SharkByte 2025

HardLaunch runs an agentic workflow that converts ideas into an actionable strategy. A conversational intake captures the problem, audience, solution, moat, and constraints, while a context manager maintains a live summary of the venture that persists across interactions. Specialized planning, finance, and market agents then generate focused analyses and recommendations. A retrieval-augmented generation layer draws from uploaded research to surface evidence and citations. All results are displayed in a navigable founder dashboard, where you can refine your strategy, inspect sources, and seamlessly hand off tasks to the appropriate agent.

The system is implemented with Google’s ADK agent framework, using Gemini 2.5 Flash for reasoning and models/embedding-001 for vector search. Documents are stored in a LlamaIndex vector database persisted under src/data/persist, with Whisper/YouTube ingestion hooks to handle rich media. A FastAPI backend exposes an /api/chat endpoint for the UI, and the ADK session service shares state, so onboarding, context management, and tool calls remain synchronized.

Site is live at https://bomoga.github.io/Hardlaunch/

Adrian Morton - Backend/ML/AI Engineer

Khanh Truong - Backend/ML/AI Engineer