Freelancers using Next.js in Banda Aceh

Freelancers using Next.js in Banda AcehFreelancers using Next.js in Banda Aceh

Projects People

Ryan Akmal

Banda Aceh, Indonesia

AI Automation Engineer. I build production-ready AI systems

New to Contra

AI Automation Engineer. I build production-ready AI systems

Cover image for Building Streak — An AI-Powered

Building Streak — An AI-Powered Habit Tracker Focused on Consistency & Accountability Overview Streak is an AI-powered habit tracking platform designed to help users build consistency through structured accountability, intelligent reminders, and real-time progress tracking. Unlike traditional habit trackers that simply record completed tasks, Streak was built to function more like a behavioral coaching system — combining habit management, AI-driven motivation, streak tracking, and conversational accountability into a single experience. The platform includes onboarding flows, AI coaching conversations, real-time habit tracking, reminder systems, progress reviews, and subscription-based feature access designed for long-term engagement and retention. I led the full development of the platform, including the onboarding experience, AI coaching system, real-time application architecture, subscription logic, and behavioral engagement workflows. Goal The primary goal was to create a habit tracking experience that encourages long-term consistency rather than short-term motivation. Most habit apps fail because users lose momentum after the first few days. Streak was designed to solve that problem by combining: - accountability systems - proactive reminders - AI-driven coaching - streak psychology - weekly progress reflection - frictionless check-ins The platform needed to feel fast, personal, and emotionally engaging while still maintaining a clean and modern user experience. What I Built I developed the platform end-to-end with a strong focus on performance, retention, and real-time interaction. My work included: - Building the onboarding-first habit setup experience - Implementing authentication and workspace management - Developing real-time habit tracking and check-in systems - Building AI coach messaging workflows powered by Open AI - Implementing AI intent parsing for contextual coaching responses - Creating proactive reminder pipelines and weekly review systems - Building free vs pro subscription enforcement systems - Designing responsive UI components and habit management flows - Developing real-time state synchronization across habits, chats, and streak activity - Optimizing application performance and interaction speed Workflow & System Design One of the key challenges was designing the platform around behavioral consistency instead of simple task completion. The AI layer was designed to: - understand user intent and emotional context - encourage habit completion naturally - provide accountability-oriented responses - trigger reminders and motivational nudges - support long-term user engagement patterns - The system architecture also prioritized: - real-time responsiveness - low-friction interactions - scalable habit state management - fast onboarding and retention optimization The overall experience was designed to feel lightweight, motivating, and habit-forming without overwhelming the user. Implementation The platform was built using a modern real-time full-stack architecture. Core technologies including Next.js, React, Convex realtime backend, Clerk authentication, Open AI integration, Web Push notifications The application leveraged real-time state synchronization to ensure habits, streaks, reminders, and AI interactions updated instantly across the user experience. Result Streak successfully delivered a fast and engaging habit tracking experience centered around accountability and consistency. The platform enabled users to: - track habits in real time - maintain streak motivation - receive proactive AI coaching - stay accountable through reminders and reviews - reduce friction in daily habit management The AI coaching system added a more personal and engaging layer to the product, helping the platform feel more interactive than traditional habit trackers. Outcome This project demonstrated how AI can be applied to productivity and behavioral systems in a more meaningful way, not simply as a chatbot feature, but as an engagement and accountability layer integrated directly into the product experience. The result was a modern habit platform designed to help users stay consistent, build momentum, and maintain long-term behavioral progress more effectively.

Cover image for Building an AI-Powered Website Chatbot

Building an AI-Powered Website Chatbot Platform for Customer Support & Lead Conversion Overview Chattiphy is an AI-powered website chatbot platform designed to help businesses engage visitors, automate support, capture leads, and improve conversion directly from their website. The platform allows businesses to embed a fully customizable AI assistant into their landing pages and web applications without complex setup. Beyond basic chat automation, Chattiphy provides conversation analytics, AI training systems, widget customization, lead tracking, and workflow management tools through a centralized dashboard. I led the end-to-end development of the platform, including the chatbot infrastructure, widget embedding system, AI response workflows, analytics dashboard, customization engine, and conversation management tools. Goal The goal of the project was to transform traditional website chat widgets into intelligent AI-powered customer interaction systems that could operate 24/7 while maintaining a natural and branded user experience. The platform needed to help businesses: - answer visitor questions instantly - reduce repetitive support workload - capture and qualify leads automatically - improve customer engagement - increase conversion opportunities - provide scalable customer communication workflows Rather than building a simple chatbot popup, the focus was creating a business-ready AI engagement platform that integrates seamlessly into modern websites. What I Did I built the platform from the ground up with a strong focus on usability, scalability, and real-world business adoption. My work included: - Building the AI chatbot infrastructure and messaging workflows - Developing the embeddable website widget system - Creating the admin dashboard and analytics platform - Designing customizable widget themes and appearance settings - Implementing AI knowledge training from website content and FAQs - Building lead capture and visitor engagement workflows - Creating conversation tracking and performance analytics - Developing bot behavior and response configuration systems - Implementing multi-source AI context handling - Building integration-ready backend systems for future scalability Workflow & System Design One of the core challenges was designing the platform as an intelligent customer engagement system instead of a static support widget. The AI layer needed structured access to: - website content and documentation - FAQs and support resources - conversation history - lead capture workflows - widget behavior configuration - business tone and response rules This allowed the chatbot to provide more relevant, contextual, and human-like responses tailored to each business. The platform was designed around operational simplicity: easy embedding, fast setup, customizable branding, measurable engagement metrics, and scalable AI-driven communication. Implementation The platform was built using modern full-stack architecture and AI-driven conversational systems. Key implementation areas included: - React-based dashboard interface - embeddable website chatbot widget - AI-powered conversational workflows - widget appearance & theme customization - analytics and engagement tracking - AI knowledge base systems - lead capture workflows - real-time messaging infrastructure - role-based workspace management - scalable backend architecture Result The platform successfully enabled businesses to deploy AI-powered chat experiences directly on their websites with minimal setup. Businesses were able to automate visitor communication, engage users instantly, reduce manual support workload, capture more qualified leads, improve customer experience and monitor chatbot performance through analytics dashboards The system achieved fast AI response times while maintaining a clean, branded, and customizable customer experience across different website types. Outcome This project demonstrated how AI chat systems can evolve beyond traditional support widgets into scalable business communication infrastructure. Instead of acting like a generic chatbot, Chattiphy was designed to function as an intelligent website engagement layer that helps businesses support users, capture opportunities, and improve customer interaction workflows in a more efficient and scalable way.

