You will get a working AI SaaS MVP built with Next.js, AI SDK, and PostgreSQL
Project details
I will help you build the first working version of your AI-powered web app or SaaS MVP.
This project is for founders, startups, and teams that need a real product, not just a quick AI demo. I can help with the main parts of the application: frontend, backend, database, authentication, AI integration, API layer, and deployment.
Typical stack:
• Next.js / React / TypeScript
• AI SDK / Vercel AI SDK
• Node.js backend
• PostgreSQL with Prisma
• OpenAI / Claude / Google Gemini
• pgvector if RAG or semantic search is needed
• LangChain or LangGraph if the AI workflow needs it
• Docker and API integrations
Examples of what I can build:
• AI SaaS MVP
• AI chatbot web app
• AI dashboard or internal tool
• AI document assistant
• RAG-based product
• AI workflow automation platform
• Admin panel with AI features
• AI integration into an existing web app
This project is for founders, startups, and teams that need a real product, not just a quick AI demo. I can help with the main parts of the application: frontend, backend, database, authentication, AI integration, API layer, and deployment.
Typical stack:
• Next.js / React / TypeScript
• AI SDK / Vercel AI SDK
• Node.js backend
• PostgreSQL with Prisma
• OpenAI / Claude / Google Gemini
• pgvector if RAG or semantic search is needed
• LangChain or LangGraph if the AI workflow needs it
• Docker and API integrations
Examples of what I can build:
• AI SaaS MVP
• AI chatbot web app
• AI dashboard or internal tool
• AI document assistant
• RAG-based product
• AI workflow automation platform
• Admin panel with AI features
• AI integration into an existing web app
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Models
ChatGPT, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$700
|
Standard
$2,000
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 7 days | 18 days | 35 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | - | - | |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | - | - | |
Source Code | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50
Additional Integration
(+ 3 Days)
+$300Frequently asked questions
About Sergey
Full-Stack SaaS & AI Developer | Next.js, Python, PostgreSQL
Ukraine - 10:00 pm local time
I turn complex architectures into scalable products using TypeScript/Node.js, Next.js, and Python. My background is in high-load data infrastructure — indexers processing 280+ blocks/sec, pipelines for platforms tracking $50B+ in live data — so I bring real engineering rigor to AI and web development, not just API wrappers.
𝗠𝘆 𝗰𝗼𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲
🤖 AI & Agents — LangGraph, LangChain, RAG pipelines, OpenAI/Claude APIs, Vector DBs (pgvector)
⚙️ Backend — TypeScript, Node.js, Python, FastAPI, PostgreSQL, GraphQL, Docker, Kafka
🎨 Frontend — Next.js, React, Vue, Tailwind
𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘄𝗼𝗿𝗸
▸ Multi-Agent Automation — LangGraph-powered workflows with tool use and human-in-the-loop validation
▸ Enterprise Data Explorer & RAG — full-stack platform across 35+ networks with an AI assistant grounded in live indexed data
▸ Event-Driven Data Pipelines — high-throughput streaming architecture (Kafka, Docker, REST API)
▸ Self-Custodial Security Products — full-stack apps with GraphQL admin panels and API integrations
I work async, write clean documented code, and ship things that hold up under real load. Happy to take on AI integration, agent development, or a full-stack/SaaS build — from a scoped MVP to production hardening.
Steps for completing your project
After purchasing the project, send requirements so Sergey can start the project.
Delivery time starts when Sergey receives requirements from you.
Sergey works on your project following the steps below.
Revisions may occur after the delivery date.
Scope
We define the MVP features, user flow, and what should be built first.
Architecture
I plan the frontend, backend, PostgreSQL/Prisma schema, AI SDK integration, model provider, and deployment approach.