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Y Combinator | 29 min

In this discussion from Startup School Paris, PostHog CEO James Hawkins reflects on a number of startup topics including going from one product to twenty, why European founders need to stop focusing on negative The discussion highlights the advantages of ambitious startup ideas, emphasizing their ability to attract investors and talent by focusing on potential success rather than risks. It contrasts American and European approaches to ambition, suggesting that bold visions are more appealing. The role of AI in product management is also explored, indicating a shift towards AI-driven insights.

Ambitious visions attract top talent and investors

Investors are drawn to startups that emphasize the potential upside, as they are more interested in the 'what if it all works out' scenario. Similarly, ambitious startups find it easier to hire top talent, as these individuals are attracted to the potential for significant impact and success.

This principle underscores the strategic advantage of presenting a bold vision to attract the necessary resources for growth.

Founders should pitch their startups with a focus on ambitious goals and potential success to attract investors and top talent.

While conventional wisdom might suggest caution, this approach advocates for boldness in vision and ambition.

American ambition outpaces European caution

The cultural acceptance of declaring ambitious goals in the US contrasts with the more cautious approach often seen in Europe. This difference influences how startups are perceived and their ability to attract investment and talent.

Understanding these cultural differences can help founders tailor their strategies to better align with investor expectations and market opportunities.

European founders may benefit from adopting a more ambitious approach to align with investor expectations.

European caution is often seen as a strength, but this perspective suggests it may limit potential opportunities.

AI outperforms humans in product management

AI's ability to process and analyze large datasets allows it to provide insights that surpass human capabilities. As a result, product managers will need to focus more on configuring AI systems rather than traditional management tasks.

This shift highlights the growing importance of AI in strategic decision-making and product development.

Product managers should develop skills in AI configuration and data analysis to remain relevant.

Some may argue that human intuition and creativity cannot be replaced by AI, but this perspective emphasizes AI's analytical strengths.

Differentiate to succeed in crowded markets

With many competitors vying for attention, startups must differentiate themselves to capture market interest. This requires innovative marketing strategies that highlight unique value propositions.

Differentiation is key to gaining a competitive edge and ensuring long-term success in saturated markets.

Startups should focus on unique branding and messaging to stand out in crowded markets.

While some may focus on creating demand, this approach emphasizes differentiation as the primary challenge.

Positive culture prevents founder burnout

Once a startup achieves product-market fit, maintaining a positive and engaging work culture becomes essential to sustain founder motivation and prevent burnout. Preventing burnout is critical for sustaining long-term productivity and innovation within startups.

Founders should prioritize creating a supportive and enjoyable work environment to maintain team morale and energy.

Some may prioritize aggressive growth over culture, but this perspective highlights the importance of balance.

Watch the full conversation on YouTube

Founders Podcast | 54 min

Peter Thiel emphasizes the importance of building creative monopolies by focusing on unique, innovative business ideas that provide significant value and are driven by a founder's vision and long-term planning. He argues that successful entrepreneurs think from first principles, prioritize long-term durability over short-term metrics, and start with small markets before expanding. Creative monopolies benefit society by adding new categories of abundance and capturing more value than undifferentiated competitors. Thiel also highlights the role of courage, the singular nature of creation, and th

Creative monopolies expand consumer choice and value

Creative monopolies are companies that are so good at what they do that no other firm can offer a close substitute. They add entirely new categories of abundance to the world, providing more choices for customers and capturing more value than millions of undifferentiated competitors.

This principle underscores the societal benefits of creative monopolies, which not only dominate their markets but also enhance consumer choice and economic value.

Entrepreneurs should aim to create businesses that offer unique value propositions, thereby establishing a monopoly in their niche.

A founder's vision is irreplaceable for success

The creation of new value in business cannot be reduced to a formula and requires a founder's unique vision. Steve Jobs exemplifies the importance of long-term planning and a founder's vision in a company's success, as seen in his turnaround of Apple.

This emphasizes the irreplaceable role of founders in steering companies towards long-term success and innovation.

Founders should focus on developing a clear vision and long-term strategy for their businesses.

Contrary to the belief that professional managers can replace founders, the unique vision of a founder is crucial for success.

First principles thinking uncovers hidden value

Every act of creation in business is unique, resulting in something fresh and strange. Successful entrepreneurs often find value by thinking from first principles rather than following established formulas.

This highlights the importance of originality and foundational thinking in entrepreneurship, which can lead to groundbreaking innovations.

Entrepreneurs should focus on developing unique ideas and approaches rather than relying on existing best practices.

Contrary to popular belief, following established business formulas may not lead to success.

Start small to build a durable business

Every startup should start with a very small market to establish dominance before expanding. Successful companies focus on long-term durability, which is often overlooked in favor of short-term metrics.

This approach helps startups build a strong foundation and ensures sustainable growth over time.

Entrepreneurs should prioritize building a strong market presence in a niche area before scaling up.

Contrary to the focus on rapid growth, long-term durability is more important for sustained success.

Watch the full conversation on YouTube

Product teams like to believe that great products begin with an original idea. That belief causes a lot of bad products.

Most teams do not fail because they lack ideas. They fail because they change too many things at once. They redesign the workflow, invent new user habits, add new features, choose a new business model, and then try to explain the whole thing to a market that never asked for it.

When the product fails, nobody knows why.

