MDB
We view MDB as exposed to longer-term enterprise shifts toward AI compute, data layers, and agent/automation platforms. Short-term signals are mixed; our current recommendation is buy based on thematic exposure to data infrastructure demand from production LLM systems.
Recent proof-backed thesis calls
One published recommendation (buy) tied to the view that semantic correctness requirements for production LLM systems will increase demand for operational data stores. One prior call marked incorrect in our tracking.
YC Startup School talk: Supabase grew rapidly by offering an open-source, Postgres-based alternative to Firebase/RDS with very fast time-to-value; claims a $500M round and $10B valuation; positions “open source wins the LLM/agent era” and suggests AI agents are becoming core users. Supabase is private, but narrative has read-through to public cloud, database, and devtool vendors.
Current stance
Recommendation: buy. Rationale: beneficiary from enterprise shift to AI/agent infrastructure and the emerging requirement that semantic correctness can outweigh schema validity in production LLM outputs (confidence: 0.42).
- beneficiary via “Semantic correctness > schema validity” becomes a purchasing requirement for production LLM systems from https://rss.arxiv.org/rss/cs.LG (confidence 0.42)
Top authors on this asset
Active and historical ticker theses
Active play: research on the tradeoff between schema validity and semantic correctness in structured outputs for small language models and implications for demand for operational data stores.
Unlock full asset monitoring
Monitor traction of agent/automation platforms and adoption of production LLM workflows that prioritize semantic correctness over strict schema validation; updates will adjust conviction and sizing.