Lake had a problem. Their vacation platform was capped at around 500 connected properties. Every month, new listings were turned away — not because of demand, but because the back-end couldn't handle the load.
Three months later, they had 40,000 connected properties. Website traffic jumped 210%.
That's what a monolith rebuild looks like when it's done right. Not a rewrite-everything-from-scratch project that runs for 18 months and ships nothing. A surgical architectural change, planned in discovery, executed in sprints, measured in outcomes.
Mid-market B2B companies come to us with some version of this situation all the time. The product works, but it's hitting its limits. The architecture made sense five years ago. The CI/CD is manual or missing entirely. A data migration feels terrifying because the data is everything. And there's no internal team big enough to handle it without stopping all other development.
Here's what the rebuild actually takes, and what proof looks like for each part of it.
What legacy modernization actually involves for a mid-market B2B company
Most conversations about SaaS rebuilds focus on the architecture decision. Monolith vs. microservices. Multi-tenant vs. single-tenant. Cloud-native vs. migrated.
Those decisions matter. But they're maybe 30% of what you're actually buying.
The real scope — the part that separates a successful rebuild from a year-long disaster — covers five things: architecture redesign, CI/CD pipeline setup, data migration, ongoing feature development after launch, and a PM who's reachable during your working hours.
Every VP of Product evaluating vendors eventually asks about all five. The vendors who only answer one or two are the ones who cause problems later.
Architecture: from monolith to multi-tenant SaaS
The Lake project started with a monolithic back-end that couldn't scale. Every new property listing strained the system. The architecture was the ceiling.
Brocoders rebuilt it. In 3 months, Lake went from roughly 500 connected properties to 40,000. Traffic jumped 210%.
The method wasn't exotic. It was a disciplined discovery phase — mapping the existing architecture, identifying the actual bottlenecks, designing a new structure before writing a line of replacement code. Then execution in sprints, with demos at the end of each cycle.
Revenue Boosters is a different kind of proof. They needed a route management SaaS built from scratch — multi-tenant architecture from day one, designed so multiple companies in the amusement industry could run on the same platform. That MVP took 3.5 months. David Finley, the owner, summed it up: "The whole Brocoders team took this project and made it a complete masterpiece."
For a mid-market company moving from a legacy product, the architecture question usually comes down to this: what do you own at the end, and can it grow? The answer should be a platform you control — no license fees, no dependency on a third-party vendor's roadmap, no compromise on the parts of your stack where your competitive edge lives.
Brocoders' approach to this is explicit: the client owns the platform. The code, the infrastructure, the decisions. When the engagement ends, nothing walks out the door with it.
CI/CD: replacing manual deployments before they cost you
Manual deployments are slower than they look. The damage isn't only on deployment day.
When pushing to production requires manual steps, engineers avoid pushing. Features sit in staging longer than they should. Bugs take longer to fix because each fix is its own production event. The bigger the product, the worse this compounds.
Traders Alloy was a fintech startup running fully manual deployments when they came to Brocoders. Fintech isn't a context where slow, unreliable deployment processes are acceptable — financial software needs to ship confidently and often. Brocoders built out a complete CI/CD pipeline, switching the entire process from manual to automated. The result was a faster, more reliable path to every release.
For a legacy-to-SaaS rebuild, CI/CD isn't optional. It's the infrastructure that makes ongoing development sustainable. Without it, every feature you ship after launch carries the same deployment risk that slowed you down on the old system.
The stack Brocoders uses: AWS (Lambda, RDS, EC2), Azure, Docker, and automated pipelines with AI-assisted code review and regression detection running continuously. QA catches issues in the pipeline, not as a manual gate before each release. Engineers push with confidence because the system tells them immediately when something breaks.
Data migration: keeping decades of data intact
This is the part that makes most VPs of Product nervous. And for good reason.
The data in a legacy B2B app isn't just records in a database. It's the operational history of the business. It's what customers log in to see. It's what support teams reference every day. Losing it, corrupting it, or taking it offline for a week isn't an option.
Three cases from Brocoders' portfolio show what this looks like at different scales.
Lake's migration happened while the product was live. Vacation rental listings, booking history, property data — all of it moved as the new architecture came online. The 80x growth in connected properties only means something if the original ~500 properties migrated cleanly during the transition.
PayPilot is a Canadian payroll SaaS company. Brocoders augmented their engineering team to renovate their legacy software. Payroll data is regulated, historically sensitive, and can't have gaps or inconsistencies. The renovation had to maintain integrity throughout, on a live system with real payrolls running.
The most striking example is C.I.A. Services, a property management company operating in Houston and San Antonio for more than 30 years. When Brocoders built their HOA management app, the existing data covered 50,000+ active properties and decades of management history. That information had to be fully accessible in the new system without disrupting the daily work of property managers or residents.
