公式動画ピックアップ
AAPL
ADBE
ADSK
AIG
AMGN
AMZN
BABA
BAC
BL
BOX
C
CHGG
CLDR
COKE
COUP
CRM
CROX
DDOG
DELL
DIS
DOCU
DOMO
ESTC
F
FIVN
GILD
GRUB
GS
GSK
H
HD
HON
HPE
HSBC
IBM
INST
INTC
INTU
IRBT
JCOM
JNJ
JPM
LLY
LMT
M
MA
MCD
MDB
MGM
MMM
MSFT
MSI
NCR
NEM
NEWR
NFLX
NKE
NOW
NTNX
NVDA
NYT
OKTA
ORCL
PD
PG
PLAN
PS
RHT
RNG
SAP
SBUX
SHOP
SMAR
SPLK
SQ
TDOC
TEAM
TSLA
TWOU
TWTR
TXN
UA
UAL
UL
UTX
V
VEEV
VZ
WDAY
WFC
WK
WMT
WORK
YELP
ZEN
ZM
ZS
ZUO
公式動画＆関連する動画 [Behind the Content Strategy for Billion-dollar Brands, powered by MongoDB (Imagine AI)]
Subscribe to the MongoDB for Developers YouTube Channel: https://www.youtube.com/@MongoDBDevelopers?sub_confirmation=1
Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register
Subscribe to MongoDB YouTube→ https://mdb.link/subscribe
Discover how founders Sky and Neo transitioned from Y Combinator to scaling B2B growth infrastructure by rethinking go-to-market strategies from first principles. Learn how their startup leverages generative AI, semantic indexing, and complex relationship graphs to help companies cut through social media noise and reach target audiences.
This conversation explores the technical transition to MongoDB's document model, highlighting how eliminating schema migrations accelerated product iteration, simplified data aggregation, and unlocked scalable performance for nested relationship data.
Key highlights include:
- Building modern B2B growth engines using micro-influencer distribution models
- Moving from simple AI content automation to multi-layered relationship graphs
- Technical advantages of MongoDB for aggregating complex people data without schema maintenance.
- Navigating market saturation in the gen AI space
- Essential founder advice on product-market fit and technology flywheels
Video Chapters
00:00 Introduction and Founder Backgrounds
00:33 Micro-Influencer Distribution and Go-To-Market Strategy
01:44 First-Principles Thinking in B2B Growth Infrastructure
02:32 Evolving Beyond Automated LinkedIn Content
03:12 Scaling Data Architecture: Switching to MongoDB
04:01 Eliminating Schema Migrations for Faster Engineering
04:38 Relationship Graphs and Fast Semantic Indexing With AI
05:38 Re-Engineering Enterprise Workflows From Scratch
06:19 Filtering Noise and Finding Signal in the Gen AI Era
07:30 Startup Lessons: Validating Demand and Tooling Flywheels
Visit Mongodb.com → https://mdb.link/MongoDB
Read the MongoDB Blog → https://mdb.link/Blog
Read the Developer Blog → https://mdb.link/developerblog
MongoDB for Developers YouTube Channel → https://www.youtube.com/@MongoDBDevelopers
56
2