TreeHacks 2025 - LogFlowAI's Journey from Concept to Reality
Image credit: Stanford TreeHacksAbstract
At TreeHacks 2025, the team brought LogFlowAI—previously a Y Combinator pitch-challenge winner at HackMIT—to life as a fully functional product. Originally conceived by Dhyey Mavani and Sebastien Brown, the project was developed into a powerful AI-driven proactive DevOps platform in just 16 hours. The system automates log monitoring, predicts system failures, and delivers prescriptive incident reports, marking a paradigm shift from reactive to proactive DevOps. The project garnered significant attention from industry leaders including NVIDIA, Meta, OpenAI, and Tesla, demonstrating its potential to revolutionize system monitoring and maintenance.
Event
Location
Stanford University
450 Serra Mall, Stanford, CA 94305
Project Overview
LogFlowAI transforms traditional DevOps by implementing AI-driven proactive system monitoring and maintenance, developed from concept to MVP in just 16 hours at TreeHacks 2025.
Team Members
- Dhyey Mavani (Amherst College)
- Project Lead & Architecture
- Experience: AI/ML at LinkedIn, Databases at AWS
- Yohan Lee
- Tom Yuan
- Utkan Uygur
Key Achievements
Technical Implementation
- Developed scalable, production-ready prototype in 16 hours
- Implemented neural networks and HDFS trace benchmarks
- Created sub-second streaming pipeline for log processing
- Built Langchain-powered AI orchestration system
- Designed scalable backend with FastAPI and Django
System Features
- Real-time log monitoring from multiple sources:
- Kubernetes clusters
- JSON endpoints
- CSV files
- Predictive analytics using advanced ML models
- Complex LLM computational graph for workflow management
- Low-latency inference and seamless deployment
Technology Stack
Core Technologies
- Python
- PyTorch
- FastAPI
- Django
- LangChain
- OpenAI
- SQLite Cloud
Development & Deployment
- Docker
- GitHub Actions
- NVIDIA Brev
- Scrapybara
- Coveralls.io
AI/ML Components
- Anthropic Claude
- Perplexity
- Custom Neural Networks
Distinguished Interactions
Had the opportunity to meet and receive feedback from industry leaders:
- John Hennessy
- Wojciech Zaremba
- Stephen Jones (Founding Engineer of CUDA)
- DJ Patil
- Ali Partovi
Recognition & Prizes
- Selected from 12,000 applications (top 8%)
- Tesla 48-hour demo drive prize
- Positive feedback from judges representing:
- NVIDIA
- Meta
- OpenAI
- Walmart
- Liquid AI
- Tesla
Future Development
Roadmap
Enhanced Predictions
- Refined ML & Data Mining models
- Improved failure detection precision
Expanded Data Sources
- Additional log format support
- Vector search implementation
- Advanced anomaly detection
Special thanks to Amherst College for sponsoring the trip and to TreeHacks for creating an environment conducive to rapid innovation and development.
