Freelance AI Agent Designers in New Delhi
Freelance AI Agent Designers in New Delhi
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Sahil Roy
pro
Delhi, India
UX & Service Designer crafting human-centered systems
10
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UX & Service Designer crafting human-centered systems
0
I design. I build. I ship. Figma → Framer → production. No handoffs or back and forth. Just a finished product. Roy Studio has 2 spots this month. If you know, you know. If you don't—royflows.com (https://—royflows.com)
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Mainframe is a conceptual AI studio — brand system + full multi-page website, built entirely in Stitch. Landing page with animated states, five inner pages (Labs, Studio, Services, Openings), and a complete DESIGN.md (http://DESIGN.md) covering color, type, and layout. Monochromatic, editorial, cinematic. The kind of system that usually takes weeks — done in one session. Started with brand tokens, used them as the foundation for every page. Iterated hover states and animations without leaving the design context. The generated DESIGN.md (http://DESIGN.md) became the actual handoff doc. Fastest I've gone from concept to a coherent multi-page system. Want: auto-propagating token updates across pages, finer motion controls, native multi-page navigation. Otherwise — best design-gen tool I've used since Figma got auto-layout.
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Just wrapped a custom store build and I'm genuinely proud of this one. Minimal. Clean. The kind of ecommerce experience that doesn't shout—it just works. Product pages that breathe. A checkout flow so smooth it almost feels intentional. Collections that actually make sense when you're browsing. The hero hits different when you scroll through it live. Real product imagery. Real storytelling. The whole vibe just clicks. This is what I build for brands that know design matters. No template defaults. No generic flows. Just a store that converts because it feels right. Demo's ready to show—thinking this could be something special for the right founder. → DM if you're building something like this.
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I set a quick design challenge for myself: What would a high-end landing page look like for a national defense contractor or a private drone dealer? 🚁🔥 Check out my latest UI/UX concept: a cinematic, dark-mode experience for a next-gen tactical drone called "The Executioner." The goal was to blend intense military aesthetics with a sleek, minimalist tech UI. Let's hear your thoughts in comments!
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93
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(5)
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Ayush Shukla
Greater Noida, India
UI/UX Designer • No-code Builder • AI Architect
$1k+
Earned
60
Followers
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UI/UX Designer • No-code Builder • AI Architect
58
I built something wild for the Paper Challenge🚀 It turns any GitHub repo into a visual case study — instantly. No writing. No designing. Just drop a repo link… and the canvas builds itself. That’s CodeSage💯 Most devs have solid projects… but they’re buried in README files nobody reads. CodeSage changes that. It reads your actual code — architecture, stack, commits — and transforms it into a clean, dark, presentation-ready case study. The real unlock? Paper MCP. I connected my AI agent directly to the canvas. So instead of designing manually… the agent builds everything: • Sections • Layout • Insights • Structure All generated directly on the canvas. No drag. No drop. Just output. Pick any repo → get 3 analysis modes: *Each one gives → Complexity score → PR velocity → Language breakdown → Full Refactor Roadmap Try CodeSage: https://codesage-871524277866.us-central1.run.app/ Tech stack: Paper MCP · Gemini API · GitHub API · Antigravity
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1.2K
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Finding freelance clients shouldn't take hours. Prospectra is a Notion agent that hunts leads for you, scores them by priority, and writes your cold emails — automatically. → Finds real leads from across the web → Tells you who to reach out to first → Writes personalised cold emails instantly → Keeps your entire pipeline inside Notion Stop scrolling LinkedIn for hours. Try it → https://www.notion.so/agent/3357b509492d801682d200929fc20ce0 Let AI fill your pipeline.
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AI Trading Co-Pilot reimagines how humans interact with financial data. Instead of overwhelming dashboards, the interface introduces an AI presence that observes, analyzes, and responds in real time. When a user selects a cryptocurrency, the AI activates — scanning price movement and liquidity signals through a cinematic analysis sequence before delivering a clear risk level and strategic suggestion. https://ai-trading-co-pilot.figma.site/ The core innovation lies in the interaction: A responsive AI panel that feels alive Smooth state transitions from observation to insight Subtle ambient motion that creates a futuristic, intelligent atmosphere Built entirely in Figma Make, this prototype explores a new design language for collaborative decision-making — where AI acts as a co-pilot, not an autopilot.
