Freelancers using Next.js in CaliforniaFreelancers using Next.js in California
ProjectsPeople
Mason Price's avatar
Mason Price
maxLos Angeles, USA
Brand & Websites for Startups & Enterprise
$250k+
Earned
48x
Hired
5.0
Rating
1.4K
Followers
TOP_INDEPENDENT

Top

FRAMER_EXPERT

expert

+10
Brand & Websites for Startups & Enterprise
Cover image for Custom Shopify Site for The Notes Fragrance
Custom Shopify Site for The Notes Fragrance
1
68
1.6K
Cover image for Shuffle | Custom Shopify Web3 Streetwear Brand
Shuffle | Custom Shopify Web3 Streetwear Brand
5
440
Cover image for Supermoon Capital Website
Supermoon Capital Website
18
352
Cover image for Trajectory AI Framer Development
Trajectory AI Framer Development
14
254
Next.js(2)
Aurelien GERIER's avatar
Aurelien GERIER
proLos Angeles, USA
Fullstack Engineer | 14+ yrs Shipping React,Next.js,Node,AI
$50k+
Earned
5x
Hired
4.9
Rating
105
Followers
TOP_INDEPENDENT

Top

Fullstack Engineer | 14+ yrs Shipping React,Next.js,Node,AI
Cover image for Breakjobs.ai
Breakjobs.ai
0
66
Cover image for Scalable Digital Platform for Cognitive Testing
Scalable Digital Platform for Cognitive Testing
0
30
Cover image for HumanData Web Application
HumanData Web Application
0
34
Cover image for Traklist
Traklist
1
87
Next.js(5)
Yash Bajaj's avatar
Yash Bajaj
proCalifornia, USA
Fast-tracking business growth with intuitive interfaces
$25k+
Earned
3x
Hired
5.0
Rating
23
Followers
Fast-tracking business growth with intuitive interfaces
Cover image for Handshake AI Help Center
Handshake AI Help Center
0
8
Cover image for OpenAI x Handshake Codex Creator Challenge
OpenAI x Handshake Codex Creator Challenge
0
5
Cover image for Handshake - AI Outlook Interactive Report
Handshake - AI Outlook Interactive Report
0
7
Cover image for 28Kothi - Boutique Luxury Hotel
28Kothi - Boutique Luxury Hotel
2
82
Next.js(5)
Johnny Ha's avatar
Johnny Ha
Alhambra, USA
Senior Full-Stack Engineer | Web Development | AI Automation
$5k+
Earned
1x
Hired
5.0
Rating
19
Followers
Senior Full-Stack Engineer | Web Development | AI Automation
Cover image for Evoke - Project completed successfully
Evoke - Project completed successfully and got ⭐⭐⭐⭐⭐ review🚀 Overview EVOKE is a mindfulness-focused digital experience designed to create a calm, distraction-free space for reflection and presence. Problem Most digital platforms are built for speed and engagement, which can feel overwhelming. The goal was to design a space that encourages stillness instead of stimulation. Approach I focused on creating a minimal and immersive interface using soft visuals, intentional spacing, and slow interactions to guide users into a reflective state. Solution Designed a clean, distraction-free UI Built immersive entry and reflection flows Used calming imagery and typography to shape the experience Developed smooth transitions to support a sense of presence Tech & Tools Web development, frontend engineering, UX/UI design Outcome The final product delivers a unique digital experience that prioritizes calmness and intentional interaction, standing out from traditional high-stimulation platforms. 👉 https://www.evoke-space.com/
1
2
141
Cover image for EVOKE - Mindfulness & Reflection Web Experience
$6K+ earned
EVOKE - Mindfulness & Reflection Web Experience
4
17
Cover image for Building Websites & CMS Solutions I’m
Building Websites & CMS Solutions I’m currently working on modern websites and CMS-based projects using no-code and low-code platforms. I build and customize projects with: • Wix & Wix Studio (https://www.wix.com/)• WordPress (https://wordpress.com/)• Webflow (https://webflow.com/)• Bubble.io (http://Bubble.io) I help businesses and startups create fast, responsive, and scalable websites, from landing pages to full CMS and web apps. Open to new projects and collaborations.
4
6
268
Cover image for Luxury Jewelry E-Commerce Website – Gemsparx Front-End & Ful...
Luxury Jewelry E-Commerce Website – Gemsparx Front-End & Full-Stack Developer (React & Node.js) Gemsparx is a luxury jewelry marketing and e-commerce website designed to showcase diamonds, fine jewelry, and custom design services with a high-end user experience. I developed this project using React for a fast, responsive front end and Node.js for backend functionality. The focus was on creating a visually elegant, conversion-friendly interface while maintaining performance, scalability, and clean code architecture. The website features structured product categories, promotional sections, custom design workflows, and a modern UI optimized for both desktop and mobile users. This project demonstrates my ability to build premium marketing websites that align with luxury brand aesthetics and business goals.
5
23
413
Next.js(2)
Christine Straub's avatar
Christine Straub
Irvine, USA
Full-Stack AI/ML Software Engineer
$50k+
Earned
1x
Hired
5.0
Rating
69
Followers
Full-Stack AI/ML Software Engineer
Cover image for Software Engineer with AI/ML experience
$71K+ earned
Software Engineer with AI/ML experience
2
3
200
Cover image for Brandblast AI
Brandblast AI
1
118
Cover image for Computerized Adaptive Exam Platform
Computerized Adaptive Exam Platform
1
83
Cover image for Chatbot starter with GPT3, Twilio, and React
Chatbot starter with GPT3, Twilio, and React
0
52
Next.js(5)
Hikari Builds's avatar
Hikari Builds
San Jose, USA
AI SaaS Engineer | MVPs, Agents, Automation, Next.js, Python
1x
Hired
8
Followers
AI SaaS Engineer | MVPs, Agents, Automation, Next.js, Python
Cover image for AI Marketing Attribution SaaS with
