JustBit

AI-powered startup coach that guides founders from idea to launch through structured, research-backed stages

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Inspiration

As a developer, I've seen countless non-technical founders struggle to turn their ideas into reality. Without a clear roadmap, they waste valuable time and resources, often getting stuck in the execution phase. This inspired me to create JustBit: an AI-powered startup coach that provides founders with practical, research-backed guidance at every stage, helping them move efficiently from concept to execution, as if they had an experienced entrepreneur by their side 24/7.

What it does

JustBit is an AI-powered startup coach that guides founders from idea to launch through structured, research-backed stages. It combines:

  • Visual Workflow Management: Interactive canvas where founders map their journey through stages like Problem Research, Market Validation, and Product Building
  • Real-time AI Guidance: GPT-4 powered coach that provides contextual advice, asks the right questions, and keeps founders on track
  • Live Market Research: Integrated search capabilities that pull real-time data from Reddit, Google, and other sources to validate assumptions
  • Collaborative Planning: Team members can work together in real-time, with AI facilitating structured discussions

Instead of learning startup methodology the hard way, founders get a seasoned coach backed by real market data, guiding them through proven stages that successful companies actually use.

How we built it

Frontend (Next.js + React):

  • Built the visual workflow canvas using React Flow for drag-and-drop node management
  • Implemented real-time collaboration with Supabase subscriptions
  • Created an intuitive chat interface for AI interactions
  • Used Tailwind CSS for modern, responsive design

Backend (FastAPI + Python):

  • Developed AI agent system using OpenAI's GPT-4 with custom prompts for each startup stage
  • Integrated web scraping tools for Reddit and Google search functionality
  • Built WebSocket server for real-time AI streaming responses
  • Implemented stage-based conversation management

Database (Supabase + Prisma):

  • PostgreSQL database with Prisma ORM for type-safe database operations
  • Real-time subscriptions for collaborative features
  • Google OAuth integration for seamless authentication

Using Kiro

Kiro's spec-driven approach was crucial in helping me break down the complexities of building an AI-powered backend. Since I had never built AI systems before, Kiro provided essential guidance on structuring the project. It allowed me to focus on writing simple functions first, without getting overwhelmed by business logic. This streamlined approach made it easier to learn the key concepts and focus on the right areas for development.

With Kiro, I was able to design a multi-stage conversation system by planning the conversation flows before writing any code. The AI assistant helped me quickly generate the backend logic, WebSocket setup, and real-time features, without having to dive into complex coding immediately. Kiro’s rapid prototyping allowed me to test and iterate on different workflow ideas without getting stuck in the details. The chat interface was invaluable for resolving design challenges and refining the logic, ultimately helping me learn how to implement tool calls, state management, and other essential AI concepts.

Challenges we ran into

Technical Challenges:

  • Learning Agentic AI: Never built agentic AI applications before - Kiro's AI assistance was essential for helping me build the agent, conversation flows, tool calling, and state management
  • Real-time AI Streaming: Setting up smooth streaming responses from OpenAI while maintaining conversation context was complex - still working on optimizing this

Product Challenges:

  • Balancing Guidance vs. Autonomy: Finding the right balance between AI guidance and letting founders make their own decisions is an ongoing challenge
  • Stage Transitions: Creating smooth transitions between startup stages while maintaining context and momentum needs more iteration

Accomplishments that I'm proud of

  • Built a multi-stage AI coach that can guide founders through complex startup processes
  • Implemented real-time collaborative features with WebSocket streaming
  • Integrated live market research into the coaching workflow
  • Tried Kiro's AI-assisted development, spec-driven, and agent hooks to build a complex workflow

What I learned

Technical Learnings:

  • Building AI agent systems
  • Web scraping Reddit, X
  • Market research

What's next for JustBit

  • Improving the current implementation and optimizing the agent's critical functionalities
  • Support for other platforms' scripting
  • Add more startup stages (Funding, Scaling, Exit Strategy)
  • Implement team collaboration features for larger startup teams
  • Integration with popular tools
  • Analytics dashboard to track the founder's progress
  • AI-powered competitor analysis and market sizing

The goal is to allow non-technical founders to have an easy way of building products that users actually want, through structured stages and real-time data. I aim to democratize startup success by making proven methodologies accessible, actionable, and personalized for every founder, regardless of their background or experience level.

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