AI SaaS MVP – Next.js, FastAPI, SQL Server & LLM

@OutsourceMan

Hello Valuable Client, CnEL India can build your WooCommerce cosmetics store with a fast, user-friendly shopping experience and scalable product filtering. Our methodology will be: 1. **Store Analysis:** Review products, attributes, branding, hosting, and required filter combinations. 2. **WooCommerce Setup:** Configure products, categories, inventory, cart, checkout, shipping, tax, and payment gateways. 3. **Advanced Filtering:** Implement AJAX-based search and multi-facet filters for shade, finish, skin type, price, and future attributes, with optimized queries to minimize unnecessary page loads. 4. **UI Development:** Customize a lightweight responsive theme matching your brand guidelines. 5. **Performance:** Optimize queries, assets, caching, and plugin usage for fast search and filtering. 6. **Testing:** Test filtering across 20+ SKUs, combinations, mobile/desktop behavior, checkout, payments, and emails. 7. **Handover:** Provide a simple CMS walkthrough for adding products and managing future attributes. We’ll focus on a clean, scalable implementation without unnecessary plugin bloat. Best regards, **CnEL India**

@anirudhat

The make-or-break part of a text-to-SQL MVP isn't the chat UI, it's trust — a wrong number delivered confidently is worse than no answer — so I'd put the effort into the semantic layer and the safety gate rather than a big platform. Concretely: a curated schema description of your sales tables (business names, grain, joins, metric definitions) stored in Postgres and injected as context, so the LLM works from a small, correct picture instead of a raw schema dump. Generated SQL passes through a validator before execution — parsed with sqlglot to confirm it's a single SELECT, tables checked against a whitelist, row limit enforced — then runs over a read-only SQL Server login with its own permissions, so a bad generation cannot write or scan the whole database. Results come back as a table plus a chart chosen by result shape, with the SQL always visible so users can sanity-check it, and every query logged for history. The data-source connector is an interface from day one so Postgres, MySQL or Snowflake slot in later without touching the core. I don't publish a portfolio — I'd rather prove it on your project, so I'm happy to build the SQL-generation-and-validation loop against a sample schema first so you can judge the quality before committing further. I can start immediately.

@nikhilgarg96

Hello Greetings, After reviewing your project description, I feel confident and excited to work on this project for you. But I have some crucial questions to clarify. Please leave a message in the chat so we can discuss this, and I can share my recent work similar to your requirements. Thanks for your time! I look forward to hearing from you soon. Best Regards.

@w6d

Hi, I have read your entire project requirements. I will provide you with a AI SaaS MVP within your budget. I have 12+ years of experience and have completed 150+ design and development projects. I am very interested in this job opportunity. I am available to start immediately and can deliver high-quality work within your timeline. Please join the chat so we can discuss further and get started right away.

@dvcontact

Hello Sir, Would you like to see a demo of the MVP solution tailored to your specifications, without any commitment? I specialize in developing lean, high-quality AI-driven SaaS products, and I'm confident in delivering an intuitive interface that empowers users to extract insights from their sales data effortlessly. Let's discuss how I can bring your vision to life through a detailed plan and demo, ensuring a robust MVP that prioritizes clean code and scalability. Regards, Smith

@melikatfz

Hi there. Is the initial database setup using Microsoft SQL Server already accessible for remote connection testing? Would you prefer to review the semantic mapping approach before writing the query generation logic? This chat interface for sales data analytics sounds genuinely practical. Bridging natural language to safe SQL queries requires careful schema context management to prevent hallucinations. Limiting the initial schema scope will keep the database queries reliable and accurate. Previous examples can be sent over in the chat. Since the budget is fixed, project costs and delivery timelines are best aligned once we map out the specific core views together. Drop a quick message whenever you are ready to review the architecture notes.

