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The deck we used to raise our seed funding

airbyte.io

41–50 of 127 posts

Re: The deck we used to raise our seed funding

#41
post #36

Earlier quoted context omitted.

Nice, thanks! Looks like you are working on growing mind share for the foreseeable future and layering in enterprise-specific features to close big deals. Do you foresee a sales team for this? Or do you think independent devs will self-serve their way into larger orgs? Approaches one and two make sense to me. I'm a bit lost on approach three though.

The Confluent/Kafka or DataBricks / Spark model seems to be working out well (Redhat / Linux?). A bit more on the connectors and capabilities and some observability / governance and AirByte would be a killer application.

We like their model indeed!

Re: The deck we used to raise our seed funding

#43
post #25

Nice deck! And terrific market positioning; in doing my own research of trying to get all organizational data in a single place in an otherwise non-technical organization, I've done demos of Fivetran and a few of your other competitors and your analysis of their weaknesses are spot on. I'll be giving your product a try.

Awesome, thanks! Don't hesitate to join our Slack - https://slack.airbyte.io - (800+ members).

We only have this public Slack workspace for the team, so the whole team is there and is pretty responsive!

Re: The deck we used to raise our seed funding

#44
post #39
post #27

Earlier quoted context omitted.

Sorry about that. Hope your fundraise was still successful. Don't hesitate to reach out to john [at] airbyte.io, if we can help.

It was successful - just painful. And we found really great investors in the end. Will drop you a note!

ok awesome!

Re: The deck we used to raise our seed funding

#47
post #43
post #25

Nice deck! And terrific market positioning; in doing my own research of trying to get all organizational data in a single place in an otherwise non-technical organization, I've done demos of Fivetran and a few of your other competitors and your analysis of their weaknesses are spot on. I'll be giving your product a try.

Awesome, thanks! Don't hesitate to join our Slack - https://slack.airbyte.io - (800+ members). We only have this public Slack workspace for the team, so the whole team is there and is pretty responsive!

You need a graph of Slack channel adoption... lol.

(The Github stars graph made me think of it! Congrats on the funding/product. Looks great!)

Re: The deck we used to raise our seed funding

#48
post #13

Interesting to see the competitive analysis with Fivetran in the article but then see almost identical copies of infographics used between their site and Fivetran's. Airbyte: https://airbyte.io/wp-content/uploads/2021/03/Airbyte-Seed-D... Fivetran: https://images.cms.fivetran.com/mgtdf72hs0mx/6qYtmEEotXqScar...

Shhh the investors don’t know that. > if can’t beat em join em.

Re: The deck we used to raise our seed funding

#49
One thing that’s not clear to me is why is there so much competition and crowding in “data massage” space. There is Snowflake, there are all kinds of ETL tools. The customer lists these startup posts have overlaps. Is it just Marketing departments inside these companies playing around with these tools or the CIOs cycling through the hottest startup on TechCrunch list ?

Re: The deck we used to raise our seed funding

#50

One thing that’s not clear to me is why is there so much competition and crowding in “data massage” space. There is Snowflake, there are all kinds of ETL tools. The customer lists these startup posts have overlaps. Is it just Marketing departments inside these companies playing around with these tools or the CIOs cycling through the hottest startup on TechCrunch list ?

in my experience, most ai projects die before the ai part

people hate hiring data engineering (plumbing people feels like cost), and data eng like tools that work but most are.too niche/happypath-oriented, so even w trifacta etc, a lot of open territory. SW can solve a lot of that, in theory, so everyone wins.

And I agree that until there is an oss winner, the proprietary stuff will keep getting churned through. So ultimately whatever your data platform does (aws, databrick, whatever) or oss you're bringing. A lot of room for vendors to carve out niches b/c of connectors x use cases, until platforms/oss eats them all. VC's will see some ARR and name brands and thus be happy to fund: a lot of gaps any startup can fill. (I am impressed by airbyte for a few non-technical reasons even without having used it, so not a knock on them, so just some clues for the continuing froth in their market.)

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