What podcasts say about Anton Osika
Every statement, with the speaker, the exact quote and the moment it was said.
What Anton Osika has said on podcasts
12 statements · 9 positive · 1 mixed · 2 neutral
Lovable users build approximately one million new projects weekly.
“We're seeing a million new projects built every single week on the platform”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 25:45
Lovable-hosted applications receive over 700 million monthly visits.
“more than 700 million visits to the applications every month”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 26:10
Four-fifths of Lovable users are nontechnical.
“4 out of 5 are non technical”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 28:36
Lovable structures software architecture and helps prevent serious implementation failures.
“it creates a structure for the architecture of the software that you build and it makes sure that you don't go off a cliff”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 30:26
Lovable is developing an AI cofounder that recommends strategic business directions.
“a co founder that works for you even when you're sleeping and comes back to you in the morning and says here are some strategic directions”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 36:04
Organizations will increasingly use bespoke software for specialized requirements.
“you will have more bespoke solutions”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 38:59
Lovable can provide bespoke interfaces while retaining existing enterprise software underneath.
“you can continue to use Salesforce, HubSpot and all the tools that you like to use under the hood, but with a bespoke interface on top of it”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 39:32
Lovable uses multiple AI models to serve customer requests.
“we're using multiple models”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 40:32
Lovable uses customer-relevant error data and reinforcement learning to improve model performance.
“we make the models, we create data sets. We did something called reinforcement learning specifically for the problems where the frontier models are making mistakes for us right now”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 42:15
AI generally accelerates work enough to justify its expense.
“AI usually lets you move much faster, so the spend is usually worth it”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 44:50
- on Software development experimentationPositiveJul 15, 2026· All-In with Chamath, Jason, Sacks & Friedberg
Rapid experimentation is valuable for software development.
“I'm actually a huge fan of very rapid experimentation”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 45:50
AI is improving implementation faster than product strategy and problem selection.
“more of the bottleneck. Whereas more intelligence is on some tasks. It's great. It creates really beautiful things, 3D games, for example. But on figuring what to build, figuring out what are the right strategic directions or experiments you should run to improve the outcomes for your business, that's not changing as fast”
Open the episode · Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe CodingListen at 47:55
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.