# Let's Trip AI

Aiolum story: https://aiolum.com/story/lets-trip-ai/ · added 2026-11-06 · updated 2026-11-06

**In short.** Let's Trip AI (AI trip planner with hotel and flight price alerts, United States): US$2.3K verified revenue all time, November 2026. Evidence grade A: disclosed by a company or a filing, or verified by a payment processor. Team: 1 founder listed (Alon); headcount not published. Launched January 2024; still running, revenue falling.

AI trip planner with hotel and flight price alerts · United States · AI-native · solo founder · still running, revenue falling · group: Real estate and architecture visuals

- Outcome: US$2.3K verified revenue all time, November 2026 (evidence grade of the headline number: A; headline in US dollars: 2316)
- Launch: January 2024; months from launch to the outcome: 34
- Team: 1 founder listed (Alon); headcount not published
- Outside funding: None stated
- Main factor: Search pages
- Meters, 1 to 4: evidence strength 3, copyable pattern 3, capital needed 1
- Tags: AI-native, Solo founder, Bootstrapped, Running, B2C, Travel

Links:

- Visit letstrip.ai: https://letstrip.ai/
- Verified revenue on TrustMRR: https://trustmrr.com/startup/let-s-trip-ai

**The product.** A web app for people who plan their own trips. The user describes a trip in one sentence, and the AI writes a day-by-day itinerary with a map, restaurants and tips from public Reddit travel discussions. The user can edit every stop. A second part watches the prices of hotels and flights that the user picked and sends an alert when a price falls.

**Why it worked.** It is a small, honest example, not a large success. The free plan gives three itineraries, and the paid plan costs US$5 a month during a discount. Many generated itinerary pages for places and day trips bring visitors from search engines. Stripe data shows US$2,316 of revenue in about 34 months, and the founder has listed the business for sale.

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

Let's Trip AI is an AI trip planner: a web app in which a large language model turns a short request, such as "2 days trip to Seattle with my husband", into a day-by-day travel plan. The plan is shown with a map, and the user can move, replace or annotate every stop. The product also has a price tracker, a program that checks the price of a chosen hotel or flight again and again and sends an alert when the price falls. A copy of the home page in the Internet Archive shows the site live in a free beta on 27 January 2024.

The founder is listed on TrustMRR as Alon, with the United States as the country. TrustMRR reads the revenue directly from the company's Stripe account through an API key. On 6 November 2026 it showed US$2,316 of revenue all time, US$1,540 in the last 12 months, US$136 of monthly recurring revenue (MRR, the subscription revenue that repeats each month) and 105 active subscriptions. The same profile lists the business for sale since 15 July 2026 at an asking price of US$9,000. The founder's message there says he does not have time to work on it actively.

This is one of the smaller stories on the site. The revenue is verified by the payment processor (grade A), but it is about US$128 a month on average over the last year. The page shows what a solo AI consumer app with search traffic earns, and five failed travel startups that tried personalized planning before language models.

## Pricing

Let's Trip plans on 6 November 2026, from the company's pricing page (grade C)

| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Basic | 0 | 0 | 3 itineraries per account; hotel and flight price trackers as a free trial |
| Premium | 4.17 | 5 | Unlimited itineraries, hotel and flight price trackers, smarter AI models, audio guides |

The page shows a "Fall Discount": the monthly plan is shown as US$10 crossed out and US$5, the yearly plan as US$100 crossed out and US$50. The yearly column below is US$50 divided by 12. The TrustMRR profile, written by the founder, lists an older "Summer Escape Deal" of US$10 a year.

## How much revenue does Let's Trip AI make? The numbers, graded

US$2,316 of Stripe-verified revenue in about 34 months from one founder's AI trip planner, now listed for sale at US$9,000