AI Marketing Attribution SaaS with CRM & Revenue Tracking I built PeoplePixel, an AI-powered SaaS platform designed to help businesses turn anonymous website traffic into identifiable leads and measurable revenue. The core problem was that most websites lose the majority of their visitors as “ghost traffic” without any way to identify, follow up, or measure impact. PeoplePixel solves this by combining visitor identification, CRM integration, and revenue attribution into one unified system. I designed and developed the platform end-to-end using Next.js, TypeScript, and Supabase, building a multi-tenant SaaS with authentication, team workspaces, billing, and secure data access using Row-Level Security. A key part of the product is the free traffic audit funnel. Users can enter their website URL to receive an automated analysis of missed revenue opportunities using Firecrawl and DataForSEO. This creates a strong entry point into the platform and drives conversion into the full product. On the data side, I integrated IntentWave for visitor identification and GoHighLevel as the CRM layer, syncing contacts, outreach activity, and purchase data. I then built a custom attribution engine that matches visitors to revenue using confidence-based scoring derived from email, SMS, and call engagement signals. The system runs on background pipelines using scheduled jobs and webhook ingestion to continuously process attribution data and update reporting in near real-time. The final product provides a complete ROI dashboard, including visitor insights, attributed revenue, funnel analytics, and pipeline performance, enabling businesses to clearly understand and recover lost revenue. This project highlights my ability to design and build complex SaaS platforms that combine data pipelines, third-party integrations, and product-driven user experiences into a cohesive system.
2
205
Cover image for High-Fidelity Product Website with GSAP
High-Fidelity Product Website with GSAP Animations & 3D Assets I built a high-fidelity Apple website clone to explore advanced frontend animation, 3D rendering, and interactive UI techniques. The project focused on recreating the premium feel of Apple’s product pages, including smooth transitions, scroll-based animations, and immersive visual storytelling. I used React, TypeScript, and Tailwind CSS for the core application, along with GSAP to implement complex, performance-optimized animations. This included scroll-triggered sequences, parallax effects, and fluid transitions that closely match real-world production experiences. To enhance the visual quality, I created and integrated custom 3D assets using Blender, enabling realistic product-style renders and dynamic motion effects that elevate the overall user experience. The result is a highly polished, interactive frontend that demonstrates strong attention to detail, animation timing, and visual design. While this was an exploratory project, it showcases my ability to build premium, animation-heavy interfaces and replicate production-grade experiences with a high level of accuracy.
3
3
177
Cover image for Gribbit – Real-Time Crypto Community
Gribbit – Real-Time Crypto Community Platform with On-Chain Analytics I built Gribbit, a full-stack crypto community platform that unifies on-chain data, real-time interaction, and social features into a single dashboard. The goal was to reduce fragmentation in crypto communities by combining price tracking, discussions, and content discovery into one cohesive experience. I developed the platform end-to-end using Next.js, TypeScript, and Supabase. It includes live token metrics, real-time chat, a community board, and curated content in a responsive, high-performance app. For on-chain data, I integrated Moralis Streams to process live swap activity into structured data powering trade feeds, wallet tracking, and Pulse dashboards. I also used DexScreener for real-time price, liquidity, and volume data. On the community side, I built real-time chat with Supabase Realtime and a Reddit-style board with posts, comments, voting, and moderation. I also created a “lore” system for curating and preserving important content. The platform emphasizes user experience with a responsive dual-layout dashboard, smooth animations, and performance optimizations for handling live updates. This project demonstrates my ability to build complex, real-time, full-stack applications that integrate external data and deliver a polished user experience.
2
2
238
Cover image for Enterprise AI Search System with
Enterprise AI Search System with Embeddings, Pipelines & Widget Builder I worked as a Full Stack Engineer at Gloo, contributing to the architecture and development of an AI-powered discovery widget designed for large-scale content platforms. The product is an embeddable search system that enables semantic content discovery across podcasts, sermons, articles, and other media, allowing organizations to surface relevant content through intent-based search rather than traditional keyword matching. I helped design and build the system end-to-end, working across frontend, backend, and data infrastructure. On the frontend, I developed a modular widget and configuration system using Next.js, TypeScript, and modern UI tooling, enabling partners to integrate the search experience with a single script tag. A key part of the project was the widget builder interface. I built a multi-step configuration system with live preview, allowing non-technical users to customize layout, data sources, API keys, and embedding behavior in a simple and intuitive workflow. On the backend and data layer, I implemented ingestion pipelines to process large volumes of publisher content via RSS feeds. This included generating embeddings, enriching metadata, and preparing data for semantic retrieval, enabling domain-specific AI search across diverse content types. The search system itself was built using a hybrid approach. I combined vector-based semantic search using Weaviate with high-speed autocomplete and indexing via Typesense, resulting in accurate intent-based results alongside instant query suggestions. I also contributed to system reliability and observability by integrating analytics and monitoring tools, enabling detailed tracking, debugging, and performance optimization across deployments. The result is a scalable, production-grade AI search platform that can be embedded into external sites with minimal effort, providing powerful discovery capabilities backed by modern AI infrastructure. This project highlights my ability to design and build complex AI systems that combine frontend experience, backend architecture, and data pipelines into a cohesive, high-performance product.
1
136
Next.js(6)