Senior AI Full Stack Developer | Next.js | OpenAI LLM Integration | AI Matchmaking Platform

@opencollar

Hi, I see you want a platform that really understands users and matches them perfectly. Sometimes, making that feel natural and fun is quite the puzzle! I will handle all the matching logic, user flows, and integrations smoothly, making sure the AI engine analyzes user data effectively. Did you consider how to keep user data private while creating detailed compatibility profiles? Let’s chat about a plan to build something big together. Regards, Nick. I worked on a multivendor marketplace and a ticketing system, which both needed secure data handling and smooth UI. Also, I helped develop a freelancer marketplace with AI features, perfect for your AI matchmaking needs. And I’ve built a hotel booking app with multi-user workflows—happy to bring all that experience to your project!

@n2rtechnologies

Hi, I've built AI-powered SaaS platforms with OpenAI integration and custom matchmaking engines before. I noticed you need a compatibility engine that uses LLMs for intelligent analysis — that's exactly what we've delivered for similar platforms. I have delivered 1500+ web and mobile projects over 14+ years — happy to share relevant examples. Let's discuss your MVP scope and timeline. Reach out and we'll map out the architecture together. Regards, Nurul Hasan

@A2Design

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@ykarora26

With extensive experience in integrating OpenAI API and developing AI-powered recommendation systems, I am well-equipped to take on your premium AI-powered social event platform project. My past work in AI workflow automation aligns perfectly with your requirements. Could you share more details about the specific user authentication and role-based dashboard functionalities you envision for the platform? Regards, Yogesh Kumar

@sunainawbst

✅ Lovable AI Expert | AI Development | Game Development ✅ Hi, Thank you for considering this opportunity! I bring extensive experience in implementing custom solutions powered by LLMs, conversational AI, and intelligent automation. Recently I have been working on Lovable AI for developing a gaming platform using it, complete with chat-based agent logic, expressive front-ends, and backend integrations. See here : In other project, implemented a fully automated AI agent system for intelligent meeting creation using ElevenLabs Conversational AI and Gemini (via a custom agent brain). The flow integrates voice interaction, natural language processing, location precision, and frontend. Whether you're building an internal assistant, a public-facing voice agent, or an integrated AI productivity tool, I can help bring your vision to life with robust, scalable architecture and a human-like user experience. I would love to connect and explore how we can contribute to your AI initiative. Regards Ranjana

@AnumFatima210

I am a senior full stack developer with extensive experience building AI driven platforms using Next. js and OpenAI API. I have successfully deployed similar matchmaking systems that leverage vector databases and LLMs to pair users based on complex data points. My expertise in building responsive frontends with Next. js and scalable backends ensures your AI Matchmaking Platform MVP will be high performing and production ready. I specialize in prompt engineering and RAG implementation to provide accurate, context aware matching results. I can deliver a clean, modular codebase that allows for easy scaling as your user base grows. I am available to start immediately and can provide a detailed technical roadmap for this MVP.

@krupnovdenis

Hello! We can build the MVP of your AI-powered matchmaking platform and connect the core workflows. 1. Do you already have a clear MVP scope and user flow? 2. Which part should we prioritize first: matchmaking logic, dashboards, or payments? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@mughiraaa

Hello, I have already completed similar AI driven web platform projects and have strong experience in web development, APIs, AI integrations, and scalable software solutions. I can quickly understand your requirements and deliver exactly what you need for your MVP. Your platform combines AI matchmaking, event management, secure authentication, payments, multilingual support, and modern user experiences. I can help connect these features into a reliable solution while keeping the system ready for future growth. Do you already have the compatibility scoring logic defined, or would you like help designing the AI decision process and prompts? I would be happy to share relevant work and discuss your project in a quick meeting to explore the best approach. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@Muhammadzeesha59

Hello Sir/MAM OpenAI will be the primary LLM, or should the platform support multiple providers? I am a Skilled Full Stack Developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms, Linux , Windows , Cloud , Azure , Ubuntu , OpenAI , Desktop Applications. Web Development I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning “Computer Vision ” Object Detection”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@hoangvanp

Hello, Developing the MVP for your AI-powered social event and matchmaking platform involves combining modern web technologies with Large Language Models (LLMs) to deliver intelligent compatibility analysis and personalized user experiences. I would approach this by first reviewing the existing architecture to ensure scalability and security. The integration of the OpenAI API as the core AI engine would be a key focus, along with developing a custom AI-powered matchmaking and compatibility engine. I have experience with similar projects involving AI workflow automation and AI-powered recommendation systems, which I believe would be beneficial for this platform. A few questions: Which specific AI reasoning and decision logic requirements do you have? How do you envision user authentication and role-based dashboards functioning within the platform? Best regards,

