Freelancers using Next.js in San JoseFreelancers using Next.js in San Jose
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Hikari Builds's avatar
Hikari Builds
San Jose, USA
AI SaaS Engineer | MVPs, Agents, Automation, Next.js, Python
1x
Hired
7
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
231
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
203
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
294
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
180
Next.js(6)
Aayush Palai's avatar
Aayush Palai
proSan Jose, USA
building AI agents & automations to cut days of manual work
64x
Hired
5.0
Rating
25
Followers
REPLIT_EXPERT

Expert

building AI agents & automations to cut days of manual work
Cover image for Winvite.org
Winvite.org
3
38
Cover image for TastyComms / Tracker
TastyComms / Tracker
1
95
Cover image for AR Glasses with ChatGPT / Video integration.
AR Glasses with ChatGPT / Video integration.
2
210
Cover image for Airbnb Coordinates Scraper Development
Airbnb Coordinates Scraper Development
3
88
Next.js(1)
Lili Clift's avatar
Lili Clift
Mountain View, USA
Web Dev & Design with Top-Notch Communication Skills
Web Dev & Design with Top-Notch Communication Skills
Cover image for Tattoo Booking Website
Tattoo Booking Website
0
17
Cover image for LC.co | Sample e-commerce app
LC.co | Sample e-commerce app
0
30
Cover image for Esoteria: Cartomancy App
Esoteria: Cartomancy App
0
31
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Next.js(1)
Marvin Pallones's avatar
Marvin Pallones
Santa Clara, USA
Experienced React & Next.js developer optimizing responsive.
Experienced React & Next.js developer optimizing responsive.
Cover image for I independently built TrueCar, a full-scale automotive marke...
I independently built TrueCar, a full-scale automotive marketplace platform designed to simplify how people buy and sell cars. The website enables users to research new and used vehicles, compare real-time market pricing, explore financing options, and connect directly with trusted dealers—all through a clean, data-driven user experience. From planning and architecture to design and development, I handled the entire build with a focus on transparency, performance, and usability, ensuring users can make confident car-buying decisions with minimal friction.
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181
Cover image for Front-End Development for Nomad Goods E-Commerce Website
Front-End Development for Nomad Goods E-Commerce Website
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8
Cover image for Flexible Business-Websites & B2B-Webapps für Wachstum- Evelan
Flexible Business-Websites & B2B-Webapps für Wachstum- Evelan
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5
Cover image for 38% OFF ULTRA BELTS
38% OFF ULTRA BELTS
0
6
Next.js(3)
Ruoya Li's avatar
Ruoya Li
Sunnyvale, USA
Full-Stack & AI Developer
New to Contra
Full-Stack & AI Developer
Cover image for This portfolio is an interactive
This portfolio is an interactive showcase of my work across software engineering, applied AI, 3D, and creative technology. It brings together production-ready products, technical case studies, and design projects to demonstrate how I transform complex creative challenges into practical digital experiences and connected workflows.
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34
Cover image for Home3D is an AI-assisted property
Home3D is an AI-assisted property reconstruction application that converts residential floor plans and listing photos into an evidence-backed, interactive 3D house. Instead of asking AI to invent an entire model, it extracts room dimensions and spatial relationships into structured scene data, validates the geometry, and procedurally generates inspectable walls, floors, rooms, and supporting property evidence.
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45
Cover image for DramaClips is a full-stack short-drama
DramaClips is a full-stack short-drama discovery and affiliate platform I designed, built, and deployed end-to-end. It uses Next.js, Supabase, Cloudflare R2, Railway, and Vercel, with AI integrations for content processing and automated workflows. I also built server-side tracking and attribution to measure user engagement and conversions, turning the project into a live, revenue-generating product.
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41
Cover image for AI Interview Copilot is a
AI Interview Copilot is a RAG-powered interview assistant that retrieves relevant information from a personalized knowledge base and uses an LLM to generate context-aware responses to interview questions. I built the retrieval and generation pipeline to combine semantic search with prompt-based reasoning, allowing responses to stay grounded in relevant source content rather than relying only on the model’s general knowledge.
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25
Next.js(3)