4 ms·

What is the business model for https://www.taipy.io/ https://www.taipy.io/, https://streamlit.io/ https://streamlit.io/, or https://www.gradio.app/ https://www.

What is the business model for https://www.taipy.io/ https://www.taipy.io/, https://streamlit.io/ https://streamlit.io/, or https://www.gradio.app/ https://www.gradio.app/? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?

d_watt 3y ago
Streamlit, for one, was bought by snowflake for 800m, and they've been adding the ability to deploy streamline apps natively to your snowflake account.
- troelsSteegin 3y ago
  Thank you. So they are or would be complements to somebody elses commercial platform.
  - skadamat 3y ago
    They had essentially 0 revenue though. Nobody paid for streamlit cloud. Snowflake's acquisition of Streamlit was similar to Google Cloud's acquisition of Kaggle. They bought a large community of end-users that spent money on their cloud databases.
cj 3y ago
It's a gold rush right now. Business models don't matter to investors because they want to fund 100 startups with the hope that maybe a couple will hit it big. The goal isn't for all 100 startups to be successful. If these aren't VC funded, maybe just cool side projects and no need for revenue model? Just like during the peak crypto hype, people were doing things that clearly had no obvious business model. Some figured it out, maybe pivoted a few times, and are successful. Most silently disappeared. The AI space is really hard to have a long term business model strategy because the market is evolving insanely fast. Your long term business plan could easily be killed by 1 feature release from OpenAI without notice. Perhaps that's anothe reason people are focussing more on use adoption rather than revenue. The reality is user adoption in AI has WAY more value than revenue growth. You can always monetize later. But first you need users. Most companies prioritize user adoption and worry about revenue later (that's what VCs want from early seed stage AI startups... users are gold, revenue is just a cherry on top). Obviously thats not sustainable. But that's ok... most companies don't fail because they didn't generate enough revenue. They fail most commonly because they couldn't build a product that could attract enough users (which made it impossible to generate revenue). So it kind of makes sense to stress out about user adoption, because if you can't get that, your business model doesn't matter.
skadamat 3y ago
IMO there really isn't one. Nobody has been able to build a business here (yet). Unfortunately the folks who have this problem (data scientists) rarely have budget internally. Ideally these solutions bridge to engineering teams better, who DO have budget and get the best tools. But again they don't have this problem (they can build & deploy web apps)

d_watt 3y ago

Streamlit, for one, was bought by snowflake for 800m, and they've been adding the ability to deploy streamline apps natively to your snowflake account.

troelsSteegin 3y ago
Thank you. So they are or would be complements to somebody elses commercial platform.
- skadamat 3y ago
  They had essentially 0 revenue though. Nobody paid for streamlit cloud. Snowflake's acquisition of Streamlit was similar to Google Cloud's acquisition of Kaggle. They bought a large community of end-users that spent money on their cloud databases.

cj 3y ago

It's a gold rush right now. Business models don't matter to investors because they want to fund 100 startups with the hope that maybe a couple will hit it big. The goal isn't for all 100 startups to be successful. If these aren't VC funded, maybe just cool side projects and no need for revenue model? Just like during the peak crypto hype, people were doing things that clearly had no obvious business model. Some figured it out, maybe pivoted a few times, and are successful. Most silently disappeared. The AI space is really hard to have a long term business model strategy because the market is evolving insanely fast. Your long term business plan could easily be killed by 1 feature release from OpenAI without notice. Perhaps that's anothe reason people are focussing more on use adoption rather than revenue. The reality is user adoption in AI has WAY more value than revenue growth. You can always monetize later. But first you need users. Most companies prioritize user adoption and worry about revenue later (that's what VCs want from early seed stage AI startups... users are gold, revenue is just a cherry on top). Obviously thats not sustainable. But that's ok... most companies don't fail because they didn't generate enough revenue. They fail most commonly because they couldn't build a product that could attract enough users (which made it impossible to generate revenue). So it kind of makes sense to stress out about user adoption, because if you can't get that, your business model doesn't matter.

skadamat 3y ago

IMO there really isn't one. Nobody has been able to build a business here (yet). Unfortunately the folks who have this problem (data scientists) rarely have budget internally. Ideally these solutions bridge to engineering teams better, who DO have budget and get the best tools. But again they don't have this problem (they can build & deploy web apps)