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cj desai

T2 · manager / operator

CJ Desai became CEO of MongoDB in November 2024 after a career in product and engineering at Oracle, Symantec (under John Thompson), and ServiceNow (under Fred Luddy). He emphasizes customer-driven innovation, meeting 10-12 customers weekly, and positioning MongoDB as the operational data layer for AI agents.

8 calls·8 names·50% bull·last heard 22 days ago·Sourcery VC
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1sthigh conviction
$MDBMongoDBposition

MongoDB CEO sees three AI customer waves driving foundational data layer demand

MongoDB's scale-out document architecture, multicloud/on-prem flexibility, and vector search position it as the operational data layer for frontier labs, AI-native startups, and enterprises building agentic applications.

Sourcery VC2026-07→
2ndhigh conviction
$ELEVENLABSElevenLabs

ElevenLabs runs 50M+ AI agents on MongoDB, validating architecture for agentic workloads

ElevenLabs' scale — over 50 million agents running on MongoDB — demonstrates the database's ability to handle massive agentic workloads with unstructured data, vector search, and real-time requirements.

Sourcery VC2026-07→
3rdmedium conviction
$SNOWSnowflake

MongoDB CEO differentiates: Snowflake is analytical OLAP, MongoDB is real-time OLTP

Snowflake serves analytical workloads (OLAP) for business analysts, while MongoDB serves real-time operational workloads (OLTP) like credit card transactions and AI agent memory — distinct categories with different latency requirements.

Sourcery VC2026-07→

most discussed · click a bar to filter

recurring themes

8 total
$ELEVENLABS
ElevenLabs
HIGHcj desai·Sourcery VC·22 days ago
ElevenLabs runs 50M+ AI agents on MongoDB, validating architecture for agentic workloads
ElevenLabs' scale — over 50 million agents running on MongoDB — demonstrates the database's ability to handle massive agentic workloads with unstructured data, vector search, and real-time requirements.
"when we look at the 11 lab story, they have north of 50 million agents depending on when you look at it all running on MongoDB. Data is the unsung hero and data is that... And the…"
14:27
$SNOW
···
Snowflake
MEDcj desai·Sourcery VC·22 days ago
MongoDB CEO differentiates: Snowflake is analytical OLAP, MongoDB is real-time OLTP
Snowflake serves analytical workloads (OLAP) for business analysts, while MongoDB serves real-time operational workloads (OLTP) like credit card transactions and AI agent memory — distinct categories with different latency requirements.
"MongoDB is a operational database or a real-time database. So credit card transactions or anything real time, that's what we do. The category is called online transaction processi…"
11:19
$DATABRICKS
Databricks
MEDcj desai·Sourcery VC·22 days ago
MongoDB CEO groups Databricks with Snowflake as analytical layer, not operational
Databricks, like Snowflake, targets analytical processing (OLAP) rather than the real-time operational data layer (OLTP) where MongoDB competes for AI agent workloads.
"If you want analytical data layer where you can ask a question a business analyst internally will ask a question for those kind of use cases you use those other companies database…"
11:19
$SPCX
···
SpaceX
LOWcj desai·Sourcery VC·22 days ago
MongoDB CEO: Space-based data centers physically possible, not bearish on concept
Physics-wise, orbital data centers with continuous solar power could solve AI's energy constraint; SpaceX already building ground data centers for Anthropic and exploring space-based capacity.
"physics- wise, at least from what I have read, it seems like it is there is a nonzero chance of it succeeding, meaning it will succeed once you put enough uh um attention, resourc…"
34:40
$ORCL
···
Oracle
MEDcj desai·Sourcery VC·22 days ago
MongoDB CEO contrasts modern autoscale with Oracle's expensive DBA model
AI-native companies refuse to hire expensive Oracle-style DBAs; they demand databases that self-manage and autoscale via software, creating a structural shift away from legacy operational models.
"in database world when I was at Oracle, the most expensive person you can get is called Oracle DBA, database administrator. And they were the most expensive people that you have t…"
27:28
$PLTR
···
Palantir
MEDcj desai·Sourcery VC·22 days ago
Hyperscalers adopting Palantir's forward-deployed engineer playbook for AI customers
Major cloud providers are copying Palantir's model of embedding engineers directly with customers to help them navigate complex AI infrastructure deployments, signaling enterprise AI adoption complexity.
"lot of announcements from hyperscalers on forward deployed engineers they are using Palunteer's uh playbook uh from my perspective right and the reason is because customers ers ar…"
20:54
$MDB
···
MongoDB
HIGHcj desai·Sourcery VC·22 days ago· position
MongoDB CEO sees three AI customer waves driving foundational data layer demand
MongoDB's scale-out document architecture, multicloud/on-prem flexibility, and vector search position it as the operational data layer for frontier labs, AI-native startups, and enterprises building agentic applications.
"MongoDB stands for humongous, which most people don't know. So humongous database that as you scale, you should feel comfortable as an AI company that you can scale with MongoDB..…"
3:59
$COGNITION
Cognition
MEDcj desai·Sourcery VC·22 days ago
Cognition's Devon agent first task was spinning up MongoDB, signaling developer preference
The fact that Cognition's AI software engineer Devon chose MongoDB as its first database setup task indicates strong developer ergonomics and default preference in AI-native tooling.
"Scott was one of the first interviews that we did. And it was funny because we were talking about Devon and the comeback of Devon. And the first task that Devon did was spin up Mo…"
1:46