Podcasts about Software business

You're tired of hearing “just build a SaaS” like it's easy, especially when you don't code, don't have a team, and still want something real that can actually make money. It can feel like everyone else has access to some secret playbook while you're stuck trying to figure out where to even begin. In this episode, Omar completely removes the gatekeeping and shows you what it actually looks like to build a real software business in a ridiculously short timeframe using AI. Nothing is hidden. He walks you through the exact tools, decisions, and steps he takes so you're not left guessing or piecing things together on your own. It's clear, practical, and designed to make you feel like this isn't some exclusive club, it's something you can dive into right now. If you've been waiting for proof that you can pull off your own AI-powered software build in a matter of hours, this is it. Click play at the top of the page and see how you can turn your idea into a real product faster than you thought possible. MBA2790 How To Build A Software Business With AI This Weekend. Zero Coding Skills Required. Must-Have Stack to Build Your Own AI App 1. Supabase 2. GitHub 3. Windsurf 4. Vercel 5. Claude 6. GoDaddy 7. Stripe 8. Kit Helper / Optional Tools to support your workflow 1. Wispr Flow 2. Google Forms 3. Chrome DevTools (Inspect Element) Recommended episode to explore: Can You Build A Profitable SaaS In 7 Days With Just AI? My Experiment With Proof! Watch the episodes on YouTube: https://lm.fm/GgRPPHi SUBSCRIBE YouTube | Apple Podcast | Spotify | Podcast Feed Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Most founders think they have a sales problem. According to Lou Shipley, they usually have a customer understanding problem.Lou is a 3x CEO, Senior Lecturer at Harvard Business School, former CEO of Black Duck Software, and co-author of Unlikely Entrepreneurs.During his time at Black Duck, Lou repositioned the company from open-source compliance to open-source security, quadrupled revenue, and helped lead the company to a $565 million acquisition by Synopsys.In this conversation, we discuss: Why founders should not hand off sales too early  The real purpose of your first 100 customer conversations  How to know if you're solving a painful enough problem  Why competitive markets can be better than new markets  The go-to-market framework that helped scale Black Duck  How to identify product-market fit before building too much  What causes churn and how to spot it before it happens  Why most founders misunderstand scaling a sales team  The reality of AI and what founders should pay attention to  Lessons from six startups, multiple exits, and decades of leadership This is a practical conversation about sales, positioning, product-market fit, scaling teams, and building companies that customers actually want.00:00 Introduction to Lou Shipley and Black Duck Software02:00 The Black Duck acquisition story and repositioning strategy04:30 Why founders should own sales longer than they think09:10 Learning from customers before chasing revenue12:00 Why competitive markets are often better opportunities15:00 The myth of the young founder and why experience matters18:40 Understanding customer pain deeply enough to build a company21:20 Signs you're building a solution nobody truly needs22:45 Building software for yourself vs guessing what customers want25:00 How Lou repositioned Black Duck around security27:30 Managing vs leading as your company scales31:00 Escaping the weeds and thinking like an investor33:10 The sales framework behind Black Duck's growth39:00 Churn, product-market fit, and customer retention43:30 AI, software startups, and what founders should watch51:30 What Lou learned after running multiple companies57:20 The one message every founder needs to hearUnlikely Entrepreneurs: Wins, Losses, and Crucial Lessons on Building Great Companies: https://a.co/d/0fPfhi1D

