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Built and run by us

Seven products. Every one started as our own problem.

Client work is on the work page. These are ours. We pay the hosting bill, answer the support email, and live with every architecture decision — which is the only real test of the way we build.

7

products we build and operate

20+

products shipped in total

5

live or in production today

0

of them handed over and forgotten

Revexa OS home screen showing ad spend, revenue, return on spend and the latest leads

Revexa OS

In production

Calls the lead in seconds, then proves which ad paid for it

The problem

A lead fills in a Meta form at 11pm. Someone calls them at 10am tomorrow, by which point three competitors already have. Meanwhile the ad platform is optimising towards whoever generates the most form fills, not the most revenue — so the budget quietly drifts to the worst leads.

A console that phones a Meta or Google lead within seconds of the form submission and qualifies them against rules the operator wrote in plain language. If they qualify, it books the appointment. When the sale closes, it traces the revenue back to the exact ad and creative that produced it, then reports that conversion to the ad platforms so they optimise on revenue instead of form fills.

  • The call goes out while the form confirmation is still on the lead's screen
  • Plain-language qualification rules the operator edits themselves
  • Closed-loop attribution back to Meta and Google conversions APIs
  • Four surfaces: watch the money, work the leads, run campaigns, prove the maths
For
Anyone buying leads on Meta or Google who cannot say which ad produced the last closed sale.
Why we built it
Every tool in this space solves one half: a dialler that knows nothing about attribution, or an attribution product that cannot pick up a phone. Closing the loop is the whole point, so it had to be one system.
SaaS · RevOps
Next.jsReact 19TypeScriptTailwindshadcn/ui
OrbitPlus landing page showing the automatic-zoom screen recorder and its lifetime pricing

OrbitPlus

Private beta

Local-first screen recorder and automatic-zoom editor

The problem

Recording a product demo is easy. Making one worth watching means manually keyframing a zoom on every click, which is why most founder demos are a flat screen recording nobody finishes.

Record your browser and the clicks turn into smooth camera moves. Every one of them stays editable, and the footage never leaves the machine. A Next.js product plus a Chromium extension that captures screen, microphone, camera, cursor and interactions.

  • Click-aware automatic zooms and follow-cursor pans
  • Screen, camera, microphone, captions and effects on one timeline, every zoom still editable
  • Local MP4/WebM export — no media upload step
  • One-time $119 lifetime price across four devices, not a subscription
For
Founders, developer-advocates and solo marketers who ship their own demo videos.
Why we built it
We were making demo videos for our own launches and paying a subscription to upload our footage to somebody else's server to do it. Local-first was the point.
Creator tool · Desktop-class web app
Next.jsChromium extensionWebCodecsPaddle
orbitplus.app →
Titra listings in Kinshasa, each showing a trust score and how many documents were read

Titra

Prototype

A trust score for handwritten property documents in the DRC

The problem

In the DRC, a property title is often a handwritten page. A buyer has no way to tell a sound document from an unsound one before signing, and no registry API exists to ask.

A French-first property marketplace for the Democratic Republic of the Congo. Titra reads a property document — typed or, as is common in the DRC, handwritten — pulls out what is actually on the page, and applies a versioned rule set to produce an explainable trust score. A score, not a certificate.

  • Bilingual FR/EN, French first, resolved server-side so the first byte is already in the right language
  • Versioned scoring rules — the badge comes from the score, not from the listing copy
  • Decision support for a human, explicitly not a legal certification
  • No authoritative DRC land registry is connected, so 10 of the 100 points are permanently outstanding, and the product says so
For
Buyers, sellers and the notaries, agents and inspectors between them, in Kinshasa first.
Why we built it
The interesting problem is not the marketplace, it is producing a score a human can argue with. Every point is traceable to a named rule and a line in the document.
Marketplace · Document AI
Next.jsOpenAI visionServer-rendered i18n
HowWeMet landing page: the next great how-we-met starts at your house party

HowWeMet

Live

Matchmaking for the room you are already in

The problem

A host puts fifty people in one room and hopes the right two talk. They usually do not, because the room sorts itself into the groups it arrived in.

Guests answer a short question set, the product matches everyone in the room, and the reveal lands at the same second for everybody. Built for house parties, singles nights and team offsites — ten-minute setup, no app to install, phone numbers masked on every plan.