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We spend hours jumping between Pinterest, Behance, Reddit, YouTube, and countless other apps looking for inspiration. But creativity isn't about consuming more. It's about finding the ideas that truly resonate—and having the confidence to turn them into something real. So I built Muse🌙 Muse is an AI-powered creative community that learns your creative taste, curates meaningful inspiration, connects you with like-minded creators, and even provides thoughtful AI critiques to help refine your work. Rather than another endless feed, we wanted to create an experience that feels calm, intentional, and inspiring—a place that understands your creative journey instead of competing for your attention. Try: Muse (https://muse-61893.bubbleapps.io/version-test) Built entirely on Bubble, starting from a Bubble AI-generated foundation, then carefully crafted into the experience you see today. I hope you enjoy exploring Muse as much as I enjoyed building it.
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5
300
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(3)
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Trashu Vashisth
Delhi, India
Building Production-Grade AI Agents & RAG Systems
13
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Building Production-Grade AI Agents & RAG Systems
0
The Problem: Sales teams waste 60% of their time researching leads instead of closing them. The Solution: I built a custom Agentic AI Pipeline that automates deep-dive business intelligence and lead scoring. Key Technical Highlights: Multi-Agent Architecture: Built using CrewAI, featuring a 'Business Intelligence Specialist' (for real-time research) and a 'Senior Sales Director' (for strategic scoring). High-Speed Intelligence: Powered by Llama 3.3-70B for near-instant reasoning and decision-making. Real-time Web Scoping: Integrated Tavily AI to fetch live revenue data, employee counts, and market positioning. Enterprise Storage: A robust SQLite backend to manage lead pipelines with a sleek Streamlit dashboard. Smart Throttling: Engineered custom rate-limiting and token-trimming logic to ensure 99.9% uptime even under heavy API constraints. How it works: Simply enter a company name and URL. The AI agents scour the web, analyze the company's "AI potential," calculate a priority score (0-100), and even write a personalized sales pitch—all in under 30 seconds.
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I built a professional, end-to-end AI Receptionist system designed to automate clinic appointment management. This isn't just a chatbot; it's an AI Agent that can reason, use tools, and manage a live database autonomously. Key Contributions: Agentic Reasoning: Integrated CrewAI with Llama 3.3 (Groq) to enable the agent to understand complex user intents (Booking vs. Cancellation) and relative time (e.g., "next Tuesday at 3pm"). Autonomous Tool Use: Developed custom Python tools that allow the agent to verify real-time availability in a SQLite database and execute atomic transactions without human intervention. High-Performance Backend: Built a robust API using FastAPI to handle asynchronous requests between the AI agent and the database. Premium Dashboard: Designed a modern, Glassmorphic UI using Tailwind CSS that provides a real-time sync of the clinic’s schedule. The Result: A seamless, hands-free system that reduces administrative overhead by 100%, allowing clinic staff to focus on patients while the AI handles the entire scheduling lifecycle. Tech Stack: Python, CrewAI, Groq API, FastAPI, SQLite, Tailwind CSS
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An autonomous AI system that turns a simple voice command into a deep-dive research report in seconds. No typing, no manual searching. Key Highlights: Voice Control: Uses Speech-to-Text for hands-free research triggers. Multi-Agent Intelligence: Powered by CrewAI & Llama 3.3 (Groq) to find, verify, and summarize live web data. Voice Synthesis: Delivers an instant audio summary via ElevenLabs. Automated Export: Generates a professional PDF report automatically. Tech Stack: CrewAI, Groq, ElevenLabs, Streamlit, DuckDuckGo API.
