The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
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every show 44 of 44
Osika: Lovable reached 300K MAUs and 30K paying users in three months
“We launched Lavable less than three months ago, and now we have 300,000 monthly active users, and 30 of those, 30,000 of those are actually paying. And it is growing on this at the same rate, it's like, you just, almost only through organic word of mouth.”
Osika: Lovable is set up to modify its own codebase
“We have set up Lovable so that we can change Lovable with itself. We have done that.”
Osika: AI will soon automate product analytics, recommendations, and A/B tests
“AIs can do that on absolutely massive scale and propose changes to a human to say like, oh yeah, that sounds like a good change to make it a bit more intuitive. And it can also automatically run, spin out A-B tests so that you can see with data, all these impr…”
Osika: Versatile generalists are much more important for modern product teams
“I mean, doing a bit of everything, being a generalist is, I think, much more important than it used to be. And the, if I'm putting together a product team today, I would re-obsess about getting as much of, as many skill sets as possible for each person I hire.…”
Osika: Europe’s lower average ambition makes its untapped raw talent highly advantageous
“Inspiring people to be this ambitious in a place where the average ambition is lower, but the talent, the raw talent is much more available is, is a great recipe. I think that's a great recipe. So then, and that's what's I think it's some kind of advantage the…”
Osika: Non-engineer PMs struggle prioritizing deeply technical AI products
“For a product like ours, it's hard to be, like have product managers that are not engineers say,
oh, this is what we should do now, because
The right solution to the problem might be entangled in things that are like technical details, or they might be entangl…”
Osika: The software bottleneck is shifting from engineering execution to user intuition
“The bottleneck for most products these days, it's not going to be as much on engineering, but having Good taste, good intuition about your users, and that, I mean, engineers and everyone preferably in the team should have that, like, willingness at least to wa…”
Osika: One dedicated week using AI puts you in the top 1%
“Yeah, I think if you spend a full week on trying to reach an outcome, the best way to learn is like, I want to do this thing, and then I'm going to use AI to do that thing. And then you've spent a full week, you're in the top one percent in the global populati…”
Osika: Early startups must say yes broadly, but scaling requires focus
“What works in the beginning Is to say yes onto a lot of opportunities and try out what works. Once you become more people and you have to follow up and maintain everything that you start, you have to be much more focused.”
Osika: Domain experience can be a negative signal when hiring
“So I think experience can be a negative thing in some cases. You often want people who are super ambitious, they have a lot to prove, and they are more open-minded towards how, how you should work together in the team.”
Osika: Having a team slows down founders shipping V1 SaaS products
“Hey, if you want to ship the first version of your SaaS and start making money, it's all you. It's not a team. Like a team just slows you down.”
Osika: Prompting Remains the Right Default UI for AI
“I think yes. Prompting can, you can do almost anything with prompting and explaining your thoughts in written form.”
Osika: Founders should prioritize minimizing equity dilution over growing the pie
“Here again, like I have a very wise person who was like, no, dilution doesn't matter so much. It's all about the size of the pie. And I think that was, I was both affected by that advice as well as my, like, no, minimize dilution. This is my life, life's work.…”
Osika: Europe has more raw available tech talent than the US
“The most important thing is talent and culture, and it's, More raw, there's more raw available talent in Europe.”
Osika: Tech megacorps won't build the best products for years
“The big megacorps, they move very slowly in many domains. So they're never going to, in many years, they're not going to have the best product on the market.”
Osika: Tesla is my 10-year public stock buy-and-hold pick
“Some talent play. What comes to mind is Tesla. They're also interestingly positioned outside of software.”
Osika: Vibe coding compresses six months of software development into hours
“You can take your idea to an application in what used to take people, like six months, going to be done in a few hours.”
Osika: One million new projects are built on Lovable every week
“We're seeing a million new projects built every single week on the platform.”
Osika: Applications built on Lovable receive over 700 million monthly visits
“We're actually seeing as a proof of that more than seven hundred million visits to the applications every month.”
Osika: More than 50 million apps have been built on Lovable
“More than fifty million apps built on the platform to date.”
