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Datadog S-1

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21–30 of 101 posts

Re: Datadog S-1

#21
post #8

Seems like more S-1 filings have been making it to the front page of HN. Is that because more people on HN are interested in them, or because there's been a recent uptick in S-1 filings? And if the latter, is there any reason?

> And if the latter, is there any reason?

Recession fears

Re: Datadog S-1

#22
post #8

Seems like more S-1 filings have been making it to the front page of HN. Is that because more people on HN are interested in them, or because there's been a recent uptick in S-1 filings? And if the latter, is there any reason?

Money is cheap, downturn coming — good time to have liquidity event.

Re: Datadog S-1

#23

These are the two juiciest paragraphs for SaaS geeks: > We have a highly efficient go-to-market model, which consists of a self-service tier, a high velocity inside sales team, and an enterprise sales force. As of June 30, 2019, we had approximately 8,800 customers, increasing from approximately 7,700, 5,400 and 3,800 customers as of December 31, 2018, 2017 and 2016, respectively. Approximately 590 of our customers a…

I'm pretty green but I love how they break things out comma-separated like "Z, Y, X from years C, B, A, respectively"

Feels slightly awkward as you have to make the associations in your head(Z to C, Y to B, etc.) but actually gives a way better sense of progress.

Re: Datadog S-1

#24

These are the two juiciest paragraphs for SaaS geeks: > We have a highly efficient go-to-market model, which consists of a self-service tier, a high velocity inside sales team, and an enterprise sales force. As of June 30, 2019, we had approximately 8,800 customers, increasing from approximately 7,700, 5,400 and 3,800 customers as of December 31, 2018, 2017 and 2016, respectively. Approximately 590 of our customers a…

So nice to see an S-1 from a SaaS company with actually solid financials and clear explanations of where the money is going. This is what IPO announcements should look like instead of being packed with hype, hopes, and dreams.

Re: Datadog S-1

#25

These are the two juiciest paragraphs for SaaS geeks: > We have a highly efficient go-to-market model, which consists of a self-service tier, a high velocity inside sales team, and an enterprise sales force. As of June 30, 2019, we had approximately 8,800 customers, increasing from approximately 7,700, 5,400 and 3,800 customers as of December 31, 2018, 2017 and 2016, respectively. Approximately 590 of our customers a…

Efficient indeed - 1,212 employees equates to around $250,000 per employee per year based on their first half 2019 revenue, which I understand is great for SaaS.

Re: Datadog S-1

#27

These are the two juiciest paragraphs for SaaS geeks: > We have a highly efficient go-to-market model, which consists of a self-service tier, a high velocity inside sales team, and an enterprise sales force. As of June 30, 2019, we had approximately 8,800 customers, increasing from approximately 7,700, 5,400 and 3,800 customers as of December 31, 2018, 2017 and 2016, respectively. Approximately 590 of our customers a…

So nice to see an S-1 from a SaaS company with actually solid financials and clear explanations of where the money is going. This is what IPO announcements should look like instead of being packed with hype, hopes, and dreams.

Agreed! For all the hype and noise out there, the combination of SaaS and business value has created some phenomenal companies, both in terms of growth, and in terms of unit economics. And, as a user, I can say Datadog solves a real (and burning) problem for product engineering teams, and, though expensive, is worth every penny.

Re: Datadog S-1

#28
post #8

Seems like more S-1 filings have been making it to the front page of HN. Is that because more people on HN are interested in them, or because there's been a recent uptick in S-1 filings? And if the latter, is there any reason?

A large generation of the non-investing class in the tech sector has been convinced to covet IPOs and consider them as the ultimate form of validation and success.

This non-investing class derives entertainment from seeing the lottery tickets they missed out on.

There are a few other personalities here too, such as a wealthy and now older tech sector that likes to see market trends.

But a drought of IPOs makes this of public interest.

Re: Datadog S-1

#29

These are the two juiciest paragraphs for SaaS geeks: > We have a highly efficient go-to-market model, which consists of a self-service tier, a high velocity inside sales team, and an enterprise sales force. As of June 30, 2019, we had approximately 8,800 customers, increasing from approximately 7,700, 5,400 and 3,800 customers as of December 31, 2018, 2017 and 2016, respectively. Approximately 590 of our customers a…

Wow, this is such a crowded market that I'm really surprised just how much money they are making!

Re: Datadog S-1

#30
Their financials on the surface and the growth look really good. Congrats to the whole DataDog team on this! I used it in my previous job and loved it. I love how quick they were to add support for new things and how easy it was to configure everything.

Since they are a SaaS startup which deals a lot with data and compute, I wanted to see their infra cost. I was looking through the consolidated financials[1] and I didn't find something that referred to infra explicitly. I am guessing "Research and Development" operating expense will cover employee compensation(stock and salary). So, would the infra costs be the one in "General and Administrative"?

[1] https://www.sec.gov/Archives/edgar/data/1561550/000119312519...

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