The SaaS multiples run was long, but it had to come to an end. Or Had it? Navigation: Intro Setting The Scene The Roots — This Didn’t Happen Overnight The Structural Thesis — Why This Isn’t Just A Sell-Off The Private Market Fallout The Bull Case — Is The Market Wrong? Separating The Wheat From The Chaff — Who Survives? Wrap-Up & Key Takeaways Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show: Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Introduction Nuno Goncalves PedroWelcome to Episode 75 of Tech DECIPHERED, the SaaS Apocalypse: Why AI Breaks or has Broken or Broke the Software Business Model. In today’s episode, we will talk about what’s been going on in SaaS. SaaS, also known as Software as a Service, as a sector, has just had its worst month since the 2008 financial crisis. Give or take, around 1 trillion in software stock market cap has evaporated this year, and it was triggered in many ways by the rise of a lot of the things we’re seeing, in particular, agentic AI. We’ll talk about it later.One of the key triggers seems to have been the launch of Claude or Claude Cowork. There’s a lot of fears that the model that is taken as SaaS to be the darling of investors, both VCs, private equity funds, and also retail investors, has now evaporated. The sweetheart industry no longer works. Bertrand, what happened to SaaS? What’s happening? Bertrand SchmittSetting The SceneWe are in the middle of what some are calling the SaaSpocalypse. I think that was a coined term early this year. It’s pretty bad. We are recording that March 13th. Definitely January, February of this year, 2026, were really terrible. There is no question about it. Strangely enough, since the start of the war with Iran, there has been a small rebound, so we will see how it goes. But also to give some context, we are still not worse than what happened in 2022. We are still in a better place so far. I would say the difference, there is clearly a focus in terms of SaaS versus tech in general for that down term. Nuno Goncalves PedroWe’ve seen obviously a lot of things happening, right? A lot of announcements. The iShares expanded Tech-Software ETF down 25% year-to-date. Everyone seems to be running into panic, JPMorgan, Goldman Sachs. Basically, Jefferies, I think, as you said, originally termed this the SaaSpocalypse. But definitely, it seems like everyone’s trying to sell stock and saying, “Hey, SaaS is going to die.” We’ve seen a lot of interesting elements to this, we’ll talk about it later, around AI eats software. Software eats the world. AI now eats software. I guess AI eats the world.But the reality is, we’ll discuss it later in the episode, it might be just a lot of stuff that’s reacting to what’s actually happening in the market, that there was a couple of misses in terms of numbers, that the growth of some of the key SaaS players that are driving a lot of the public stock wasn’t that great recently. That adding to some launches like we mentioned, the Claude Cowork launch, et cetera, has led people to say, “Hey, maybe some entire spaces of SaaS don’t make much sense going forward.” Bertrand SchmittActually, I don’t know if you noticed, but I think it was yesterday, it was announced that the CEO of Adobe just resigned. I was shocked how bad they managed the transition to AI. I guess it’s one of the first victims of what has been happening. From my perspective, and I will go deeper, but there is a bit of an overreaction. Claude is amazing as a tool, but the launch of Claude Cowork, a few plugins decimating the market, I think that’s an overreaction in the sense that many of these SaaS companies will be able to actually benefit from AI as well. Or some of the new AI tools really, really depend on the existence of an underlying SaaS layer that’s controlling some processes, some data. So I think we have to be careful about the extremes.At the same time, what is true, the growth rate has been going down for SaaS. If you look in the 2021 to these days, we move maybe from 30-11%, 12% average growth rate. It’s a dramatic difference in growth rate, and you cannot keep the same valuation when your growth rate has been divided by three. I mean, that’s just not possible.I think that there might be some overreaction about what company like Claude can truly achieve. At the same time, the reality is there that while SaaS companies are usually relatively strong companies, the growth rate has diminished, and as a result, so should the valuation.The Roots — This Didn’t Happen OvernightBut maybe we can move deeper about what happened the past 2 years about SaaS. Nuno Goncalves PedroIndeed. Some things going back as much as 2024 when Salesforce had its worst trading day. By then, in 2 decades, and went down by 20% on a rare revenue miss. So some early people, a lot of analysts, see this as an early warning of what was to come. Late last year, a huge shift as the different labs of a bunch of different players started launching agentic solutions, which in some ways started eating into a lot of the functionality, not just of vertical SaaS, but also of horizontal SaaS. As a distinction for some of our listeners who are not familiar with that distinction, vertical SaaS is normally SaaS that’s very specific to a specific industry or sub-industry or specific arena, whereas horizontal SaaS is normally SaaS that doesn’t require much adaptation to work across industries. A good example of that might be HR management systems.But basically, because of some of the early developments in those labs and a lot of the solutions that we started seeing around agentic tools, the market started being less positive on SaaS players and trying to readjust it. Those are the historic moments, 2024, 2025. Then all of a sudden, we see the growth rates of SaaS companies coming down, because obviously this doesn’t only have manifestations in the public equity markets. This has manifestations in clients.People, at this moment in time, we’ll talk about it later, are reconsidering their options. They’re like, “Why should I have a SaaS tool? Should I buy it from another player? Should I have a more holistic solution or an integration with Claude, for example? Should I develop in-house?” We’ll talk at length on what’s in customers’ minds, but customers started changing their views and stop buying some solutions that were out there from the large players that are public equities today. Bertrand SchmittYeah, it’s clear that there has been also just overall industry-wide tendency to try to cut on the SaaS subscriptions. Maybe there was too much interest buying too many software solutions, not rationalizing enough, not being careful about the spend. It makes sense that this has hurt overall SaaS growth rate. At the same time, there has been a transfer from IT spending from SaaS tools to AI, so we create a smaller budget for buying SaaS software.But going back, when you look at the change in revenue multiples, it’s crazy. In 2021, we were close to 20X EV, enterprise value to revenues. Now we are talking about 6-7X entering 2026, and we will see later on it does crunch even more. Right now, we are at 4X revenues. So from 20 to 6 to 4, and that’s the lowest in terms of multiples since 2016. That’s 10 years ago. P/E multiple for what multiples also comprise from close to 40 to close to 20.Talking about Adobe, Adobe trades at 5-year average of 30X, now at 12X. No wonder the CEO resigned. I don’t want to be mean, but I think it’s clear some CEO were very strong leading their companies into a SaaS paradigm, but were not as strong leading their company to a new AI paradigm. I think the markets are going to be brutal. If you are good at showing that you can transition to AI, you’re an important piece of the puzzle for AI, that’s one thing. But if the markets believe your products have not kept up, then it’s truly big trouble.I mean, they are not the only one. Intuit 34% decline in a month. Atlassian, minus 35 in a week. ServiceNow also down a third. They are not the only one, but definitely companies have to show some proof of either the lack of vulnerability in an AI world or their capacity to really move strong to a brand-new AI world. Nuno Goncalves PedroThe Structural Thesis — Why This Isn’t Just A Sell-OffWhat are the structural issues? Why wasn’t this just a sell-off? Why is this structurally a problem? The first thing is really around monetization and business model. SaaS 1.0 or 2.0, however we want to call it, was based on seat-based licensing. Seat-based licensing was the notion that with more employees and more users on the platform, there would be more revenue for the SaaS company. Very simple, very clear, very lucrative.Now, obviously, AI agents don’t occupy seats. An agent can do the work of 10 people, can do the work of 20 people, 30 people, 100 people, whatever it is. Therefore, if I’m a company, and I’m using agents, and not necessarily a human user, I’m not going to buy 10 licenses for the work of 10. I have one license, and it’s used by an agent that basically has access to that tool. That’s the first issue. The first issue is that the seat-based pricing, assuming humans, assuming a certain degree of productivity, et cetera, all of a sudden is under stress. Bertrand SchmittMaybe to highlight some point, not every SaaS company was focused on per-seat pricing. Me, when I led App Annie, we didn’t have a per-seat licensing or pricing at all, so we were focused on value-based pricing. But that’s true that around us, we have seen that quite a lot of your typical SaaS business was run on a per-seat pricing. Anytime there is a market downturn, you pay a dear price for your per-seat pricing. On top of it, these days, as you said, we have AI. In an AI world, the per-seat pricing model breaks down. Nuno Goncalves PedroIndeed. Now people are asking for other kinds of pricing schema, right? Either flat pricing based on certain usage patterns or, for example, outcome-based pricing. So depending on the outcome of what I’m trying to achieve, is it a booking of a sales call, is it something else? Whatever it is, I pay for that. But I do not pay for seats because that doesn’t work anymore.There have been a lot of movements around these licensing agreements and these basic elements. Some have actually now tried to create agentic licensing agreements. It’s like, “Okay, I have licensing agreements now for your agents, not for your end users.” It used to be end user licensing agreements. It’s now agentic licensing agreements. Obviously, there’s a shift.Part of the shift is, I believe people want to be in a measurement scale that is different. They don’t want just to pay for a seat. They want to pay for either specific outcomes that are very clearly measurable or have flat fees across the board on a variety of things. I think we’ll see the emergence of a couple of these business models and these monetization models more significantly. I do think we’re still to see some innovation around some of these monetization models, which will occur over the next probably few years as people are getting used to it. Okay, now it makes more sense for me to pay by this rather than by that.Again, because it’s a disruption, we’re still getting and nailing down what effectively the new monetization models and business models will look like for some of these players, but it still will be served as a service. We’ll come back to that later as well. Agents can do a lot of stuff and whatever, but it’s like agents and AI are software. AI is software, whatever you want to call it. AI is software at its base and its profound meaning and what it does, et cetera. Bertrand SchmittSeat-based pricing, usage-based pricing, yes, it’s too simple. Yes, it has its flaw. But at the same time, when the industry started, it made a lot of sense. That’s easy to manage, easy to control, at least from the SaaS company perspective. But definitely now that the industry is maturing, I can see that rise and the benefit and value of moving to an outcome-based pricing or to a value-based pricing. What I like with that also, it’s more truly win-win for both sides, for the SaaS companies as well as for the customer of the SaaS company. If you are more win-win, more aligned, I think it’s a better situation, more frictionless. I think it would be a big change.Another interesting piece of the puzzle, obviously, of all the changes we’re seeing is that one of the best assumptions in SaaS was you have 80% to 90% gross margin. If you are below 80%, there were serious questions coming your way in terms of what’s wrong with your business model as a SaaS business. Below 80% was blinking yellow light, below 70, blinking red lights. But now, it’s very different because AI-native companies, you’re expecting more a 50-60% gross margin.Obviously, if you’re SaaS companies, you better move fast to more AI-native tools and services. That will impact your margin. When you decrease so much your margins, of course, it will impact your valuation. There is no other way around that. You cannot value the same way a 90% gross margin business and a 50% gross margin business. That’s simply not reasonable. I think that one is part of the change and part of a different way to value companies. It’s very reasonable. Nuno Goncalves PedroThe first two structural issues is, one, obviously the per-seat pricing piece is potentially dying or at least becoming less pervasive in the market, added to these emerging pricing and monetization models that we just discussed, value-based, outcome-based, some usage-based pricing, some hybrid models that are also out there with some base subscriptions and then other kinds of things and tiers on top of it, either usage or outcome-based.The third big structural shift that we are seeing is, and I already alluded to it earlier, this notion of build-versus-buy. In the past, I think the market went fully into buy. In some ways, even beyond the, “I will buy one” solution that solves all the problems, we went into best in class. We went to unbundled buying: I’ll buy the best solutions for what I need in my corporation and enterprise needs.Now we’re getting a shift back into building: I’ll build my own stuff. I think a lot of it is relating to two things. One, there’s coding agents out there like Claude Code, Codex from OpenAI, and a bunch of other coding agents that have emerged. There’s a lot of solutions out there, like we mentioned already, Claude Cowork, that really managed to have agentic solutions into workflows that are deeply embedded into some of the enterprises.At the end of the day, I think there’s a lot more of this notion of, I have all my data in-house. I want to really leverage all the data I have. I don’t want to just use a third-party solution that has generic data. I want to use my data set, I want to use my stuff, and I want to basically fit that into ongoing improvements in terms of workflow.The other piece, I think, what’s happening with IT departments in some large corporations that’s leading to this build mindset rather than this buy mindset is also the notion of maybe we have too many people. How do we really express our productivity if we don’t have solutions that are at the core of our processes? If we have solutions at the core of the processes that we develop ourselves or that we develop in partnership with integrators, et cetera, but using some of these new AI platforms, we also have more visibility on the people that we can let go.Now, I know this is quite negative, but I think this has also been leading to all the layoffs that we’ve been seeing across industries recently, where people are like, “Well, I can just extract productivity.” We’ve seen some of those very visible ones. We were talking about Amazon and what’s happening at Amazon with the layoffs recently. A significant amount of layoffs recently announced.Then some other issues on the other side where apparently the junior engineers that were still working on stuff using Claude and other tools that they were using internally started breaking platforms and breaking systems. Anyway, definitely there’s a lot of that going into this build mindset. I want to have control. I want to make sure I understand where the productivity enhancements are, and that will give me more visibility on the people that I need to keep and the people that I need to let go. Bertrand SchmittI’m not so convinced about this part of the puzzle. I think that for many, AI is a convenient demand, but I’m more thinking that some companies, Amazon included, Microsoft, truly, truly over-hired in 2020, 2021. Yes, they scaled back a bit, 2022, 2023. But I don’t think they ever scaled back to what was reasonable given their needs. So it’s quite convenient to say, “No, it’s not management mistake of efficiency, it’s something new AI, and we have to adjust to that.”What I believe is true, however, is that you cannot fund both at the same time in the sense of you cannot finance an over-bloated workforce, and two, significant extremely large AI investment. At some point, these companies were faced with a choice, and they took a reasonable decision on this to be more efficient with their workforce.But personally, I think that actually the ability to do so much more with AI will make more companies think more about their teams and building things because when suddenly your engineers can be way more efficient, can build way more, the value increases. So you could argue that there is an opportunity for companies to deliver more, and as a result, I can see if you’re a good engineer, then there will be opportunities to build more value, potentially across more companies.So we might see a shift where you have more growth in software-related jobs outside the core top 10 bigger software companies, but growing more widely across your typical S&P 500 and even SMBs who could never afford to really deliver value with typical software engineering. But now suddenly, software engineering equipped with AI can be more dramatic in terms of value for them. Nuno Goncalves PedroI agree this is a scapegoat. I agreed that there’s a lot of posturing as well. If someone can lay off a significant percentage of their… It’s almost like the percentage of people you can lay off becomes your new pattern as a CEO, your new, “Basically, I’m saying right now to the market, I can cut…” I mean, Block, I think, cut off 40% of their workforce.At this point in time, seems a bit dehumanized. I think the tech companies are the worst cases, in particular because AI also does disrupt them a lot in their own processes internally. But it feels to me right now, it’s a little bit this one-upmanship of, “Okay, I can lay off more people than you can, kind of thing.” It’s precisely all the fears that a lot of people have around AI. It’s like you’re dehumanizing work. It’s like at the end of the day, people are still needed to work, et cetera. Bertrand SchmittBut I think Block might be one of these companies that completely over-hired over the past few years and never took the pill to reoptimize the business. Nuno Goncalves PedroI think we mentioned it at a previous episode that there was an estimate at some point in time that… For example, even Google had more than double the number of engineers they needed at any given point in time. So obviously, they did hoard engineering resources in other capacities. But at this point in time, it feels a little bit like up to you since being a software engineer right now is a kiss of death kind of thing. Which is weird because at the same time, we are seeing tremendous reallocation of capital overall in the industry towards infrastructure and platforms, where hyperscalers are at 660-690 billion in infrastructure CapEx for this year alone, and 75% of that being AI, where we are seeing a lot of movements around how do I budget accordingly if I’m a corporation.To your point, I think you made that point earlier, Bertrand, how if I’m the CIO of a company, do I allocate my resources more clearly, in particular, if I’m taking into account that I need to spend more money on AI and AI tooling and AI platforms. Obviously, at the end of the day, the CFOs are still there, and the CFOs are basically saying, “Hey, guys, we went into an unbundled world. We had all these agreements with all these people. I want more concentration.” At the same time, the CEO is telling me we need AI, “So whatever it is, you guys tell me what it is, but we can’t increase our budget for this stuff. We need to decrease it, and there needs to be AI in it.” Obviously, there’s a lot of reallocation also at a micro level within the corporate world. Bertrand SchmittYes, you cannot say it will be more built versus buy. At the same time, we are going to need less engineers to do the build. You see what I mean? Even with AI helping you, building which still cost you more, require more software engineering than just a buy decision. For me, what’s interesting is that not so many of these stories can be true at the same time. You require a next workforce, but at the same time, you’re going to rebuild your whole software stack from zero just because of the AI God that you just brought in from cloud. This is not reasonable, simply not reasonable. Nuno Goncalves PedroI think the thesis is that your top engineer is I think, in particular, the more senior engineers, can now do the job of 10. Therefore, what I am switching in terms of cost, I’m not saying I’m agreeing with the thesis, but the thesis is that. What I’m reallocating in terms of budget is, I’m reallocating towards spend at infrastructure platform level, on tokens, et cetera. That’s basically, I think, the thesis of what we’re seeing happening right now. Bertrand SchmittYes, but if you were just, quote, unquote, buying software, you’re not building software. You didn’t need software engineering to just buy software. Your software engineer that becomes as valuable as 10, yeah, but you had zero if you were just buying software. You see what I mean? Nuno Goncalves PedroNo, IT departments have always had engineers, the larger corporations. Yeah, for sure. Bertrand SchmittIt’s a very different game if you are moving from buying to building. It’s my point, I guess. Nuno Goncalves PedroIt is. Just to be clear, Bertrand, this whole build-versus-buy, the build is going to be done with a lot of use of outsourcing and a lot of use of service providers and a lot of use of integrators, et cetera. This whole bullshit of build-versus-buy, in effect, it’s a misnomer because at the same time, you’re going to have to hire, to your point, you’re going to have to hire companies, et cetera, to help you do this. It’s not magically that you can do it off the existing IT departments that you have. Bertrand SchmittExactly. The question will also be, is your first priority of business to rebuild Salesforce from scratch so that it better fits your internal need as a corporation because you have rebuilt from scratch with AI? I don’t think so. That for me is total overhyped bullshit. Klarna was big on that, this is total BS, quite frankly. Not only it didn’t work, but it makes zero business sense. Zero business sense. You’re not going to rebuild a CRM just for the fun of it while your software engineering could be focused on your core value proposition as a business. If you’re a company just starting, you have processes from scratch, you still don’t have solution, yeah, maybe you could consider that.But even then, is it really your priority versus building your core value proposition? For me, that’s a big question. But what I would expect, however, is that this overall trend mindset and stuff is going to keep the pressure on two software companies in terms of reducing tiers of cost, in terms of delivering more value, in terms of being more aligned to the business, and in terms of overall growth rates that are simply not the same as they used to be. Nuno Goncalves PedroBefore maybe we move to another topic, I think it’s clear, we’ll come back to that later, that there are a lot of overblown elements in this. You can never disregard a couple of very, very core elements. A lot of these software companies have very deep tooling into significant enterprise customers. You can’t just rebuild it from scratch yourself to your point. Not only does it make sense, but you can’t. It would take you years to do it. Good luck to you.Secondly, they have also distribution. They are pervasive in the market. They have sales forces. They have people that are selling out there. They have go-to-market teams. Again, we’ll talk about that in maybe one of our penultimate sections today. But maybe to move forward, we talked a lot about the public equity markets and how there’s been a reckoning by institutional and retail investors, et cetera.The Private Market FalloutBut also there’s been a private market fallout. The first one is very obvious to understand. Private equity firms loaded themselves with SaaS. Some even went after roll-up strategies in SaaS, like bringing a bunch of companies together and trying to attack a market and really getting a significant part of that. Software accounts for roughly 25% of the private credit market, which is incredible. Just that’s private credit alone, significant again. They’re loaded with a bunch of companies that have nowhere to go. They can’t IPO, nobody else is interested in buying them unless it’s for a huge write-off or write-down. That’s the first problem right now that we’re seeing in this fallout, which is the private equity market itself. Not only the buyout market, but also we saw a lot of growth funds loading themselves with private equity stock, with a rather SaaS stock, private SaaS stock.Right now, there’s nowhere for that to go. They’re stuck between rock and a hard place with a lot of solutions that are not growing at the rates they were growing before, with a public market that’s not really interesting right now to IPO in, because as we were mentioning earlier, the multiples have gone downhill dramatically, so it’s not interesting. Basically, it’s a chicken-and-egg issue. I would love to sell this now, but I can’t because I have awful market. I can’t IPO it either, so what do I do with all these assets? That’s the first issue here. Bertrand SchmittIt’s clear that you have to be pretty delusional to think that what’s happening in the software public markets is not impacting the private markets. We don’t know why it will be in six months. In six months, it could keep getting worse in the public markets. Six months, at some point, maybe there is a recognition it went too far in terms of adjustment. It’s always tough. But at the same time, you have to be prudent. For sure, what it means is that if I’m a private equity investor in a SaaS business, you have to be a very, very, very special SaaS company to get more financing these days at good terms.Sometimes it’s a very simple math. If you fundraise at 20X, even 10X, how do you go to get to another round of financing if now your multiples are at 4X? That simply makes absolutely no sense whatsoever. Or you need to have grown into your valuation enough that it’s not crazy anymore. If you raise at 20X, and now you’re in 4X multiple, then you need to have grown 5X in your revenues so that you simply stay at the same valuation, or maybe you have to accept a different valuation. But again, quite frankly, the tough part would be convincing investors that it make any sense to put money in a SaaS business. Nuno Goncalves PedroJust to rub it in, just to make it even worse, the secondary market, which was a great market for exits or partial liquidations, et cetera, is demanding now huge discounts. There’s no way I’m going to buy into a stock if it’s not growing at the same pace. I’m like, “I’m sorry.” I will buy your stock at a significant discount. In some cases, it might be what would be a lesser price per share than your last round or your last two rounds. Not just, I want a discount on what you think you’re worth, but it’s like, I want a discount on your last round.Because there’s liquidity issues also in some parts of the market, we were talking just about the private equity firms, some of these deals will go through. If all of this wasn’t quite enough, we have what’s happening in venture capital, which is very close to my heart, of course, because that’s where I play. If you come to me, it’s like I’m a SaaS player immediately off the game. I’m like, “Really? You’re a SaaS, tell me more.” I was just talking to a player recently, SaaS play, there was nothing around AI in their pitch.It’s not just because you have AI in your pitch that I’m going to give you money, clear, but if you’re doing a SaaS play and there’s no AI in your pitch, I’m like, “Am I missing something?” If it looks very classic, I’m like, “Oh.” There’s been a huge, huge reduction in confidence in the VC space in investing in SaaS. There’s a tremendous hyper focus on AI, and in AI investing, AI apps, platforms, infrastructure by most VC firms at this moment in time. And so at this point in time, if you’re a non-AI SaaS player trying to raise money, where’s your AI play? I think that’s the question you’re going to get. It’s going to be very difficult to raise, very difficult to raise. Bertrand SchmittI agree with you. Myself, I saw that SaaS startups with absolutely no AI in their deck, and I was so shocked. I was like, “Guys, where are you living? Are you living in a parallel universe? Are you living under a rock? What’s going on?” Then they are like, “Yeah, but we’re preparing something like that, I come back and prepare.”But even then, as you say, it’s not just leaving AI in your deck. It’s what are your proof points? What have you delivered? How do you make sure that it’s truly differentiator? And how does it make sense versus a pure AI native companies? How are you going to find the new cloud tools that are going to get out in a few weeks and more or ChatGPT or whatever? You have to have a very different proof point. There is nothing new in the past. It’s how are you going to survive against Google? How are you going to survive against Salesforce? How are you going to survive against Microsoft? So nothing is new.Software universe is changing. There’s always that big guys that can destroy you in a matter of weeks. So the question is more, how are you going to be smart enough not to be killed too easily and to find your way in a space that’s probably moving faster than ever? That is probably the difference is that it’s weeks after weeks, you have big change. I’m pretty sure it didn’t happen in that space before because I’ve seen there, I’ve seen that, and it’s moving faster than ever. But it’s nothing new that there is this big company potentially destroying your business. You have to be smart.I feel in some ways, maybe it’s the 2020s, but people stopped being smart, quite frankly. They just raised easy at very large valuation and think that you just do something sometimes pretty basic in terms of software development and that’s good enough. Your GTM is traditional, and you think you made it, and you deserve some investment. I think you must have seen some of this. I have seen a lot of this. In some ways, it’s good. The market is becoming more discerning. Nuno Goncalves PedroThe Bull Case — Is The Market Wrong?But is the market wrong? Maybe shifting to that, at least my perspective is it’s wrong. It’s not fully wrong, but it’s wrong. There’s a right sizing of multiples, but maybe 4X is not the right multiple either. This whole 20X on actuals and 40X on forward stuff didn’t make any sense. There is an argumentation to say that the market is oversold. All the banks have come forward. Goldman Sachs, JPMorgan, Jeffries, Morgan Stanley. Everyone’s come forward and said there’s been definitely, Bank of America, whatever, there’s been an overselling of stock, a dramatic overselling of stock. There’s been a panic that wasn’t warranted. The price has gone down too dramatically for some of these key players.I think part of it, in some ways, is what we were alluding to earlier, the fact that some of these players have built really important stacks that are fitting their customers in a significant on core processes. You can’t just rip it off and put something new. Magically, it will work. It will be around building things around it rather than building things that replace it. Will there be over the long term potential disruption of some of these players around CRM and other solutions? For sure, we’ll see it.But definitely, some of the existing players, public companies that are large, are here to stay, and they themselves will buy into these markets. They’ll acquire positions into other service providers into toolmakers, into other platforms that allow them to be fully AI-enabled and to make their platforms more AI-enabled. I do think there was a huge amount of overselling. The second thing we already alluded to as well as go-to-market. If I’m selling something to someone, there’s a salesperson involved or there are a couple of salespeople involved, they’re not going anywhere. So in some ways, that relationship building with CIOs, with their teams, with procurement teams, all of that is still there.And a lot of the large SaaS players have been doing this for decades. So they have the surface of attack and go-to-market that will take a long time to build for even some of these startups that are disrupting, so to speak, the market. My view is there has been too much panic and the modes of the large players that are already public, in some cases, haven’t been considered at all. Bertrand SchmittThere’s definitely some truth in that. Another piece of the puzzle is that if SaaS is not growing as fast as it used to be, it’s still growing. Many companies are still very good cash generation machines. Many of these companies are moving to AI full speed, improving their tools, changing how you can search their data, how you can leverage their data. They are very close to the data, so they know best how to deliver value on this data. They can integrate existing AI tools. There are a lot of ways for them to capture part of the value that native AI companies are claiming they will get. I think it’s definitely going to, and we’ll talk more later on. I think there will be a question around how do you differentiate the best SaaS companies from the worst SaaS companies in that context.But maybe I just felt we moved a bit quickly on one big event that’s shaping the software industry, it’s the current crash in private credit. Do you have some thoughts about that? Because what’s happening there is pretty crazy, to be frank. Nuno Goncalves PedroYeah, we’ve seen a lot of these players like KKR and Apollo getting slaughtered. Basically, Blue Owl, TPG, Ares, KKR all fell double this in one day on private credit exposure fears. Overall, Apollo has fell 7% as the date of as we were recording BlackRock, 5%. These guys were walking on water and all of a sudden, there was like, “What happened?” And what happened was private credit exposure. A lot of the concerns in the market is private credit is super sexy, and for those who don’t understand what it means is I’m giving credit to a private company in exchange for something, either warrants in the company or revenue sharing in the future, or I’ll get your revenues in advance from you, or I’ll take, whatever it is. There’s over exposure.There’s this potential logic that all these guys are scaling, all the companies that they give private credit to are scaling. And now there are concerns that there might be some dramatic credit in the market, that some of these companies are actually going to die, they’re going to implode, or they’re not going to really fulfill their covenants in their private credit agreements. Bertrand SchmittIt was hidden in plain sight, but that some of these private credit funds at 25, 35% exposure to software, IT, and SaaS, so a huge chunk in an industry where you bet on the long term revenues and cash flow to pay back your loans, while at the same time there is a discovery that this business may be at risk in the next three, five years or even one year because of AI.I think that was the first big chink in the armor that suddenly the creditworthiness of these companies might not have been evaluated properly. But two, it looks like there is also fraud that has been happening. I was reading stories how three, four people, accounting companies, were valuing and estimating loans for hundreds of SaaS business. Good luck, this is crazy. It looks like there is another layer to that story. Nuno Goncalves PedroWhen there are industries building a lot of wealth or apparent wealth that’s coming a little bit from out of nowhere, the likelihood that there’s fraud and things that were not properly done is, it sadly increases dramatically or exponentially. I think we’re seeing just maybe the first effects of that. Bertrand SchmittI was reading, for instance, that one of these big funds was no haircut across the portfolio, ever seen value that was 100%, whatever. One quarter after that, one of their clients going out of business and they lost everything. In three months, you move from no haircut to 100% haircut, decent enough part of your portfolio. This is crazy for a credit business. Nuno Goncalves PedroIt’s ostrich syndrome. You just put your head under the ground, and you’re like, “Hey, whatever.” I don’t know. Bertrand SchmittYeah, it’s zero mark-to-market in an industry that should be relatively conservative. This is private credit. This is not VC, this is not startup, this is not equity, this is credit, so pretty scary. Another piece was like, some of them were supposedly senior on the debt, but they were not so senior after all, this is insane. You claim seniority, but you don’t have it.My point, I think what’s happening in private credit is maybe it all started with that what’s going on, a lot of software exposure. It’s risky because of AI, but the more investor dig into it, that’s when they started to realize that maybe there is more than just that software issue. I guess, all of this is going to be an issue for software business because if suddenly you cannot get loans anymore or the loans you add, you have to pay them back or when it’s time to pay them off, you cannot renew the loan. There is nobody else to turn yourself to get another loan to replace it. That’s not going to be fun and that’s going to impact your growth rates. That could potentially also even be worse than that, be dramatic for your own business survival. Nuno Goncalves PedroMaybe now switching back to the positive part for the bull case. We think the market’s wrong, not fully, but wrong. The other side is still things move on. We’ve also had the same issues in credits in several industries in the past when markets imploded and credit came back. In some cases, it took a while. In other cases, it came back relatively quickly. One great analogy on making a bull case on why all of this stock that was sold was oversold, there’s too much stock being sold on SaaS and at prices that don’t make any sense is an analogy, precisely, for example, with retail. Amazon was going to destroy everyone their mother in 2010, and it did not. It was going to destroy Walmart. Walmart passed the $1 trillion market cap. Bertrand SchmittNot too bad. Nuno Goncalves PedroSo what happened? They adapted. They had huge advantages. They had huge advantages in terms of their customer base, presence, relationship with their suppliers, with the offerings they had, et cetera. They had huge advantages of economies of scale, and they leverage those advantages. And those advantages ultimately materialized in tremendous increase in revenue, tremendous increase in market capital as well.Amazon has done really well as well. It’s not like Amazon didn’t do well. Again, I think this notion, people sometimes have this difficulty in separating the notion of disruption from the notion of replacement. Disruption doesn’t mean necessarily full replacement. You can disrupt industries, disrupt players in that industry, and still those players will exist 10, 20 years later, and they’ll be much bigger because they adapted. The ones that don’t adapt may be killed.But the disruption doesn’t necessarily mean replacement or killing. It means just that effectively the rules of the game, the business model, which we already talked about, monetization models, the way that capital flows in that industry, et cetera, all of that shifts. It doesn’t mean that necessarily the existing players are not going to exist tomorrow. In some cases, they will exist and they’ll be even stronger tomorrow. Bertrand SchmittI think what’s happening is truly a disruption of the SaaS business model, of the SaaS valuations, of the SaaS analysis, because now you need a new prism to analyze it. What are the markets doing in the meantime? They are just dumping it, waiting for, “Okay, how do we look at it in a different way? Who are going to be the winners and the losers?” For now, we don’t care, they’re all losers. But I think that the next piece of the puzzle for us in this episode, but for the market is, how are we going to separate the wheat from the chaff? Who is going to survive? Who is going to more than just survive? Who is going to thrive in that new industry. Nuno Goncalves PedroThere I feel the ones that survive, there’s a couple of obvious ones we can go into. Two that immediately come to my mind are data infrastructure, the Snowflakes, Databricks of the world, because this is the underpinning of everything that’s happening around AI. I don’t see the data infrastructure fundamentally shifting right now. It might in the future, but right now I don’t see it fundamentally shift. Those guys have, if anything, tailwinds rather than headwinds.Then the other one that’s very obvious to me is cybersecurity, where I think AI is very additive to it rather than just necessarily replacing everything that exists. In some ways, that already been used for a while, certainly by the top players. Definitely, those are two immediate categories and areas that come to mind that have maybe more headwinds and tailwinds where really AI is adding rather than subtracting to it. Bertrand SchmittNo, I totally agree with you concerning data infrastructure, cybersecurity. You could argue if you take cybersecurity, that with the rise of AI attacks, with AI making it easier than ever to generate attacks, you better build up your security. Nuno Goncalves PedroWith AI? No, but you have to have AI on your side defending as well. The only way to defend AI is AI. Bertrand SchmittThat’s my point. Your cybersecurity vendors will become AI-enabled, will leverage AI at scale in order to defend you, else they won’t be able to defend you, just quite frankly. Nuno Goncalves PedroCorrect. Bertrand SchmittThat’s part of the game. Data infrastructure, no questions. Again, I don’t think you want to redo your infrastructure with brand-new tools, brand-new stuff is the current tools are working great and doing the job. Maybe another piece of the puzzle is that vertical SaaS, domain-specific tools, healthcare, manufacturing, if you have proprietary data, regulatory modes, it will be much harder for AI to disrupt quickly. If you are not disrupted quickly, you have more time to readjust your business model, to adjust your business model, to leverage AI to improve your business model.Again, of course, some companies, we have seen with Adobe, for instance, have not proven great skills at adjusting to AI. Not everyone is going to get out as a winner. I think some categories have better chance to actually not just survive, but potentially thrive. Another piece are systems of record. If you are holding proprietary non-scrapable data that AI needs to function, that you have deep switching costs protecting you, you are not going to disappear right away. I think you will probably survive. If you are smart enough, you might be able to even adjust and leverage AI.But I can see some might just stick to their revenues and hold companies hostage and might not innovate a lot. I guess we’ll do well on the short run, but on the medium to long I would definitely more worried. Nuno Goncalves PedroOne point I would like to make is at the end of the day, there’s more than that. The algorithmic methodologies you should use for specific industries, for specific verticals, for specific use cases could vary. We’re still very early in a lot of the application of some of these AI methodologies. We’re not early in the development of the research around them. They’ve been around for decades, but the application of them is still relatively early. I think that’s one of the advantages why vertical SaaS companies and vertical SaaS solutions right now might have an advantage, because the domain in which you’re operating, even algorithmically, is actually different, and you need to really right purpose it for those environments and for those domains.For me, that’s an important point to make. It’s not just any vertical SaaS. I think vertical SaaS, where there’s algorithmic distinctiveness, definitely has a shot at it. Other might not. We just saw a lot of discussions around legal tech and how legal tech got slaughtered with the launch of Claude Cowork, for example. Definitely, it will depend a little bit on the verticals. Bertrand SchmittTake the legal side. There has been some interesting decision recently where basically, if you use AI for legal advice, then this data, this discussion is not privileged. You are at big risk of discovery. There is a lot of issues that if you are working with real lawyers, will not be there. Your data is not discoverable, your discussion stay private, so it cannot be used against you. I think companies have to be very careful and very worried about how some of these tools are being used because it’s creating new risk. Some of these tools are not going to get privileged in the coming few months, I don’t think so.You could argue most of these companies in the first place claim a right to access your data and leverage it. I think that even in legal, it would be interesting to see how it evolved. AI will be able to claim some privilege at some point? Maybe, I don’t know. But on the short run, I can imagine how the legal profession, for instance, will not let it happen too quickly, and how you have to be very careful. It’s great to move fast, but you have to be careful with what is it that you are getting into. Nuno Goncalves PedroLet me guess, the last company you’re going to say or the last type of companies that you’re going to say are like the survive, thrive are AI-first or AI-native companies. Is that correct? Bertrand SchmittYeah, I guess. Yes. They are going to be less disrupted by AI, given that they’re already AI native. Nuno Goncalves PedroThey are AI. Bertrand SchmittWe are going into another territory. Even if you are AI-native, are you going to still get killed by Claude because you don’t have enough technology or ChatGPT because you don’t have enough technology? You are just that basic rapper around another AI tools. Here my perspective and what I share more and more with some entrepreneurs is you have to be careful if you are just an AI native company, but ultimately you are a very AI light in the sense that, yes, you are a native, but you are just reusing other LLMs and stuff, and you have not built any proprietary tech or moat with your data or in your industry. That’s going to be trouble. That’s going to be trouble.I’m not sure the market discriminated well enough at this stage, but I think there will be quickly some premium around, have you built a real technology mode? Are you really in such a situation that you are not going to get killed by a Claude or ChatGPT in a few weeks? I think there will be some discrimination that’s going to happen. Ai native won’t be enough to save you, basically. Nuno Goncalves PedroI think there’s one thing. One is what you’re saying. Is there fundamental technology differentiation and/or product differentiation that will sustain itself as a moat? The second thing is, even if it’s an AI app at a higher level, the reality is the guys that are in the market today, the OpenAIs, the Googles, the Anthropics, etc., they’re not going to address all use cases. There are places where some use cases will still exist. We saw that in the mobile app economy.In some of these use cases, you’d be like, why hasn’t, for example, Apple addressed the need for this kind of solution, whatever, and maybe it took them a decade to do it. Then, when they did it, they almost killed the market. But you have some of these AI apps that I think will still be in the market that will emerge and will address use cases that for some time, for some reason, OpenAI, Anthropic, etc., won’t go after. To Bertrand’s point, and I think importantly, if you’re an entrepreneur, if you’re writing on a very specific use case, and there’s seemingly a high likelihood that any of these players are going to address at some point, you’re not in a sustainable place. You’re not going to be around very long. Bertrand SchmittOr you have to take that initial leadership position and transform it into a deeper technology mode, a business mode. You have to leverage that first mover advantage, maybe, to something deeper than that, something more defensible. Maybe you pivot also in term of industry. You started in industry A, but you realize industry B is really the good one. You have to really optimize your way and not take anything for granted. Nuno Goncalves PedroBertrand, do you remember when it’s like every release of iOS and whatever, we were like, what industry is Apple going to kill now? What are they integrating? There was a period of time where it was literally like every big release, every major release, the yearly one, you’d be like, what industry are they going to kill now? Bertrand SchmittTotally. Totally. I think the same is happening. Definitely, we say AI, but I think some players have been smart enough to zigzag around that onslaught from Apple, from Google. But some will stay put. We think it’s not going to happen to them. Yes, they got into trouble pretty quickly. I think also what we have seen is that a lot of value could be from players who are simply more neutral and independent vis-à-vis a platform. If you need someone in the middle, your three or four mobile platform, or now your three or four LLMs or AI platforms, there might be value you can extract because companies are not… That’s another piece of the puzzle.You don’t want to just depend on Claude. You don’t know in three months, ChatGPT has a better model. You will want to make sure that whatever you are running can adjust to a change of LLM providers, for instance, or tool providers. I think, for instance, one position could be that mutual player, the one gives you the ability to adjust quickly to different technical AI development. We will see. But I think there are different strategies you can go through to make sure you end up not being killed, and that will require smart entrepreneurs. Nuno Goncalves PedroSeparating The Wheat From The Chaff — Who Survives?We talked about who survives, who doesn’t survive. Let me start with one. Or where I think will be categories that will be incredibly under attack, so a lot of players, I think, will disappear or will become very, very small. One obvious for me is anything that relates to the small, medium business markets, so very SMB-focused SaaS, a lot of regional SaaS stuff that has emerged, copycatting in certain markets because the larger players didn’t want to expand in some of those markets.I think a lot of that stuff gets just replaced because a lot of the SMB markets are price sensitive. A lot of these markets are also best effort-driven. It’s like it doesn’t need to be perfect, it just needs to do the basic stuff. Therefore, I see that market as a market that’s going to get, in all honesty, over the next 3-5 years, slaughtered. It’s not going to be rapid death, but some of them are just going to be totally replaced. Bertrand SchmittI agree with you. If you don’t have a big enough moat, if it’s very shallow, if your clients are moving quickly, you can easily switch based on a small price difference. That’s definitely trouble. Nuno Goncalves PedroI’ll let an anecdote just so people I don’t understand. Because people say, but these regional SaaS solutions normally because of their specificities to the markets and stuff like that, whatever. I literally drafted the other day an agreement, a semi-agreement relating to Portuguese law on Claude in Portuguese, from Portugal, not Brazil and Portuguese. It drafted an agreement from scratch based on my prompting, and it took into account specificities of the Portuguese legal system and taxation. Guys, it’s like, this is a freaking consumer tool. Localization of what? The tax regime and whatever? Who gives a shit? It’s like, again, I think that’s the market that definitely will get a pretty significant beating. Bertrand SchmittAnother market for me, we talk about Adobe, but content creation tools. Here, I think there is a dramatic shift in how you use them. Before you use another Photoshop to replace something in a picture, change a slightly picture stuff. Now, you just say, hey, remove this guy from the picture. Hey, replace. Hey, create that picture from scratch. I have five photo IDs, put these guys in context, put them in your meeting room, and go for it. This is such transformational versus how you used to work before that I think some of this industry is getting destroyed.There will be simply no point of using these tools anymore because something else is just 10X better. That is not even a question. You could argue there is still a niche of professionals doing stuff in an always because it guarantees a bit more higher quality or this or that. Sure. But overall, this is getting disrupted big time and the much bigger business might be totally new and totally AI native. Nuno Goncalves PedroI will do a parochial comment. We have two investments in the content creation space, one more on the marketing side and the other one more on the hardcore content creation side. They’re both AI from inception, so they’re both AI native. One of them is called LetsEnhance, the other one is called blaze.ai. I feel it’s true that there’s going to be a lot of replacement of some of the content creation tools in certain markets like consumer and prosumer, driven by the Nano Bananas of the world and all that stuff.But on the top end and in enterprise and all that stuff, we feel that AI native content creation tools are there to be. It’s actually one of the areas of what I would call use cases or AI apps/platforms where I feel being AI native will give you an advantage. Just being a cross-cut play around the market being Anthropic or OpenAI, whatever, actually won’t solve the problem for some of the markets that need to be served in. Bertrand SchmittMakes sense. I agree with you. Maybe more quickly, some point solutions, relatively high risk. If you have a single function tool, then could be easily replaced potentially by an AI agent. We already talk about it. If you are too SMB-focused, that’s not the best segment of the market, typically. Maybe you can have a single test to check if that company is at risk. If you were to replace that tool, can a $20 a month AI agent do this task? If switch it cost are low, then maybe that’s not a good business opportunity. Maybe you should not invest, or you should sell the stock.Again, maybe you have to focus more on regulated niches, hardware dependent, critical private data, solutions where there is already outcome or value-based pricing in place. You have to put some rules and analysis to help you understand, is this business at risk of significant disruption or not? Not all business are the same. As an investor, that might mean that there would be some good opportunities. SaaS businesses that are going to emerge even stronger right now are at a cheap discount. Nuno Goncalves PedroAbsolutely. I think at the end of the day, certain basic workflow tools that are out there to simplify CRM, some very basic ERP modules, anything that’s very, very simple in terms of if this then that, all those tools are also going to be slaughtered relatively soon, sadly. If you’re in that space, maybe time, as Bertrand was saying earlier, to pivot, to go after some fundamental differentiation, or to do something else. You want to conclude, Bertrand? Bertrand SchmittConclusionSure. I guess we could see that from a trade perspective, from an investor perspective. I think it’s creating quite genuinely some opportunities. Some stocks are in the bargain, some of those are value traps, so you better get your investment skills in order. PE, private credit, definitely a lot of risk, not just from AI, I think from basic fraud as well.Secondary market, as you just say, it’s not an easy one. It’s a canary in the coal mine. I think you will agree, but this is before getting between AI native versus everything else these days, especially if you are more early stage. A more established business, it’s a different thing. But right now, just starting a regular SaaS company, that’s a tough one. From an investor perspective, you need to pivot as fast as you can from seed-based pricing, hybrid, outcome-based, value-based pricing. You have to do the move quickly. You don’t want to be pushed when it’s too late.Build-versus-buy is real, and that will only accelerate as coding agents mature. Vertical specialization, proprietary data are strong moat. They were before as well, so it’s nothing new. But I think the importance of having a true moat is more critical than ever. Lots of companies have received investment with not enough moat, and that’s the one getting destroyed in the private and public market. If you have strong matrix, there is a question of when is a good time to exit? I don’t know if the relations will ever come back. I think it truly depends as well on your business, a strategic fit with acquisition opportunities.Anecdotally, I have seen some businesses who look at exit opportunities and now are finding attractive options. It’s not all that dark, I would say. Maybe to answer to the question, do we have a SaaS apocalypse? Yes and no. Some companies are going to end badly, some companies are going to emerge stronger. I think that’s it for today. Thank you, Nino. Nuno Goncalves PedroThank you, Bertrand.

