# StayMatch

Aiolum story: https://aiolum.com/story/staymatch/ · added 2026-11-06 · updated 2026-11-06

**In short.** 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.

AI search of Airbnb and Booking.com stays for remote workers · United States · AI-native · solo founder · still running, revenue falling · group: Real estate and architecture visuals

- Outcome: US$490 a year in revenue, November 2026 (evidence grade of the headline number: D; headline in US dollars: 490)
- Launch: May 2025; months from launch to the outcome: 18
- Team: 1 founder listed (yaya, @YairDev, on Arrfounder); headcount not published
- Outside funding: None reported
- Main factor: Niche
- Meters, 1 to 4: evidence strength 1, copyable pattern 3, capital needed 1
- Tags: AI-native, Solo founder, Bootstrapped, Running, B2C, Travel

Links:

- Visit staymatch.ai: https://staymatch.ai/
- Verified revenue on TrustMRR: https://trustmrr.com/startup/staymatch

**The product.** A search tool for people who work while they travel. The user picks needs such as a desk with a chair, reliable Wi-Fi, a quiet place or natural light, and StayMatch reads the reviews and photos of Airbnb and Booking.com listings and returns a short ranked list. The booking itself still happens on Airbnb or Booking.com.

**Why it worked.** Booking sites filter on what hosts tick in a form, and a remote worker cares about things that hosts rarely state: street noise, a real desk, daylight. StayMatch looks for those signals in what earlier guests wrote and in the listing photos. The founder figures show that, so far, few people pay for it.

Evidence grades: A = disclosed by a public company, a filing or a payment processor, or verified by one; B = two or more independent reports agree, or a journalist confirmed it; C = a founder claim that no one else verified; D = reported, not verified: one founder claim or a third-party estimate with no second source; E = no revenue figure found, so the headline is a non-money fact and the other facts carry their own grades; calc = computed on this page from graded facts.

## Summary

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.

## Pricing

StayMatch prices in November 2026, read on the company's home page (grade C)

| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Free scan | 0 | 0 | 1 scan, no credit card |
| One-Day Pass | 10 one-time |  | 24 hours, 3 full AI scans, up to 10 matches per scan |
| Explorer | 8.33 | 20 | 6 scans a month, up to 5 matches per scan |
| Traveler | 16.67 | 30 | 12 scans a month, up to 10 matches per scan |
| Power Planner | 33.33 | 50 | 25 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.

## How much revenue does StayMatch make? The numbers, graded

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

| Fact | Value | Grade | Note | Sources |
|---|---|---|---|---|
| Revenue, founder's note, November 2026 | US$490 a year (ARR) | D | Founder-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 note | about US$40.83 a month | calc | Calculated: US$490 divided by 12. | [1] |
| Revenue on Arrfounder, October 2025 | MRR US$50, ARR US$600 | D | Arrfounder 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 figures | about 18% lower in November 2026 than in October 2025 | calc | Calculated: 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 time | US$4,804 (last 30 days: US$79.50) | D | TrustMRR, 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 date | 5 May 2025 | D | Founder-provided field on the TrustMRR profile. | [1] |
| Founder | yaya (@YairDev), 1 founder listed | D | Arrfounder product and founder pages. The founder page lists two products: StayMatch and Nomadlio. No source gives a headcount. | [2, 3] |
| Platforms searched | Airbnb and Booking.com | C | Home page: "Works with Airbnb & Booking.com". The user still books on those sites. | [4] |
| Smart filters | 18+ | C | Home 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 covered | 400,000+ listings, 190+ countries | C | Counters 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 account | 5 | D | TrustMRR metric snapshot, November 2026; the account includes another product. | [1] |
| Tech stack | Astro front end, Node.js back end, Stripe | D | TrustMRR tech stack section, founder-provided. | [1] |
| Outside funding | none reported | D | No source mentions a funding round. TrustMRR says the startup is not listed for sale. | [1] |
| Time from founding to the November 2026 figure | 18 months | calc | Calculated: 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.

## When did StayMatch launch, and how did it grow? Timeline

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.

- **5 May 2025** (grade D [1]): Founding date given on the TrustMRR profile.
- **11 May 2025** (grade C [4]): Date on the oldest testimonial shown on the home page, from a traveler planning a road trip across Italy.
- **17 October 2025** (grade D [2]): Arrfounder's StayMatch page, last updated that day, shows MRR of US$50 and ARR of US$600 as disclosed by the founder.
- **15 April 2026** (grade C [6]): Last update of the Terms of Service.
- **April 2026** (grade D [1]): The best month of the connected Stripe account in the TrustMRR timeline, US$444, for StayMatch and the founder's other product together.
- **November 2026** (grade D [1, 4]): The 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.

## Why did StayMatch work?

### 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.

### 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.

### 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.

- 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.

Sources: [1, 4, 5]

## 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.

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

### Hipmunk (2010 to 2020; funding US$55M; cause: Competition)

- 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.
- Record: 

### Room 77 (2010 to 2017; funding US$43.7M; cause: Competition)

- 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.
- Record: 

### Kopa (2019 to 2022; funding US$2M; cause: Competition)

- 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.
- Record: 

### Frontdesk (2017 to 2024; funding US$260M; cause: Unit Economics)

- 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.
- Record: 

## 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.

## Can one person copy StayMatch now?

**Verdict: 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.

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

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

## What could go wrong for StayMatch?

- **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

1. TrustMRR markdown profile: StayMatch, synced 6 November 2026 — https://trustmrr.com/startup/staymatch.md (grade D). 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. Arrfounder: Staymatch product page, last updated 17 October 2025 — https://arrfounder.com/product/staymatch (grade D). Read in full. Founder-disclosed MRR and ARR, and the founder's handle.
3. Arrfounder: yaya (@YairDev) founder page — https://arrfounder.com/@YairDev (grade D). Read in full. Lists the founder's two products, StayMatch and Nomadlio.
4. StayMatch home page with pricing, read 6 November 2026 — https://staymatch.ai/ (grade C). Read in full. Source for the product, the counters, the testimonials and the prices.
5. StayMatch features page, read 6 November 2026 — https://staymatch.ai/features (grade C). Read in full. Source for the review and photo analysis and the filters.
6. StayMatch Terms of Service, last updated 15 April 2026 — https://staymatch.ai/terms-of-service (grade C). Read the opening sections. The operator is not named beyond "the operators of StayMatch".
7. Database of failed startups, local export — /method/#dead (grade C). Local export. AI-written summaries, not independently verified. Source for the failed predecessors.

Contact: aiolum@livyden.com. Run StayMatch? Send corrections or a verified figure to aiolum@livyden.com (subject: Correction: StayMatch).