  • Event templates that pre-fill mode, question set and reveal timing
  • AI question suggester with a workplace-vetted bank for professional events
  • Door check-in so no-shows never pollute the match pool
  • Free up to 50 guests, $99 per event beyond that
For
Party hosts, community organisers and teams running an offsite.
Why we built it
We had already built a 50,000-user events platform for someone else. This is the small, sharp version of the part that actually made those events work.
Consumer · Events
Next.jsTypeScriptWhatsApp/SMS delivery

Offline Ops

In production

The back office behind Offline by Happy Hour

The problem

A growing travel and events business runs on five spreadsheets, a WhatsApp thread and one person who knows where everything is. Then that person takes a holiday.

The operations system that runs the Offline by Happy Hour business. Bookings, traveller records, CRM and pipeline, itineraries, invoicing, receipts, payments, tax handling and finance reporting sit in one console, so the answer to any question about a trip is in one place rather than five files.

  • Bookings, travellers, trips and itineraries as one data model
  • Invoice and receipt generation as real PDFs, not screenshots
  • Payments, international tax handling and finance reporting
  • Built for the same team behind the Shark Tank India platform we shipped
For
The operations team behind Offline by Happy Hour.
Why we built it
Nothing off the shelf modelled bookings, travellers, itineraries, invoices and international tax as one thing. Buying four tools and reconciling them by hand is what we were replacing.
Internal tool · Operations
Next.jsSupabaseReact PDFOpenAI

SwiftPatch

Live

Over-the-air deployment for React Native

The problem

A one-line fix in a React Native app waits days for an app store review while the bug stays live in production.

Ship a React Native update without waiting on an app store review. A deployment platform the studio built and maintains for its own mobile work first.

  • A JavaScript-level fix reaches installed apps without a new store submission
  • Our own React Native releases run on it, which is why it is still maintained
For
Teams shipping React Native apps, starting with ours.
Why we built it
We hit the problem on our own mobile releases first. Building it was cheaper than living with the review queue.
Developer platform
React NativeNode.jsTypeScript
swiftpatch.io →

NovaX

Live

AI-assisted audience growth, running on our own accounts first

The problem

Growing an audience is a daily habit, and the tooling for it is either a scheduler with no judgement or an AI that writes things you would never post.

An AI-assisted social growth product the studio builds and runs on its own accounts. It is live and it is early. It is listed here because a studio that claims to operate its own products should list all of them, including the small ones.

  • We post through it ourselves, which is the only reason it keeps getting fixed
For
Founders and operators building an audience alongside a product.
Why we built it
A studio that tells clients to measure what they ship should be running its own growth on something it can see inside.
SaaS · Growth
Next.jsNode.jsOpenAI
novax.hyperbrainlabs.com →

Why this page exists

A studio that runs its own products has to live with its decisions

Shortcut engineering is invisible to a team that ships and leaves. It is not invisible to a team still paying the maintenance bill three years later. That is the difference this page is evidence for — and it is the same reason we can run App Rescue, because we see what those shortcuts cost when other people's builds arrive broken.

Want one of these built for you? $3,999 fixed for a scoped Production MVP, live in 21 days, code you own from day one.

Start a projectStart a projectSee client workSee client work

Questions about our products

Are these client projects?+

No. Client work lives on the work page with its own case studies. Everything here is owned and operated by the studio — we pay the hosting bill, we answer the support email, and we live with the architecture decisions.

Why does an agency build its own products?+

Because shortcut engineering is invisible to a team that ships and leaves, and extremely visible to a team still maintaining the thing three years later. Running our own products is the only mechanism we have found that keeps us honest about the standards we describe on the engineering standards page.

Can I buy or use these?+

Some, yes — OrbitPlus, SwiftPatch and NovaX are live and linked. Others are in production for a specific business or are labelled prototype, and we say which is which rather than making everything look launched.

Can you build something like this for me?+

That is the day job. A clearly scoped Production MVP is $3,999 fixed and ships in 21 days; larger products get a written milestone quote. You own the code, infrastructure and accounts from day one.

Related

  • Engineering standards →What ships with every build, and who is accountable for AI-written code.
  • Work →Client case studies with the numbers.
  • The MVP architecture decisions that decide whether you survive 50,000 users →The one-way doors these products had to get right.

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