Alle Neuigkeiten & Insights erfolgreicher Trusted Advisor findest du in unserem Scaling Hub: https://hub.scaling-champions.com/Wer nur das baut, was der Kunde sich mühsam selbst überlegt, bleibt für immer die austauschbare verlängerte Werkbank.Nach der Folge könnt ihr eure Expertenorganisation gezielter aus der Stagnation führen und versteht, warum echte Skalierung erst durch die Abstraktion vom Einzelkunden entsteht. Ihr lernt, wie ihr den Mut aufbringt, Ausschreibungen zurückzuweisen, um stattdessen eine Partnerschaft auf Augenhöhe zu etablieren. Zudem nehmt ihr mit, wie ihr eure Mannschaft für eine radikale Transformation begeistert, indem ihr die Sehnsucht nach einem neuen Zielbild weckt.Carsten Müller bringt über 30 Jahre Erfahrung im Software-Business mit und hat als Geschäftsführer der Service One GmbH bewiesen, wie man ein traditionelles 100-Personen-Unternehmen innerhalb von drei Jahren komplett neu positioniert.In diesem Gespräch erfahrt ihr:Warum der Fokus auf den Gesamtmarkt statt auf Einzelprojekte euer Unternehmen transformieren wird.Wie ihr im Field Service Management vom reinen Werkzeuglieferanten zum strategischen Vordenker werdet.Weshalb Transparenz und ein 14-tägiger Company Call das Fundament für Vertrauen nach innen bilden.Warum die Trusted Advisor Strategie erfordert, dass ihr eure Prozesse für den Kunden voraudenkt.Wie ihr mit eigenen Events wie der „Service Next“ eine Community aufbaut, die eure Marktführerschaft festigt.Die überraschende Erkenntnis, warum ungeduldige „Big Bang“-Releases manchmal eine bewusste Pause brauchen, um die Qualität zu sichern.Hört jetzt rein und erfahrt, wie ihr den Kippschalter für eure eigene Transformation umlegt – abonniert den Scaling Champions Podcast in eurer Podcast-App, um keine Folge für euer Wachstum zu verpassen.Melde dich KOSTENFREI für unsere nächste Webinarreihe an: https://hub.scaling-champions.com/webinareWeitere Trusted Advisor Inhalte findest du auf YouTube:https://www.youtube.com/@scalingchampionsDu hast Fragen, Anregungen oder Kritik? Dann kontaktiere uns hier:WhatsApp0162 674 417Mailpodcast@scaling-champions.comLinkedInEric Osselmann Johannes Rasch Lasst uns gerne ein Abo hier und bewertet uns!

