Freelancers using Clerk
Freelancers using Clerk
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Moses Adebayo
pro
Lagos, Nigeria
Proficient Full-Stack Engineer | Replit Expert
$25k+
Earned
61x
Hired
4.9
Rating
85
Followers
Expert
Expert
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Proficient Full-Stack Engineer | Replit Expert
0
TrustedRV Marketplace Flow Enhancement
0
16
0
Beezy Mobile App Development
0
16
1
Open House Real Estate Mobile App
1
22
0
Pulse β AI Health Guidance & Emergency Assistance Platform
0
9
Clerk
(1)
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Faarid Qureshi
pro
Karachi, Pakistan
Full Stack Engineer | MVPs Shipped in 2 Weeks
$25k+
Earned
7x
Hired
5.0
Rating
35
Followers
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Full Stack Engineer | MVPs Shipped in 2 Weeks
0
Another MVP shipped. π This time, it's an AI-powered hiring platform designed to help companies identify and engage the right talent more effectively. One thing I've learned after building products for different founders is that every "simple idea" hides dozens of product decisions behind the scenes. That's the part I enjoy the most. On to the next build.
0
52
0
AI Hiring Platform
0
1
3
Traced - Tenant Advocacy Platform
3
18
2
C2BM Workforce Management System
2
17
Clerk
(2)
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Haris M.
pro
Lahore, Pakistan
Full Stack Web & Mobile Dev | Next Js | AI Agent | React
1x
Hired
5.0
Rating
27
Followers
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Full Stack Web & Mobile Dev | Next Js | AI Agent | React
1
Prodigi Studios: Mobile App Development
1
8
1
Restate - Real Estate Mobile App Development
1
4
2
Northward Capital Investment Platform Development
2
10
1
Chat Buddy β Real-Time Mobile Chat Application Development
1
6
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(2)
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Muhammad Tahir A
pro
Sharjah - United Arab Emirates
Brand Strategist and Product Design, Full-stack & AI Dev.
$5k+
Earned
1x
Hired
27
Followers
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Brand Strategist and Product Design, Full-stack & AI Dev.
0
Professional SaaS style Full-Stack designed for MVP
0
14
0
San Camilo Merchandising Capsule
0
1
0
T-Shirt Design Created as a print-ready asset, adaptable across garments and physical formats. Deliverables include full production files and mockups.
0
14
0
Investor Pitch Deck Design for THISβ’
0
1
Clerk
(1)
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Saif Ullah Mushtaq
pro
Lahore, Pakistan
Certified Full-Stack Engineer, AI Expert & Tech Enthusiast!
5.0
Rating
13
Followers
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Certified Full-Stack Engineer, AI Expert & Tech Enthusiast!
0
PennyWise - A Seamless and Elegant Budgeting Experience
0
5
0
Streamly SaaS Platform Development
0
7
0
Gymlytic - SaaS Gym Management Platform
0
4
0
Development of DeepSeek AI Chatbot SaaS Platform
0
7
Clerk
(1)
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Yinka Adesina
Nigeria
Full-Stack & AI Developer | Next.js, AI Agents, LLM Apps
5.0
Rating
8
Followers
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Full-Stack & AI Developer | Next.js, AI Agents, LLM Apps
2
ShowTicket: Full-Stack Movie Booking Platform
2
40
0
AI-Powered CBT Preparation Platform Development
0
0
0
Front-End Development for BOAR Agro Corporate Website
0
1
2
Avenue Impact Platform Development
2
12
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(1)
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Hikari Builds
San Jose, USA
AI SaaS Engineer | MVPs, Agents, Automation, Next.js, Python
1x
Hired
8
Followers
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AI SaaS Engineer | MVPs, Agents, Automation, Next.js, Python
1
I led the development of MyOfLink as founding engineer, building a full-scale SaaS platform designed to help creators and businesses manage their online presence through advanced link infrastructure, analytics, and monetization. The goal was to go beyond traditional βlink-in-bioβ tools by creating a high-performance platform that improves engagement, tracks user behavior, and enables scalable monetization. I architected and built the platform end-to-end using Next.js, TypeScript, and Tailwind CSS, leveraging server-side rendering and React Server Components to significantly improve performance. The result was a fast, responsive product achieving a 95β98+ Lighthouse score and noticeably reduced load times. A core innovation was the deep-linking system. I engineered a solution to bypass in-app browser limitations on platforms like Instagram, Reddit, and TikTok using intelligent user-agent detection and platform-specific routing. This improved link conversion rates and overall user engagement by approximately 40 percent. I also built a real-time analytics dashboard to give users actionable insights into their traffic and performance. This included click-through rates, conversion metrics, and geographic data, enabling more informed decision-making for creators and businesses. On the monetization side, I implemented a full Stripe-based billing system with subscription tiers, usage-based pricing, and webhook-driven automation. The checkout experience was designed to be seamless, secure, and optimized for conversion. The final product is a high-performance SaaS platform that combines advanced linking technology, real-time analytics, and scalable monetization into a single cohesive system. This project highlights my ability to design and deliver complex SaaS products from the ground up, with a strong focus on performance, user experience, and real business outcomes.
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87
2
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 βghost trafficβ 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
190
2
Gribbit β 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 βloreβ 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
218
1
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
127
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(1)
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Muhammad Unain
Karachi, Pakistan
Next.js Landing Page Developer | AI Web Apps | GSAP
6
Followers
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Next.js Landing Page Developer | AI Web Apps | GSAP
1
Wisera AI Voice Mentor & Learning Companion
1
0
1
Clario AI AI-Powered Interview Practice Platform A full-stack AI interview prep platform that helps job seekers practice and improve before the real thing. Users create an interview by entering their target role, industry, and experience level the AI generates tailored questions and conducts a realistic voice or text-based mock interview, then delivers detailed feedback. How it works: User creates a profile target role, industry/stack, experience level Selects interview type technical, behavioral, or case study Practices with AI voice-based or text-based interview Gets detailed feedback, performance analytics, and model answers Key features: AI-generated questions tailored to role, industry, and experience Real-time voice interview with AI (Vapi) Text-based chat interview mode Real-time voice analysis tone, pacing, clarity feedback Detailed performance analytics dashboard Credit-based subscription system with 3 tiers Public shareable agent URL Built with: Next.js, TypeScript, Vapi, Polar (billing), Hono RPC, Vercel AI SDK Live Demo: https://clario-sh.vercel.app/ #vapi #nextjs #clerk
1
110
1
CareIntake connects patients and doctors through AI-driven voice consultations so every appointment starts with complete, structured information.
1
186
1
InkFlow AI powered Journal
1
162
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(4)
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