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Developed a highly responsive AI Voice Agent using Vapi that handles real-time conversations with exceptional clarity. The agent is designed to engage users naturally, gather specific information during the call, and accurately extract that data for further use. The voice quality for both the user and the bot is seamless, making the interaction feel professional and human-like
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131
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(3)
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Jagwinder Singh
Delhi, India
Full Stack Developer
7
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Full Stack Developer
0
AI Agent Tutor Mobile App An AI personal tutor mobile application designed for learners of all ages, from students to professionals. The app provides personalized guidance, explanations, skill development, and interactive learning across multiple subjects and topics. Key Features: > AI tutor conversations for learning any topic > Personalized learning paths based on user goals and skill level > Support for academics, professional skills, coding, languages, and general knowledge > AI explanations, summaries, and concept breakdowns > Practice exercises, quizzes, and knowledge improvement tools > Voice and text-based learning interactions > Learning history and progress tracking > Adaptive AI responses based on user behavior Key Contributions: -- Developed a cross-platform mobile learning experience -- Integrated AI/LLM technology for real-time tutoring interactions -- Implemented secure authentication and data management -- Optimized performance and user experience across devices Outcome: Created an AI learning companion that enables users of all ages to learn, improve skills, and access personalized education anytime through a mobile-first experience.
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Employee Productivity Monitoring System Built a web-based Employee Productivity Monitoring System designed to help organizations track work activity, improve accountability, and gain insights into team performance in real time. The system includes features such as activity tracking (keyboard/mouse usage metrics), application and website usage monitoring, task-wise time logging, and optional periodic screenshots for audit transparency. It provides role-based access for admins, managers, and employees with secure authentication and data segregation. A real-time dashboard aggregates productivity metrics into visual reports, showing active vs idle time, productivity scores, and weekly performance trends. Managers can assign tasks, set productivity benchmarks, and export reports for HR or compliance use. Focused on scalable backend architecture with efficient event logging, low-overhead tracking agents, and privacy-aware configuration controls to ensure compliance and minimal system impact.
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AI Resume Screening | Candidate Ranking System | AI HR Recruiter | ATS CV/Resume Optimization 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 Recruiters often spend hours manually reviewing resumes, comparing candidate qualifications, and identifying the best fit for open positions. To address this challenge, I developed an AI-powered Resume Screening and Candidate Ranking Platform that automates candidate evaluation, improves hiring efficiency, and reduces recruitment time. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 Traditional recruitment processes involve reviewing hundreds of resumes for a single position. This manual approach is time-consuming, inconsistent, and often results in qualified candidates being overlooked. Recruiters needed a solution capable of quickly analyzing resumes, matching them against job requirements, and generating reliable candidate rankings. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 I built an intelligent recruitment platform that leverages Artificial Intelligence and Natural Language Processing (NLP) to automate resume analysis and candidate assessment. 𝗞𝗲𝘆 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: - ATS-compatible resume parsing for PDF and DOCX files - Automated extraction of skills, experience, education, certifications, and contact information - AI candidate matching based on job descriptions - Intelligent candidate scoring and ranking system - Semantic skill matching using NLP techniques - Automated shortlist generation for recruiters - Recruiter dashboard for managing applications and rankings - Bulk resume processing for high-volume recruitment - Interview recommendation system based on candidate fit - Fair and consistent evaluation framework to reduce manual bias 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 The platform was designed with scalability and accuracy in mind. The workflow begins by parsing uploaded resumes and extracting structured candidate data. AI models then compare candidate profiles against job requirements, analyzing technical skills, years of experience, educational background, and industry relevance. A ranking engine generates compatibility scores and presents candidates in order of suitability. Recruiters can review detailed scoring insights, compare applicants, and make faster hiring decisions. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 The solution significantly improved recruitment efficiency and candidate discovery. 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 > Reduced manual resume screening time by up to 80% > Accelerated candidate shortlisting process > Improved recruiter productivity and hiring speed > Increased consistency in candidate evaluation > Enabled processing of hundreds of resumes within minutes > Enhanced talent identification through AI-driven matching 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 This AI recruitment platform transforms traditional hiring workflows by automating resume screening, ranking candidates intelligently, and helping recruiters identify top talent faster, more accurately, and at scale.
