B2B SaaS · Automotive repair · Full-stack developer
VSSTA
A portal that runs vehicle diagnostic scanning for collision-repair shops end to end, from activating the scanner to sending the invoice. It replaced a manual, paper-based process.
- In use at
- 19+ shops
- Integrations
- 10
- Stack
- Django · Python · Celery · PostgreSQL · AWS
How a scan moves through the system
- 1 · CaptureShop-floor scannersLaunch and TopDon devices send reports over FTP and REST
- 2 · ParsePDF extractionVehicle data and DTC fault codes become structured records
- 3 · DecideADAS compliance engineDecodes the VIN, finds driver-assist hardware, checks the repair estimate
- 4 · ProveReports and certificatesOEM-backed PDFs listing the calibrations the repair requires
- 5 · BillInvoicingPer-scan pricing, PDF invoices, QuickBooks sync
Background work runs on Celery workers
What I built
No manual data entry
Automated ingestion of scanner reports, parsing PDFs into vehicle records and fault codes.
Calibration compliance
An engine that works out which safety calibrations a repair needs and generates the certificates.
Missed-scan detection
Flags vehicles leaving without a required pre- or post-repair scan, recovering billable work.
Revenue visibility
Role-based dashboards for shop managers, regional managers and owners, with live scan volume and revenue.
Connected to
CCC One · Mitchell · Rome · EMS · Autospot · QuickBooks · Stripe billing · HubSpot · Slack · Zoom