In this week's episode of WSJ's Take On the Week, co-host Miriam Gottfried and guest host Dan Gallagher, a tech columnist for Heard on the Street, chat with Jefferies software analyst Brent Thill about the recent turbulence in the business software market. They talk about the growing fears that AI will replace the need for traditional software-as-a-service, or SaaS, platforms like Intuit, Salesforce, and Workday. They analyze how the narrative around AI "vibe coding"—where businesses generate their own apps using simple text prompts—has led to a sharp selloff in cloud software stocks. They also note other factors weighing on the sector, including tech layoffs and the shift away from seat-based software pricing models and toward consumption-based metrics. After the break, Thill explains why he thinks the market's fears over AI disrupting major enterprise software are overblown. They explore why large companies won't trust AI with critical systems for payroll, accounting or taxes. Then Thill makes the case for why AI infrastructure and security companies remain safe bets, and why the current tech selloff and depressed valuations are setting the stage for a massive tech M&A boom driven by private-equity firms. This is WSJ's Take On the Week where co-hosts Telis Demos, Heard on the Street's banking and money columnist, and Miriam Gottfried, WSJ's investing and wealth management reporter, cut through the noise and dive into markets, the economy and finance—the big trades, key players and business news ahead. Have an idea for a future guest or episode? How can we better help you take on the week? We'd love to hear from you. Email the show at takeontheweek@wsj.com. To watch the video version of this episode, visit our WSJ Podcasts YouTube channel or the video page of WSJ.com Further Reading Threat of New AI Tools Wipes $300 Billion Off Software and Data Stocks AI Won't Kill the Software Business, Just Its Growth Story What You Need to Know About the AI Models Rattling Markets Meta Overshadows Microsoft by Showing AI Payoff in Ad Business Thoma Bravo's $34 Billion Fundraising Haul Bucks Private-Equity Slowdown IBM Strikes $11 Billion Deal for Confluent For more coverage of the markets and your investments, head to WSJ.com, WSJ's Heard on The Street Column, and WSJ's Live Markets blog. Sign up for the WSJ's free Markets A.M. newsletter.  Follow Miriam Gottfried here and Telis Demos here.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this week's episode of WSJ's Take On the Week, our hosts Telis Demos and Miriam Gottfried get into why the market still hasn't made up its mind on Kevin Warsh's nomination as the Federal Reserve chair, and why gold and silver trades fell on the news. Then Telis says he'll be looking at Coinbase and Robinhood's earnings this week to help make sense of bitcoin's falling value. Our hosts then break down the software selloff that followed Anthropic's release of new legal tools. After the break, Miriam is joined by Hemant Taneja, CEO of General Catalyst, at WSJ Invest Live. They discuss his investment philosophy in the age of AI. Taneja explains why he waited for a $60 billion valuation to invest in Anthropic and shares his view on why market bubbles can actually be a force for good. He also provides his view on how AI and robotics could challenge every human skill within the next 20 to 30 years. This is WSJ's Take On the Week where co-hosts Telis Demos, Heard on the Street's banking and money columnist, and Miriam Gottfried, WSJ's private equity reporter, cut through the noise and dive into markets, the economy and finance—the big trades, key players and business news ahead. Have an idea for a future guest or episode? How can we better help you take on the week? We'd love to hear from you. Email the show at takeontheweek@wsj.com. To watch the video version of this episode, visit our WSJ Podcasts YouTube channel or the video page of WSJ.com Further Reading Saying You Want to Shrink the Fed Is One Thing. Doing It Is Another. Wall Street Can't Decide Whether Kevin Warsh Will Be a Friend or Foe Threat of New AI Tools Wipes $300 Billion Off Software and Data Stocks AI Won't Kill the Software Business, Just Its Growth Story The Week Anthropic Tanked the Market and Pulled Ahead of Its Rivals For more coverage of the markets and your investments, head to WSJ.com, WSJ's Heard on The Street Column, and WSJ's Live Markets blog. Sign up for the WSJ's free Markets A.M. newsletter.  Follow Miriam Gottfried here and Telis Demos here.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Alphabet earnings. Claude goes to the Superbowl. Why AI brand loyalty isn't even remotely a thing yet. And is the whole Marc Andreessen theory of software eating the world in the process of being eaten by AI? Wall Street is worried about that very scenario. Google set to double AI spending to $185bn after strong earnings (FT) OpenAI Frontier is a single platform to control your AI agents (The Verge) Anthropic says ‘Claude will remain ad-free,' unlike ChatGPT (The Verge) Microsoft's Pivotal AI Product Is Running Into Big Problems (WSJ) New Data: OpenAI's Lead Is Contracting as AI Competition Intensifies (Big Technology) Threat of New AI Tools Wipes $300 Billion Off Software and Data Stocks (WSJ) AI Won't Kill the Software Business, Just Its Growth Story (WSJ) Learn more about your ad choices. Visit megaphone.fm/adchoices

Sign up to Revolut Business at https://www.revolut.com/rb/james/ before 31st March 2026 and add money to your account to receive a £200 welcome bonus. Fees, Promotion terms and Business T&Cs apply.Find out more from Richard here: www.yammayap.comTry Entrepreneurs University 14 Day FREE Trial Here ►https://jamessinclair.net/entrepreneurs-university-free-trial/Sign up to my weekly newsletter 'The James Sinclair Letter' here:https://www.jamessinclair.net/the-letterFind out your Entreprenurial DNA, take the '8 Traits of the Greats' quiz here ► https://jamessinclair.scoreapp.comGet your tickets to our next event here ► https://www.jamessinclair.net/eventsApply to be on my podcast here ►https://jamessinclair.net/podcasts/

Tobias Ragge führt das Kölner Familienunternehmen in zweiter Generation. Unter seiner Führung hat sich HRS vom Reisebuchungsportal zum Software-Business für Großkunden wie Siemens, Google oder Airbus entwickelt. Im OMR Podcast spricht der CEO darüber, warum die Positionierung in der Nische notwendig war, was ihn antreibt und teilt persönliche Produktivitätshacks.

When you build a software business as a founder, you have a dream. Building. Features. APIs. UIs.But how much of that is JUST a dream, and what REALLY leads to paying customers?This episode of The Bootstraped Founder is sponsored by Paddle.comYou'll find the Black Friday Guide here: https://www.paddle.com/learn/grow-beyond-black-fridayThe blog post: https://thebootstrappedfounder.com/the-things-your-customers-dont-care-about/The podcast episode: https://tbf.fm/episodes/422-the-things-your-customers-dont-care-aboutCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

In this episode of Business Ninjas, Andrew Lippman sits down with Kristin McLane, President of CIMx Software, to talk about three decades of transforming how manufacturers build, track, and deliver products. Since 1996, CIMx has been helping manufacturers modernize production processes, eliminate paper-based workflows, and gain visibility across the shop floor with their advanced Manufacturing Execution System (MES) solutions.Kristin shares how CIMx empowers manufacturers to gain full control of production data, reduce waste, and boost throughput through real-time insights. By focusing on adaptability and customer support, CIMx has become the trusted partner for complex manufacturing operations—from aerospace and defense to medical devices and electronics. The company's flagship platform, Quantum, bridges the gap between production and performance, helping teams make better decisions faster.If your business is ready to streamline operations, enhance traceability, and future-proof your manufacturing, this conversation is a must-listen.

