When Agents Compete: The Hidden Bottlenecks of Scale | RocketRide × Hotdata Fireside

​One agent is a demo. Fifty agents is a traffic jam.

​As teams go from one agent to many, the agents start competing for the same data, tools, context and compute. Queries pile up, answers drift, costs climb, and things quietly break where nobody is looking. Join two founders for a candid fireside chat on where scale really hurts and how to build agents that hold up when there are lots of them.

​What’s Happening:
🎤 Fireside chat: Joe Maionchi (RocketRide) × Divya Ranganathan (Hotdata)
🔥 Open Q&A: bring the bottleneck that’s been keeping you up at night
🤝 Networking with engineers and founders shipping agents into production

​The questions on the table:

• ​What breaks first when you go from one agent to a hundred?

• ​What happens when many agents hit the same data at once?

• ​How do you give each agent the data it needs without risking production?

• ​Where does the cost of running many agents really come from?

• ​How do you debug a failure that only shows up when agents collide?

​Agenda:
5:00 PM – Doors open and networking
5:30 PM – Fireside chat + audience Q&A
6:15 PM – Open networking
7:00 PM – Doors close

​Who Should Come:

• ​AI engineers moving from one agent to many and running into limits

• ​Data and platform engineers deciding what agents can access, and how

• ​Founders and technical leads planning how their agent systems will scale

​Speakers:
Divya Ranganathan, Co-founder & CEO, Hotdata
Joe Maionchi, Co-founder & COO, RocketRide.

​About the Companies:
RocketRide is the AI meta-harness for companies and professional developers building durable AI applications at production scale.
Hotdata gives applications and AI agents in-memory databases they can create, query and manage through one interface.

​Hosted by RocketRide and Hotdata