Freelancers using Next.js in IndonesiaFreelancers using Next.js in Indonesia
ProjectsPeople
Adam Bagus M's avatar
Adam Bagus M
proIndonesia
Webflow, Framer, Webstudio, Shopify, Clickfunnels Designer
$250k+
Earned
37x
Hired
4.7
Rating
113
Followers
TOP_INDEPENDENT

Top

WEBFLOW_EXPERT

Certified Partner

+2
Webflow, Framer, Webstudio, Shopify, Clickfunnels Designer
Cover image for Header iteration landing page
Header iteration landing page
0
44
Cover image for Quiz landing page
Quiz landing page
0
10
Cover image for Social media ads design draft
Social media ads design draft
0
78
Cover image for Golf Shaper Service
Golf Shaper Service
0
105
Next.js(24)
Kelvin Desman's avatar
Kelvin Desman
Jakarta, Indonesia
Mind of an engineer and the heart of an entrepreneur.
$50k+
Earned
1x
Hired
11
Followers
Mind of an engineer and the heart of an entrepreneur.
Cover image for For every feature I shipped
For every feature I shipped with an AI agent, I shipped more than two fixes. 1,000+ PRs. 84 days. Solo. The throughput was real — but 360 of those PRs were fixes against 150 features. That ratio is the part nobody puts in their recap post. The core problem: the agent is a 20× author, not a 20× reviewer. I had no leverage on verification — just guards built from past failures, useless against anything new. What I'd change: second agent for adversarial review only, and changes small enough that being wrong is cheap. Agentic engineering doesn't remove the hard part. It moves it.
1
63
Cover image for Optimize Remote Job Applications for Indonesian Developers w...
Built a RAG job-hunting agent for Indonesian developers applying to remote USD jobs. 28 days of real usage. Here's what I learned. The problem: applying to 50+ remote jobs manually is exhausting. Wrong roles, no resume tailoring, hours wasted per application. The workflow now: One message → agent retrieves relevant jobs → ranks them → generates tailored resume + cover letter → user approves or skips. Stack (still running $0 free tier): · Embeddings: Cloudflare Workers AI qwen3-embedding-0.6b · Vector search: Cloudflare Vectorize, cosine similarity · Database: Cloudflare D1 / SQLite, one batched query · Semantic cache: Cloudflare KV, cosine ≥0.92 threshold · LLM: JSON-mode slot extraction + reply Only variable cost: ~$0.002/turn LLM usage 28-day numbers: · 235 sessions · 329 return visits · 743 agent turns · 357 job cards surfaced → 46 approved applications ~20 approvals per 100 sessions (target was 10–15) Total LLM cost: ~$1–4 Example matches from one natural-language query: Linear — 96/100 · DatAds — 95/100 · Spotify — 100/100 Two decisions I'd make again: · The scorer is deterministic — pure function, 7 weighted components, 0–100. No model drift. Users see exactly why a job scored highly. I didn't trust LLM ranking for something this consequential. · There's a regex fallback behind every LLM extraction. If the model fails or times out, the conversation continues. Users never hit a dead end. What's next: · Tracking downstream outcomes — recruiter replies, interviews Detecting expired/duplicate posts more aggressively Calibrating scoring weights from real approval behavior · The pipeline runs cheaply and generates real approvals. The next challenge is proving it improves actual job outcomes — not just application volume. This is the kind of system I enjoy building: AI-native product on constrained infra, with real users and measurable north-star metrics. If you're working on something similar — hiring pipelines, talent matching, AI agents for job seekers — I'd enjoy comparing notes. And if you're an Indonesian dev hunting remote USD roles, the product is live at lokerdollar.com (http://lokerdollar.com). What would you build differently? 👇 #RAG (https://www.linkedin.com/search/results/all/?keywords=%23rag&origin=HASH_TAG_FROM_FEED) #CloudflareWorkers (https://www.linkedin.com/search/results/all/?keywords=%23cloudflareworkers&origin=HASH_TAG_FROM_FEED) #BuildInPublic (https://www.linkedin.com/search/results/all/?keywords=%23buildinpublic&origin=HASH_TAG_FROM_FEED) #AIEngineering (https://www.linkedin.com/search/results/all/?keywords=%23aiengineering&origin=HASH_TAG_FROM_FEED) #RemoteJobs (https://www.linkedin.com/search/results/all/?keywords=%23remotejobs&origin=HASH_TAG_FROM_FEED) #IndonesianDevelopers (https://www.linkedin.com/search/results/all/?keywords=%23indonesiandevelopers&origin=HASH_TAG_FROM_FEED)
3
114
Cover image for Most LLM telemetry posts brag
Most LLM telemetry posts brag about what they monitor. Here's mine — including what I'm still missing. Built this for lokerdollar.com (http://lokerdollar.com), solo, in production: Covered: — p50 / p95 / p99 latency per task — cost per 1k tokens + daily burn + per-task spend — provider success rates + circuit breaker state — cache hit rate, quota / rate limit tracking — model leaderboard scored on live traffic Gaps I'm still chasing: — prompt versioning tied to quality signals — TTFT for streaming UX (matters for chat tasks) — per-user cost attribution — semantic error taxonomy, not just HTTP codes — push-based degradation alerts (today's playbook is reactive) The lesson from running this solo: observability is never "done." It's a backlog that evolves with the product — and the gap list is more honest signal than the green checkmarks. → Open for AI platform / full-stack work. If you want this layer for your team, my DMs are open.
1
64
Cover image for LokerDollar.com
LokerDollar.com
0
7
Next.js(8)
Nemesis 's avatar
Nemesis
Jakarta, Indonesia
I’m a web developer who can build clean, functional, and mod
I’m a web developer who can build clean, functional, and mod
Cover image for Course App
Course App
0
78
Cover image for Company Management Dashboard - Factory 2.0
Company Management Dashboard - Factory 2.0
1
130
Cover image for Business Management Platform Development
Business Management Platform Development
0
5
Cover image for Greenfood App
Greenfood App
0
2
Next.js(5)
Adnan Bintang's avatar
Adnan Bintang
Bandung, Indonesia
I build fast, beautiful landing pages and websites.
New to Contra
I build fast, beautiful landing pages and websites.
Cover image for Coffee Shop Landing Page Design
