Anyone can get you a prototype now. Fewer can build the thing that still works when it has ten thousand users, an App Store review, and a feature request that breaks the original assumption. We build iOS and Android products from MVP to scale — including our own.
SHIPPED AND LIVE
ASSET TO COME: the guide wants real App Store icons linking to their listings, which is verifiable in one tap. Sweet As is confirmed live on both stores; confirm which others are publicly listed and supply their icons as PNGs.
The hard part was never the code, and it's certainly not the code now. The hard part is that people download an app once, don't find a reason to open it again, and it quietly dies on the third screen of their phone.
Apps are valued on how many people use them daily or monthly, not on how many features they have. So the question we start with isn't “what should it do” — it's “what makes someone open this tomorrow”. Everything else follows from the answer.
Which is also why we'll sometimes tell you not to build an app. If the job can be done by a good mobile site, an app adds a download, a store review and a permanent maintenance bill for no extra benefit. That's a cheaper conversation to have now than in month six.
The feature list came from a workshop, not from watching someone struggle with something.
Beautiful onboarding, then nothing. No habit, no trigger, no reason to open it again on Thursday.
The build team left, the code is undocumented, and every change costs more than the last one. This is the one AI has made much more common.
The smallest thing that tests whether people want it. Built properly, so if it works you build on it rather than starting again.
Designed around a habit. Onboarding, retention, notifications that aren't resented, and the analytics to see what's working.
Field teams, bookings, job management, inventory. Where the app replaces paper, phone calls and a spreadsheet.
Sign-up, payment, access control, renewals and churn. We've built this for our own businesses, more than once.
The prototype is clickable before anyone writes production code. You'll know what you're getting while it's still cheap to change your mind.
The apps already winning your category on the App Store and Play Store — what they get right, what they've left open, what their one-star reviews complain about.
You get: a competitor teardown and the gap we'd aim at
Map how someone goes from install to habit. Where the value lands in the first 60 seconds, and what brings them back on day two.
You get: user journey maps and a retention hypothesis
Wireframes to settle the experience, then the visual design, then a clickable prototype on a real phone.
You get: a prototype you can put in someone's hand and test
React Native, or native when the app earns it. Senior review on every merge, tested on real devices as we go.
You get: TestFlight and Play Console builds from early on
Store submission, staged rollout, then watching what people actually do. Retention is a launch metric, not a year-two one.
You get: a live app, the repo, the documentation and a walkthrough
A working prototype used to take three months and cost real money. Now it takes an afternoon, which is genuinely great — ideas get tested faster than ever.
What hasn't changed is everything after the prototype. Auth that holds up. Data that stays private. A codebase someone can still change in a year. App Store review, which has no patience for a broken build. Those are judgement problems, and generated code doesn't have judgement.
What AI does here
What a person does here
What AI does here
Boilerplate, tests, migrations, the repetitive glue
What a person does here
Decides the architecture before anything gets generated
What AI does here
Drafts implementations of a spec someone wrote
What a person does here
Writes the spec, and knows why it's that one
What AI does here
Suggests fixes and refactors
What a person does here
Sets the review standard every pull request has to pass
What AI does here
Makes the tedious parts fast
What a person does here
Owns the 2am call when something breaks
If we can't explain a line of your app, it doesn't ship.
Sweet As, the curated venue discovery app we designed and built, searches in plain English. Someone types “date night” or “a quick bite” and the app surfaces the places that actually fit. It's live on the App Store and Google Play.
That's the version that earns its place: AI doing something the interface genuinely couldn't do without it. Search that understands what someone means, support that resolves the easy 60%, personalisation that isn't creepy, data entry that disappears.
Plenty of apps are having a chatbot bolted on because the board asked for one. That costs you money per user forever and nobody uses it. We'll help you work out which of the two you're describing, and if it's the second one we'll say so.
React Native by default — one codebase, both stores, and your budget goes into the product rather than into building it twice. Native Swift or Kotlin when the app genuinely needs it, and we'll tell you when that is.
No second-class device. Blue bubbles or green, everyone gets the same experience, and we test on both.
Unit and integration tests running in CI on every change, real-device testing, think-aloud sessions with actual users, then a staged rollout.
We handle the accounts, the provisioning, the review process and the rejections. It's tedious and we've done it enough times to be quick about it.
Auth, data handling and permissions reviewed before launch. Anything touching payments or personal data gets tests.
Apps aren't finished at launch — OS updates alone force changes twice a year. Ongoing support runs on the top-up model, so you're not locked into a retainer you don't need.
Repo, store accounts, infrastructure and data, in your name from the first commit.
App work is judged visually before anything else, so each panel shows the interface. Where a screenshot does not exist yet, the panel says so.
Built the MVP that raised the round, now building the launch product.
Curated venue discovery for Sydney. Natural-language search, a live map, shareable Eatlists, and the venue-side tools operators use to run their own profile and deals. Live on both stores.
10,000+ customers served through the app
Membership, access and subscription in a product we own and run.
Car wash subscription with member perks: 5,000 subscribers, 200 merchants and hundreds of member products. Built on Node, React, MongoDB, AWS and Auth0, ready to extend into other verticals.
ASSET TO COME: the FAQ says "three to four months" for an MVP. The guide marks that a placeholder. Replace it with measured averages.
ASSET TO COME: "raised at an amazing valuation" is vague. A round size or a user figure is not. The guide flags this P1.
ASSET TO COME: users, properties reviewed or markets — anything concrete. Also worth any retention or MAU figure you can share, since the page argues apps are valued on usage.
Thirty minutes with someone who'll actually be involved in building it. We'll tell you what we'd do, roughly what it costs, and whether you should build it at all.
Already built something yourself? Bring it — a working prototype tells us more than a brief does.
