AI Campaign Assets + Agents for DTC Growth
AI Campaign Assets + Agents for DTC Growth
Full-stack Engineer | Applied AI/ML
- $25k+
- Earned
- 2x
- Hired
- 5.0
- Rating
- 19
- Followers
Full-stack Engineer | Applied AI/ML
AI & ML Engineer
AI Groceries
An AI-powered online grocery delivery platform built with Next.js 15, React 19, Supabase, Claude API, and Stripe. Designed around "The Harvest Table" philosophy -- abundant, warm, and grounded in real food provenance.
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AI Courses
An online course marketplace with Claude AI-powered learning recommendations, instructor analytics, and platform management. Deploy in minutes, no local setup required.
Features
Course Marketplace — Browse, search, and filter courses by category, price, and level
Student Dashboard — Track enrolled courses, progress, wishlist, and messaging
Instructor Portal — Create courses with structured sections and lessons, manage content
Admin Panel — Moderate courses (approve/reject), manage users, configure platform fees
Claude AI Integration — Personalized learning recommendations, instructor analytics, platform health reports
And more......
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Markey
A multi-vendor marketplace connecting artisan sellers with collectors. Beautiful dark-first design with Stripe Connect split payments, AI-powered product descriptions, and full admin controls. Deploy in minutes, no local setup required.
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Invoice & Inventory Management
A comprehensive invoice and inventory management system with Claude AI integration. Deploy in minutes, no local setup required.
Features:
Professional Invoicing - Create, send, and track invoices
Inventory Tracking - Monitor stock levels with automatic alerts
Customer Management - Centralized customer database
Analytics Dashboard - Revenue charts and profit/loss reports
Stock Alerts - Low stock and out-of-stock notifications
Claude AI Assistant - AI-powered business insights
Demo Mode - Works instantly without any configuration
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AI-First Full Stack Developer | SaaS, PropTech & Health Tech
- 14
- Followers
AI-First Full Stack Developer | SaaS, PropTech & Health Tech
💡 Did you know that most startups fail not because of bad ideas, but because of weak tech execution?
In the past few years, I’ve helped founders in HealthTech, Real Estate Tech, and EdTech turn their early concepts into stable, scalable products that users love.
Here’s what I’ve learned:
1️⃣ Simplicity beats complexity, especially in MVPs.
2️⃣ UX matters as much as backend logic.
3️⃣ Clear communication between devs and non-tech founders is game-changing.
Curious to know, what’s the biggest challenge you’ve faced while turning an idea into a working product?
#StartupTips #ProductDevelopment #FullStackDev #HealthTech #RealEstateTech #EdTech
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Full Stack Engineer & 3D Animator
Full Stack Engineer & 3D Animator
full-stack developer &
UI/UX designer
full-stack developer &
UI/UX designer
View more →
AI Automation Consultant & Strategist
Numun.io (http://Numun.io) is an autonomous agent and workflow execution platform designed to turn intent into action—reliably, securely, and at scale.
Numun enables users and teams to design, deploy, and run AI-powered agents and workflows that browse the web, call tools, orchestrate systems, and complete real tasks end to end. At its core is a contract-based execution model that emphasizes determinism, observability, and accountability—bringing production-grade discipline to AI agents.
Numun is built for developers, operators, and founders who need agents that actually work in the real world—not demos that break under pressure.
This project includes full-stack platform development, execution infrastructure, agent runtime design, workflow orchestration, and system-level reliability engineering.
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AI Builder + Agent Studio is a system for designing, testing, and deploying AI agents and autonomous workflows as structured, production-ready graphs, not fragile prompts.
At the core is Agent Studio, where workflows are defined as explicit graphs made up of agents, tools, conditionals, loops, routers, and outputs.
The AI Builder sits on top of this system and generates complete workflows automatically. Instead of writing code or wiring nodes manually, users describe the goal—and the AI Builder constructs a valid workflow graph.
Every workflow can be tested using a test harness, ensuring agents execute correctly before deployment.
This project demonstrates how AI agents can be treated like real software systems—versioned, validated, and orchestrated—instead of one-off prompt chains.
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Using AI Builder in Agent Studio, I designed and generated a multi-step workflow that orchestrates agents, tools, conditionals, loops, and parallel execution in a single graph.
The workflow interprets user input, plans tasks, executes actions via integrated tools, and produces structured outputs, fully autonomously.
It’s a powerful example of moving from AI-generated plan to real-world actionable execution.
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In Numun.io (http://Numun.io), workflows are first designed and validated in Agent Studio as structured, multi-step graphs—made up of agents, tools, conditionals, loops, and outputs. Once a workflow is complete, it doesn’t live in isolation.
By toggling the workflow on in Agent+ Mode, users can execute that same workflow directly from the AI chat interface.
Instead of receiving a simple text response, the AI runs the full workflow behind the scenes and returns structured run results, including tool outputs, decisions taken, and final outcomes.
The result is an AI experience that goes beyond conversation, turning chat into a live interface for executing and inspecting real autonomous workflows.
In this example, Python code is generated and executed via Fly.io (http://Fly.io), returning a structured summary of results.
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