Hi, I'm Deepanshu, and I built BizMind — a multi-tenant Text-to-SQL SaaS that lets anyone manage and perform full CRUD operations on a database just by typing in plain English, with zero SQL or spreadsheet formulas required.
A user can sign in onto my website, then upload a excel /csv file OR start from scratch and order the agent to make a table for him and it will make it using sqllite (for now).
What you can do:
1)Bulk Ingestion: Upload an entire spreadsheet/CSV (tested with 16,000+ rows, worked fine).
2)Natural Language Queries: Ask things like "show me all nintendo games where global sales are above 10 million" and get a clean table back.
3)Full CRUD: Add, update, and delete records just by describing what you want.
4)Data Isolation: Every user gets their own completely isolated database.
The Tech Stack & Architecture: The key part is that there is no OpenAI or any paid API behind this. It is running Qwen 2.5 locally via Ollama.
-The whole agentic loop is built using LangChain and LangGraph, with FastAPI handling the backend. I started this as a simple local agent that could talk to a SQL database, then turned it into a proper multi-user SaaS product with JWT auth, per-user database isolation, bulk data import, and a natural language query engine.
Hardware & Constraints: It's not perfect — running a smaller model means complex multi-table queries can sometimes miss. That can easily be solved by swapping in a larger model on higher-tier hardware, but since I only had 4 GB of VRAM on my laptop GPU, I optimized the architecture to run locally on that constraint.
The core idea works, and real data goes in and comes out correctly.
Practical Applications: Beyond managing spreadsheets, the underlying architecture can be deployed as an interactive chatbot — for example, on an airline website where an authenticated user can log in, ask about booked flights, request cancellations, or modify bookings in plain English.
Looking for Advice / Feedback: I'm a Master's graduate based in New Delhi with a background in Python, NumPy, Pandas, FastAPI, and machine learning workflows.
-I want to take this forward and would love advice from freelancers, founders, and experienced devs here:
Monetization / B2B Target: What niche or industries would benefit most from an on-premise / 100% local data assistant where zero data touches third-party cloud APIs? maybe a local kirana store who just wants to use a database but dont want to learn anything or hire someone to do it ?
Freelancing: If you freelance in the AI/automation space and make similar products, how do you typically package and pitch custom local LLM/agent pipelines to businesses where do we find people who may have use of my product ? Would appreciate any feedback on turning this kind of tech stack into freelance client work!
OR if there is someone who has an opportunity for me where my skills are needed do contact me at [molasideepanshu@gmail.com](mailto:molasideepanshu@gmail.com) .