Coffee Shop Landing Page Design & Development Project Value: $150 USD Designed and developed a modern coffee shop landing page that blends warm aesthetics with a seamless user experience, helping the brand create a memorable online presence and attract more customers. What was delivered Elegant and modern UI inspired by premium coffee brands Fully responsive design optimized for desktop, tablet, and mobile Visually engaging hero section with immersive imagery Well-organized menu and featured products presentation Smooth scrolling and subtle animations for a premium browsing experience Strategic call-to-action sections to encourage reservations and customer inquiries Fast-loading, performance-optimized frontend Clean, maintainable code built with modern web technologies Project Highlights This project was designed to capture the atmosphere of a modern café while showcasing its menu and brand identity through a clean, visually appealing interface. Careful attention was given to typography, spacing, and visual hierarchy to create an inviting experience that keeps visitors engaged. The result is a professional, conversion-focused landing page that enhances brand credibility, improves customer engagement, and provides an enjoyable browsing experience across all devices. Project Price: $150 USD
0
4
Cover image for Restaurant Landing Page Design &
Restaurant Landing Page Design & Development Project Value: $125 USD Designed and developed a modern landing page for a local food brand, focused on showcasing the menu, strengthening brand identity, and making online ordering simple and intuitive. What was delivered Modern and appetizing UI tailored for a food & beverage business Fully responsive design for desktop, tablet, and mobile devices Engaging hero section with strong visual branding Well-structured food menu with attractive product presentation Smooth scrolling experience and subtle interactive animations Clear call-to-action sections to encourage WhatsApp orders Performance-optimized frontend for fast loading Clean, maintainable code built with modern web technologies Project Highlights The website was designed to create a memorable first impression while making it effortless for customers to explore the menu and place an order. The clean layout, appealing food presentation, and intuitive navigation help increase customer confidence and enhance the overall digital experience. This project demonstrates how a simple yet thoughtfully designed landing page can elevate a local food business, improve its online presence, and support customer conversions. Project Price: $125 USD
0
8
Cover image for Startup Landing Page Design &
Startup Landing Page Design & Development Project Value: $200 USD Designed and developed a modern startup landing page focused on helping early-stage businesses establish a strong online presence and communicate their vision with clarity. What was delivered Modern and professional startup-focused UI Clean, responsive design for all screen sizes Engaging hero section with a clear value proposition Structured content flow to improve user engagement Smooth scrolling and interactive user experience Modern typography and balanced visual hierarchy Strategic call-to-action sections to encourage sign-ups and inquiries Performance-optimized frontend with clean, maintainable code Project Highlights This project was created to help a startup communicate its mission, attract potential team members, and present its business idea in a professional way. Every section was carefully designed to build trust, simplify information, and guide visitors toward taking action. The final result is a fast, visually engaging, and conversion-focused landing page that strengthens brand credibility while delivering a polished user experience across all devices. Project Price: $300 USD
0
12
Cover image for Premium Shoe Brand Landing Page Project
Premium Shoe Brand Landing Page Project Value: $300 Designed and developed a premium landing page for a modern footwear brand, combining luxury aesthetics with a conversion-focused user experience. What was delivered Modern and elegant UI inspired by premium fashion brands Responsive design optimized for desktop, tablet, and mobile Smooth scrolling experience with refined animations and transitions Strong visual hierarchy to showcase products and brand identity High-quality product presentation with premium typography and spacing Strategic call-to-action sections to encourage customer engagement Performance-optimized layout for fast loading and seamless browsing Clean, scalable code built with modern web technologies Project Highlights The landing page was crafted to communicate a premium brand image while maintaining a minimalist and sophisticated design language. Every section was intentionally designed to guide visitors through the brand story, highlight the footwear collection, and maximize user engagement. The result is a visually polished website that strengthens brand credibility, improves first impressions, and creates a shopping experience that feels both modern and luxurious. Project Price: $300 USD
0
16
Next.js(4)
Ryan Akmal's avatar
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.
1
55
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.
1
56
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.
1
95
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.
2
4
168
Next.js(4)
Componine Creative's avatar
Componine Creative
proJakarta, Indonesia
Brand, Website, Product, Motion, & Development for Startups
$25k+
Earned
10x
Hired
5.0
Rating
6
Followers
Brand, Website, Product, Motion, & Development for Startups
Cover image for For years we helped other
For years we helped other startups and studios to build other people's websites, products & brands. Today we're launching Componine Creative Studio. A few things we care about: → Staying close to the work. You'll talk to the founder directly, not someone passing your brief down a chain. → Keeping things under one roof. Web, product, brand, motion, all in the same place. → Quality over quantity. We only take on a limited number of projects at a time, so nothing gets rushed or watered down. New site is live. Visit Componine.com (https://www.componine.com/)
0
222
Cover image for Design a Brand & Website for Componine Creative Studio
Design a Brand & Website for Componine Creative Studio
0
12
Cover image for Design a Brand, Website & Product for Baxso Management Tool
Design a Brand, Website & Product for Baxso Management Tool
0
4
Cover image for Web3/AI Rebrand and Product Design for Hub
Web3/AI Rebrand and Product Design for Hub
0
5
Next.js(1)