Karan Saini

case studies

Selected full-stack systems built around real product complexity.

Detailed deep-dives into the architecture, user requirements, technical stacks, and database models of each build.

Featured SystemAI Technical Co-Founder Platform

GhostCTO

System Overview

GhostCTO is an AI-powered technical co-founder platform built for non-technical founders. It helps turn startup ideas into structured technical roadmaps, developer-ready specs, stack decisions, quote validation, MVP scopes, hiring plans, and CTO-style guidance before founders spend money on development.

Problem Statement

Most non-technical founders do not know what tech stack to choose, what features are realistic, how much development should cost, or whether a developer or agency quote is fair. GhostCTO gives them technical clarity before they waste money.

Target Demographics

Non-technical foundersSolo foundersStartup foundersCreatorsSmall business ownersEarly-stage startup teamsPeople planning to hire developers or agencies

Core Capabilities

  • Technical Roadmap Generator
  • Developer Quote / Rate Validator
  • Tech Stack Advisor
  • Developer-ready PRD / Spec Generator
  • MVP Scope Planner
  • Hiring / Job Description Generator
  • Developer and agency vetting assistant
  • Code Audit Explanation in Plain English
  • Ongoing CTO-style AI Chat
  • Build Cost and Timeline Estimator

Component Technology Stack

Next.jsTypeScriptReactTailwindCSSNode.jsExpressPostgreSQLPrismaLangChainGemini AIpgvectorRedisBullMQDockerVercelRender
Featured SystemYour Codebase as a 3D Universe

ETHER

System Overview

ETHER converts repository structure and dependency data into a spatial 3D environment. It gives developers a visual way to explore files, inspect modules, trace relationships, and understand architecture without navigating the codebase only as a flat directory tree. It features an interactive WebGL universe, camera flight navigation, shared selection states, and an AI spatial navigator helper.

Problem Statement

Large repositories are difficult to understand through folders and source files alone. Developers often need significant time to identify important modules, trace dependencies, and understand how different parts of a system are connected.

Target Demographics

Software engineersTechnical architectsOpen-source maintainersOnboarding developersEngineering managers

Core Capabilities

  • GitHub repository analysis
  • Interactive 3D codebase galaxy
  • Files represented as selectable stars or nodes
  • Folders represented as constellations
  • Dependency connections between files
  • Click-and-drag galaxy navigation
  • Scroll-wheel and pinch zoom
  • Exact file-node selection
  • File information inspector
  • Searchable repository files
  • Dependency-path visualization
  • Rendering-quality controls
  • AI spatial navigator
  • Responsive explorer interface
  • Demo universe
  • Mobile and desktop interaction support

Component Technology Stack

ReactTypeScriptThree.jsReact Three FiberWebGLNode.jsExpressGitHub APILangChainZustandTailwind CSS
Flagship SystemAI Code Review & Documentation Platform

DevMind AI

System Overview

An AI-powered engineering platform with streaming code reviews, semantic code search, GitHub webhook auto-reviews, LangChain workflows, vector embeddings, background jobs, and GitHub OAuth.

Problem Statement

Developers often spend too much time reviewing code manually, translating complex logic to documentation, and missing hidden performance or security issues in pull requests. DevMind AI automates these processes, bringing AI assistance directly to the Git workflow.

Target Demographics

Software engineersEngineering managersOpen-source maintainersDevOps engineersDevelopment teams seeking auto-reviews

Core Capabilities

  • Streaming Code Reviews
  • Semantic Code Search
  • GitHub Webhook Auto-Reviews
  • LangChain Workflow Orchestrator
  • pgvector-based Code Embeddings
  • Background Processing Queue

Component Technology Stack

ReactNode.jsPostgreSQLPrismaLangChainModel APIspgvectorBullMQRedisGitHub OAuth
Realtime SystemRealtime Collaborative Task Manager

D-Desk

System Overview

A collaborative Kanban task manager built with realtime board updates, JWT authentication, drag-and-drop workflows, REST APIs, PostgreSQL persistence, and Prisma-backed data modeling.

Problem Statement

Team project boards are often slow to sync, leading to double-handling or missed task updates. D-Desk provides instant board synchronization so team members can work concurrently without friction.

Target Demographics

Project managersRemote startup teamsFreelancersAgile product teams

Core Capabilities

  • Instant WebSocket Synchronization
  • Drag-and-Drop Task Transitions
  • Secure JWT Authentication
  • RESTful API Design
  • Relational Data Persistence

Component Technology Stack

ReactNode.jsPostgreSQLSocket.ioPrismaJWTREST API
Workflow PlatformFreelancer Invoicing Platform

InvoiceFlow

System Overview

A freelancer-focused invoicing platform with PDF invoice generation, email delivery, Stripe one-time payments, proposal builder, client management, and revenue dashboard.

Problem Statement

Freelancers lose time manually creating invoices, sending payment reminders, and tracking income across multiple clients. InvoiceFlow automates invoice generation and client payments in one place.

Target Demographics

Freelance developersContractorsConsultantsSmall business owners

Core Capabilities

  • Automated PDF Invoicing
  • Nodemailer Transactional Emails
  • Stripe One-Time Payments
  • Proposal and Quote Builder
  • Earnings Analytics Dashboard

Component Technology Stack

ReactNode.jsPostgreSQLPrismaPuppeteerStripeNodemailer
In DevelopmentAI Render Automation Platform

RenderPilot

RenderPilot

Preview data loading

System Overview

RenderPilot is an in-development render automation platform designed to handle large creative files, render jobs, storage workflows, and production-ready output pipelines. It focuses on simplifying how users upload assets, manage render tasks, track processing status, store outputs, and organize generated files.

Problem Statement

Creative and AI-render workflows often become messy when large files, job queues, storage configuration, and generated outputs are handled manually. RenderPilot is being built to manage that workflow from one dashboard.

Target Demographics

3D Artists & CreatorsVFX StudiosCreative TeamsAI Rendering DevelopersProduction Engineers

Core Capabilities

  • Large file upload workflow
  • Render job queue management
  • Object storage integration
  • Render status tracking
  • Output file management
  • Asset preview system
  • Storage provider configuration

Component Technology Stack

Next.jsTypeScriptReactTailwindCSSNode.jsExpressPostgreSQLPrismaRedisBullMQObject StorageDocker

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