@CodeAnchors

Greetings, I understand the need for a lean MVP of a B2B SaaS product utilizing AI and business data, allowing natural language queries for sales insights. My approach involves structured requirements confirmation, controlled planning, clean implementation, testing checkpoints, and milestone-based transparency. With a solid background in JavaScript, Python, and Software Architecture, I ensure reliable execution and long-term results. You can view my portfolio here: ⭐⭐ https://www.freelancer.com/u/CodeAnchors ⭐⭐ To align with your business goals, could you clarify the top priority for this MVP? Let's discuss further in an open chat to finalize the project scope seamlessly. Best regards, Muhammad Anas Khan

@marjanahmed13

Hi! My name is Marjan and I'm here to offer you my services as a skilled applicant with over a decade of experience working on Freelancer.com. I believe I am the best fit candidate for this project due to my extensive experience; I would like to have a discussion to get to know that we both are on the same page. Once the scope will be locked, I will start working on it right away.

@dataspro

Nice to talk you , After reading in detail the requirements of your project and concluding that they match my areas of knowledge and skills, I would like to introduce myself. My name is Anthony Muñoz and I am the lead engineer for DS Pro IT agency. I have worked for over 10 years in Backend and software development and have successfully done multiple jobs. It will be a pleasure to work together to make your project a reality. Please feel free to contact me. I´m looking forward to working with you. I really appreciate your time and remain attentive to any request or question. Greetings

@AnumFatima210

Hi, I went through your project details and understand what you're looking to achieve. I'd be interested in working with you on this. Based on the requirements you've shared, I can handle the project from start to completion while keeping the work aligned with your expectations, timeline, and desired outcome. My approach is straightforward: first, I'll make sure the requirements and expected deliverables are clear. Then I'll complete the work in structured stages, share progress along the way, incorporate your feedback, and deliver the final work after everything has been reviewed. Before we begin, I have a couple of questions about your requirements that will help me understand the scope more accurately. Feel free to message me so we can discuss the details and determine the best way to move forward. Best regards, Anum

@amadorjay

Hi there, The hard part is not just building the MVP; it's ensuring that the natural language processing accurately translates user queries into SQL while maintaining security and data integrity. A solid approach would be to implement FastAPI for the backend, allowing for efficient handling of requests and integration with PostgreSQL for metadata management. To keep the architecture extensible, we can ensure modularity in the design, allowing for easy addition of databases and features in the future. Could you clarify if there are any specific security protocols or compliance standards you want to implement for database connectivity? Thank you.

@mikes126

The core flow I’d build is: User question → semantic field mapping → LLM-generated SQL → SQL safety validation → read-only execution → result interpretation → table/chart response → query history Key implementation points: Authentication and basic SaaS/user structure Natural-language chat with conversation/query history Semantic mapping for sales fields, metrics and business terminology LLM prompt/context layer for reliable text-to-SQL SQL allowlisting/validation to block INSERT/UPDATE/DELETE/DDL and unsafe queries Parameterized/read-only SQL Server access with restricted database credentials Query timeout, row limits and execution safeguards Result interpretation with concise business insights Simple charts generated from returned data PostgreSQL for users, configuration, mappings and history Clean separation between the SQL Server connector and future data-source connectors Setup/deployment documentation and client-owned Git repository I would not introduce microservices, Kubernetes or an oversized enterprise architecture for this MVP. The goal should be a solid vertical slice that proves the product works and can later grow without rebuilding the foundation.

@obademio1

Hello, I have over 10 years of experience in JavaScript, Python, and Full Stack Development. I have successfully completed projects involving AI integration, database management, and SaaS product development. I understand your requirement for building a lean MVP of a B2B SaaS product using AI and business data. I will ensure the application allows business users to ask questions about their sales data in natural language and receive answers, insights, and simple charts. Let's start a chat to discuss your project further and how I can provide a professional solution tailored to your needs. Best regards, Olusoji

@abela399

Hi, The core challenge in an AI analytics SaaS is making natural-language queries useful without allowing unsafe or unreliable database access. The MVP should focus on a controlled path between user questions, semantic business definitions, generated SQL, and validated results. I have experience building full-stack applications, backend APIs, AI integrations, and data-driven workflows where reliability and maintainable architecture are important. For this product, the main constraint is keeping the first version lean while creating clear boundaries for future data sources and SaaS features. How is the customer sales data currently structured in SQL Server, and do you already have defined business metrics that the AI should understand? Kind regards, Abel.

