The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 17 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Osika: Low ambition levels are the biggest problem for European tech startups
“The ambition level is the biggest problem, I think. Like, there's fewer people that are, like, super ambitious, like, okay, this is a unique opportunity in the history of mankind, and we're here to build the best way to build software applications with AI. Ins…”
Osika: Open source is overrated because AI models can generate code on-demand
“Unfortunately with AI, it's overrated, like the, an AI model can just spit out open source code, so to say.”
Osika: Non-coders are making hundreds of thousands from prompt-built production applications
“That's what we're seeing with people making hundreds of thousands of dollars having built production-ready applications, but just by prompting, not looking at the code ever.”
Osika: AI agent failure rates will drop tenfold within a year
“I think the, like, agents, they often get confused and trip over themselves, and we're in a year going to see that happening, like, by an order of magnitude less often.”
Osika: Software development will transition to visual, conversational AI interfaces
“We're going to see a completely new type of experience and interface to build software products, and it's not going to be humans looking at the code, it's going to be something new, something more like visual, and driven by talking to an AI, and it's going to …”
Osika: The US has far more experienced SaaS talent than Europe
“There is much more people who've built SaaS and like startups before that you can, that have like very, very good expertise that you can hire in the U.S. And much less so in Europe.”
Osika: Lovable users range from teenagers to funded serial founders
“Today it's used a lot for, as you said, like creating this first version of your startup by, both by teenagers or kids that are like, I want to make money and create something. And serial entrepreneurs that raised like fifty million dollars, but now they were …”
Osika: Lovable has reached 120,000 paying users
“Now we have a 120,000 are paying and it's a simple, simplest way to measure that.”
Osika: Almost all of Lovable's growth is driven by word of mouth
“Almost all of the growth is from word of mouth. So it's quite, it's like, it looks almost scary, like linear or like very predictable growth.”
Osika: Lovable is embedding distribution and user acquisition tools into its platform
“We don't, we want to help founders and we want to help them build their product, but we also want to help them get distribution on their products, right? So we're kind of building in growth over time into like the offering of building on Lovable. One part of t…”
Osika: Lovable will eventually be entirely built and edited using Lovable itself
“We still have not done this bootstrap where everything on lovable is edited with itself. And we are going to get there.”
Osika: Agentic orchestration and UX are the hardest parts of AI products
“The hardest part to get right is this inter interaction between like the AI, the complex agentic systems of like how the models are used and the user experience.”
Osika: Multiple Lovable-built apps have reached hundreds of thousands of users
“We have many apps that are like hundreds of thousands of users on their applications as well, or like visitors.”
Osika: Lovable's new team plan acquired 5,000 paying users in one month
“Yeah, so we launched the team plan a month ago, and we've already have more than four, I think, 5000 people who paid more to get on the team's plan where you collaborate, and that's done by a company, right?”
Osika: Lovable employs roughly 30 people, including 17 engineers
“So we're about 30 people now, and we've had to just increase our support side quickly, because they're still with this volume, there's always support the questions. We're 17 engineers, people working in operations, and now increasingly some people who like did…”