Lee Cooper

Most founders think they have a talent problem. They do not. They have a system problem. You can hire smart people, pay top of market and run the right interviews, yet still end up in chaos. The issue is not the people. It is the operating system they walk into. Here is the uncomfortable truth I learnt after 30 years building and fixing hiring for founders: Great companies are not built on intuition. They are built on systems that make good decisions inevitable. When hiring fails it is rarely because the candidate was wrong It is because the environment had no: • clear success profile • consistent filtering • reliable evaluation loop • onboarding rhythm • feedback architecture Founders think they are judging talent. In reality they are judging noise. Once you see this, you cannot unsee it. Hiring becomes repeatable only when you build the system around it. Talent becomes a multiplier only when the environment lets it compound. That is why I built FounderFlow. Not as another tool or service but as the system that fixes hiring at source so founders recruit the people they need, when they need them, to build the company their vision deserves. If you want to scale without chaos, start with the system, not the CV.

Building for 100% of use cases is exactly where most internal tools start to collapse. Scope increases, edge cases multiply & suddenly your one engineer is maintaining a mini-SaaS company inside your firm. The unlock is deciding which 20% of the workflow you must own and letting everything else stay external. That is how custom tools keep compounding instead of becoming hidden debt.

@FounderFlowHQ @HarryStebbings @jonsidd True. As an Accounting services firm with 1 FT dev on the team, we are now starting to build tools for our clients. We expect to build robust tools that cover 100% of use cases rather than rely on software that covers only 80%.

SaaS is Over: " SaaS apps were built at a time when software was relatively hard to build.  Now many of these AI applications are easy to build on top of these LLMs. Most companies will start building custom software super easily." @jonsidd Love to hear your thoughts on this @destraynor @dharmesh @craigzLiszt @jasonlk @FabianHedin @spenserskates

@asmartbear When you hire people then tell them how to do every step, you are not building a team. You are building a dependency. The moment you design a system where others can think, decide and improve the work, the organisation finally outgrows you.

If you hire people, and then tell them how to do every little thing, then you're building an organization that will never be better than you, and never have better ideas. Your job is to do exactly the opposite.

@thejustinwelsh A backup plan is not paranoia. It is operating system design. When you build for resilience rather than hope, one decision from someone else never dictates your future.

Your company has a succession plan for when you leave. If you don't have one for when they leave you, then you're completely unprepared. There's never been a better time to have a backup plan.

@austinh___ Speed builds trust, but it is the underlying system that makes that speed repeatable. Anyone can fix one issue quickly. The teams that win are the ones that design a feedback loop where fast, thoughtful responses become the norm rather than the heroic exception.

Fast solutions to customer problems aren’t just about speed - they create trust. This is a way that early-stage startups can easily differentiate. When users realize their feedback matters and gets acted on immediately, that respect shapes loyalty. It’s a subtle but powerful flywheel of product and people.

@thenickpattison Spotting undiscovered talent is an edge. Turning it into repeatable advantage is a system. Anyone can get lucky once. The real moat is being able to identify, hire and develop those people consistently before the market sees them.

The real edge in building an agency is an eye for undiscovered talent. Everyone fights for the same known people. The secret is finding the superstars before the spotlight hits

@agazdecki Distribution before product only works if you have absolute clarity on the problem you are solving. Otherwise you scale noise. A strong system starts with a precise problem then builds distribution then shapes the product around what the market proves.

Focus your startup on distribution 1st then build the best product 2nd.

@hnshah The fastest route to clarity is constraint. Define the decision, define the sources, define the cadence. Everything else is distraction dressed as insight. Pattern recognition only emerges when the inputs stay still long enough.

Clarity grows when you narrow the field. Start your workday by writing the single decision that matters most. Let every input serve that decision. If it doesn’t, remove it. This one shift steadies your mind fast.

Everyone feels overwhelmed but no one wants to admit that the pace of information is now faster than their ability to integrate it. The mind was not built for constant input. It was built for patterns. The work now is learning what to ignore.

@hnshah Most people drown in inputs because they have no operating system to filter them. When you know the single decision you are optimising for, information stops being noise and becomes signal. Depth is a system choice, not a consumption habit.

Instead of tracking more sources, choose three you trust and ignore the rest. Depth comes from returning to the same inputs long enough to see patterns most people miss.

@THEROSSHARKNESS Most “problems” are not problems at all. They are symptoms of a missing or misaligned system. Fix the system once and the symptom never returns. Scale only exists when repetition becomes reliability.

Every problem in your business is a systems problem.

@jmj The mistake is thinking mandate creates edge. It is the other way round. Edge creates the right to expand. Win small, prove the system, then scale the system. That is how trust compounds.

There’s a real tension in venture between building a clearly defined firm and keeping the freedom to chase the absolute best returns. Most firms start by calling themselves “seed funds.” It’s the default, especially when your first fund is sub-$100M unless you’re a spinout with instant LP gravity. I recently had a conversation with a well-known GP (now a major LP in funds) who basically rejects the idea of branding yourself “seed” on day one. His argument was simple: the minute you call yourself a seed fund, you’ve boxed yourself in. You’ve capped the opportunity set before you’ve even begun. The biggest franchises in the industry never limited themselves to a stage. Sequoia, a16z, Founders Fund have all architected models built on maximum strategic flexibility. @JoshuaKushner talked about this when he started Thrive. He deliberately avoided stage or sector labels because the entire premise was to optimize for returns, not fit into the standard LP taxonomy. Of course, that pitch is brutally hard as a first-time manager. It works primarily if you can attract endowments, foundations, pensions, sovereigns. I’ve always thought about firm-building as “earning the right to expand.” Prove you can win as a seed investor, show real edge, and then scale into a broader strategy. That’s often how the most interesting emerging managers graduate into true franchises. And as “seed” drifts from $3M rounds to $10M rounds to whatever-we’re-calling-$100m-now, I’d love to see more creativity in portfolio construction from both GPs and LPs. Venture has evolved, and our portfolio-construction playbooks need to evolve with it.