| Fact | Value | Grade | Note | Sources |
|---|---|---|---|---|
| Revenue all time, 6 November 2026 | US$2,316 | A | TrustMRR, read from Stripe through an API key; revenue last synced 6 November 2026. | [1] |
| Revenue in the last 12 months | US$1,540 | A | TrustMRR. The 12 monthly values from November 2025 to October 2026 add up to US$1,540.14. | [1] |
| Monthly recurring revenue, November 2026 | US$136 | A | TrustMRR snapshot; MRR growth in the last 30 days -4.2%. | [1] |
| Active subscriptions | 105 | A | TrustMRR snapshot. The founder-written text on the same profile says 84 active subscriptions, an older figure. | [1] |
| Average MRR per subscription | about US$1.30 a month | calc | Calculated: 136 divided by 105 equals 1.30. Far below the US$5 monthly price, so many subscriptions are probably cheap yearly deals such as the US$10 a year offer; this is an inference. | [1, 3] |
| Best and latest months | US$216 (November 2025), US$204 (September 2026), US$147 (October 2026) | A | TrustMRR monthly timeline. Revenue in the last 30 days changed by -34.6%. | [1] |
| Last 3 months against the 3 months before | US$496 against US$288 | calc | Calculated: last 6 months US$784 minus last 3 months US$496 equals US$288; the rise is 72%. | [1] |
| Registered users | 7,200 | C | Founder-written text on the TrustMRR profile. The home page says "Loved by 50k+", a larger number with no source. | [1, 2] |
| Visitors in the last 30 days | 3,384 | A | TrustMRR, Google Analytics connected. Revenue per visitor US$0.04. | [1] |
| Asking price | US$9,000, listed 15 July 2026 | C | TrustMRR acquisition section; 2 offers received. The site gives a revenue multiple of 5.5x. | [1] |
| Asking price against the run rate | 5.5 times | calc | Calculated: 136 times 12 equals 1,632; 9,000 divided by 1,632 equals 5.51. | [1] |
| First copy of the site | 27 January 2024, free beta | C | Internet Archive copy. The site says "Enjoy our complete services for free during our Beta phase". TrustMRR gives 15 February 2024 as the founded date. | [8, 1] |
| Months from launch to the headline | 34 | calc | Calculated: January 2024 to November 2026. | [1, 8] |
| Stack | Astro, Python, MongoDB, AWS, Stripe | C | Founder-written tech stack on the TrustMRR profile. The page files of the site are served from /_astro/ paths. | [1, 2] |
| Team and funding | 1 founder listed; no funding stated | C | TrustMRR lists one founder. No source gives a headcount or an investment. | [1] |

How to read this table: a grade A value was read from the company's Stripe account by TrustMRR. A grade C value comes from the company's own pages or from founder-written profile text. A "calc" value was computed on this page from the rows above it.

## When did Let's Trip AI launch, and how did it grow? Timeline

From a free beta in January 2024 to a for-sale listing in July 2026. Each entry carries its grade.

- **25 January 2024** (grade C [8]): The newest itinerary on the home page, a trip to Portugal, carries this date. The site is a free, ad-free beta and also offers a music selection for each itinerary.
- **15 February 2024** (grade C [1]): Founded date given on the TrustMRR profile.
- **November 2025** (grade A [1]): US$216 of revenue, the best month in the public 12-month timeline.
- **15 July 2026** (grade C [1]): The founder lists the business for sale on TrustMRR at US$9,000.
- **27 September 2026** (grade C [2]): The latest generated pages on the home page, lists of day trips from Erie, Pensacola and Greenville.
- **October 2026** (grade A [1]): US$147 of revenue, after US$204 in September.
- **6 November 2026** (grade A [1]): Stripe data: US$2,316 all time, US$136 MRR, 105 active subscriptions.

## Why did Let's Trip AI work?

### Search pages

The founder lists SEO as the marketing channel. The site has many generated pages: itineraries by country and state, lists such as "10 Best Places for Day Trips from Erie, PA", holiday and honeymoon planners, and restaurant maps. Each page can bring a visitor from a search engine to the planner.

### A free start, a cheap plan

Three free itineraries let a visitor try the planner. After that, unlimited itineraries and the price trackers cost US$5 a month or US$50 a year during the discount. Low prices lower the barrier but give low revenue per user: about US$0.32 per registered user all time (calculated: 2,316 divided by 7,200).

### Price alerts as a reason to stay

An itinerary is used once. A price tracker keeps working until the trip is booked, so it gives a reason to keep the subscription during the planning weeks.

## How it was built

These details come from the founder-written part of the TrustMRR profile and from the company's own pages. They are grade C.

- Astro for the website, with Python, MongoDB and AWS behind it, and Stripe for subscriptions.
- Named AI "models" on the site, such as AI-Columbus and AI-Magellan for paid users and AI-MarcoPolo for free users. The site describes AI-Columbus as fine-tuned. No page names the company that provides the underlying language models.
- Context for itineraries from Google Maps, public Reddit discussions, public YouTube, Instagram and TikTok posts, and Wikipedia, as the data sources page lists them.
- The site is offered in English, Hebrew, Russian and Ukrainian.

Sources: [1, 4, 5, 2]

## Who tried this before Let's Trip AI, and why did they fail?

Five companies in our database of failed startups tried personalized travel planning or travel search before language models. 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.

