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Daniel Dines Cliff Weitzman
+4 more
David Heinemeier Hansson Jerry Murdock Philip Inghelbrecht Reed Robinson

Fireworks AI

Software

4 creators

Open-source model inference and deployment for enterprise AI workloads; potential on-prem deployment for European customers

"I'm a big fan of Fireworks and we are using them quite a bit. Yes, we like them a lot. I also tried to convince them to make their software available on prem right now."

Daniel Dines

Daniel Dines on Why Work Processes Not Models Will Be The Most Valuable Asset in AI ▶ 53:37
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AI inference and supplemental data or model serving

"I suggest you use Fireworks. Fireworks is amazing. Lyn, the founders — she's one of the co-founders of PyTorch."

Cliff Weitzman

How to Build Your Own Data Center & Why Every Startup Should Do It ▶ 19:42

Inference for open-weight models like Kimi K3 without using Chinese servers

"I inference on Fireworks, which is a really nice service where you can just pay by the token, and if you're using these open weight models, they're not that expensive by token. So that's a great way to do that."

David Heinemeier Hansson

DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux | Lex Fridman Podcast #501 ▶ 1:40:40
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Databricks

Software

2 creators

Data platform that enabled AI and machine learning capabilities for TV advertising optimization

"We had to completely move out of a backend technology called Redshift into Databricks. What it meant is that by the time the large language models became available we were running hot. We were so ready for it."

Philip Inghelbrecht

Google I/O 2026, Birth Rate Debates, SpaceX IPO, Karpathy Joins Anthropic ▶ 2:13:10
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"We used Databricks which houses like a lot of our data and makes that usable. And so they built like this whole series of things that allows like just simple lookup."

Reed Robinson

How this PM uses MCPs to automate his meeting prep, CRM updates, and customer feedback synthesis ▶ 21:27
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Products are related to this topic through catalog tags. Quotes describe the creator’s stated use; they are not necessarily recommendations for this topic.

Creator counts cover all uses and all dates. Each person counts once per product family. Paid promotions and passing mentions are excluded. Items are ordered by creator count, then name.

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