The brutal truth about SaaS nobody tells you.Here's the thing: I'm about to share all the reasons why you should never, ever start a software business. And yes, I'm fully aware that I'm talking to an audience of software founders. This is somewhat sarcastic, somewhat ironic twist on the great things about entrepreneurship. And the problems you'll face.This episode of The Bootstraped Founder is sponsored by Paddle.comYou'll find the Black Friday Guide here: https://www.paddle.com/learn/grow-beyond-black-fridayThe blog post: https://thebootstrappedfounder.com/why-you-should-never-start-a-software-business/The podcast episode: https://tbf.fm/episodes/421-why-you-should-never-start-a-software-businessCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Cameron Zoub is the Co-founder and CGO of Whop. Whop is a social commerce platform designed for creators, entrepreneurs, and small businesses to build, market, and sell products online. Whop is backed by Peter Thiel, Kevin O'leary and Cory Levy. Build apps with Whop - https://docs.whop.com/apps/introduction/?a=thebrettway Launch your business on Whop today - https://whop.com/sell/?a=thebrettway Guest: Cameron Zoub Twitter - https://x.com/czoob3 Instagram - https://www.instagram.com/camzoub/?hl=en Timestamps 0:00 finding an Idea 2:30 Finding a partner 4:58 Building your MVP 7:10 Getting your first users 19:55 Guerilla sales tactics 23:26 When to raise money and why 29:11 Scaling to $100M in revenue 37:44 Habits, routine and health 44:58 Mentality of moving fast 47:38 What drives you to go through pain 57:59 Intuition and spirituality in business

As I'm building yet another software service business after having built and sold one back in 2019, I keep wrestling with a fundamental question that might sound simple but has profound implications: What do I actually own in this business?This episode of The Bootstraped Founder is sponsored by Paddle.comThe blog post: https://thebootstrappedfounder.com/the-ownership-paradox-what-do-you-really-control-in-your-software-business/The podcast episode: https://tbf.fm/episodes/416-the-ownership-paradox-what-do-you-really-control-in-your-software-businessCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Choosing the wrong payment processor for your software business can quietly stall your growth. Hidden fees, messy integrations, compliance issues, and missing growth tools usually show up only after you're...

Nathan Blecharczyk, co-founder of Airbnb, built his first software business as a teenager, earning nearly a million dollars before shutting it down to attend Harvard. Years later, Nathan and his roommates turned an air mattress idea into Airbnb, facing investor rejection, financial hardship, and moments when quitting seemed inevitable. From creating satirical cereal boxes to joining Y Combinator after a near-failed interview, Nathan's story is one of perseverance and resilience. He shares how Airbnb overcame early struggles, scaled globally, and survived COVID-19 to go public successfully. Nathan Blecharczyk is the co-founder and Chief Strategy Officer of Airbnb, where he helped grow the platform from a spare air mattress idea to a $75 billion global travel company. According to Forbes, he is one of the richest people in the world, with a net worth of $9 billion. In this episode, Ilana and Nathan will discuss: (00:00) Introduction (01:36) Building a Software Business as a Teen (05:28) Harvard, First Job, and the Decision to Move West (11:58) The Birth of AirBed & Breakfast (15:07) Landing Their  First Guests and Gaining Early Validation (18:03) Investor Rejection and the Obama O's Cereal Stunt (30:45) Applying to Y Combinator and Getting In (36:29) Finding Evangelists and Meeting Hosts in New York (42:34) From $200 a Week to $4,200: Airbnb's First Growth Curve (44:59) Global Expansion, Competitors, and Building Teams Abroad (52:22) The 2020 Crisis: COVID, Collapse, and Reinvention (59:21) The Future of Travel  Nathan Blecharczyk is the co-founder and Chief Strategy Officer of Airbnb, where he helped grow the platform from a spare air mattress idea to a $75 billion global travel company. A Harvard graduate and self-taught programmer, Nathan has been instrumental in Airbnb's international expansion and strategy, navigating challenges from investor rejection to the COVID-19 crisis. According to Forbes, he is one of the richest people in the world, with a net worth of $9 billion. Connect with Nathan: Nathan's LinkedIn: ⁠https://www.linkedin.com/in/blecharczyk⁠ Airbnb's Website: ⁠https://www.airbnb.com⁠ Resources Mentioned: Y Combinator: ⁠https://www.ycombinator.com⁠ Only the Paranoid Survive by Andy Grove: ⁠https://www.amazon.com/Only-Paranoid-Survive-Exploit-Challenge/dp/0385483821⁠ Leap Academy: Ready to make the LEAP in your career? There is a NEW WAY for professionals to fast-track their careers and leap to bigger opportunities. Reserve your 24-HOUR PASS today at ⁠https://webinar.leapacademy.com/24hr-pass1

In this episode, we explore 10 reasons your HR consulting, workplace, or HR software business should start a podcast. You'll hear practical strategies for HR consultants, workplace consultants, L&D and OD experts, recruitment firms, and HR software founders who want to attract clients, win contracts, and stand out in a competitive market. Whether you run a consulting practice or a tech platform, podcasting can help you build authority, connect with decision makers, and create a consistent stream of new opportunities. FYI – For us, the Human Resources industry includes Generalist HR, Recruitment, Learning & Development, Employment Law, Compensation & Benefits, Diversity & Inclusion, Employee Engagement, etc. ✅ Why podcasting helps you attract consulting and HR software clients faster than traditional marketing ✅ How a podcast builds authority and trust in your niche (HR, workplace, or software) ✅ 10 practical, proven reasons podcasting is a powerful growth tool for your business You can also watch a video version and read the notes for this episode here: www.getmorehrclients.com/podcast 

Today I'll be talking about a successful marketing project within my software business that turned out to be so successful that it spawned a business built on top of that business.This episode of The Bootstraped Founder is sponsored by Paddle.comThe blog post: https://thebootstrappedfounder.com/the-podscan-ideas-vault-engineering-as-marketing/ The podcast episode: https://tbf.fm/episodes/408-the-podscan-ideas-vault-engineering-as-marketingCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

In this episode, I was lucky enough to interview Paul Byrne, President of Razoyo, a Texas-based custom software development company. Paul shared how growing up in an entrepreneurial family in Wichita, Kansas—where his mom ran a fabric shop and his dad tinkered with tech ventures—planted the seeds for his own journey. We discussed how the concept of entrepreneurship has evolved from packing circuit boards around kitchen tables to building viral businesses on TikTok, like his daughter recently did. Paul also highlighted how today's lower barriers to entry create exciting possibilities for aspiring founders, especially those balancing family and other commitments.Paul also walked us through the early days of Razoyo, from helping transform a data-entry business to landing eBay as one of their first clients. He explained how the company now specializes in rescuing struggling software systems, refining prototypes, and building scalable custom applications. Referrals and platform partnerships drive most of Razoyo's business, and Paul emphasized the importance of nurturing relationships with strategic partners over time. He also shared advice for entrepreneurs on choosing a niche—even in unfamiliar industries—by being curious, asking the right questions, and embracing discomfort. Discover Paul Byrne's story of quiet grit, clever pivots, and building Razoyo from the ground up in this episode of The First Customer!Guest Info:Razoyohttp://razoyo.comPaul Byrne's LinkedInhttps://www.linkedin.com/in/pwbyrne/Want to be a guest on The First Customer? Send Jay Aigner a message on PodMatch here.Connect with Jay on LinkedInhttps://www.linkedin.com/in/jayaigner/The First Customer Youtube Channelhttps://www.youtube.com/@thefirstcustomerpodcastThe First Customer podcast websitehttps://www.firstcustomerpodcast.comFollow The First Customer on LinkedInhttp://www.linkedin.com/company/the-first-customer-podcast/

In this conversation with Weston Hill of Ceo The Tax Biz shows interested individuals how to start their own tax business. He started out generating a quarter million under mentorship for only a portion of the profits. Then he moved on to his own tax business and generated the same at a full profit. Business has gone up from there. Not only does his business provide tax services but they also teach others how to do the same.Subscribe to the Social Proof Podcast:Apple Podcasts: https://podcasts.apple.com/us/podcast...Spotify: https://open.spotify.com/show/6GT6Vgj...

Brian Forbis is the CEO and president of Blood Bank Computer Systems, Inc. (BBCS), a business his mother created in the 1980s to serve the non-profit blood bank industry in the US. Brian started in sales, then transitioned to run development, and assumed the role of CEO in 2019 when he bought the company.  BBCS rebuilt its entire mission-critical ERP software as a modern cloud solution over the last five years and is actively converting customers from legacy on-premise systems. With 40 employees and nearly $10 million in revenue, BBCS serves the blood banks that supply 20% of the blood products in the U.S. Their industry presents numerous unique challenges, including negotiating co-op pricing, complying with FDA regulations, and managing partner-based relationships with customers. Brian is running this as a private, long-term business that will support the important blood bank industry for decades to come. Quote from Brian Forbis, CEO and president of BBCS “We don't have churn in customers, and we don't have churn in employees either. The people we attract to our blood bank software business really get bought in that we're helping people. We tell our team that you are affecting the lives of tens of thousands of people every day “There's a reason we're regulated because we make decisions on the safety and efficacy of blood. And that's a big deal. We're committed to what we're doing. We build a key component of saving lives. “I drive that home every time I can talk about it. Making quality personal is one of our key values that we emphasize and discuss frequently.” Links Brian Forbis on LinkedIn BBCS on LinkedIn BBCS (Blood Bank Computer Systems) website The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com.

Vova Feldman is the founder of Freemius, a Merchant of Record payment provider. He's been at it for a while, and it wasn't always easy. Vova shares his approach to weathering the highs and lows of entrepreneurship, how to build a team (and mis-hires), and what operating in the payment industry means for a crafty founder.The blog post: https://thebootstrappedfounder.com/vova-feldman-mastering-entrepreneurship-in-the-payments-sector/ The podcast episode: https://tbf.fm/episodes/401-vova-feldman-mastering-entrepreneurship-in-the-payments-sectorCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Recorded live at Sequoia's AI Ascent 2025: Sierra co-founder Bret Taylor discusses why AI is driving a fundamental shift from subscription-based pricing to outcomes-based models. Learn why this transition is harder for incumbents than startups, why applied AI and vertical specialization represent the biggest opportunities for entrepreneurs and how to position your AI company for success in this new paradigm.

Today we are breaking down the work management software platform monday.com. Founded in February 2012, today monday.com has a market cap of over $14 billion. The platform has transformed a simple task management tool to a versatile platform serving numerous industries and use cases.  I am joined by Ben Hensman, Portfolio Manager of the Global Tech Fund at Square Peg. He takes us through the story of monday.com and how they emerged as a winner amidst plenty of competition. There are critical lessons to be learned from its successful expansion into larger enterprise markets. We cover its impressive financial growth, innovative architectural design, and a move into AI. Please enjoy this breakdown of monday.com. ⁠Subscribe⁠ to Colossus Review For the full show notes, transcript, and links to the best content to learn more, check out the episode page ⁠here⁠. —- Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit⁠ joincolossus.com/episodes⁠. Editing and post-production work for this episode was provided by The Podcast Consultant (⁠https://thepodcastconsultant.com⁠). Show Notes (00:00:00) Introduction to monday.com (00:01:35) The Origin Story of monday.com (00:02:30) Early Growth and Success (00:02:57) Product Flexibility and Customer Use Cases (00:05:14) Transparency, Trust, and Efficiency (00:12:19) Customer Success Stories (00:16:00) Expanding into Larger Enterprises (00:19:12) Innovative Database Architecture (00:24:11) Sales and Go-to-Market Strategies (00:36:14) Partner Program and Sales Models (00:38:46) Net Dollar Retention Trends (00:44:54) AI's Impact on monday.com (00:54:40) Financial Performance and Margins (01:03:22) Market Opportunity and Competitive Landscape (01:07:30) Valuation and Future Prospects (01:12:37) Lessons from monday.com

Find out more from Chris here: www.motmanager.co.ukSign up to my weekly newsletter 'The James Sinclair Letter' here: https://www.jamessinclair.net/the-letterFind out your Entreprenurial DNA, take the '8 Traits of the Greats' quiz here ► https://jamessinclair.scoreapp.comGet your tickets to our next event here ► https://www.jamessinclair.net/eventsApply to be on my podcast here ► https://jamessinclair.net/podcasts/My Socials:

If you're still handling repetitive marketing tasks manually, you're not just wasting valuable time – you're actively taking hours away from product development, feature improvements, and the core work that...

Today I'm joined by Laura Sprinkle for a live coaching session on scaling her new affiliate-tracking SaaS, Rootabl, from $5,000 MRR to $25,000 MRR while maintaining the flexibility and freedom she values. Laura has deep expertise in affiliate launches and is now shifting into the software world - facing new challenges like churn, onboarding friction, and deciding which features to build first.We map out her next steps - from clarifying her ideal target customer and harnessing personal branding for trust, to using direct outreach as a repeatable engine for sustainable growth. You'll learn why concierge migrations can be a secret weapon, how to choose the right community integrations, and why narrowing your audience often leads to better results.Timestamps:00:00 Introduction01:14 Why Creator-Led SaaS Is Harder (Yet More Rewarding)02:39 How Laura Reached $5K MRR07:36 Tackling Churn and Onboarding Friction11:29 Using Personal Branding to Increase Conversions14:55 The Direct Sales Flywheel Explained19:48 Turning “Concierge Migrations” into a Competitive Advantage30:57 Choosing Your Integrations Wisely31:24 New Features vs. Doubling Down on Existing Ones37:17 Reducing Churn40:16 Narrowing Your Customer Profile for Faster Growth45:45 Using Outreach to Drive Predictable Revenue47:11 Introducing Tiered Pricing for Expansion50:26 Tracking Progress & Staying Focused51:52 The Power of Iteration in SaaS Growth01:02:54 Closing ThoughtsIf you enjoyed this episode, please like and subscribe, share it with your friends, and leave us a review. We read every single one.Learn more about The Nathan Barry Show: https://nathanbarry.com/show Follow Nathan:Instagram: https://www.instagram.com/nathanbarry/LinkedIn: https://www.linkedin.com/in/nathanbarry/ X: https://x.com/nathanbarry YouTube: https://www.youtube.com/@thenathanbarryshow Website: https://nathanbarry.com Follow Laura:Website - https://laurasprinkle.com/ Rootabl (10% discount) - https://rootabl.com/special-offer/ Instagram - https://www.instagram.com/imlaurasprinkle/ Linkedin - https://www.linkedin.com/in/imlaurasprinkle/ Featured in this episode:- Rootabl: https://rootabl.com - Kit: https://kit.com - Mighty Networks: https://www.mightynetworks.com

In this episode, Will and Christy discuss getting past perfectionism and give their Somewhat Useful tips. Then they talk with Weglot CMO Eugène Ernoult about the company's innovative translation solution. You'll hear about Eugène's journey into marketing and his transition from being a founder to working at a startup. He shares Weglot's business practices around employee wellbeing and the environment, as well as insights on revamping marketing strategies to better engage customers. He offers valuable advice for freelancers, stressing the importance of focusing on a niche and staying customer-focused. The discussion also touches on the role and limitations of AI in marketing and translation services.  Links: The Profitable Web Designer podcast: https://webdesigneracademy.com/profitable-web-designer-podcast/ ahrefs: https://ahrefs.com/  Follow: ⁠⁠Follow Christy on Instagram⁠⁠ ⁠⁠Follow Will on Instagram⁠⁠ ⁠⁠Sign up for Will's Newsletter⁠⁠ ⁠⁠Sign up for Christy's Newsletter⁠