### Utrip (2012 to 2019; funding US$4.7M; cause: Unit Economics)

- Promise: Machine-learning itineraries built from millions of data points for individual travelers.
- Why it died: Its travelers and small travel businesses could not pay enough to cover the cost of a custom AI system, and free alternatives took the users.
- Record: 

### Desti (2012 to 2014; funding US$2M; cause: Unit Economics)

- Promise: An AI travel app that collected information from many websites and recommended hotels and restaurants.
- Why it died: Users liked the recommendations and then booked on large booking sites, so Desti did not capture the revenue.
- Record: 

### Jetpac (2011 to 2016; funding US$2.5M; cause: Competition)

- Promise: City guides built by machine learning from public Instagram photos.
- Why it died: Google bought it in 2014 and closed the service in 2016. The product depended on another platform's public data.
- Record: 

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

- Promise: Travel search that sorted flights and hotels by how unpleasant they were, not only by price.
- Why it died: Google Travel and Expedia offered more, and the COVID-19 pandemic cut travel in 2020.
- Record: 

### WorldMate (2000 to 2014; funding US$12M; cause: Competition)

- Promise: A mobile travel assistant with flight alerts, hotel booking and itinerary management.
- Why it died: Google, Kayak and TripIt offered similar services with more integrations.
- Record: 

## What changed

Utrip and Desti needed their own recommendation systems and millions of dollars to build them. Both failed because travelers would not pay enough to cover that cost, or booked elsewhere. A language model now writes a reasonable day-by-day plan from one sentence, so one person can run a trip planner without a data team.

What did not change is the money problem. Let's Trip AI charges US$5 a month during a discount, and Stripe data shows about US$128 a month on average over the last year. Desti's lesson, that users plan on one site and pay on another, still holds: the price alerts send users to book at hotels and airlines, and no source shows booking commissions.

## Can one person copy Let's Trip AI now?

**Verdict: Easy to copy, hard to make large.**

One person built and runs it on rented models and public data. The same simplicity means many copies exist, and large booking and search companies add AI planning to their own products. The verified revenue shows that this kind of product, alone, earns little.

1. Generate one useful page for each place and each common trip, so that search engines can send visitors.
2. Give a few free plans, then charge for unlimited use and for something that keeps working, such as price alerts.
3. Connect the revenue to a public verification service such as TrustMRR, which also helps when selling the business.

**What is still open.** A planner for one kind of traveler with special needs may earn more per user: travel with a wheelchair, with a dog, or business travel with a company policy. The site already has a dog-friendly category.

## What could go wrong for Let's Trip AI?

- **Small and falling revenue.** October 2026 revenue, US$147, was 32% below the best month of the public timeline (US$216, November 2025), and revenue in the last 30 days changed by -34.6%. The last three months together were 72% higher than the three months before. The founder listed the business for sale on 15 July 2026 and says he has no time to work on it actively.
- **Counters and testimonials.** The home page says "Loved by 50k+" with a five-star rating, while the founder-written profile gives 7,200 registered users and Stripe shows 105 active subscriptions. The six testimonials carry a first name and an initial only, such as "Mary C.". No source checks these.
- **Public content as input.** The data sources page says itineraries use public Reddit discussions and public YouTube, Instagram and TikTok posts. No source says whether this content is read through official APIs or how its use is licensed. The 2024 version of the site offered a music selection for each itinerary; no source says how the music was licensed.
- **Competition.** Travel planning is a crowded consumer category: Hotelist, another solo travel story on this site, ranks hotels with AI and earns from booking links, while Let's Trip AI earns from small subscriptions.
- **Dependence on model providers.** The AI models page shows branded models (AI-Columbus, AI-Magellan and others) and calls one fine-tuned, but no downloaded page names the provider of the underlying language model. A price or policy change by that provider would change the cost of each itinerary.

## Sources

1. TrustMRR profile: Let's Trip AI (Stripe-verified revenue, synced 6 November 2026) — https://trustmrr.com/startup/let-s-trip-ai (grade A). Read the markdown profile in full. Revenue, MRR, subscriptions and visitors are read from Stripe and Google Analytics (grade A); description, user count, stack and the sale message are founder-written (grade C).
2. Let's Trip home page: AI Trip Planner with Price Alerts — https://letstrip.ai/ (grade C). Read in full on 6 November 2026. Source for the features, the user counter, the testimonials and the generated pages.
3. Let's Trip pricing page — https://letstrip.ai/pricing (grade C). Read in full on 6 November 2026. Source for the plans and the fall discount.
4. Let's Trip: Our AI Travel Models — https://letstrip.ai/authors (grade C). Read in full. Source for the branded AI models and the fine-tuning claim.
5. Let's Trip: Travel Data Sources — https://letstrip.ai/data-sources (grade C). Read in full. Source for the public content used in itineraries.
6. About Let's Trip — https://letstrip.ai/about (grade C). Read in full. Source for the free plan limits and the target users.
7. Let's Trip Terms — https://letstrip.ai/terms (grade C). Read in full. Governed by the laws of the State of Washington; travel-agent partners may receive itinerary preferences.
8. Internet Archive copy of letstrip.ai, 27 January 2024 — https://web.archive.org/web/20240127164135/https://letstrip.ai/ (grade C). Read in full. Source for the beta launch and the earliest itinerary date.
9. 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 Let's Trip AI? Send corrections or a verified figure to aiolum@livyden.com (subject: Correction: Let's Trip AI).