The common thread across all three: data migration is a planning problem before it's a technical one. The discovery phase is where the existing data model gets mapped, the migration sequence gets designed, and the risks get identified before they become outages. No migration work starts until that plan is locked.
Ongoing feature development: what partnership looks like after launch
The rebuild is not the finish line.
This is the part of the conversation that separates vendors from partners. A vendor ships the product and sends a final invoice. A partner keeps building.
Backbone International is the clearest example in Brocoders' portfolio. They're a Netherlands-based events company with offices in North America, China, and Indonesia. Brocoders has been their development partner since June 2018. That's eight years. The platform — a global event production management system covering scheduling, supplier coordination, transport, and equipment tracking — has grown continuously since the first version shipped.
EveryPig is an agritech platform for pig health and welfare management, used by farms and veterinarians across the US. Brocoders built the core production management platform. When EveryPig expanded into supply chain logistics, Brocoders built that too. Two distinct platform phases, same team, same architectural context, no ramp-up cost between them.
11 of Brocoders' 29 published case studies are marked ongoing. That's a lot of companies who decided not to switch vendors after delivery.
The delivery model that makes this work: dedicated team, 2-week sprints, weekly reports, demos at the end of each sprint. Billing is Time and Material, per milestone — so the client sees exactly what was built and how long it took every month. No mystery in the invoice, no guessing about where the budget went.
David Neuendorf, CEO of HeyPractice, described the speed advantage directly: "With Brocoders, we were able to set up a highly skilled IT team in the shortest amount of time. For finding a team with similar skills we would have needed 4–6 months instead of the instant start."
And Kalev Kärpuk, CEO of Adact — a marketing gamification platform Brocoders built and has continued developing — on what sustained quality looks like under real load: "We've tested the product and have acquired over two million interactions without experiencing downtime or bug-related issues."
US-timezone PM overlap: how 11+ US companies have made it work
Brocoders is headquartered in Tallinn, Estonia. That's UTC+2 in winter, UTC+3 in summer. New York is 5–7 hours behind. San Francisco is 8–10 hours behind.
That gap is real, and worth being direct about.
What's also real: 11 US-based companies are currently or have recently been active Brocoders clients. Revenue Boosters in Kentucky. EveryPig in Iowa. Beyond Green in Chicago. C.I.A. Services in Houston and San Antonio. Lake, Hypeboard, MoolaX, Converthero, Skilent — and more. Most of them are ongoing engagements, not one-time projects.
The way it works in practice: every full-team engagement includes a PM. That PM is the day-to-day point of contact. They're in Slack, they communicate in Google Meet, and they send a weekly report covering what shipped, what's in progress, and what's next. The reporting structure is designed to make async work predictable, so you're not depending on real-time overlap to know where the project stands.
Live overlap windows — typically early morning US / afternoon Tallinn — get scheduled for sprint demos, planning sessions, and decisions that need a live conversation. Everything that can run async, does.
The repeat rate is the real answer here. Revenue Boosters called the finished product "a complete masterpiece." Backbone International has been on the same team for eight years. If the timezone gap were actually a problem, those relationships wouldn't last.
What the process looks like from first call to ongoing development
For a mid-market B2B company starting a legacy rebuild, the process runs in five phases.
Intro call (1 hour). NDA, consultation, CVs of the specific team members who'd work on the project. You know who you're working with before signing anything.
Discovery phase (up to 3 days). Business analysis, architecture review of the existing system, low-fidelity prototype, feature-based estimate, project proposal. This is where the data migration plan gets scoped, the CI/CD approach gets decided, and the architecture options get laid out. Nothing is signed before this step is complete.
Design phase (1 month). UX/UI in Figma, interactive prototype, feature decomposition, contract. By the end of this phase, you have something clickable — not a slide deck.
Development phase. Environment setup, sprints, weekly reports, demos at the end of each sprint. The PM handles coordination and reporting; the engineers ship features.
Launch and beyond. Final release, bug fixes, maintenance. For companies that continue with ongoing development, this transitions directly into the dedicated team model — same people, same context, scaled up or down as the roadmap requires.
The speed is real. Brocoders assembled a full team for Revenue Boosters and delivered a working multi-tenant SaaS MVP in 3.5 months. CoreHealth needed a telehealth platform built under a strict deadline — Brocoders delivered it in 6 weeks.
A legacy rebuild is a 6–18 month commitment depending on the scope of what's being replaced. The first decision — which team — shapes every month that follows.
The cases in this article are all public. Lake, Revenue Boosters, Traders Alloy, Backbone International, PayPilot, C.I.A. Services — the details are on brocoders.com. Read them before getting on a call.
The first step is a 30-minute conversation with Rodion Salnik, CTO. It covers your current architecture, what the rebuild actually requires, and what a realistic timeline and estimate look like. No contract until that picture is clear.