Forget Point Solutions: Embrace the Rise of Compound Startups The "Lean Startup" methodology was great for 2010. Focus on a single, narrow problem, solve it perfectly, then scale. But times have changed! Here's why I believe founders should embrace "Compound Startups" today: 1. Cloud Power: Gone are the days of limited, expensive databases. Cloud services like AWS offer a mind-blowing array of tools, including AI-as-a-Service, making it easier than ever to build complex solutions. 2. Amplified Teams: AI is supercharging development! Smaller teams can now create a much larger "quantum" of software. 3. Bigger Seed Rounds: Today's seed rounds average $4-5 million, compared to $200k-$400k back in 2010. This allows founders to build more right from the start. The Compound Startup Approach: Identify your target persona and their broader needs. Build a solution that addresses multiple pain points within their ecosystem. Continuously iterate and add features, creating a comprehensive platform. Example: Rippling Started with 3 SKUs - Today they offer 27! They continuously solve problems for their target audience, HR teams. Founders, ditch the point solution! Think bigger. Think "compound." Let's discuss in the comments! What are your thoughts on this approach? #Startups #Entrepreneurship #CompoundStartups #TheFutureIsNow #Rippling #Docket #Leanstartup
So true. Although one downside of having so many tools to help build a compound startup is that Founder's might get a bit distracted into building certain improvements/solutions that probably doesn't have as much as value as they think it might have. (been there myself too)
🎯 a 100% agree and I believe this shift is going to help entrepreneurs be more successful in targeting the persona and building one stop shops that address problems for that persona. Rippling, Deel, Ashby are all good examples in the HR tech space.
What are your thoughts on integrating vs building compound solutions? Is it possible to be number 1 in every category or does consolidation work better?
This is a very interesting take, gonnd dig more into Rippling to understand better.
Trying to do everything at once with cloud tech and AI is like giving a kid a whole toolbox and saying 'build a house'. Overwhelm leads to bloated products and wasted runway! Arjun Pillai
Thanks for this, Arjun Pillai
Absolutely love this! Thank you for sharing this, Arjun!
I adore this take, but totally disagree. That is to say, there are easier ways than "build more things because you have more money and you can try to disrupt people by being all in one." <--Now you have to push them off 5 tools? This is a harder sale! I think a BETTER approach is: 1. Figure out who technology has totally left behind (like stone ages) 2. Figure out who, of those people, have the most money if only X problem was solved. 3. Deploy AI to their solution. I think the problem is startups built software to sell to other startups in zero interest rate environments and the music has stopped now. And so there's no one left to sustain the 10 venture backed companies that all sold to PLG companies (of which there are ~2-4k). I like FleetPanda - Petroleum Logistics Software and Supermove and Shopmonkey because these companies narrow in on an industry, and solve their problems... and these industries missed out on the last several waves of innovation---and they have PROFITABLE businesses they sell to... so there's just so much to market selection.
Technology Leader
6moTo do what rippling was able to do, you need a team like rippling did, the calibre of the founder meant that they were almost 100pc guarantee that they would secure funds and grow rapidly