Osika: Lovable's hosting product is growing faster than its software builder
“What we've done since then is to have a new product line, basically the hosting part, which is both the AI And, you know, all the normal hosting, and that product line has been growing faster than the building thing.”
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: Lovable applications generate over $10M ARR for AI model providers
“We looked at, like, the number, this was a few months ago, but we looked at how much Revenue is flowing through the AI from lovable applications. Okay. And it was more than ten million dollars in ARR.”
Osika: Hyper-personalization will eliminate detailed AI prompting within five years
“Yes, I think so, but maybe it will evolve in terms of how you do it. It will, like, hyper-personalization takes care of a lot of detailed prompting. That we have to do today.”
Osika: Lovable will act as a full-stack AI co-founder by 2026
“I mean, it's your perfect co-founder that you go to with your idea from the idea stage, but also all the way up to growing your business once you have customers and taking care of like what Elena is doing, optimizing the product for growth, optimizing the prod…”
Osika: Lovable enables direct visual editing of underlying codebases
“What we just released is that you can actually edit this. Like this is a fully functioning product, but you can edit it visually. Like you can edit, like you do in Squarespace and Wix and so on. So I'll just change the text to buy now. And then it instantly ch…”
Osika: GitHub suspended Lovable after it generated 15,000 daily repositories
“Lovable Earlier was always creating new projects on GitHub when someone used Lavable, and it was, we asked them, is it fine? Like, how, what's the limits here? They said, are there no limits? But once we started creating 15,000 projects per day, so there were …”
Osika: Say no to most features to maintain Apple-like quality
“You should say no to as many things as possible and make it more of like an apple feeling. The things you do them superb.”
Osika: Hire Top Young Talent Before They Become Founders
“The best people that you can hire at a young age, they would go on and become founders, and then you can't hire them anymore, right? So, so that's why junior people are often quite good.”
Osika: Putting LLMs inside a for loop enables autonomous AI agents
“Hook them up and make you basically put the large language model in a for loop and then you can have it do a lot of agentic things.”
Osika: Users are building revenue-generating SaaS companies entirely via Lovable prompts
“When we went on to iterate over the coming year, we packaged together all of these things so that you can ask today lovable, I want to build a basically a SaaS business, and then people have built their entire SaaS companies and get made money by just promptin…”
Osika: Product waitlists exist to control onboarding pace and conduct user research
“I think the waitlists are useful in that you can control exactly how many people you want to get on board and take user interviews with them.”
Osika: AI can easily destroy existing codebases without engineer oversight
“But once you have existing software, With users, and then you want to iterate and change that software, AI might absolutely bring down, kind of mess up your entire codebase.”
Osika: Lovable expanded a $3M preemptive offer into an $8M pre-seed
“So we took three million and then we added on I got the advice to say like, yeah, just to get a lot of cash because you never know what happens in the markets. So we raised a quite a large pre-seed round with an up to almost eight million dollars.”
Osika: Lovable wasted effort building early in-product community features
“I think at Lovable we thought a lot about the community, and like community features inside of the product, and the, that, I think that could have made a lot of sense if we had seen slower growth. But now that it's just like growth is not something we, not a c…”
Osika: Adding management layers at 40 employees was my biggest mistake
“Thinking that we should change the culture and become a more of a scale up something slow moving or like more management layers when we became 40 people. That's, that was the biggest mistake I did.”
Osika: Lovable has reached nearly 40,000 paying users
“So we have almost 40,000 paying users, and then that's the proxy for that.”
Osika: Startups should not innovate heavily on pricing models
“Otherwise, I think you shouldn't, don't innovate so much, too much on pricing. Do whatever works today.”
Osika: Enterprise is currently Lovable's fastest-growing customer segment
“Where we're actually growing fastest right now.”
Osika: 80% of Lovable users are non-technical
“About 20% are technical or some type of engineer, and they love that we're quite opinionated. We put all the best practices into how the software is architected, and we make it seamless to we want from get payments set up in a very secure way. And do things li…”
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…”