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Waste Management Platform A smart waste management system that uses IoT sensors to monitor bin levels in real time and make waste collection more efficient. It connects smart bins, collectors, and administrators on one platform so everyone stays updated. The system sends alerts when bins are full, helps plan better collection routes, and provides simple insights to improve overall waste handling and reduce manual effort.
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39
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(1)
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Lalit Shakya
Gurugram, India
Full-Stack Developer & UI/UX Designer | React, PHP
New to Contra
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Full-Stack Developer & UI/UX Designer | React, PHP
2
AI Viral Story & Cinematic Shorts Factory AI Viral Story & Cinematic Shorts Factory is a futuristic AI-powered storytelling workflow built entirely inside Melius. The project explores how AI can transform a single emotional idea into a complete viral-ready cinematic production pipeline for platforms like YouTube Shorts, TikTok, Instagram Reels, and Pinterest Video Pins. Using interconnected AI agents and advanced visual workflow nodes, the system handles: Trend research and viral analysis Emotional story generation Cinematic scene breakdowns AI image prompting AI animation direction Camera movement planning Voiceover scripting Music and sound design Thumbnail optimization Captions and hashtag generation Engagement prediction Multi-platform export workflows For the core demonstration, I created a 6-scene emotional rescue story following an abandoned puppy in the rain. The workflow visually demonstrates how a raw emotional concept evolves into a fully cinematic short-form narrative through interconnected AI systems. The project was designed to feel like a next-generation AI filmmaking operating system — combining storytelling psychology, prompt engineering, cinematography logic, emotional optimization, and creator workflow automation into one connected visual canvas. My goal was to explore the future of AI-native filmmaking and demonstrate how creators can generate production-ready emotional content in minutes instead of weeks. Process: Researched emotional viral storytelling formats Designed a multi-agent cinematic workflow architecture Built interconnected AI production nodes inside Melius Generated a full 6-scene cinematic narrative Created image and animation prompt systems Added voiceover, music, and sound design logic Built thumbnail, caption, and engagement optimization systems Produced a cinematic walkthrough showcasing the workflow Feedback on Melius: Using Melius felt like directing an AI-powered creative studio visually instead of switching between disconnected tools. The node-based workflow made it easier to structure cinematic storytelling pipelines, iterate on ideas, and connect production systems together in a much more intuitive way. LinkedIn Post: https://www.linkedin.com/posts/buildwithlalit_meliuschallenge-ugcPost-7462439292988968960-xnV2
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PayU Latam Payment Gateway Integrate Developed a complete PayU Latam payment gateway integration for Walon Sport (Peru), enabling users to complete transactions directly within the website without any redirection. The project included implementing multiple payment methods such as Credit/Debit Cards (Visa, Mastercard, Amex, Diners), Yape (mobile payment flow), and PagoEfectivo (CIP generation). A custom accordion-style checkout UI was built to improve user experience and guide users through payment selection. Additionally, a fully customized Thank You page was developed to display CIP codes and provide voucher access for offline payments. The integration was deployed in a production environment with AWS security layers (WAF), ensuring stable and secure payment processing. This project involved real-world API handling, debugging payment flows, and optimizing checkout UX for better performance and reliability. Skills Debugging , Web development , Payment Gateway Integration , API integration , Backend Development , Frontend Development
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Just shipped a full-stack business listing platform — Biziffy. Built with React/Next.js on the frontend and Node.js/Express on the backend, deployed on a Hostinger VPS (Ubuntu 24.04) with PM2 and Nginx. Key things I handled on this one: Google Location API integration for accurate business listings, pincode validation, sitemap and robots.txt setup for SEO, and complete VPS deployment from scratch via SSH. The part I enjoyed most — getting the deployment pipeline clean so the client could manage updates without developer dependency. Stack: React · Next.js · Node.js · Express · MongoDB · PM2 · Nginx · VPS Live: biziffy.com (http://biziffy.com)
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Prydelix — Full-Stack E-Commerce & IT Support SaaS Platform. Built with React, Firebase, Razorpay payments, real-time live chat, admin panel, PWA, and 100+ features. Deployed on Vercel.