Was the idea wrong? Was the user flow weak? Was the product hard to understand? Did the team build the wrong feature? Did users dislike the price? Or did they simply not care?

This is the problem that Mark Pincus tried to solve with the Proven, Better, New framework.

He developed the idea at Zynga after his experience with Tribe.net, where the team tried to rethink too many parts of the product. Pincus later described the result as “death by 1,000 compromises.”

The lesson was simple: innovation works better when you limit it.

A strong product does not need to be new in every way. It needs a proven base, an obvious improvement, and one clear area of risk.

Start With Proven

The first part of the framework is Proven.

Proven means starting with a product pattern, feature, habit, or mechanic that users already understand and value.

This is where many product teams struggle. They think using an existing pattern shows a lack of imagination. They want to create a new navigation model, a new interaction method, a new pricing structure, and a new category at the same time.

That is usually ego, not product thinking.

Users do not reward teams for inventing a new way to complete a basic task. They reward products that help them complete the task with less effort.

A product team should not ask, “How can we make this look original?”

It should first ask, “What already works, and why?”

That means studying successful products in detail. Look at the screens, the steps, the prompts, the rewards, the feedback, the defaults, and the way users move from one action to the next.

The point is not to copy the design without thought. The point is to understand the choices that have already survived contact with users.

Zynga Poker did not try to reinvent poker. It used table layouts and game rules that players already knew. That gave users a familiar base and allowed Zynga to focus on the parts that could improve growth and use.

This approach also improves testing. When the basic experience already works, the team can judge the new idea on its own merit. When the basics are weak, every test gives unclear results.

Better Must Be Obvious

The second part is Better.

Better does not mean different. It does not mean more advanced. It does not mean adding more features.

Better means users can see the gain at once.

The product may be faster, cheaper, simpler, easier to access, or more pleasant to use. The key is that the improvement does not need a long pitch.

Removing a forced download is better. Cutting ten steps to three is better. Making the product free can be better. Improving speed by a clear amount is better. A cleaner interface can be better if it helps users complete the task with less effort.

Product teams often lie to themselves at this stage.

They call a new idea “better” because they like it. They assume users will see the same value. But unless the gain is clear and broad, it is not Better. It is New.

That difference matters because New carries far more risk.

Slack offers a useful example. Workplace chat already existed. HipChat had many of the same core functions. Slack did not win because it invented team messaging. It made the experience more polished, easier to adopt, and more pleasant for a wider set of users.

The base was proven. The gain was clear.

New Is Where Products Usually Break

The third part is New.

New is the part of the product that has not been tested with that audience, use case, or market.

It is also the part most likely to fail.

Pincus used the phrase “All New Fails.” The point was not that every new idea will fail. The point was that teams should treat new ideas as guilty until proven useful.

That is the opposite of how many teams work.

Most teams fall in love with the New part. They spend most of their time discussing it, naming it, designing it, and defending it. They treat the proven parts as boring and the new part as the source of all value.

In practice, the new part often creates confusion, weak demand, or added effort for the user.

The right way to test New is to isolate it.

Keep the rest of the product familiar and reliable. Then change one major thing. This gives the team a clear result.

If the test fails, the team knows the new idea failed. If the product changes five things at once, failure teaches nothing.

The anonymous social app tbh used a proven model: anonymous social sharing. Its new idea was to make the experience positive by using pre-written polls instead of open text.

The team did not invent a new social network from the ground up. It changed one key rule.

That is controlled innovation.

Platform Shifts Make Proven Ideas Valuable Again

This framework matters even more during a large platform shift.

When the web grew, many successful companies moved proven offline services online. When mobile grew, companies rebuilt proven web products for phones. They did not need a new human need. The new platform changed access, use, and reach.

AI has created the same type of opening.

A lot of founders think an AI product must introduce a new category, a new work model, and a new user habit. That is not true.

In many cases, the best AI product will take a proven workflow and make it much faster, cheaper, or easier.

• The AI model already provides the New element.
• The product itself may only need Proven and Better.

This is why many simple AI products can beat more ambitious ones. They do not ask users to learn a new way of working. They improve a task the user already performs.

The hard part is not adding AI. The hard part is choosing a task where AI creates a clear gain.

Originality is overrated

Product teams often reject this framework because they do not want to look like they copied someone else.

This concern has some value. A company should not steal protected work, mislead users, or build a weak clone with no edge.

But many teams take this concern too far. They refuse to use proven patterns because they want every part of the product to feel original.

That is a poor use of time.

A checkout flow does not need to be original. A settings page does not need to be original. A sign-up flow does not need to be original. These parts need to work.

The team should spend its limited skill and time on the few parts where a new idea may create a real advantage.

This is what strong product builders do. They study what works, adopt it where it makes sense, improve it where users feel pain, and innovate only where the gain can justify the risk.

The Real Job of a Product Team

The job of a product team is not to maximise novelty.

It is to reduce uncertainty.

Proven reduces the risk that the core experience will fail.

Better gives users a reason to switch.

New creates the chance for a strong edge.

The order matters.

Most weak products start with New and try to patch the basics later. Strong products start with Proven, create an obvious Better, and then test New in a narrow way.

The final formula is simple:

Proven reduces risk. Better creates preference. New creates an advantage.

The hard part is not coming up with ideas.

The hard part is knowing which ideas not to build.

What’s your take?