Layer UI — Proof Bamberg Digital Ships Systems

By Jason Bamberg, Bamberg Digital · April 2026

The result, up front

Layer UI is live. Stripe is billing. The product reached $40 MRR within weeks of launch. It runs on a multi-tenant architecture that lets a single codebase serve unlimited client workspaces — each isolated, each branded, each deployed automatically on every git push. I built it with one engineer and a coordinated team of AI agents. This is what Bamberg Digital actually ships.

The problem

Small businesses are fragmented across six to ten tools. Notion for docs. Slack for chat. Monday for tasks. Google Workspace for email. A separate CRM. A separate inventory system. A separate shipping tracker. Each tool has its own login, its own pricing, its own learning curve, and its own way of not talking to the others.

The companies that suffer most aren't enterprise — they have IT teams for that. The companies that suffer most are the ones with ten to fifty employees: light industrial shops, logistics coordinators, growing retail operations, remote-first service businesses. They're paying for five subscriptions and getting 60% of the capability they need out of each one.

The category solution — a true unified work OS — exists at the enterprise tier. Salesforce, SAP, ServiceNow. The price point starts at six figures and the implementation starts at six months. Nothing fills the gap between “five disconnected tools” and “enterprise platform.” That gap is where Layer UI lives.

The approach

Architecture: one codebase, unlimited workspaces

Layer UI runs on a proxy-routing pattern. layerui.io is the marketing site and the routing layer. Every client gets a subdirectory: layerui.io/[client]. The main site's next.config.ts contains a CLIENT_APPS array — one entry per client. Each entry maps a path prefix to a separate Vercel deployment.

Adding a new client workspace is a four-step process: fork the app template, deploy a new Vercel project, seed the client workspace in Supabase, add one entry to CLIENT_APPS and push. The next deploy picks up the new route. No DNS changes. No infrastructure work. The client is live.

Auth and data

Authentication runs on two role keys: app_role (primary) and bamcor_role(legacy fallback). Supabase handles the backend with Row Level Security enforcing workspace isolation. No client can see another client's data at the query layer.

Billing

Stripe handles subscriptions in live production mode. Three tiers: Free ($0, up to 3 users), Starter ($19/user/month, up to 10 users), and Pro ($39/user/month, unlimited seats). The per-seat model aligns the product's revenue with the value it delivers as teams grow. Webhook handling covers the three events that break subscriptions: checkout completed, subscription deleted, payment failed.

Build velocity

The initial architecture decisions were made in a single session. The basePath problem — a 100-file audit to ensure every internal fetch carried the correct prefix — was resolved in one afternoon. The Stripe billing integration went from spec to live webhooks in one day. The multi-tenant routing pattern took two days to prove out, including the proxy layer, the Supabase workspace seed process, and Vercel deployment automation.

AI accelerated the parts of this build that would have taken weeks in a traditional agency model: boilerplate generation, repetitive configuration across 18 modules, test-case generation, and first-pass debugging on silent failures. What stayed human was the architecture — deciding what the routing pattern should be, why per-seat pricing fits this market better than flat-rate, how to structure the auth fallback. The judgment calls stayed with me. The execution moved at machine speed.

Outcome

Layer UI is in production as of April 2026. $40 MRR on live Stripe billing. Three named client workspaces routing correctly through the proxy layer. 18 features shipped — full workspace surface, not a demo shell. 1,073 cold emails sent at launch across 20 verticals, processed through an automated response classification and follow-up system.

The MRR number is small. I am not pretending otherwise. What it proves is larger than the number: a solo founder with an AI-augmented team can ship a production-grade multi-tenant SaaS, wire real billing, build a 20-vertical outreach system, and monitor it all from a single Mac Mini. The architecture scales. The pattern replicates. Every new client workspace adds one line to a config file and one Supabase row.

This is what I mean when Bamberg Digital sells “AI-velocity development.” It is not a metaphor. It is a methodology with a track record.