@bcosley

Hi, You're building an AI-powered social event and matchmaking platform with an OpenAI-backed reasoning engine that drives user flows. I’ve worked on AI-first SaaS projects where the AI informs recommendations and the frontend remains crisp for real users. Execution approach: I'd start by validating the current flow, isolate unstable parts, then build against real usage patterns. We'll validate prompts and data flows, then implement a minimal end-to-end loop for matches, events, and payments, with testing tied to real signals. One technical risk / key challenge: prompt drift and data isolation across users in a multilingual, multi-region setup. Two clarification questions: What should happen if a user updates preferences after a match run, should matches recompute in real time or in batches? How should waitlisted users be handled when events change due to cancellations or capacity updates across regions? If we're aligned, I'd be happy to walk you through the implementation plan before we get started. Best regards, Brandon

@naeem1114

Handling the compatibility engine's real-time scoring while keeping API costs low is where things can get tricky. I'll set up a lightweight RAG layer that caches embeddings in Supabase and only calls OpenAI for new inputs, trimming latency and spend. User role dashboards will be gated by Supabase auth rules so the front‑end can render the right view without extra checks. A common pitfall is returning raw LLM text and then parsing it on the client, which leads to fragile code. Instead, I'll enforce structured JSON output directly from the prompt and validate it server‑side before storing in PostgreSQL. Ready to start immediately and get the core matchmaking loop running.

@parshant18

Plese sir i needed this work plz plz plz please please please please please please please please please please please

@roell3

Hi, I build AI-native backends and LLM systems, with solid experience in Python services, PostgreSQL, auth flows, payments, and production ML/LLM pipelines. The hard parts here are keeping matchmaking outputs consistent and explainable, managing real-time personalization under cost and latency limits, and aligning user data, events, and payments without race conditions. There’s also risk around evaluation, drift, and multilingual behavior affecting match quality. How is compatibility quality defined and measured today? What is the expected request pattern—interactive matching or batch scoring? What constraints exist around payments, identity, and regional compliance? Happy to discuss further.

@dmytrobazavluk

Hi, Dmytro here from Illinois. The usual culprit in AI-driven matchmaking platforms points at unconstrained LLM prompt responses causing schema parsing failures during structured JSON generation, which leads to inconsistent compatibility scoring and broken client-side render states. My approach to building this AI social matchmaking MVP focuses on: • Deterministic AI Compatibility Engine: Utilizing OpenAI Structured Outputs (response_format: { type: "json_schema" }) enforced with Zod schemas to guarantee valid, multi-dimensional compatibility scores, personality trait vectors, and personalized match rationales. • Supabase & PostgreSQL Architecture: Structuring scalable relational schemas with strict Row Level Security (RLS) policies to handle multi-tenant profiles, event ticketing, automated waiting lists, and real-time notification flows. The critical decision hinges on whether you plan to leverage Supabase Vector (pgvector) for profile embedding similarity pre-filtering in PostgreSQL before passing candidate pairs to OpenAI, or rely on direct LLM reasoning calls for the initial MVP. If a short call is easier, we can settle your AI scoring pipeline and TWINT integration strategy in ten minutes — otherwise, tell me whether you prefer a pgvector hybrid approach or pure LLM evaluation, and I'll start on the technical architecture outline.

@najamulilsam

Good day! Based on your requirements, I understand that you need an AI-powered social event and matchmaking platform that combines intelligent compatibility analysis, event management, bookings, multilingual support, secure payments, and personalized recommendations using LLMs. The platform will include AI driven matchmaking, role based dashboards, simple architecture, and integrations with OpenAI, Stripe, and TWINT. A few questions: 1. How will the AI compatibility score be calculated questionnaires, personality traits, user behavior, or all of these? 2. Will users be matched only for events, or also for long term networking, friendships, or dating? 3. Do you need KYC/identity verification before users can join events or interact? 4. How will event bookings, cancellations, refunds, and waiting lists be managed? 5. Do you need a subscription model, pay per event, or both for revenue generation? I would love to discuss your project more in detail on a quick call or chat. Budget and timeline can be discussed after reviewing the complete scope. Best Regards, MVP Development Services (HJ)

@rahulb058

Hello, Your project is an excellent fit for our expertise. We specialize in building AI-native SaaS applications using modern full-stack technologies and can deliver a scalable MVP that is designed for future growth.

@rambalik

**1. AI Travel Planner** * Built an AI-powered travel assistant using LangGraph and OpenAI. * Personalized itinerary generation. * Multi-agent architecture for planning, budgeting, weather, and recommendations. **2. Enterprise RAG Chatbot** * Built a production-ready chatbot using OpenAI, Pinecone, and LangChain. * PDF and website knowledge ingestion. * Semantic search with citation support. * Structured JSON responses. Best regards, Rambali Kumar AI & Generative AI Developer

@syediaforzaa

Dear Hiring Manager, I am writing to express my interest in the PHP, Website Design, HTML, and Web Development position at your company. I have a strong interest in building responsive, user-friendly, and visually appealing websites. I enjoy learning new technologies and continuously improving my web development skills. I have experience working with HTML, CSS, PHP, and basic JavaScript to create functional and well-structured websites. I pay close attention to clean code, website performance, and responsive design so that websites work smoothly across different devices. I am also familiar with maintaining existing websites and making improvements based on project requirements. I would appreciate the opportunity to discuss how my skills and enthusiasm can benefit your team. Thank you for considering my application. I look forward to hearing from you. Sincerely, Afroza Akther