Cover image for Voxify | AI Text-to-Speech Platform
Built

Voxify | AI Text-to-Speech Platform Built a production-ready AI voice platform that lets creators, businesses, and developers generate realistic speech audio at scale — fast, clean, and API-ready. What the platform does Multi-voice generation with customizable expression and speaking style, organization-based workspace collaboration, real-time audio synthesis with low latency playback, developer-friendly REST APIs, and usage tracking with credit and analytics systems. What I built Led end-to-end development across the full stack — dashboard experience in Next.js, Python FastAPI service on Modal (GPU A10G) for TTS inference, Prisma with PostgreSQL for data modeling, Cloudflare R2 for audio storage and delivery, and a typed API layer using tRPC and OpenAPI typegen. Auth and org management handled via Clerk. Stack Next.js + TypeScript — Python FastAPI — Prisma + PostgreSQL — Cloudflare R2 — tRPC — Clerk — Tailwind + shadcn/ui — TanStack Query — Zod The result A scalable voice infrastructure product, not just a demo. Teams can generate high-quality voiceovers instantly, manage multiple voice profiles, and plug audio generation directly into their products through a clean API. Built for creators, built for developers, built for scale.

Cover image for Building an AI-Powered WhatsApp Sales

Building an AI-Powered WhatsApp Sales & Support Platform for Businesses Overview Wabrix is a WhatsApp automation platform designed to help businesses handle customer conversations at scale using AI. The platform enables brands to automate support, qualify leads, answer FAQs, recover abandoned customers, and manage conversations directly through WhatsApp with a fast, human-like AI assistant. I led the end-to-end development of the platform, including the AI chat infrastructure, WhatsApp integration system, onboarding flow, automation builder, analytics dashboard, and real-time conversation management tools. Goal The main goal was to turn WhatsApp from a manual support channel into an AI-powered operational workflow that could increase response speed, reduce support workload, and improve customer conversion. From a business perspective, the platform needed to do more than simply auto-reply messages. It had to function as an intelligent sales and support assistant that could: - qualify leads automatically - guide customers through buying decisions - handle repetitive support requests - recover potential lost sales - escalate conversations to human agents when needed The product was designed to help businesses respond instantly while maintaining a natural and branded customer experience. What I Did I built the platform from the ground up with a strong focus on scalability, automation, and real-world business usability. My work included: - Building the WhatsApp AI chat infrastructure and messaging workflows - Developing the admin dashboard and conversation management system - Creating automation flows for support, lead qualification, and customer follow-up - Integrating WhatsApp Cloud API for real-time messaging - Designing AI context handling for better response accuracy and brand consistency - Implementing multilingual support for broader business adoption - Building analytics and reporting systems for tracking engagement and response performance - Creating human handoff systems for support escalation - Developing onboarding flows to simplify setup and adoption for businesses Workflow / System Design One of the most important parts of the project was designing the platform as a business workflow system rather than a simple chatbot. The AI layer needed structured access to: - customer conversations and message history - business knowledge and FAQs - sales and support workflows - lead qualification logic - human escalation rules - response behavior and brand tone This allowed the AI to operate more like a real support and sales team member instead of a generic assistant. The platform was designed around operational efficiency: automated responses, structured customer flows, measurable outcomes, and smooth human collaboration when needed. Implementation The platform was built using modern full-stack architecture and real-time messaging systems: - React-based admin dashboard - WhatsApp Cloud API integration - AI-powered conversational workflows - real-time messaging infrastructure - automation and escalation systems - analytics and conversation tracking - multilingual AI response handling - role-based workspace management - performance monitoring and reporting tools Result The platform successfully helped businesses automate customer communication while improving operational efficiency and response speed. Businesses were able to: - reduce manual support workload - respond to customers instantly - increase lead engagement - improve conversion opportunities - manage conversations more efficiently through centralized workflows The system achieved extremely fast AI response times, averaging around 17 seconds for automated support interactions. Outcome This project demonstrated how AI can be applied to WhatsApp in a practical, business-focused way. not as a gimmick, but as a scalable communication workflow that supports sales, support, and customer experience simultaneously. The result was a platform that helped businesses operate faster, respond smarter, and create a more seamless customer journey directly inside WhatsApp.

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