In this episode of the Canary Cast, Florian Hagenbuch, co-founder and partner at Canary, sits down with Christophe Gerlach, co-founder and CEO of Comp, a new kind of HR Tech that is rethinking the way businesses approach their total compensation strategies.From the origins of his entrepreneurial journey alongside Pedro Bobrow—delivering açaí to college students—to pioneering a "Service-as-a-Software" business model that leverages the combination of AI and human expertise, Chris shares details of his story and his vision for Comp's future. During the episode, he also reflects on the importance of thoughtful experimentation, building strategic trust when entering a new market, and the powerful impact of an intentional company culture.In this episode, we dive into: How Comp is helping companies be more strategic about every cent invested in labor costs Pioneering the "Service-as-a-Software" Business Model: How Comp is disrupting traditional compensation consultants and building the company at the intersection of technology and human expertise, where AI supports senior compensation executives to deliver personalized, effective solutions Comp’s approach to working closely with CEOs, CFOs, and CHROs to strategically manage compensation decisions during periods of expansion, restructuring, or business strategy shifts. Lessons learned about building a lean, high-performance team and why hiring A+ talent makes all the difference. Exceptionally, this episode was recorded in English, but we included a translated transcription below in the description of the episode. Whether you're a founder, business leader, HR professional, or just passionate about innovation, this episode is packed with insights at the forefront of compensation strategy and business-building. Tune in now to hear how Comp is not only solving today’s compensation challenges but also defining a new category in the HR landscape for the future. Guest:Christophe Gerlach Christophe Gerlach is the co-founder and CEO of Comp. Christophe graduated in Applied Economics and Management from Cornell University, where he met Pedro Bobrow. Together, they first founded Suna and are now building Comp. The company raised $4 million in a Seed round led by Kaszek, with participation from Canary, Norte, and 1616 funds, as well as 40 angel investors who are also executives from American companies and Brazilian startups such as Nubank, Creditas, and Caju. Follow Chris on LinkedIn Host: Florian Hagenbuch Florian is the co-founder and General Partner at Canary, a leading early-stage investment firm in Brazil and Latin America. Canary has invested in more than 100 companies since its founding in 2017. Previously, Florian founded Loft, a company that digitized and transformed the home buying experience in Brazil, bringing transparency, liquidity, and credit to millions of Brazilians. Before that, Florian also co-founded Printi, the leading online printing marketplace in Latin America. Follow Florian on LinkedIn Highlights: 00:00 - Opening01:50 - Personal Journey and the Beginning of Chris and Pedro's Partnership03:07 - Starting a Food Delivery Business in College07:25 - Transition to HR Tech and General Atlantic Experience08:37 - Labor Cost Challenges and Finding a thesis11:48 - Founding Comp and Initial Product Development13:30 - Comp's Value Proposition in the HR and Compensation Market18:29 - "Service-as-a-Software" Business Model and Strategic Use of AI for Software, Services, and Tools26:20 - Comp's Traction So Far28:44 - Building a team in a AI native company35:12 - Challenges along the way39:26 - Vision for the Future and Global Ambitions46:56 - Customer Success Stories and Impact51:56 - Closing RemarksEpisode Transcription in Portuguese: O mundo que estamos construindo é um em que um executivo pode vir e dizer: “Ei, em 2025, minha empresa vai crescer a receita em 25%. Precisamos alcançar o ponto de equilíbrio. Vamos abrir uma divisão de fintech, então precisaremos de novos tipos de talentos nessa área, e também vamos encerrar nossas operações no país X, Y, Z. Assim, gostaria que vocês me ajudassem a desenhar cada elemento do meu custo total de mão de obra." Quais benefícios eu devo oferecer? Quanto eu devo aumentar nos salários baseado nesse objetivo de ponto de equilíbrio, na minha retenção anterior, no índice de conversão de candidatos que já tivemos? Existe uma enorme quantidade de dados que podem ser usados, digamos, para otimizar essas decisões. E tudo isso pode começar a partir de um input estratégico de alto nível, como esse, composto por uma ou duas frases de um executivo, e, a partir daí, podemos fazer todo o trabalho e voltar com soluções para o cliente. Realmente acredito que é assim que as empresas tomarão decisões no futuro. E, honestamente, colocaria vocês nessa categoria. Não é fácil apontar para uma empresa específica, em outro lugar, fazendo algo verdadeiramente parecido com o que vocês estão fazendo. Vocês estão assumindo riscos reais de inovação e realmente estão na vanguarda do que é possível nessa área de atuação em que vocês trabalham. Chris, agora vamos mudar para o inglês para começar nosso episódio, já que temos um gringo aqui no programa hoje – gringo, como eu, de várias maneiras. Muito obrigado, Chris, por aceitar o convite de compartilhar um pouco sobre sua história e sua trajetória com a Comp. Estamos muito, muito empolgados em tê-lo aqui e ansiosos por essa conversa com você. Então, muito obrigado e seja bem-vindo. Chris: Obrigado pelo convite. Estou super animado para estar aqui e por essa conversa. Florian: Ótimo. Talvez comecemos com o comentário do gringo. Quando comecei minha carreira como empreendedor aqui no Brasil, havia muitos de nós. Era na época da Rocket Internet: tinha muitos alemães, americanos e franceses. E então, durante um tempo, eles meio que desapareceram. Provavelmente tem a ver com os altos e baixos econômicos do Brasil, mas eis que agora você está aqui, um gringo na cidade, construindo algo no Brasil. Algo realmente único e intrigante. Eu adoraria ouvir mais: você pode compartilhar um pouco sobre o seu passado, sua trajetória e o que o trouxe ao Brasil e à decisão de começar a Comp localmente? Chris: Claro! Que honra! Acho que sou o primeiro gringo no podcast, então estou honrado de ser o primeiro. Um pouco sobre mim – sou meio holandês e meio americano. Nasci na Holanda e cresci principalmente nos EUA. Quando jovem, meu sonho era jogar futebol profissional. Além de ser o “gringo” com quem você está conversando agora, meu segundo maior orgulho é que joguei contra o Mbappé na França quando eu tinha cerca de 14 anos. Mas, em certo ponto, percebi que não seria bom o suficiente para fazer disso uma carreira. Eu fui jogar na universidade e estudei na Cornell, em Nova York. Foi lá que conheci meu cofundador brasileiro, chamado Pedro, há mais ou menos uns 7 ou 8 anos. Estávamos em uma aula de comunicação empresarial, onde a tarefa era dar um discurso inspirador sobre algo que queríamos fazer em nossa carreira. Todo mundo na classe dizia que queria trabalhar no Goldman Sachs como banqueiro ou ser consultor na McKinsey. Pedro e eu fomos os únicos a falar sobre empreendedorismo. Achei que Pedro fez um discurso muito carismático e emocional sobre porque queria ser empreendedor. Mas o professor, depois do discurso dele, disse algo como: “Pedro, tenho certeza de que o que você disse foi ótimo, mas não consegui entender por causa do seu sotaque brasileiro. Você precisa melhorar isso se quiser passar nessa matéria." Após a aula, fiz uma brincadeira com ele, e acabamos nos tornando amigos por sermos os únicos da turma com mentalidade empreendedora. Começamos a almoçar juntos, a trocar ideias, etc. Durante nosso segundo ano de faculdade, começamos um negócio de entrega de comida. Entregávamos açaí para estudantes no campus e alguns outros itens de café da manhã. A inovação que criamos, entre aspas, foi que, diferente de plataformas como Uber Eats, iFood ou DoorDash, onde cada entrega é feita separadamente, nós coletávamos vários pedidos de uma vez para reduzir o preço da entrega. Em vez de uma pessoa da entrega pegar um pedido por vez, pegávamos, por exemplo, 8 ou 10 pedidos de uma só vez. Dessa forma, reduzíamos o custo para o consumidor e tornávamos o processo mais eficiente. Como muitos estudantes moravam próximos uns dos outros no campus, fazia sentido. Além disso, ajudávamos restaurantes fora do campus a atender os estudantes e a gerar mais receita durante as manhãs, quando eles tinham capacidade ociosa. Esse foi, basicamente, o nosso modelo de negócio. Chegamos a levantar capital de algumas aceleradoras, crescemos para uma equipe de 30 pessoas, aprendemos muito, mas tivemos o que chamamos de uma saída pequena. Não foi um grande sucesso financeiro, mas aprendemos que amávamos ser empreendedores. Até hoje, não sei explicar de forma 100% racional; foi mais emocional, e ainda é. Amamos construir algo do zero, trabalhar com colegas inteligentes e ambiciosos, enfrentar novos desafios todos os dias. Também aprendemos que adorávamos trabalhar juntos, e nos comprometemos a continuar trabalhando juntos por anos. Então, dessa experiência, não tivemos um grande retorno financeiro, mas conquistamos uma parceria de longo prazo entre mim e o Pedro. Depois de nos formarmos, trabalhei na General Atlantic, uma firma global de private equity focada em estágio de crescimento (Series B, Series C). Lá, me concentrei em empresas de tecnologia B2B e avaliei várias empresas de recrutamento, performance, folha de pagamento, compensação, etc. Foi um lugar fantástico para aprender e, eventualmente, acabei mergulhando fundo na área de tecnologia para RH, que encabeça o que fazemos hoje na Comp. Florian: Impressionante! Há muito o que explorar só nessa parte da sua trajetória, e também muitos aspectos em comum, Chris. Eu também joguei futebol, mas, infelizmente, não contra o Mbappé. Essa é uma ótima história! Você deveria contar isso mais vezes. Chris: Eu até contaria mais vezes, mas perdemos aquele jogo de 5 a 1. Florian: Ele marcou? Chris: Ele marcou três vezes. Florian: Uau. Já dava pra perceber que ele era incrível, né? Chris: Sim, dava pra ver que ele era fantástico. Florian: Então provavelmente você está em um daqueles vídeos caseiros onde o Mbappé destrói todo mundo, e você é um dos meninos tentando detê-lo no vídeo. Chris: Eu adoraria ver esse vídeo, por mais embaraçoso que fosse. Florian: Muito bom. Mas voltando ao que você mencionou, algo que capturou minha atenção foi quando você disse que, até hoje, não sabe muito bem por que quis começar uma empresa, dizendo ser um processo emocional. E, em muitos aspectos, isso se assemelha a ser uma criança querendo ser jogador de futebol, certo? É mais como um sonho, algo que você simplesmente quer fazer. E, como empreendedor, esperamos que você acabe se tornando mais um "Mbappé", do que "Chris". Mas, me conte um pouco mais sobre como vocês construíram a empresa na faculdade, venderam e seguiram em frente. Você sabia que ia começar outra empresa? E trabalhar na General Atlantic foi mais um “deixa eu olhar o mundo real e adquirir habilidades” ou algo mais? Como foi essa decisão? Para você, foi sempre óbvio que aquilo era algo temporário e que você voltaria a ser fundador? Chris: Sim, diria que foi algo assim. No último semestre da faculdade, Pedro e eu fizemos uma promessa um ao outro de que, em até 3 anos, iríamos começar um negócio juntos. Pedro foi trabalhar em um cargo de produto no Vale do Silício, enquanto eu fui para a General Atlantic, mas o plano era claro: trabalhar por alguns anos, ter experiências complementares em nossas trajetórias e aprender como é estar no “mundo real”. Queríamos construir um currículo sólido, mesmo que por apenas 1 ou 2 anos. Mas sabíamos, desde o dia em que paramos de trabalhar no negócio de entrega de açaí, que um dia voltaríamos. Florian: E vocês sabiam que seria vocês dois juntos novamente. Chris: Exatamente. Disso nós tínhamos certeza. Não sabíamos se seria uma empresa B2B, B2C, em qual setor, ou mesmo em qual geografia, mas sabíamos que seria nós dois. Acabamos indo para o mundo do tech para RH porque foi o foco do meu trabalho na General Atlantic, e posso aprofundar mais sobre isso. Florian: Legal, fale mais sobre isso. Acho muito interessante. Chris: Eu diria que existiam alguns temas principais. Na General Atlantic, como a maioria das empresas de investimento, o papel dos analistas juniores é basicamente buscar oportunidades e fazer diligências, no nosso caso, em empresas de tecnologia em estágios mais avançados (Series B em diante). Algo que me surpreendeu inicialmente – e lembro de comentar isso com o Pedro – foi que, ao fazermos diligência em empresas promissoras, percebíamos que a maioria dos CEOs tinha muita clareza sobre sua estratégia de mercado e visão do produto, mas, por outro lado, não tinham tanto domínio sobre a estratégia relacionada às pessoas que fazem todas essas coisas acontecerem. Perguntávamos coisas como: “Por que vocês têm essa divisão específica de salário fixo versus variável?”, ou “Quais são os custos associados à folha de pagamento nessa região ou país, se você contratar CLT ou prestadores de serviço?”. Também perguntávamos coisas como: “Como os gestores conseguem orçamento para novas contratações?” ou “Como vocês alocam o orçamento de aumento salarial anual?”. E a maioria dos líderes usava uma boa dose de intuição para responder a essas questões. Isso não é necessariamente errado, mas começamos a chamar isso de “estratégia de custo de mão de obra”. E ficou claro para nós que, mesmo em empresas modernas de tecnologia e serviços, onde 50% a 80% do orçamento operacional vai para folha de pagamento e benefícios, a abordagem usada para essas questões era baseada em “achismos”. O foco nessas decisões críticas parecia ser insuficiente. Outra coisa que eu aprendi na General Atlantic foi a operação do RH, ou seja, o lado operacional do RH, e não tanto o estratégico. Quando digo operacional, quero dizer as atividades diárias geridas, muitas vezes, em planilhas de Excel e PDFs. Observamos que esse era um espaço relativamente saturado globalmente. Em qualquer mercado grande (Latam, EUA, Europa, etc.), havia dezenas de empresas vendendo ferramentas de software que ajudavam as empresas a gerenciar diferentes partes da área de RH: desde folha de pagamento até recrutamento, desempenho, entre outros. Avaliamos que o lado operacional já tinha muitos concorrentes e seria muito difícil entrar nesse mercado com um SaaS tradicional. Além disso, percebemos que, enquanto o lado operacional era bem atendido, o lado estratégico – especificamente em relação a compensação e estratégia de custo de mão de obra – ainda dependia amplamente de consultorias como Mercer, Korn Ferry e Willis Towers Watson. Essas consultorias são extremamente caras e com NPS negativo. Foi um momento de “eureka” perceber que, apesar do custo alto, os resultados obtidos com essas consultorias não atendiam às expectativas. Além disso, muitas decisões relacionadas à compensação nas empresas ainda eram feitas de forma pouco transparente, tanto para recrutadores quanto para os próprios colaboradores. A compensação como um todo parecia ser um “problema cabeludo” tanto do lado da empresa quanto do colaborador. E foi aí que começamos a explorar a ideia de construir uma empresa que ajudasse outras empresas com suas estratégias de compensação total. Florian: Super interessante, Chris. Isso faz muito sentido. Por que você não nos conta um pouco mais sobre a evolução do produto da Comp e como a empresa começou? Também trabalhamos juntos nisso, então vi boa parte da jornada. Quando começaram, e quando investimos em vocês pela primeira vez, a ideia e o produto inicial eram, essencialmente, um banco de dados de compensação, com dados em tempo real. E foi incrível como vocês conseguiram atrair várias techs para participarem da plataforma, compartilhando, de forma anônima, os dados de compensação. Em troca, essas empresas recebiam benchmarks do mercado. Se minha descrição não for precisa, me corrija. Mas esse era o produto inicial. Como o valor evoluiu desde então? O que vocês aprenderam ao longo desses últimos anos e, agora, qual o principal valor que a Comp entrega? Chris: Certo! Há muita coisa para discutir aqui. Mas sim, começamos exatamente como você descreveu. Criamos um banco de dados de compensação, que é o primeiro produto. A proposta de valor para os clientes era: para tomar a maioria das decisões sobre salários, benefícios, bônus, e incentivos de longo prazo, eles precisariam de benchmarks do mercado. Quer dizer, dados específicos sobre o que os concorrentes diretos estão fazendo. E, claro, cada cliente precisa de benchmarks diferentes: por exemplo, uma empresa pode querer comparar seus engenheiros com Nubank e PicPay, mas precisa olhar para Itaú ou Bradesco quando se trata de analistas financeiros. O primeiro produto que criamos foi, basicamente, isso: um banco de dados com rede de dados altamente valiosa. Quanto mais empresas participam da base compartilhando seus dados anonimamente, mais robusto o banco de dados fica para todos. Por isso, disponibilizamos essa ferramenta gratuitamente – além do fato de que não existe orçamento tão significativo destinado apenas para a aquisição de benchmark. Hoje, temos mais de 1.000 empresas usando esse produto na América Latina, com foco no Brasil, além de algumas multinacionais que têm operações locais. Continuamos expandindo: começamos apenas com benchmarks de salário, mas já adicionamos dados sobre modelos de salário variável, benefícios, incentivos de longo prazo e até análises organizacionais como número médio de subordinados por gestor. Agora, ajudamos os clientes em duas frentes principais: estratégia e implementação. Sobre estratégia: hoje empresas nos contratam para desenhar ou revisar a estratégia de compensação. Isso inclui desde construir tabelas salariais até planos de bônus e benefícios. Por outro lado, também fornecemos ferramentas para implementar essas políticas, automatizando promoções, comunicação de benefícios, entre outras atividades. Florian: Super interessante, Chris. Isso faz muito sentido. Por que você não nos conta um pouco mais sobre a evolução do produto da Comp e como a empresa começou? Também trabalhamos juntos nisso, então vi boa parte da jornada. Quando começaram, e quando investimos em vocês pela primeira vez, a ideia e o produto inicial eram, essencialmente, um banco de dados de compensação, com dados em tempo real. E foi incrível como vocês conseguiram atrair várias techs para participarem da plataforma, compartilhando, de forma anônima, os dados de compensação. Em troca, essas empresas recebiam benchmarks do mercado. Se minha descrição não for precisa, me corrija. Mas esse era o produto inicial. Como o valor evoluiu desde então? O que vocês aprenderam ao longo desses últimos anos e, agora, qual o principal valor que a Comp entrega? Chris: Certo! Há muita coisa para discutir aqui. Mas sim, começamos exatamente como você descreveu. Criamos um banco de dados de compensação, que é o primeiro produto. A proposta de valor para os clientes era: para tomar a maioria das decisões sobre salários, benefícios, bônus, e incentivos de longo prazo, eles precisariam de benchmarks do mercado. Quer dizer, dados específicos sobre o que os concorrentes diretos estão fazendo. E, claro, cada cliente precisa de benchmarks diferentes: por exemplo, uma empresa pode querer comparar seus engenheiros com Nubank e PicPay, mas precisa olhar para Itaú ou Bradesco quando se trata de analistas financeiros. O primeiro produto que criamos foi, basicamente, isso: um banco de dados com rede de dados altamente valiosa. Quanto mais empresas participam da base compartilhando seus dados anonimamente, mais robusto o banco de dados fica para todos. Por isso, disponibilizamos essa ferramenta gratuitamente – além do fato de que não existe orçamento tão significativo destinado apenas para a aquisição de benchmark. Hoje, temos mais de 1.000 empresas usando esse produto na América Latina, com foco no Brasil, além de algumas multinacionais que têm operações locais. Continuamos expandindo: começamos apenas com benchmarks de salário, mas já adicionamos dados sobre modelos de salário variável, benefícios, incentivos de longo prazo e até análises organizacionais como número médio de subordinados por gestor. Agora, ajudamos os clientes em duas frentes principais: estratégia e implementação. Sobre estratégia: hoje empresas nos contratam para desenhar ou revisar a estratégia de compensação. Isso inclui desde construir tabelas salariais até planos de bônus e benefícios. Por outro lado, também fornecemos ferramentas para implementar essas políticas, automatizando promoções, comunicação de benefícios, entre outras atividades. Florian: Muito interessante, Chris. Notei que você não mencionou a palavra "IA" ao falar do produto, o que é curioso, porque vejo a Comp como uma empresa nativa de IA. Vamos falar um pouco sobre o que significa ser uma empresa nativa de IA, tanto no produto quanto na cultura. Como vocês estão utilizando IA para liderar essa categoria de "selling work"? Chris: Ótima pergunta. Talvez a primeira coisa a abordar seja por que não mencionamos IA ao falar da Comp. Diferente de outras empresas de "selling work", que tentam eliminar completamente a necessidade de humanos na operação, nós intencionalmente mantemos humanos no processo. Isso porque acreditamos que, em decisões estratégicas como compensação, é crucial ter um especialista humano envolvido. Nosso diferencial é que usamos IA para apoiar esses especialistas. A IA nos ajuda a analisar grandes volumes de dados, identificar padrões e fornecer recomendações baseadas em dados. Mas o toque humano ainda é essencial, especialmente em decisões estratégicas críticas. Florian: Faz sentido. E como vocês têm se saído em termos de tração e marcos importantes? Chris: Hoje, temos mais de 1.000 empresas usando nosso produto de benchmark e mais de 100 clientes pagantes utilizando nossos serviços de estratégia e implementação. Crescemos mais de 8x ano a ano em 2024 com uma equipe enxuta de 16 pessoas. Florian: Impressionante. E como vocês pensam sobre a cultura da empresa, especialmente em um ambiente de crescimento tão rápido? Chris: Temos sido muito intencionais sobre manter a equipe pequena e focada. Acreditamos que uma equipe menor e altamente qualificada é mais eficiente e ágil. Isso nos permite evitar burocracia e tomar decisões rapidamente. Também incentivamos uma cultura de colaboração e propriedade, onde cada membro da equipe é incentivado a assumir responsabilidade e contribuir ativamente. Florian: Muito interessante, Chris. E quais são os maiores desafios que vocês enfrentaram até agora? Chris: Um dos maiores desafios tem sido vender para compradores avessos ao risco, como o RH. É difícil convencê-los a adotar uma nova abordagem sem muita confiança. Investimos muito em construir nossa marca e estabelecer confiança com nossos clientes. Outro desafio é educar o mercado sobre o valor que oferecemos. Muitas vezes, os clientes não percebem que têm um problema até que seja tarde demais. Por isso, começamos com contratos menores e expandimos conforme ganhamos a confiança do cliente. Florian: E quais são os planos futuros para a Comp? Chris: Temos ambições globais. O problema que resolvemos é universal, e acreditamos que podemos levar nossa abordagem para outros mercados. Estamos apenas começando, mas estamos animados com o potencial de crescimento e impacto que podemos ter. Florian: Muito obrigado, Chris, por compartilhar sua história e insights. Foi uma conversa incrível, e estamos ansiosos para ver o que o futuro reserva para a Comp. Chris: Obrigado, Florian, e a toda a equipe da Canary pelo apoio. Estamos apenas começando, e há muito mais por vir. See omnystudio.com/listener for privacy information.

