CASE STUDY — FULL-STACK SAAS
A-Stats Online: a full-stack SaaS built from operator pain.
Wellness practitioners run businesses with too many disconnected tools. A-Stats Online turns that operating mess into one product surface: client management, intake, scheduling, notes, invoicing, follow-up, and AI-assisted workflows.
Signals
What this project proves.
BuildSolo
Full product architecture and implementation.
StackNext.js + FastAPI
Product-grade web app with backend API.
DataPostgreSQL
Multi-tenant, GDPR-aware data model.
StatusProduction
Built to operate, not just demo.
Challenge
Practitioners had enterprise complexity without enterprise teams.
Intake, notes, invoicing, scheduling, follow-up, and reporting often live in separate tools. The practitioner becomes the integration layer, manually moving context from one system to the next.
The business opportunity was not “add AI.” It was to reduce operational load while preserving the human voice of the practitioner.
Approach
Build the platform around the real workflow.
The product combines client management, intake, session workflows, invoicing, and follow-up into one coherent surface. AI support is woven into the job-to-be-done: drafting, summarizing, extracting, and accelerating work the practitioner already performs.
Result
A product proof for the Proworks delivery model.
A-Stats demonstrates that a solo operator with AI-assisted development can ship a serious full-stack SaaS. It is also the clearest proof that Proworks advice comes from building real products, not commenting from the sidelines.
Stack
Tools and operating surface.
FastAPI
PostgreSQL
Railway
Vercel
Cloudflare
AI-assisted workflows
GDPR-first architecture
build pattern
Need this kind of system in your own stack?
Bring the workflow and the constraints. I’ll map the smallest production system worth shipping.
Book a scoping call