Your cleaner WhatsApp group is your ops dashboard.
Schedule changes live in chat. Photo-confirmations of turnovers live in chat. Issue reports live in chat. When you onboarded a second property, the chat became unusable; nothing replaced it.
Custom integrations and automation for hospitality operators in Malta. Channel managers, internal dashboards. Discovery call, written scope, fixed price.
Schedule changes live in chat. Photo-confirmations of turnovers live in chat. Issue reports live in chat. When you onboarded a second property, the chat became unusable; nothing replaced it.
The off-the-shelf platforms you've evaluated either do too much (and cost what an enterprise pays) or do too little (and need three of them to cover one workflow). What you actually need is the missing wiring, not a new platform.
Onboarding a new property used to take a day; now it takes a week because the steps aren't written down. The number of "small fixes" you do in any given week has stopped getting smaller.
PMS connectors, channel-manager APIs, and the custom integrations that nobody ships off the shelf. Bidirectional integrations with Cloudbeds (in active development, not yet generally available) — read availability, write back reservations, push and receive guest messages. Beyond the major PMS systems: direct API work with channel managers, OTA endpoints, booking engines, digital locks, payment providers, ID verification, and accounting systems. The connection you need that doesn't already exist, built once and owned by you.
Multi-step workflows wired through Make or direct code — picked per workflow, not by religion. Guest-message routing, supplier reorder rules, cleaning schedule generation, dynamic pricing triggers, late-checkout fee handling, supplier ordering. The category covers anything that maps to "this should happen automatically when X" and removes the recurring decisions that don't need a human in the loop. The right tool for each workflow gets picked at scoping; you don't get pushed onto a single platform.
One example. The pipeline changes per client — the pattern doesn't.
Internal dashboards built on Next.js and Supabase, reading your existing data sources directly without a replatform. Owner-facing monthly reports generated from your real data, formatted the way your owners actually want them, sent automatically. Both surfaces solve the same underlying problem: people who need to see numbers are squinting at exports today. Less spreadsheet work for you; more confidence for them; the data is the same — it's just finally readable.
Where the work is repetitive and verification is cheap. Document workflows, guest-message summarisation, anomaly detection on bookings, and similar tasks where a language model saves real time without introducing real risk. The pattern is: the model drafts, you sign off; the model flags, you decide. Stack is picked per project — no religious commitment to one model or one vendor.
You describe the symptom; we ask the questions that turn a symptom into a scope. By the end of the call you know whether this is one week of work or one quarter.
Scope, deliverables, timeline, fixed price or T&M rate. Short, specific, reviewable. Nothing is verbal.
Concrete time commitment from your side is roughly two hours across the engagement — kick-off, mid-build review, handover. We work in your repositories where one exists.
Handover includes a written runbook, a video walkthrough, and a chosen support model: included support window, retainer, or hourly post-handover rate. Picked in the proposal stage.
The default stack — Next.js, Supabase, Vercel, Make — covers most jobs without forcing anything. When a project genuinely needs direct code, we write direct code. When a project genuinely needs no code at all, we don't write any. The right tool gets picked at scoping; you're not pushed onto a single platform because it happens to be what we sell.
Most engagements ship in two to six weeks of build time. A simple integration (e.g. Cloudbeds → Stripe reconciliation) lands in two; a full internal dashboard with PMS + payment + reporting reads is four to six. We tell you which bucket you're in at the end of the discovery call, before any commitment.
The handover includes a written runbook and a video walkthrough, so common breaks are diagnosable by someone on your team. For everything else: pick the support model in the proposal — included support window, retainer, or hourly post-handover rate. We don't disappear after delivery; we also don't auto-charge you for a retainer you didn't ask for.
The honest answer: it's not different in the build phase — a competent freelancer can write the same code we'd write. It's different in scope (we say no to work that isn't a good fit, freelancers often can't afford to), in documentation (a written scope and a runbook on every project, not just an invoice), and in continuity (we'll still be here next quarter when you need a small change). If you have a freelancer who's already delivered for you twice and is available, hire them. If you don't, this is the alternative.
Yes. We work into existing repositories and codebases, take handover from previous contributors, and don't pitch the relationship-replacement conversation. The discovery call confirms the scope you actually want done; if your existing team is the right home for the work, we say so.
Yes — provided the existing work is documented enough to understand and the previous contributor isn't actively in the codebase. Inheriting a half-built system is sometimes a discount (we don't start from scratch) and sometimes a premium (we have to read someone else's code before we can write our own). We tell you which at the end of the discovery call.