When it comes to independent software selling, success isn't just about shouting louder than the competition — it's about listening smarter. The real winners aren't the ones with the biggest...

In this insightful episode, entrepreneur Mark Bradley shares his journey from running a landscaping business to developing and selling a successful software company. Learn about implementing balanced scorecards, preparing businesses for sale, and leveraging technology for operational excellence.Episode TimelineIntroduction and Background (00:00 - 03:17)00:00 - Episode introduction and balanced scorecard overview00:13 - Welcome00:46 - Introduction of guest Mark Bradley01:33 - Year in review discussion02:31 - Initial discussion about business sale experienceBuilding a Software Business (03:18 - 14:40)03:18 - Journey from landscaping to software development05:56 - Key strategies for optimizing business valueDiscussion of scaling challenges and solutionsImportance of systematic growth approachesTechnology and Business Optimization (14:41 - 30:36)14:41 - Technology's role in modern business operationsImplementation of digital solutionsFuture trends in business technologyIntegration of balanced scorecard methodologyStrategic Insights and Recommendations (30:37 - 40:11)30:37 - Practical advice for small business ownersDiscussion of operational efficiencyTips for business value optimization40:11 - Closing thoughts and episode wrap-upKey TakeawaysBalanced Scorecard ImplementationImportance of measuring both financial and non-financial metricsIntegration of customer satisfaction metricsEmployee development and growth trackingOperational efficiency measurementsBusiness Sale PreparationStrategic steps for maximizing business valueDocumentation and process standardizationImportant metrics buyers look forTiming considerations for saleTechnology IntegrationRole of software in business optimizationDigital transformation strategiesOperational efficiency through technologyFuture technology trendsCustomer Experience OptimizationMeasuring and improving customer satisfactionBuilding sustainable customer relationshipsBalance between efficiency and service qualityBusiness Growth StrategiesScaling operations effectivelyBuilding valuable business assetsEmployee development importanceSustainable growth practicesAbout Mark BradleyMark Bradley is a serial entrepreneur who successfully transitioned from owning a landscaping business to developing and selling a software company. His software solution, originally designed for his landscaping business, grew into a successful standalone venture, demonstrating his ability to identify market needs and scale solutions effectively.https://www.linkedin.com/in/mark-bradley-lmn/Connect with Dwayne KerriganLinked In: https://www.linkedin.com/in/dwayne-kerrigan-998113281/ Facebook: https://www.facebook.com/businessofdoingbusinessdk Instagram: https://www.instagram.com/thebusinessofdoingbusinessdk/Website:

Growing a software business is becoming increasingly challenging. While traditional channels like social media and SEO remain important, rising costs and crowded markets make it harder for independent makers and...

In This Episode Chris Lollini Teaches How to Start a Software Business (Saas) Without Having to Create Your Own Software - Making a Multiple 6 Figure Income White Labeling Saas - With Chris Lollini (Original Air Date - 6/1/23) What we discuss with Chris: + Introduction and Overview + The Concept of Starting a SaaS Company Without Actually Owning a Software + Guest Introduction: Chris Lolini's Journey + The Impact of Books and Travel on Chris's Entrepreneurial Journey + The Concept of Lifestyle Design + The Evolution of Chris's Business Model + The Importance of Positioning and Packaging Your Offerings + The Balance Between Work and Personal Life + The Value of Providing Service Alongside a Software + The Importance of Differentiating Your Offer and Targeting High-Value Customers + The Power of Demonstrating Value and Making Business Easy for Clients + The Impact of a Strong Offer on Business Success + Creating a Standout Offer + The Importance of Passion and Discipline in Business + The Value of Mentorship and Self-Initiative + Expanding Business Services and Client Relationships + Balancing Work and Family Life + Exploring New Business Opportunities + Reflecting on the Entrepreneurial Journey + The Benefits of Reselling Software + Closing Thoughts and Contact Information For more information go to MillionaireUniversity.com To get access to our FREE Business Training course go to MillionaireUniversity.com/training. And follow us on: Instagram Facebook Tik Tok Youtube Twitter To get exclusive offers mentioned in this episode and to support the show, visit millionaireuniversity.com/sponsors. Want to hear from more incredible entrepreneurs? Check out all of our interviews here! Learn more about your ad choices. Visit megaphone.fm/adchoices

What are the 7 was to build a successful SaaS without big VC funding? In this episode of the Grow Your B2B SaaS Podcast, host Joran Hofman chats with Greg Head, a veteran in the software industry with over 30 years of experience. Greg has played a key role in the growth of multiple companies in the CRM space, such as Act, SalesLogix, and Infusionsoft. Currently, he advises SaaS founders through his Practical Founders group and hosts the Practical Founder podcast. In this episode, they explore his insights into building a successful SaaS business without the need for big venture capital (VC) funding. This episode is essential for any SaaS founder exploring alternative paths to success. Whether you're bootstrapping or considering alternative funding options, Greg Head's insights are invaluable for building a thriving SaaS business. Key Timestamps (2:56) - Understanding the Practical Founder Approach (3:07) - Building a SaaS Without Big VC Funding (4:23) - Should Founders Aim to Sell Their SaaS? (5:49) - Building a Profitable Software Company (7:07) - Seven Paths to Success for SaaS Founders (13:10) - The Cost of Starting a Software Business (14:08) - Understanding the Value of Strategic Exits (16:45) - The Two-Bite Exit Strategy (19:16) - Private Equity vs. Strategic Exits (23:03) - The Startup Flipper Path (28:29) - Later VC Funding as an Option (36:22) - Advice for Founders at 10K MRR (39:11) - Building a Reliable Go-To-Market Motion

Dan is joined by Nilesh Kamdar, the General Manager of the Design & Verification EDA businesses at Keysight. Nilesh has also held roles as Portfolio Manager, and Director of the Software Business & Operations team at Keysight. Nilesh joined Hewlett-Packard in 1999 in the EEsof EDA division. Over his 25+ year career he … Read More

AI agents are reshaping the software business model, challenging traditional SaaS pricing with approaches like outcome-based and usage-based models. This video explores recent developments from OpenAI and startups like Sierra, analyzing the potential for AI agents to replace labor and how enterprises might value these tools. As companies experiment with pricing strategies, the future of software economics is in flux. Brought to you by: Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Subscribe to the newsletter: https://aidailybrief.beehiiv.com/ Join our Discord: https://bit.ly/aibreakdown

This is episode 717. Read the complete trascription on the Sales Game Changers Podcast website. Read more about the Institute for Excellence in Sales Premier Women in Sales Employer (PWISE) designation and program here. Purchase Fred Diamond's best-sellers Love, Hope, Lyme: What Family Members, Partners, and Friends Who Love a Chronic Lyme Survivor Need to Know and Insights for Sales Game Changers now! Today's show featured Holly Rollo, the author of The Power of Surge. We also featured John Shrader, Chief Revenue Officer at construction software company Arcoro. HOLLY'S TIP:  “The real thing that's going to differentiate you is a frictionless customer experience. That customer experience can't be managed if it's in bits and pieces all over the place. Then sales, marketing and customer success aren't radically aligned, which is what I'm a big advocate of. Priorities become really, really clear when you figure out where's the friction in that customer experience and how can you properly set goals, which I think would help align CEO expectations, not just on marketing, but on the investments and attention spent across the go-to-market roles that remove that friction and make the experience stronger.” JOHN'S TIP: “What are those things that you're doing on a regular basis that cover three things? You're always prospecting, you're selling, and you're closing. There's different times in your day, your month, your week that the amount of time you spend between those three things shifts. The beginning of a month, you're going to be spending more probably on prospecting. The bottom end of a month you're doing more on closing. But that balance of how you do that in a day matters.”

