t
taylor_bubble

Tayl

@taylor_bubble

Bubble io Expert, Database Optimization and Workload Unit Reduction

Stati Uniti
Inglese, Spagnolo, Francese, Italiano
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Expert Bubble.io Developer & Optimization Specialist Stop overpaying for Workload Units (WU)! I help Bubble.io owners fix performance lag and scale efficiently. Whether you need a high-converting MVP or a complex database optimization, I’ve got you covered. Specialties: • Performance: Database optimization, repeating group lag, & speed fixes. • Cost Reduction: Workload Unit (WU) optimization & efficient logic. • Technical: API integrations, custom backend workflows, & Stripe setup. • SEO: Clean URL structures & dynamic meta tags. Ready to build a scalable, fast app? Let’s get to work!... Continua a leggere

Competenze

t
taylor_bubble
Tayl
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Personalizzazione
I will optimize bubble io performance, fix speed lag, and reduce workload units bug fix
A partire da50 USD / progettoMaggiori dettagli
Applicazioni web full stack
I will be nocode bubble io expert to reduce bubble workload units, optimize wu pricing
A partire da45 USD / progettoMaggiori dettagli

Esperienza lavorativa

ApplyJob

Full-Stack No-Code Developer

ApplyJob • Freelance

Sep 2025 - Mar 2026 • 6 mos

Built and launched multiple scalable MVPs from scratch, focusing on clean database design and secure API integrations (Stripe, Twilio, and Google). I bridge the gap between complex business logic and user-friendly design. My builds prioritize SEO-friendly structures and modular workflows, ensuring that the apps are not only functional but prepared for future scaling without massive rebuild costs.

Appdetex

Bubble.io Optimization Specialist

Appdetex • Freelance

Dec 2025 - Jan 2026 • 1 mo

Specialized in auditing and repairing large-scale Bubble applications suffering from performance bottlenecks. I successfully optimized a marketplace’s database structure, reducing Workload Unit (WU) consumption by 40% through refined backend workflows and API connector efficiency. Focused on eliminating repeating group lag and implementing server-side pagination to ensure a seamless user experience for high-traffic apps.