Participated in the TUM.ai Makeathon
I had a great time at the TUM.ai Makeathon 2026 working on the Spherecast (YC S24) challenge.
Our team built Cubecast, a copilot for supply-chain disruption analysis in consumer packaged goods sourcing. It ingests a supplier delay email, extracts the disruption signal with an LLM, links it to supplier and product entities through a cognee knowledge graph and SQLite data, identifies the affected raw material, simulates the disruption, and suggests alternative suppliers and rerouting options.
We placed 6th out of approximately 45 teams in the Spherecast challenge.
Many thanks to TUM.ai for organizing the event, to Spherecast for the challenge, and to my teammates Demyan Kurbatov, Anton Komar, and Vranda Agarwal for an intense and rewarding weekend of building.
