMatch page, last updated that day, shows MRR of US$50 and ARR of US$600 as disclosed by the founder. [2]
  4. 15 April 2026CLast update of the Terms of Service. [6]
  5. April 2026DThe best month of the connected Stripe account in the TrustMRR timeline, US$444, for StayMatch and the founder's other product together. [1]
  6. November 2026DThe founder's note on TrustMRR gives StayMatch's actual revenue as US$490 ARR. The site is live with four paid options and one free scan. [1, 4]
03

Why did StayMatch work?

Four causes, in the order they mattered. Each one is a reusable lesson.

01

A narrow user with a clear need

The product is built for remote workers, digital nomads and long stays, people for whom a bad desk or a noisy street ruins a month of work. Booking-site filters do not cover these needs, so the tool has a clear reason to exist.

02

Reading what guests already wrote

The features page says the AI reads every review for noise, cleanliness and host response, and checks photos for the real workspace and the light. The result is a short list with pros and cons per listing instead of 50 open tabs.

03

A free scan, then small plans

The home page gives one free scan, then a one-day pass or a monthly plan. A traveler searches only a few times a year, which may explain why the founder figures stay small: according to the founder, revenue was US$490 a year in November 2026.

How it was built

These details come from the company's pages and the founder-provided TrustMRR profile. They are grades C and D. [1, 4, 5]

  • Front end in Astro, back end in Node.js, payments through Stripe, as the TrustMRR tech stack section lists.
  • The AI reads guest reviews and inspects listing photos from Airbnb and Booking.com, then ranks the listings against the user's must-have and nice-to-have filters.
  • The pages do not name the AI model or its provider.
  • Use-case pages for remote workers, digital nomads and long stays, and a blog with its own sitemap.
  • The founder's social accounts linked from the site are those of Nomadlio, the founder's other product for digital nomads.

Tools named in the sources

Each one opens its page in the Tools tab, with every story that uses it.

04

Who tried this before StayMatch, and why did they fail?

Four companies in our database of failed startups tried to make finding a room or a stay easier and failed. The values below are from that database and are not independently verified.

Died 2010 to 2020Burned US$55M

Hipmunk

The promise

Travel search that showed flights and hotels in a clearer way than the big booking sites.

Why it died

Google Travel and Expedia took the market, mobile booking apps replaced it, and the pandemic hit travel.

Competition
Died 2010 to 2017Burned US$43.7M

Room 77

The promise

A hotel search engine with detailed facts about each room, its view and its price across booking sites.

Why it died

It could not stand apart from Expedia and Booking.com and depended on third-party booking sites for revenue.

Competition
Died 2019 to 2022Burned US$2M

Kopa

The promise

Medium-term housing for professionals and interns, longer than an Airbnb stay and shorter than a lease.

Why it died

Airbnb added longer stays, and Kopa could not gather enough good listings.

Competition
Died 2017 to 2024Burned US$260M

Frontdesk

The promise

Furnished apartments for business travelers and digital nomads, run as a branded network.

Why it died

It leased buildings and carried fixed rent while occupancy was low.

Unit Economics

The failed startups come from our database of 1,749 dead startups, retold here in our own words. Its entries are AI-assisted summaries of public sources, so these cards carry no evidence grade.

What changed

Hipmunk and Room 77 tried to present hotel data better than the big booking sites and lost to Google, Expedia and Booking.com. Kopa and Frontdesk built their own supply of stays for remote workers and could not make it pay. StayMatch does neither: it holds no listings and runs no booking, it only reads what is already on Airbnb and Booking.com.

What is new is that a language and vision model can read hundreds of reviews and photos per listing at low cost, so one person can offer a check that used to need a team. What is not new is the risk: the booking sites can add the same filters themselves, and a traveler needs the tool only a few times a year.

05

Can one person copy StayMatch now?

Yes, it is cheap to copy; making it pay is the hard part.

One person can build a review-and-photo reader for one kind of traveler with current AI models. The founder figures show that charging travelers a subscription is hard: according to the founder, revenue was US$490 a year in November 2026.

Where it is still open: Other narrow needs in travel and housing: accessibility checks, noise for light sleepers, families with small children, long-term rentals.

  1. 1Pick one traveler with needs the booking sites do not filter for (remote workers, families, people with a disability).
  2. 2Turn those needs into filters and let a model check them in reviews and photos.
  3. 3Give the first scan free, and sell a short pass for people who search once a year.
  4. 4Find out how the booking sites allow their data to be used before you build on it.

What could go wrong for StayMatch?

The risks are the mirror image of the causes above.

What is not verified

The headline, US$490 a year, rests on one founder note on the TrustMRR profile, read on 6 November 2026, with no date of its own. Arrfounder showed US$600 a year on 17 October 2025, also from the founder. The Stripe account connected to TrustMRR holds another product's revenue as well, so its verified totals (US$4,804 all time) are not StayMatch's alone. A reader could look for a TrustMRR profile connected to a Stripe account that holds only StayMatch, or a dated founder post with figures.

Use of Airbnb and Booking.com data

The product reads listings, reviews and photos from Airbnb and Booking.com. The pages read for this story do not say whether it uses a partner feed, an official interface or public listing pages. Booking sites set their own terms for automated use of their pages.

Testimonials and counters

The home page shows four testimonials with first names, a role and a city, not linked to a profile. The home page counter of 400,000+ listings analyzed appears on TrustMRR as an "Estimated user count" of 400,000. Neither could be checked.

Competition and dependence

On this site, Hotelist and Let's Trip AI also apply AI to finding stays, and the booking sites can add similar filters themselves. No page read for this story names the AI model provider, so the dependence on a model maker is unknown; the product depends fully on access to Airbnb and Booking.com listings.

Falling founder figures

The founder figures went from US$600 a year in October 2025 (Arrfounder) to US$490 a year in November 2026 (TrustMRR note), about 18% lower. The combined Stripe account also shows lower months after April 2026.

Sources

The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.

  1. D TrustMRR markdown profile: StayMatch, synced 6 November 2026
    Read the markdown profile. The Stripe-verified totals include another product, as the founder's description says; the founder note, founding date and tech stack are founder-written.
  2. D Arrfounder: Staymatch product page, last updated 17 October 2025
    Read in full. Founder-disclosed MRR and ARR, and the founder's handle.
  3. D Arrfounder: yaya (@YairDev) founder page
    Read in full. Lists the founder's two products, StayMatch and Nomadlio.
  4. C StayMatch home page with pricing, read 6 November 2026
    Read in full. Source for the product, the counters, the testimonials and the prices.
  5. C StayMatch features page, read 6 November 2026
    Read in full. Source for the review and photo analysis and the filters.
  6. C StayMatch Terms of Service, last updated 15 April 2026
    Read the opening sections. The operator is not named beyond "the operators of StayMatch".
  7. C Database of failed startups, local export
    Local export. AI-written summaries, not independently verified. Source for the failed predecessors.

Run this company? Send corrections or a verified figure to aiolum@livyden.com

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