SaaS Scale-ups.
Series A-C B2B SaaS with aging frontends, mobile gaps, or feature velocity that has stalled. We rebuild the stack underneath your roadmap so your team can ship again, without pausing the business.
BUILD TIME
38s
LEAD TIME
3.2d
01
✓ LINT
02
✓ TEST
03
BUILD
04
DEPLOY
02The investment
Velocity is the business metric.
Why we go deep
Frontend rot compounds.
Frontend rot compounds. Every quarter you delay modernisation adds an exponent to the rewrite cost. We've inherited enough legacy codebases to know exactly what the next eighteen months will cost, and how to avoid it. Stalled feature velocity ends scale-up companies. We treat it as a board-level risk because that's what it is.
Domain context
B2B SaaS · admin UIs · data tools.
We track the practitioner literature on design systems, micro-frontends, and incremental migrations. We've shipped modernisations across CRM, observability, and data-tooling SaaS. We know which patterns transfer, and which don't. We're direct that SaaS is an adjacent strength, not our primary focus, and we apply our playbook here without pretending to be career B2B SaaS specialists.
03What SaaS Scale-ups teams hire us for
Three capabilities, velocity by design.
Capability 01
Frontend modernisation
Rebuild aging interfaces on a current stack. Strangler-fig migration, not big-bang. Your team keeps shipping while we modernise underneath.
Capability 02
Design system migrations
Tokenise, componentise, document. One source of truth for colour, type, spacing, and motion, versioned and consumed across web and mobile.
Capability 03
Web to mobile parity
Single codebase iOS plus Android with feature parity to your web product. Offline-safe, audit-logged, built to scale past your next pricing tier.
38s
build time
Median, after modernisation. Down from 9-12 minutes pre-engagement.
3d
feature lead-time
From PR open to production. Down from 2 weeks in a typical legacy stack.
−93%
rebuild time
Hot-reload, edge rendering, and aggressive caching applied end-to-end.
04How we approach a SaaS Scale-ups engagement
Audit. Strangle. Ship.
Week 0
Audit the stack
Build times, bundle sizes, lead times, on-call pain. We measure before we propose. No modernisation theatre.
Week 1
Strangler plan
Module-by-module migration plan with measurable milestones. Your team keeps shipping features. We modernise underneath.
Week 2 onward
Ship in parallel
Senior-led pod ships migration milestones alongside your team's roadmap. Weekly demos. Full transparency on what is next.
05Services we bring here
The full delivery stack.
Velocity stalled? Frontend aging?
Book a 20-minute Architecture Review. We'll look at your stack, your build times, and your roadmap, and give you a written diagnosis. No deck. Just a roadmap.
FAQFrequently asked
SaaS Scale-ups, most common questions.
- What size SaaS company is the right fit?
- Series A through C, typically 20-200 engineers, with a B2B product where the frontend or platform has become a tax. We are too small for a 500-engineer org and too senior for a pre-product-market-fit team. The sweet spot: a known product with a known customer that needs a senior intervention rather than headcount.
- Can Hotreloads rebuild a frontend without disrupting the live product?
- Yes, via the Strangler Fig pattern (route-by-route migration behind feature flags) and a Backend-for-Frontend (BFF) layer that decouples the UI rebuild from the data plane. Customers see the new surfaces by cohort. The old surfaces keep working. Cutover is not a weekend event.
- Does Hotreloads handle admin tools, analytics dashboards, and back-offices?
- Yes. These are often the highest-leverage SaaS surfaces because they touch the most product surface area per engineer-hour invested. Audit logging, RBAC, multi-tenant data isolation, and tenant-scoped feature flags are part of the default build.
- How does Hotreloads handle multi-tenant data isolation?
- Per-tenant retrieval namespaces for any vector index or AI feature. Row-level security at the database layer. Tenant ID propagated through every layer (URL, JWT claim, API call, log line). The architecture is signed off before the first build sprint, and the first multi-tenant test happens in week 1, not week 10.
- What does a typical SaaS engagement timeline look like?
- Most engagements run 12 to 16 weeks end-to-end. Week 0 is a paid audit: build profiling with webpack-bundle-analyzer or Vite's rollup-plugin-visualizer, lead-time measurement from the git log, and a written findings doc. Weeks 1 through 3 produce a strangler-fig migration plan with signed-off milestones. Delivery starts in week 4 under a weekly demo cadence. Engagements under 8 weeks exist for single-surface modernizations. We do not start build work without a completed audit, so the timeline is fixed at the front, not the back.
- Does Hotreloads do multi-tenant work, or only single-tenant codebases?
- Multi-tenant is our default assumption for B2B SaaS. Every engagement includes tenant-scoped feature flags, RBAC at the UI layer, and an audit log wired to a structured logger (Pino or equivalent). We have shipped multi-tenant frontends for teams with 3 tenants and teams with 300. The data isolation approach (row-level security, per-tenant JWT claims) is covered at architecture sign-off in week 1 and is not negotiated away mid-engagement.
- Can Hotreloads take over a feature an offshore team half-built?
- Yes. We start with a one-week technical audit: read the existing code, run Lighthouse and bundle profiling, review the git history for rollback events, and produce a written summary of what is shippable, what needs rework, and what should be deleted. Sunk-cost pressure is the most common reason these handovers go wrong. We give you a written scope for stabilization before adding a single new line of feature code. The audit cost offsets against the engagement if you proceed.
- When does it make sense to harden existing tenants rather than onboarding new ones?
- When your on-call rotation shows more than 2 P1 incidents per month tied to a specific tenant size class, hardening comes first. Adding tenants into a fragile multi-tenant architecture compounds failure modes faster than revenue grows. We run a 3-day isolation audit: read the RLS policies, replay the 5 most recent incidents in a staging clone, and measure per-tenant p99 latency with k6. If the audit surfaces systemic risk, we scope a hardening sprint before any onboarding work resumes.