Born at a Rainy Bus Stop — How a Self-Taught Scottish Designer Grew Momego to 5.2M Installs and $30K/Month on Localized ASO Alone

Background & product

Momego is a public-transit tracker that shows the live location and predicted arrival of buses and trains on a map. Widgets and Live Activities put ‘minutes until the next one’ on your lock screen, and stop alerts keep you from missing your stop. It’s deliberately not a flashy AI product — it leans all the way into an unglamorous utility people use every single commute.

It was built by John McEvoy of Edinburgh, Scotland. Originally a graphic designer, in 2012 he taught himself to code to scratch his own itch — ‘I just want to know when my bus is coming’ — and shipped an arrival app for his home city. He has developed it solo ever since (as a one-person Transit Now ltd, under the TravelWhiz brand), and it now covers 160 cities worldwide.

The striking part is how he gets users. Momego does not lean on influencers, viral videos, or big paid campaigns. Its primary growth engine is relentless ‘localized ASO’ — optimizing App Store titles and keywords in the local language for each city, so the app ranks for the real search terms people use (‘bus times,’ or the local-language equivalent). By crafting store metadata down to each country’s language, he pulls new users from each city’s organic search with no CAC. A solo indie developer out-ranking well-funded transit giants on the search surface.

Monetization didn’t click overnight. It went through three rebuilds — up-front paid, then an ad-supported model, then today’s subscription — before it fit. Free core features with premium extras (widgets/Live Activities) behind a subscription now drive $30K MRR and ~400K DAU. Call it a ‘14-year overnight success’: a case study in slow compounding.

The repeatable playbook

1. 1Target ‘unglamorous daily-use utility × search’ niches (small everyday pains are universal, no virality or AI required)
2. 2Make localized ASO the primary engine: optimize store metadata to each locale’s real search terms, opening a new organic pipe with every city you add
3. 3Design retention with reverse trials + widgets/Live Activities (wedge into the lock screen daily so the reason to cancel disappears)
4. 4Layer Apple Search Ads thinly and profitably, only on keywords organic ASO has already proven (validate first, ads later)
5. 5Don’t expect to nail monetization once — plan to rebuild it (Momego pivoted paid → ad → subscription)
6. 6Continuously A/B icons, pricing, and onboarding to lift conversion operationally

Deep dive

【Deep dive】Momego is a rare ‘non-AI, non-viral, non-US’ utility in this database. How did an utterly unflashy transit tracker compound to $30K MRR as a one-person shop? Broken down in order of impact.

■ Moat #1: Localized ASO = ‘translatable’ user acquisition. The biggest weapon is crafting App Store metadata (title/subtitle/keywords) per city and language — ‘localized ASO.’ Transit search terms differ by country (‘bus times’ in English; the local-language equivalent elsewhere). McEvoy doesn’t settle for bulk machine translation; he optimizes to the real search terms of each locale. So every new city he supports opens a fresh pipe of ‘that city’s organic search.’ It scales at zero CAC — and because most competitors optimize mainly for English, it’s a gap where an individual can beat well-funded incumbents. The bulk of 5M+ installs traces to this organic source.

■ Moat #2: Apple Search Ads layered on *after* organic works. Rather than forcing scale with ASA, McEvoy layers ads profitably onto keywords that localized ASO has already proven. The order is ‘validate demand and winning angles organically → then spend a thin layer on top.’ It’s the transit-utility version of Cal AI’s ‘validate first, ads later’ — so budget isn’t burned on terms that don’t land.

■ Retention design: reverse trials × widgets/Live Activities. The revenue base is subscription *retention*. In his own interview, McEvoy says that on mobile a ‘reverse trial’ (give premium up front, drop to free when it expires) beats the standard free trial. On top of that, a widget and Live Activity that surface ‘minutes to the next bus’ on the lock screen every morning wedge the app into the user’s daily path — which erases the reason to cancel. For a utility, the fastest churn-killer is ‘remind them daily through the feature itself.’

■ Slow compounding: 14 years, three monetization pivots. Momego started in 2012. It went paid → ad-supported → subscription — three rebuilds — before the model fit. There’s no splashy launch story; instead it compounded through the unglamorous grind of ‘add one more city, optimize one more language’s store listing, swap the pricing model based on tests.’ It’s the opposite of the ‘18-month rocket’ — a model for long-horizon, low-risk indie development.

■ Takeaways for indie builders. (1) Even without flashy AI or virality, there are still ‘daily-use utility × search’ niches you can win. (2) Treat ASO not as a one-off but as an asset that grows with every city and language (write your own Japanese store copy too). (3) Layer paid ads thinly, only after organic reveals the winning terms. (4) For utilities, drive retention by wedging into daily life via widgets/Live Activities. (5) Don’t expect to nail monetization on the first try — plan to rebuild the model until it fits the product.