Most session replay tools let you watch what users did—but who has time for that? I built Providence, an AI-powered session replay system that analyzes and summarizes user behavior automatically instead of just recording it.
Real-time event processing (clicks, scrolls, network requests)
AI-generated summaries so you don’t have to watch full replays
Detects patterns like rage clicks, dead clicks, and frustration loops
Vector search (Qdrant) to find similar sessions instantly
Currently migrating to AWS for scalability & cost efficiency. Would love feedback from anyone working with AI, large-scale event processing, or session analytics!
Location: NYC, New York
Remote: Yes
Willing to relocate: No
Technologies: Backend: Node.js, Express.js, Python, Postgres, NoSQL, Redis, Qdrant, REST APIs Frontend: JavaScript, Typescript, React, jQuery, Handlebars, HTML, CSS, Vue.js AI/LLM: RAG, embeddings, Prompt Engineering, Hugging Face, OpenAI APIs, LangChain Cloud: AWS (ECS, EC2, ELB, VPC, CloudFormation, IAM), Digital Ocean, Azure, PaaS
Résumé/CV: https://chadgratts.com/resume.pdf
Email: garrettgratts21@gmail.com