Objective: Assemble the core team to finalize product, ensure compliance, and prepare go-to-market.
Engage Anderson Mancini (Configurator Specialist)
Focus: build the proprietary configurator (starting with mouthguards).
Deliverables:
Mouthguard configurator MVP built with React Three Kit.
Configurator integrated into SaaS platform.
Roadmap prepared for grillz configurator.
Hire Bubble.io Developers (Frontend + Backend)
Focus: extend and strengthen the SaaS platform already built on Bubble.io.
Profile:
Fresh, fast learners.
Strong in Bubble.io (frontend + backend workflows).
Able to use AI tools (Cursor, Windsurf, Copilot, etc.) to accelerate development.
Comfortable with APIs and external integrations.
Knowledge of n8n and Supabase is required.
Bonus: knowledge of traditional programming languages (JS, Python, Node, etc.) for future extensions.
Deliverables:
SaaS portal polished for dentist onboarding and clinic use.
Bubble backend optimized and stable (orders, payments, role-based access).
Stripe Embedded Components integrated fully.
AI-assisted components integrated into workflows (chatbots, automations, analytics).
Engage Legal/Compliance Partner
Focus: GDPR, CE compliance, contracts, QMS-lite setup.
Deliverables:
GDPR policies and DPAs in place.
CE compliance roadmap.
Dentist and lab contracts finalized.
Insurance requirements mapped.
Hire Marketing Lead
Focus: brand launch, campaigns, early demand gen.
Deliverables:
First 3 campaigns executed (video + influencer activation).
Brand tone of voice and content guidelines documented.
Tracking/analytics set up.
Ops Manager Continuation
Maintain task board across all hires.
Add deliverables to documentation.
Run weekly check-ins to ensure milestones are met.
Bubble.io is the core stack — developers must respect and extend what’s already been built, not try to rewrite everything from scratch. At the same time, they must know how to use AI tools to work faster and smarter, and be flexible enough to connect Bubble with custom code when required.
Fresh developers with energy and curiosity are preferred over “stale” corporate engineers who won’t adapt to low-code + AI workflows.