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60
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Vishakha Sanjay Yadav
New Delhi, India
CSE student building ML pipelines & AI-powered products
New to Contra
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CSE student building ML pipelines & AI-powered products
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What It Is SevaFlow is a civic complaint management system that lets Indian citizens file government complaints through Telegram without downloading any app or creating an account. The complaint gets automatically understood, routed, and tracked using AI. How It Works End to End A citizen sends a plain text message to the Telegram bot describing their problem. That message gets sent to Google Gemini with a carefully designed prompt at temperature 0.1, meaning the AI outputs consistent, deterministic JSON every time. Gemini extracts the issue type, location, responsible department, priority level, and generates a summary, all returning a confidence score between 0 and 1. The routing engine then takes over. It applies priority override rules first, so words like "fire" or "emergency" always trigger urgent regardless of what the AI said. It maps the AI suggestion to a configured department, assigns an SLA deadline based on department and priority, and stores everything in SQLite. The citizen immediately receives a Telegram confirmation with their reference ID like SF1234, department name, priority, and expected response time. The Admin Side Government officials log into a dashboard at the FastAPI server. They can filter and sort complaints, view the full status history of each one showing who changed what and when, update the status with notes like "team dispatched", and trigger a Telegram notification back to the citizen automatically. What Makes It Technically Interesting The AI pipeline has a two layer fallback. If Gemini fails, keyword matching kicks in to identify the department. If that also fails, it routes to General Services with medium priority and confidence marked as 0.0 so admins know it needs manual review. Nothing gets lost. The department configuration is fully data driven. Adding a new government department requires zero code changes, just a new entry in config.py (http://config.py) with keywords, SLA hours, and contact email. The system picks it up on restart. The database tracks two separate tables: complaints with all AI output stored alongside the raw text, and status history with a complete changelog including timestamps and the identity of who made each change. Why It Won Most hackathon civic tech projects build a web form. SevaFlow used Telegram as the interface because that is where citizens already are, made the AI classification reliable enough to actually route correctly, and built the full government side too, not just the submission side. End to end in one system, deployable on a single lightweight server.
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UniEvent - University Event Management Platform
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Verath: AI-Powered Personal Memory System
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ReGenX - Smart Circular Bio-Waste Logistics Platform
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0
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Priya Verma
Delhi, India
Experimental Visual Designer
22
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Experimental Visual Designer
3
:Mushk is a fictional fragrance brand I originally created as a branding project. When I came across the Bubble Challenge, I saw it as an opportunity to bring the brand to life digitally. Using AI-powered tools and Bubble, I transformed Mushk's identity into a website that reflects its story, aesthetics, and user experience.🫧🛁
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BLACK HOLE Teaser Poster Design
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A young woman reading about a serial killer becomes the target herself. After a brutal home invasion, she wakes up tied to a chair, trapped in the killer's terrifying game. 🎬🔪 Still surprised this entire thriller concept came from just one prompt. 🤯 From suspenseful storytelling to cinematic visuals, AI brought the idea to life. Excited to submit this challenge!
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POV: You open a brand new diary and it immediately tells you to do skincare first. 😂✨ Designed this self-care themed first page as a little reminder that hydration and self-care should probably come before overthinking. 💙📖
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383
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DEVVRAT SHARMA
Delhi, India
AI Web Developer | Vibe Coder 😊
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AI Web Developer | Vibe Coder 😊
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Fully Vibe coded website with the help of claude - Aurum | The luxury Perfume
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Just launched my first digital product on Contra 🖤 AURUM — Maison de Parfum A cinematic luxury perfume landing page built with React + Vite, Three.js, GSAP, and custom GLSL shaders. What's inside: → Full source code (instant download) → Scroll-driven animations & cinematic transitions → Custom fluid shader with mouse distortion → 16kb initial bundle — optimized for performance → Clean component architecture — easy to rebrand Built for agencies, founders, and developers who want a luxury-grade frontend to fork and make their own. $40 — available on my Contra profile. Live demo 👇 https://aurum-perfumes-flame.vercel.app/
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AI Vibe coded webpage for a restaurant | Neon cyber punk 2077 theme.
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Vibe Coded a SaaS Landing Page — Git Analytics Tool, React + Animations
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36
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