Enterprise AI RAG engine that clones your logical decision-making.
I am selling the complete codebase and IP of Synthetix Legacy, a powerful Artificial Intelligence infrastructure. What is it?It is an AI RAG (Retrieval-Augmented Generation) platform. It allows users to archive their ethical and logical decision-making patterns into a vector database, creating a "Digital Logic Clone". Users can then consult this clone for unbiased, neural-aligned advice on new scenarios using Google Gemini 1.5 Flash. The Tech Stack (100% Production Ready):- Frontend: React Native / Vite with a custom WebGL Cyberpunk ForceGraph.- Backend: Python 3.10, FastAPI, Uvicorn. - Database: Supabase PostgreSQL with pgvector for semantic embeddings.- Auth: Zero-Trust Asymmetric RSA JWT.- Monetization: Stripe Payment Links natively integrated. Why am I selling?I am a Lead Architect. I built this cutting-edge boilerplate to solve the complex problem of logical mapping. The codebase is flawless and deployed (Vercel + Render). I am selling it because I lack the marketing time to find B2B clients. It's the perfect asset for a growth marketer or an agency looking to enter the AI space with a finished product. What's included in the sale:- Complete Source Code (Github)- Vercel & Render hosting setup- Supabase Database Schema- Brand and UI/UX design
Project details
Next step: <p><span style="background-color: rgb(60, 60, 60); color: rgb(208, 208, 208);">The highest ROI opportunity is pivoting this codebase into a B2B SaaS. A sales team could sell this as a "Corporate Memory Engine" to executives. Alternatively, running social media ads for the B2C version can easily generate recurring Stripe lifetime purchases.</span></p>
For sale
Asking price: $15,000 USD
What's included
Source code, All related data, All related design work
I am a Lead Architect and builder. I successfully engineered this complex vector infrastructure, but I don't have the marketing resources to scale its user base. Selling it to focus on my core technical ventures.
Project metrics
Average Monthly Revenue: Pre-revenue
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