Michael Lingelbach, founder and CEO of AI video platform Hedra, discusses product-market fit and learning from user feedback after launching Hedra's initial viral product.
Prediction Not checkable as stated
Lingelbach: AI models will be sufficient for most use cases in six months
“I think in six months the capabilities of these models are going to be good enough for, like, most of the use cases that you'll need, and, like, a lot of it is going to be, can you build vertical specific workflows that, like, solve, like, specific pain points…”
Assertion Not checkable as stated
Lingelbach: Hedra's models support infinite recursion for long video generation
“One of the advantages of our technology and our architecture is our models support infinite recursion so we don't have an issue with long video generation like other providers.”
Insight
Lingelbach: Media AI apps cannot yet rely purely on foundation models
“LLMs are just, like, much more farther along, and they have, like, a very well-defined, like, path, and it's really just about scaling them at this point, and, like,
You know, working on reasoning, improving general intelligence. I think for, like, media gener…”
Insight
Lingelbach: Clever academic AI techniques were ultimately ineffective against scale
“A lot of the clever approaches were, that we were doing in academia were ultimately, like, nothing in the face of scale, and that, like, if I wanted to build something impactful, I felt like I needed to do it in, like, an industry setting at that time.”
Insight
Lingelbach: Agentic orchestration tooling will get subsumed directly into AI models
“There's certain technology that will get subsumed by models, so I think a lot about, like, agentic orchestration is, like, a good example.”
Insight
Lingelbach: Venture-backed startups should hire a talent lead early
“People should consider bringing on a talent person if you're venture-backed really early on.”