Here's the deck we used for our Series-A round. We raised $26M led by Benchmark, 2 months after our Seed round with Accel. Even though we didn't necessarily show the appendix slides, we sent them along with the rest of the deck. See https://airbyte.io

2. Data is huge
and growing,
with COSS
omnipresent
in data
infrastructures

3. Only 2% of connectors are prebuilt
They only support 150 connectors (over 10k+ potential ones),
and won’t be able to cover the long tail because of
maintenance costs and ROI consideration.
No adaptability to custom use cases
Closed-source prevents their customers from having any
kind of control on the connectors, and to adapt any
pre-built connectors to their specific needs.
Counter-productive pricing model based
on volume
Charging on active rows is not aligned with the value
proposition to replace data engineers, whose budget is not
indexed on volume of data.
3rd-party liability with data security &
privacy
Companies cannot afford to have their sensitive customer data
through cloud-based services without a strong privacy
compliance process.
Closed-source limitations Cloud-based limitations
Limitations of existing solutions

4. On our way to address the long tail
Within only 8 months, Airbyte started supporting 60 connectors.
Airbyte’s goal for 2021 is 200 connectors, and 1,000 in 2022.
Extensible to address your exact needs
You can build or edit any pre-built connectors to your specific
needs. Airbyte’s decoupled modules also integrate with your
data stack (DBT, Kubernetes, Airflow)
Frictionless adoption experience
No need for any approval from security teams or management,
before a contributor can start replicating data.
Data security as a first-class citizen
Self-hosted means Airbyte never has access to your data.
The Airbyte difference
More value-based pricing

5. An easy-to-use UI to start replicating data
in minutes
Airbyte empowers analysts / scientists to replicate data
without help from data engineers.
Designed to handle 100% of your pipeline
maintenance and setup
Scheduled
incremental updates
Real-time monitoring
with logs
Manual full refresh
Debugging autonomy
Full control over the
data to replicate
Optional normalization
+ DBT integration
Empower your data teams

6. Integration with your stack
Airbyte’s integration with DBT, Kubernetes, and Airflow
enables your data engineering team to build their ideal
data architecture.
An API for programmatic cases
Want to use Airbyte’s connectors from within your workflow or
product? Airbyte offers an API for that.
Some use cases:
- Marketing intelligence platform
Offer their customers all of Airbyte’s marketing-related
connectors from within their platform, without having to build
and maintain them.
- Data Team as a Service for DTC Brands
Enable their customers to connect all their e-commerce tools in
order to get all their customers’ data to provide data analytics
service.
Solve data integration in your infra

7. The team that built LiveRamp
John Lafleur
COO
Serial entrepreneur
(3 startups, 2 exits).
Jared Rhizor
Lead engineer
Technical lead
at LiveRamp
Shrif Nada
Lead engineer
Technical lead
at LiveRamp
Michel Tricot
CEO
Head of integration
at LiveRamp & rideOS
Charles G.
Lead engineer
Technical lead
at LiveRamp & rideOS
Chris Duong
Lead engineer
Head of data
at Comet
Subodh A.
Senior eng.
1st Fivetran eng. in India
Abhi V.
Senior Dev Adv.
Dev rel at Planetscale
Liren Tu
Senior eng.
Lead at LiveRamp
Mason W.
Senior eng.
Senior dev. at Impartner
Davin Chia
Lead engineer
Lead at LiveRamp
~12
contractors
For frontend &
connectors

8. What we built until now
Q4 2020
YC W20
Founded on
01/01/20
Pivot to
Airbyte
MVP Soft
Launch
3 sources
3 destinations
Only in full refresh
01/20: Before pivot
$5.2M
Seed
350 GitHub stars
158 activated instances
N prod instances
30 PR + Issue contributors
110 Slack WAU
39 sources + 6 destinations
Alpha K8 integration
Incremental Append
Team: 6 people + 3 contractors
Q1 2021
Aug 2020 Sep 2020
2.2k GitHub stars
1,200+ activated instances
20xN prod instances
150 PR + Issue contributors
380 Slack WAU
53 sources + 7 destinations
Airflow & DBT integration
Increm.deduped + Log replication
Team: 11 people + 12 contractors

9. Companies syncing data with Airbyte
Prod users
Users having synced data
Company name
Company name
Company name
Company name
Company name
Company name
Company name
Company name
Company name

10. Cash in bank
(without
revenues)
Team
Product
KPI
Main feature 1
Main feature 2
X connectors
Roadmap
Main feature 1
Main feature 2
X connectors
X engineers
X etc.
KPI 1
KPI 2
KPI 3
Q2 2021 Q3 2021 Q4 2021 Q1 2022 Q2 2021 Q3 2022
X
EOQ
X
EOQ
X
EOQ
X
EOQ
Main feature 1
Main feature 2
X connectors
Main feature 1
Main feature 2
X connectors
X engineers
X etc.
X
EOQ
Main feature 1
Main feature 2
X connectors
KPI 1
KPI 2
KPI 3
KPI 1
KPI 2
KPI 3
KPI 1
KPI 2
KPI 3
KPI 1
KPI 2
KPI 3
X engineers
X etc.
X engineers
X etc.
X engineers
X etc.
X engineers
X etc.
Main feature 1
Main feature 2
X connectors
KPI 1
KPI 2
KPI 3
X
EOQ
Runway Date
(without revenues)

11. Optimize for velocity and become
the standard for EL(T) in adoption
Biggest developer community
around data integration
(ETL & reverse ETL)
Get to $XM ARR before Series-B
with N team members + N
contractors on connectors
$25M
Our ideal Series-A scenario

12. Appendix

13. How Airbyte is unique in OSS

14. Our GitHub Stars
(in comparison to other open-source data integration tools)

15. Weekly Slack active users GitHub contributions
Our growing community
Newsletter subscribers

16. Syncs per week by prod users
The growing usage
Syncs per week per prod user

17. Our prod users
Prod users
Company name
Company name
Company name
Company name
Company name
Company name
Company name
Company name
Company name

18. Our investors
and others from
Accel YC
Investor
Name
Founder of X,
CEO of Y
Investor
Name
Founder of X,
CEO of Y
Investor
Name
Founder of X,
CEO of Y