@jtolbert0175

Hi js, FastAPI, SQL Server, and LLM integration for sales data AI queries. The main technical issue is securely translating natural language to SQL, managed by using OpenAI's GPT models with API for input validation. js and FastAPI that used an LLM for interpreting user queries, which improved user interaction. It's smart to start with a high-quality MVP; it’s a solid strategy to test your concept with lower risk. I have the skills to develop this crucial product for you. I can guide you through my proposed solutions, detailing how they'll support your objectives. Let’s dive into the specifics and move your project forward. Thanks, Jonathan

@Ayesham836

Hi I can build the lean AI-powered analytics MVP you described, focusing on the core workflow without unnecessary enterprise complexity. Your flow is clear: natural-language question → safe SQL generation → read-only SQL Server query → results/insights → simple charts, with PostgreSQL for SaaS configuration and query history. My relevant work includes an AI RAG document assistant built with Python, embeddings, vector search and Streamlit, along with Python business workflow automation for data processing and automated reporting. These projects involved turning user input and business data into useful, structured results through practical AI workflows. For your MVP, I can work on: • Python/FastAPI backend • PostgreSQL configuration and query history • Secure read-only SQL Server connectivity • Semantic mapping of sales fields • LLM-based natural-language-to-SQL • SQL safety validation before execution • Result interpretation and simple charts • Authentication and focused chat UI • Git repository and deployment documentation I understand this is a bootstrapped MVP, so I’ll keep the implementation practical, clean and extensible rather than overengineering it. One important point to clarify is how many sales tables/schemas need to be supported initially, as this will affect the semantic mapping approach. I’d be happy to discuss the MVP scope and implementation with you.

@mikhailj89

Hi, I’m Mikhail. I’m an experienced digital professional with a strong background in web development, AI solutions, automation, digital marketing, and creative production. I’ve reviewed your project, and I understand that you’re looking for someone who can deliver high-quality work while also understanding the bigger business goal behind it. My experience includes developing a SaaS product where I integrated natural language processing with a PostgreSQL backend, enabling users to query sales data seamlessly. I implemented authentication, a chat interface, and ensured secure database connectivity. My approach is simple: I focus on understanding exactly what you need, creating a practical solution, and delivering professional results on time. I’m comfortable working independently, communicating clearly throughout the project, and making revisions based on your feedback. I’m not just looking to complete a task—I want to ensure the final result provides real value. I’d be happy to discuss your requirements, show you relevant examples of my work, and explain how I would approach your project.

@joeyb05

Not happy with the final result? Don’t pay. Your satisfaction comes first. I recently helped a client develop an AI-driven SaaS product that allowed users to query their sales data in natural language. I implemented the FastAPI backend, integrating a PostgreSQL database for metadata and ensuring secure access to SQL Server data. The project included user authentication, a chat interface, and AI-generated SQL queries with safety validations. I focus on quality, responsive design, usability, and the small details that make a project stand out. I'm committed to clean code, thorough documentation, and maintaining security while ensuring you own the source code. I’m happy to make adjustments until you’re completely satisfied. Send me a message and let’s discuss your project. Regards, Joey

@BesterDevenier

This project is a great match for my experience, and I’d be happy to put my skills to work and help bring your vision to life. I have extensive experience working on a wide range of projects for clients. I’m confident in my ability to understand what a client needs, deliver high-quality work, and communicate clearly throughout the project. I recently developed a SaaS application that utilized FastAPI for the backend and integrated natural language processing to convert user queries into SQL. My approach would focus on building a clean, extensible MVP with secure SQL Server connectivity and a simple chat interface, ensuring a solid foundation for future enhancements. I would love to chat more about your project! Regards, Bester Devenier