This seems like a lot of money? I like Streamlit fine but I don't see $800m of value in it or even its potential.
What am I missing?
On the other hand, definitely encouraging me to go start a side hustle building some ML-tinged BI app on top of Dremio or Fugue or Materialized or Datadog or some other contender for data platform du jour and just hunt down Fortune 500 users to give it away to in exchange for (9 figure!) clout.
We changed the URL above to what seems to be the best third party article (for reasons I was explaining in a different thread earlier: https://news.ycombinator.com/item?id=30531133).
I've been using Streamlit for roughly half a year to build various dashboards and GUIs for custom analysis scripts and I am honestly neither surprised that they were acquired nor by the price tag.
Our data is quite complicated and needs a lot of custom code & filtering. Even relatively simple analytical questions need some custom code, if people don't want to do almost everything manually (i.e.: Origin, Export to Excel, crop and move around data...).
Over the years I built up libraries and functions for some of these tasks and with Streamlit I can just slap a sufficiently nice interactive GUI on top in 1-2 hours and iterate the analysis live during a call (give them the URL and ask what additional filters, visualizations they would need, adapt the code in the background and they see the results instantly).
Overall, congratulations - well earned.
Also, I considered applying for a position there and regret not doing so.
Congrats to the Streamlit team. My every interaction with them has been positive. Add to that the great product and community they’ve built, and you get a company that’s deserving of this outcome.
I'm knee deep in the data tooling space myself and it's quirky at first but not too surprising.
This resembles the Google Cloud acquisition of Kaggle, or Microsoft's acquisition of Github. For better or for worse, these larger players / platforms are buying a large community around the hip tool. Snowflake wants to be a giant data platform company, not just "another data warehouse".
A few months ago I tried building a configuration manager for robusta.dev using streamlit.
Basically I wanted to autogenerate a frontend for arbitrary Pydantic models (in my case configurations of Kubernetes automations). The tooling was still lacking so I abandoned the project, but it was really cool just how far I could get with writing almost no code. A way better experience than all the no code tools IMO
Snowflake is basically GCP BigQuery or AWS Athena, but they charge $40/TB of (highly compressed) storage and have a decent margin on compute too. It's also completely proprietary, so you're not exiting their platform anytime soon. The other big player in this space is DataBricks, which is a reasonable product, but their pricing is based on both instance type and volume of data consumed by a query, which can get pretty insane quickly when dealing with large amounts. Again, they rely on lock-in to a significant extent.
They are doubling revenue every X months (currently about 12). And it's a big market and getting bigger, so they might be able to keep X pretty low for a pretty long time. They are adding customers + adding revenue at existing customers. Double revenue every 12 months and you get to 32x in 5 years. And it's pretty sticky.
[+] [-] kthejoker2|4 years ago|reply
What am I missing?
On the other hand, definitely encouraging me to go start a side hustle building some ML-tinged BI app on top of Dremio or Fugue or Materialized or Datadog or some other contender for data platform du jour and just hunt down Fortune 500 users to give it away to in exchange for (9 figure!) clout.
[+] [-] g8oz|4 years ago|reply
https://medium.datadriveninvestor.com/streamlit-vs-dash-vs-v...
[+] [-] crsv|4 years ago|reply
[+] [-] blitzar|4 years ago|reply
Probably worth ~100mil (idk?) - however, probably adds a billion to snowflakes market cap, hence the pricetag.
[+] [-] foxhop|4 years ago|reply
[+] [-] dang|4 years ago|reply
https://investors.snowflake.com/news/news-details/2022/Snowf...
We changed the URL above to what seems to be the best third party article (for reasons I was explaining in a different thread earlier: https://news.ycombinator.com/item?id=30531133).
[+] [-] oerpli|4 years ago|reply
Our data is quite complicated and needs a lot of custom code & filtering. Even relatively simple analytical questions need some custom code, if people don't want to do almost everything manually (i.e.: Origin, Export to Excel, crop and move around data...).
Over the years I built up libraries and functions for some of these tasks and with Streamlit I can just slap a sufficiently nice interactive GUI on top in 1-2 hours and iterate the analysis live during a call (give them the URL and ask what additional filters, visualizations they would need, adapt the code in the background and they see the results instantly).
Overall, congratulations - well earned. Also, I considered applying for a position there and regret not doing so.
[+] [-] gk1|4 years ago|reply
[+] [-] notacanofsoda|4 years ago|reply
[+] [-] skadamat|4 years ago|reply
This resembles the Google Cloud acquisition of Kaggle, or Microsoft's acquisition of Github. For better or for worse, these larger players / platforms are buying a large community around the hip tool. Snowflake wants to be a giant data platform company, not just "another data warehouse".
[+] [-] duncan-donuts|4 years ago|reply
[+] [-] thenanyu|4 years ago|reply
[+] [-] talltofu|4 years ago|reply
[+] [-] nyellin|4 years ago|reply
A few months ago I tried building a configuration manager for robusta.dev using streamlit.
Basically I wanted to autogenerate a frontend for arbitrary Pydantic models (in my case configurations of Kubernetes automations). The tooling was still lacking so I abandoned the project, but it was really cool just how far I could get with writing almost no code. A way better experience than all the no code tools IMO
[+] [-] domunabhai|4 years ago|reply
[+] [-] thegranderson|4 years ago|reply
[+] [-] trhway|4 years ago|reply
[+] [-] ahungry|4 years ago|reply
[+] [-] lumost|4 years ago|reply
[+] [-] ZeroCool2u|4 years ago|reply
[+] [-] ta988|4 years ago|reply
[+] [-] danielmarkbruce|4 years ago|reply
[+] [-] talltofu|4 years ago|reply
[+] [-] teruakohatu|4 years ago|reply
[+] [-] vietvu|4 years ago|reply
[+] [-] rovr138|4 years ago|reply
They look similar from the preview.
[+] [-] juancampa|4 years ago|reply
[+] [-] gotmedium|4 years ago|reply
[+] [-] xiaodai|4 years ago|reply