// 0→1 AI PRODUCT · FINTECH · FOUNDER BUILD
Erestorai
0→1 AI Product · Designed + Built
Erestor is an AI-native market intelligence platform I conceived, designed, and built from 0→1. It combines portfolio context, market signals, news, sentiment, and AI reasoning to help investors understand what is changing around their holdings — and why it matters.
Think Bloomberg meets Ground News, interpreted through AI — designed to surface signal over noise without pretending to predict the future.
BUILT END-TO-END ACROSS
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AI Product Strategy + 0→1
Product definition, feature strategy, roadmapping, rapid validation, and moving ideas from concept into working product.
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Agentic UX + LLM / Context Engineering
Designing AI reasoning, structured context, prompts, system behaviors, recommendations, confidence, and user-facing intelligence.
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AI-Assisted Engineering
Using Cursor + Claude across front-end implementation, application logic, debugging, feature development, iteration, and deployment.
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Data + API Architecture
Connecting financial APIs with Supabase/Postgres, SQL, persistence, user/account data, and application state.
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Design → Build Workflows
Using Figma + MCP workflows to reduce the distance between product design, AI-assisted development, and implementation.
TECH / BUILD STACK
