Andrew Fribush

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Mobile apps

Apps that carry revenue and run operations: Credo Beauty's mobile app from zero to $5M+/yr, NeuroPraxis's native iOS build, Del Mar's React Native field-service app for on-site pros, and a social-fitness app shipped to the App Store as head of development.

Credentials

  1. Credo Beauty's app: launched from nothing, scaled to $5M+ a year
  2. Del Mar's React Native field-service app, running daily operations for the on-site crews
  3. NeuroPraxis: a native iOS healthtech build

Why these lanes belong together

The same pattern keeps returning in my work: someone has a system nobody wants to take seriously, and it turns out to be load-bearing. Vacation-home water heaters; a mold inspector's leave-behind sensors; forty federal datasets; surgical training in hospitals with bad connectivity. Every home in a 320-property rental fleet got a digital twin. The mold sensor went through contract manufacturing. The datasets became APIs that AI agents query directly. The surgical platform's prize was $700,000. It runs in Ethiopia. That is the useful part.

Good fit

  • Ambiguous zero-to-one systems where the technical direction and the implementation are the same job.
  • Data-heavy AI products that must operate reliably in production, under real compliance constraints.
  • Problems that cross boundaries: software to hardware, engineering to institutions, prototype to operations.
  • Small teams that need a lead who ships alongside them.

Not a fit

  • Pure research roles judged on publications. The AI-mechanism work is applied engineering, not an academic track.
  • Roles that are exclusively people management with no hands-on technical scope.
  • Teams seeking a narrow specialist in a single framework. The value here concentrates where problems cross domains.
  • On-site-only roles outside Austin, TX.

A useful first email says what you're building, where it hurts, and what form of help you think you need. Specifics get the fastest reply. hello@andrewfribush.com. The full record is at the engagement ledger, the short version at the résumé. Machine-readable: /career/brief.json · /availability.json.

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