Local cinema software company Vista Group has been named in Callaghan Innovation's Sir Paul Callaghan 100 Report. 

When a Podscan user got a bit "too general" with their keywords, all of a sudden, my email provider stopped sending emails.Whoops.Let's talk user error and founder foresight.This episode is sponsored by Paddle.com — if you're looking for a payment platform that works for you so you can focus on what matters, check them out.The blog post: https://thebootstrappedfounder.com/from-overload-to-opportunity/The podcast episode: https://tbf.fm/episodes/351-from-overload-to-opportunityCheck out Podscan to get alerts when you're mentioned on podcasts: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

On this episode of Chit Chat Stocks, Brett and Ryan talk with Braden Dennis, host of the Canadian Investor Podcast and founder of Finchat.io. Braden's Twitter/X: https://x.com/BradoCapital Canadian Investor: https://thecanadianinvestorpodcast.com/ They discuss: Chapters (00:00) Introduction and Background (04:32) Braden's Investment Approach (07:31) The Concentration in Constellation Software (22:00) Understanding Brookfield Corporation (28:02) Exploring Braden's Stock Portfolio (32:20) Opportunities in Small-Cap Stocks and Fintech (32:36) Terravest: A Serial Acquirer in Manufacturing and Distribution (37:19) Challenges and Surprises in Building a Software Business (45:17) Misconceptions About Software Stocks (48:53) The Importance of Efficient Operations in Software Companies ***************************************************** Subscribe to our YouTube channel: https://www.youtube.com/@ChitChatStocks  Follow us on Twitter/X: ⁠https://twitter.com/chitchatstocks  Follow us on Substack: ⁠https://chitchatstocks.substack.com/  ********************************************************************* Options are not suitable for all investors and carry significant risk.  Option investors can rapidly lose the value of their investment in a short period of time and incur permanent loss by expiration date.  Certain complex options strategies carry additional risk.  There are additional costs associated with option strategies that call for multiple purchases and sales of options, such as spreads, straddles, among others, as compared with a single option trade. Prior to buying or selling an option, investors must read and understand the “Characteristics and Risks of Standardized Options”, also known as the options disclosure document (ODD) which can be found at: www.theocc.com/company-information/documents-and-archives/options-disclosure-document Supporting documentation for any claims will be furnished upon request. If you are enrolled in our Options Order Flow Rebate Program, The exact rebate will depend on the specifics of each transaction and will be previewed for you prior to submitting each trade. This rebate will be deducted from your cost to place the trade and will be reflected on your trade confirmation. Order flow rebates are not available for non-options transactions. To learn more, see our Fee Schedule, Order Flow Rebate FAQ, and Order Flow Rebate Program Terms & Conditions. Options can be risky and are not suitable for all investors. See the Characteristics and Risks of Standardized Options to learn more. All investing involves the risk of loss, including loss of principal. Brokerage services for US-listed, registered securities, options and bonds in a self-directed account are offered by Open to the Public Investing, Inc., member FINRA & SIPC. See public.com/#disclosures-main for more information. ********************************************************************* FinChat.io is The Complete Stock Research Platform for fundamental investors. With its beautiful design and institutional-quality data, FinChat is incredibly powerful and easy to use. Use our LINK and get 15% off any premium plan: ⁠https://finchat.io/chitchat/?lmref=J3bklw  ********************************************************************* Sign up for YellowBrick Investing to track the best investing pitches across the internet: joinyellowbrick.com/chitchat ********************************************************************* Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.

Let us know if you enjoyed this episodeIn this episode of Acquisitions Anonymous, we reviewed a fast-growing real estate coaching business with $4 million in yearly revenue and $1 million in profit. This company is growing at 20% annually and the asking price is $3 million. Should you buy it? Join us to hear our thoughts on whether this is a good investment.Thanks to this week's sponsor:CloudBookkeeping offers adaptable solutions to businesses that want to focus on growth with a “client service first” approach. They offer a full suite of accounting services, including sophisticated reporting, QuickBooks software solutions, and full-service payroll options.Learn how to buy a business.If you are interested in buying a business but unsure how to start, you should check Michael's Buy a Business Course:You will learn:• Build a thesis for the type of business that's right for you‍• Learn how to stand out in a sea of buyers• Create a working, scalable Deal Engine getting you leads• Maximize your chances of finding great dealsAdvertise with us by clicking here Do you love Acquanon and want to see our smiling faces? Subscribe to our Youtube channel. Do you enjoy our content? Rate our show! Follow us on Twitter @acquanon Learnings about small business acquisitions and operations. For inquiries or suggestions, email us at contact@acquanon.com

In this episode, I'm excited to welcome Mohit Aron back to B2BaCEO for the second time. As the founder of Cohesity and co-founder of Nutanix, Mohit is a titan in the world of enterprise GTM and infrastructure software. With two wildly successful companies under his belt, he's a true expert when it comes to building enterprise software businesses from the ground up. In our conversation, Mohit shares his proven frameworks for validating startup ideas. He reveals hard-won lessons from starting Nutanix and Cohesity, with real-world examples that bring his advice to life. We explore product-market fit—what it really looks like in practice—as well as how to build a team and manage performance in a high-growth startup. We wrap up by discussing the topic du jour, generative AI, and the opportunities it opens for startups. This episode is full of insights for technical founders. I hope you enjoy it! (00:00) Intro (00:21) Mohit's framework for a bulletproof startup hypothesis document (07:53) Why your MVP shouldn't be your full vision (10:39) Cohesity's journey from 0 to 1, 1 to 10, and 10 to 100+ (17:19) Examples of founders not being intellectually honest about their hypotheses (20:35) How to accurately size your startup's market (TAM) (23:55) Balancing founder conviction with naysayer feedback (31:02) Adapting the hypothesis document for the generative AI era (34:19) Mohit's definition of product-market fit (39:05) When to hit the gas on sales hiring (and when not to) (44:59) Mohit's system for competency-based hiring (53:17) Implementing performance management via quarterly calibrations (56:00) What Mohit would do differently as a technical founder (58:07) Mohit's top advice for founders (60:09) The industries ripe for disruption by generative AI (62:04) Book recommendations for founders

This week, I almost lost access to my database, including all its backups. Also, a full-text index brought down my product. Neither were intended —obviously—, but both made me revisit my safety precautions and how I approach depending on platforms like AWS. Here's what happened, how I got out of there, and what there is to prevent this in the future.This episode is sponsored by Acquire.comThe blog post: https://thebootstrappedfounder.com/two-surprisingly-scary-tales-of-platform-risk/ The podcast episode: https://tbf.fm/episodes/327-two-surprisingly-scary-tales-of-platform-riskCheck out Podscan to get alerts when you're mentioned on podcasts: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

In this episode of The Synopsis we read an excerpt from our Constellation Software research report, covering their Business History. If you prefer to read instead of listening to this article, you can find access to it below.   Article Link: Speedwell Memos - Constellation Software Business History  -*-*-*-*-*-*-*-*-*-*- Show Notes (0:00) – Intro  (1:13) – Article Reading Starts (9:25) – Closing Comments -*-*-*-*-*-*-*-*-*-*- Purchase Constellation Research Report Purchase a Speedwell Membership to gain access to all of Speedwell's Research Reports, Models, Company Updates, and more.  Speedwell Research's main website can be found here.  Speedwell's free newsletter can be found here. -*-*-*-*-*-*-*-*-*-*- Twitter: @Speedwell_LLC Threads: @speedwell_research Email us at info@speedwellresearch.com for any questions, comments, or feedback -*-*-*-*-*-*-*-*-*-*- Disclaimer Nothing in this podcast is investment advice nor should be construed as such. At the time of publishing, one or more contributors to the podcast had a position in Constellation Software. Furthermore, accounts one or more contributors advise on may also have a position in Constellation Software. This may change without notice.Please see our full disclaimers here:  https://speedwellresearch.com/disclaimer/

In today's episode I sit down with my best friend Dan to discuss how he helped scale a software business from $0 to $60M. We talk about business management, hiring / firing, company culture, marketing, team building and much more! We also dive into Dan's background as a professional fighter, and a 3rd degree blackbelt in Taekwondo! We talk about not being lazy, and how doing hard things early on in life makes you more successful in the long run.Probate Marketing Blueprint - Probate CourseRoman Empire Academy - My AcademyLink Tree - Everything else you'll need.Propstream - Free Trial 

(0:00) Intro(1:52) The Journey to Founding CrowdStrike(2:38) The Difference Between Stopping Malware and Stopping Breaches(3:27) Inspiration Behind CrowdStrike's Unique Approach(4:30) Challenges of Building a New Architecture in Cybersecurity(5:10) The Decision to Leave McAfee and Start CrowdStrike(8:11) Early Days of CrowdStrike: Building the Product and Offering Services(9:45) Unexpected Beginnings of CrowdStrike's Intelligence Product(10:33) The Role of Incident Response in Cybersecurity(11:16) Journey to Becoming a Software Business(14:36) Evolution of CrowdStrike's Product Offering(19:54) The Importance of Building Trust and Credibility in Cybersecurity(20:27) The Role of Nation States and Cybercrime in the Growth of Cybersecurity Threats(25:09) Experience of Handling High-Profile Cybersecurity Incidents(26:16) The Importance of Having the Right Investors and Board Members(34:08) The Strategy Behind Competing with Big Players Like Microsoft(42:09) The Importance of Having the Right Team and Leadership(43:53) The Challenges and Rewards of Scaling a Cybersecurity Company(48:49) Hiring and Retaining the Right People(49:49) Understanding Different Types of Salespeople(51:52) The Importance of Marketing and PR in Business(55:59) The Role of Nation State, E Crime, and Hacktivism in Cybersecurity(1:05:03) Impact of AI on Cybersecurity(1:09:36) The Importance of Password Security(1:10:41) New SEC Reporting Rule for Cybersecurity Breaches(1:14:48) The Role of AI in the Future of Cybersecurity(1:17:42) The Journey to Entrepreneurship(1:19:58) Importance of Timing in Starting a Business(1:25:06) Impact of Early Life Experiences on Entrepreneurship(1:26:58) The Role of Sports in Developing Leadership Skills(1:29:41) Transition from Accounting to Entrepreneurship(1:29:55) Importance of Timing and Market Readiness in Entrepreneurship(1:35:32) The Role of Teamwork in Business Success Produced: Rashad Assir & Leah ClapperMixed and edited: Justin HrabovskyExecutive Producer: Josh Machiz 

This is Zack Fuss. Today we are breaking down the largest privately-owned software business in Europe, Visma. Visma is a software company with over 15,000 employees offering accounting, payroll, and HR software products for customers across the Nordic, Benelux, and Baltic regions. Founded in Oslo in 1996, Visma grew organically and via acquisition of 178 companies. We're joined by Nic Humphries, the Senior Partner and Executive Chairman of Hg Capital, which is one of the leading software investors in Europe. Nic is intimately familiar with Visma, given Hg owns over 50% of the business and has been invested for over 17 years. Hg initially invested as part of a take-private transaction in 2006 at just a $450 million valuation and based upon the latest recap completed in December, today, the business is valued at over $21 billion. As part of this conversation, we discussed the business history, growth, and recent leadership transition. Please enjoy this breakdown of Visma. For the full show notes, transcript, and links to the best content to learn more, check out the episode page here. ----- This episode is brought to you by Tegus, the modern research platform for leading investors. Tired of running your own expert calls to get up to speed on a company? Tegus lets you ramp faster and find answers to critical questions more efficiently than any alternative method. The gold standard for research, the Tegus platform delivers unmatched access to timely, qualitative insights through the largest and most differentiated expert call transcript database. With over 60,000 transcripts spanning 22,000 public and private companies, investors can accelerate their fundamental research process by discovering highly-differentiated and reliable insights that can't be found anywhere else in the market. As a listener, drive your next investment thesis forward with Tegus for free at tegus.co/patrick. ----- Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit joincolossus.com/episodes. Stay up to date on all our podcasts by signing up to Colossus Weekly, our quick dive every Sunday highlighting the top business and investing concepts from our podcasts and the best of what we read that week. Sign up here. Follow us on Twitter: @JoinColossus | @patrick_oshag | @jspujji | @zbfuss | @ReustleMatt | @domcooke Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes (00:00:00) Welcome to Business Breakdowns (00:02:44) First question - Introducing Visma and its operations (00:10:51) Identifying Visma's unique attributes in the payroll sector (00:13:32) Assessing Visma's current scale and potential for growth (00:17:45) Considering the shift to a cloud-native approach (00:20:49) Reflecting on key lessons from past errors (00:23:19) Strategies for scaling the business effectively (00:28:15) Weighing cash reinvestment against shareholder distributions (00:31:39) Øystein Moan's influence within the company (00:33:06) Deciding the right time for an IPO (00:39:23) Analyzing the risks facing Visma (00:41:22) Exploring Visma's competitive advantages Learn more about your ad choices. Visit megaphone.fm/adchoices

If you need proof that a self-funded, bootstrapping startup can make it big — with no special advantages or even extraordinary luck — this is the episode for you.  Creator-focused email marketing software ConvertKit is the company. College dropout Nathan Barry is the founder. And his story will erase any doubts you have about your […] The post MBA2279 Extended Interview: Nathan Barry – How to Grow a Self-Funded Software Business to $34 Million and Beyond appeared first on The $100 MBA.

If you need proof that a self-funded, bootstrapping startup can make it big — with no special advantages or even extraordinary luck — this is the episode for you. Creator-focused email marketing software ConvertKit is the company. College dropout Nathan Barry is the founder. And his story will erase any doubts you have about your own business potential. Omar and Nathan go way back, to a time before both had achieved real escape velocity with their SaaS products. In today's extended conversation, they reflect on the journey from there to here, and what allowed Nathan to turn a side project into a multi-million dollar company.From his rural home-schooled childhood to his early exit (for good reasons) from higher education, Nathan learned very early how much our destinies are really within our control. Because of that, he was able to take his own, much shorter path to success. It's enough to make you wonder why everyone doesn't cut their own path — until you hear how challenging the independent road can be. Learn how the freedom of entrepreneurship is a double-edged sword, and what it takes to make it on your own. This interview is full of priceless lessons for anyone wondering what's truly possible. Click Play!SUBSCRIBE ON APPLE PODCASTSSpotify| Podcast Feed| How To SubscribeGive us a Rating & ReviewShow LinksConvertKit

If you need proof that a self-funded, bootstrapping startup can make it big — with no special advantages or even extraordinary luck — this is the episode for you.  Creator-focused email marketing software ConvertKit is the company. College dropout Nathan Barry is the founder. And his story will erase any doubts you have about your […] The post MBA2279 Extended Interview: Nathan Barry – How to Grow a Self-Funded Software Business to $34 Million and Beyond appeared first on The $100 MBA.