AI Growth Intelligence
ReadyLead
AI growth intelligence platform that transforms fragmented public signals into prioritized commercial opportunities.
2nd Place — YC AI Growth Hackathon
Nagisa Ikeda is an AI design engineer building ambitious agentic products.
AI Design Engineer @ FedEx Dataworks
Founder @ Nara Labs
2nd Place — YC AI Growth Hackathon
2nd Place — YC AI Growth Hackathon · Shipped ReadyLead · Built ProbeIQ · Built Local PM OS · Shipped Ahead iOS · Building Ahead Agent
Enterprise Product Design → AI Product Design → AI Systems → Design Engineering → Founder
Agent session
›Design a growth intelligence agent that identifies high-value leads and turns fragmented buyer signals into prioritized action.
◆I'll map the lead-scoring workflow, enrichment layer, decision logic, and outreach handoff.
readylead/agent.ts+142
growth/signals.ts+88
Currently Building
AI systems for growth, decision-making, and product workflows.
I prototype AI-native products across agents, memory, retrieval, local workflows, and decision systems — moving quickly from problem framing to working software.
- Agents
- RAG
- Memory
- AI Workflows
- Decision Systems
- Local AI
- Next.js
- Python
- OpenAI
- FastAPI
Featured
Featured AI Products
AI-native products, systems, and design engineering — from agentic workflows to the infrastructure that powers them.
Personal AI
Ahead Agent
A next-generation memory-driven financial decision agent built using modern LLM workflows.
Enterprise AI
FedEx AI Concierge
Exploring AI-native workflows for enterprise customer support and operations.
FedEx AI Concierge
Agents
- ✓ Context
- ✓ Routing
- ○ Onboarding
Map handoff states…
agents/flow.ts +96
Product Design
Selected Product Design
Selected product experiences across fintech, healthcare, enterprise platforms, and consumer applications.
Shipping
Build log
I build continuously — products, agents, and systems.
2026
- 2nd Place — YC AI Growth Hackathon
- Shipped ReadyLead
- Built ProbeIQ
- Built Local PM OS
- Shipped Ahead iOS
- Building Ahead Agent
- Kaggle Agentic Engineering
Capabilities
Building AI-native productsfrom strategy to production.
Product
Designing AI-native experiences from product strategy through interaction design.
- Product Strategy
- AI UX
- Systems Design
- Design Systems
AI Systems
Designing intelligent workflows with agents, retrieval, memory, and reasoning.
- Agents
- RAG
- Memory
- Model Context Protocol (MCP)
- Evals
- Prompt Engineering
Engineering
Building production-ready prototypes with modern web technologies.
- TypeScript
- Next.js
- React
- Python
- FastAPI
- REST APIs
- Vercel
Shipping
Moving quickly from idea to working software through rapid iteration.
- Rapid Prototyping
- 0→1 Products
- Hackathons
- Customer Discovery
- Product Thinking
AI Stack
Models
- OpenAI
- Claude
- Gemini
- Qwen
- MiniMax
- DeepSeek
Engineering
- TypeScript
- React
- Next.js
- Python
- FastAPI
- Convex
- Vercel
AI Systems
- Agents
- MCP
- RAG
- Memory
- Vector Databases
- Vapi
- LiveKit
- Evals
Workflow
- Cursor
- Claude Code
- GitHub
- Figma