Case studies
We do not have any yet.
StratEdge is a new firm. We have not delivered enough work to write case studies that would tell you anything true, and we are not going to invent them.
Fabricated case studies are common in this industry and they are trivially detectable — a named outcome nobody can verify, a client who will not take a reference call, a metric with no baseline. They also fail badly at enterprise diligence, which is exactly the buyer we want.
When we publish one it will name the client (with their permission), state the actual constraint, and include a number they agreed to. Until then, the honest substitute is a paid discovery sprint: two weeks, fixed fee, and you keep the technical spec and the prototype whether or not you continue with us.
Project examples
What we have built — labeled honestly
These are internal builds, not client engagements, and they are marked as such. They exist so you can evaluate real work — the platform running this site among it — instead of taking our methodology on faith.
- Internal platform buildWeb application developmentInternal tools
The StratEdge delivery platform
Challenge — Run an entire software company — client intake, project operations, engineer vetting, opportunity matching, and role-separated portals — on one system, with a hard wall between what clients see and what engineers see.
Approach — A single application with three-layer access control: route-level gating, explicit column selection in every query, and row-level security in the database as the final boundary. Every privileged operation writes to an append-only audit log with a stated justification.
Status — In production — it is the site you are reading. Client intake, engineer applications, vetting pipeline, opportunity board, and both portals run on it today.
Access control enforced only in the interface is decoration. Putting the wall in the database means a bug in the application cannot leak what the policy forbids.
Next.js 15 · React 19 · TypeScript · Supabase · Postgres RLS · Tailwind
- Internal productContent architectureWeb application development
The fixed-scope kit engine
Challenge — Publish a full catalog of fixed-price services — every offering with its own scope, exclusions, price, and page — without hand-maintaining hundreds of pages that would drift out of date.
Approach — A typed content model generates every kit page, category page, and problem-route page from one catalog definition. Prices, scope, and exclusions live in one place; titles, metadata, canonicals, and sitemap entries are derived, so the catalog cannot disagree with itself.
Status — Over 170 kit pages across 12 categories live on this site, each with published pricing and generated metadata — maintained by editing one catalog file.
When content is data, consistency is free. The wiring audit that checks every reference resolves is what makes a catalog this size maintainable by one person.
Next.js · TypeScript · static generation
- Internal platform buildWorkflow systemsAuthentication and access control
Engineer vetting and account provisioning
Challenge — Accept engineering applications from anyone on the public site while guaranteeing that every account in the system traces back to a deliberate human decision — no self-serve registration, no unvetted access.
Approach — A public application form writes to a candidates pipeline that staff advance through a defined vetting ladder. Approval is the only door: it provisions the account through an audited admin path, promotes the role, emails the invitation, and links the candidate record to the account it produced.
Status — Live on this site: /apply feeds the pipeline, staff review in the operations portal, and approval creates the engineer account in one audited step.
An account should be the output of a workflow, never the input. Making provisioning auditable turned a policy statement into an enforced mechanism.
Next.js server actions · Supabase Auth · Postgres · transactional email
- Internal toolingDeveloper toolingQuality automation
Build-time brand and content enforcement
Challenge — Keep commercially sensitive language and off-brand terminology from ever reaching public pages — reliably, across hundreds of files, without depending on anyone remembering a style guide.
Approach — A set of build gates that fail the deploy: a doctrine checker scanning every public surface for forbidden terms and patterns (with documented exceptions), a US-English spelling gate, and a wiring audit that verifies every route is linked and every sitemap entry resolves.
Status — Every public page on this site passes all three gates on every build. Language drift that previously reached the global footer is now structurally impossible.
A style guide drifts; a failing build does not. Encoding editorial policy as a gate converted a recurring cleanup task into a solved problem.
Node.js · static analysis · CI gates
Be the first case study.
Early clients get founder-level attention, published rates, and reference-client pricing in exchange for letting us write about the work.