@rajshamani True confidence is built through evidence. When your actions repeat, your brain learns to trust you again. Habits create the proof that hype never can.

You think you need confidence to start. But confidence is just your brain trusting your history. If your history is full of “I’ll do it tomorrow,” your confidence will always feel fake. Fix the pattern, not the emotion.

@eriktorenberg Gratitude is underrated as a performance multiplier. It reduces noise, steadies judgement and removes the ego’s need to force outcomes. When you operate from that place you make clearer calls and you build with more generosity and far less fear.

"The more you become a connoisseur of gratitude, the less you are a victim of resentment, depression, and despair. Gratitude will act as an elixir that will gradually dissolve the hard shell of your ego—your need to possess and control—and transform you into a generous being. The sense of gratitude produces true spiritual alchemy, makes us magnanimous—large souled"

@DominiqueCAPaul Short-term momentum feels good but long-term foundations are what stop the whole thing collapsing under its own success. The work that feels slow today is often what saves you years later. That pattern shows up in hiring, engineering and everything in between.

When you’re building, it’s tempting to focus only on actions that create immediate momentum - especially once you’ve had a taste of it. But thinking about things in the long-term makes it easier to do the less glamorous work that actually matters. I never spent much time on RL, presumably the most essential ingredient for reliable robots. Now it’s time to catch up and build a solid foundation. A bit painful as it doesn’t feel like the best thing to do to accomplish my 3-month plan, but indispensable for the next 5 years and with that timeline in mind now’s exactly the right time.

Generalists help you survive the chaos of the early days. Specialists help you remove it. The moment a company hits that twenty-person threshold the game changes from optionality to precision. Scaling is not about doing more. It is about doing one thing so well that the system compounds.

In our first 20 people we hired generalists so that we could do more with less people, but as Unify’s grown we’ve changed that approach. Around 20 people, we reached a point where we needed people who are world-class at one thing and obsessed with improving it. Engineers who have experience scaling databases with tons of data, or growth people with expertise on a specific channel. Generalists help you start. Spiky people help you scale.

@marcrandolph An idea inside your head feels perfect because nothing has stressed it. The moment you put it into the world you get data. Systems are built from that data, not from theory.

You don’t learn much by protecting ideas. You learn by letting them run into reality.

@mashadrokova The best CEOs are not defined by how much code they can write but by how well they can build the structure that lets brilliant technical people win. Talent allocation beats technical brilliance every time.

One of the biggest disproportionate advantages a startup can have today is a cracked technical founder/CTO serving as a CEO. Given the current pace of technological change, this is shifting from “nice-to-have” to an essential requirement for success.

@agazdecki Optimism is the spark. Resilience is the fuel. The real breakthrough comes when you build a structure that carries you through the volatility. The founders who last are the ones who stop relying on hope and start relying on process.

Startups are a series of setbacks disguised as progress. And somehow you keep going. Because building something from nothing requires unreasonable optimism.

@MartinGTobias Execution, timing and funding all matter, but none of them compensate for a broken operating system. If the machine behind the idea is weak, everything else collapses under scale. The companies that win are the ones that build the system first.

Which one do you think matters more? - Funding - Idea - Execution - Timing

@ryolu_ The real shift is not that generalists are dead. It is that the best performers today are the ones who can operate across disciplines without creating chaos. The skill is integration, not breadth. Teams win when people can switch context without losing clarity.

the old way of scaling teams is dead: we used to hire specialists – designers, engineers, PMs – each in their lane, scaling by adding more people. but when Cursor can take you from idea to code in minutes, execution isn't the bottleneck anymore. taste and judgment are. what matters now: people who can see the full stack, move between layers, but specialize deeply in something AI can't replicate yet. T-shaped but way wider – conversant across domains, expert in one thing. AI doesn't just make you faster. it ties teams together differently. no more waterfall – designer codes the prototype, engineer extends it, both work in the same medium. the gap between disciplines disappears. this raises individual ceilings. i'm a designer who built ryOS entirely in Cursor – couldn't have done that before. but i'm not replacing engineers, i'm just removing execution barriers while keeping my design taste and systems thinking. you're not hiring for roles anymore. you're hiring for breadth + depth, taste, systems thinking, learning velocity. 5 people who can work across code/design/product beat 20 specialists coordinating handoffs. the new bottlenecks are deeply human: taste, vision, judgment, context. AI explores options, but can't tell you which is right. that's where specialization matters now – in judgment, not execution. small teams, fluid boundaries, everyone working in the same tools. roles still matter but as overlapping concerns with different depths, not separate silos. tools handle execution, you handle vision. this is what we're building at Cursor – closing the gap between idea and reality. so your taste becomes the main thing, and teams have more freedom to explore crazy ideas.