How do tarpit ideas differ from simply bad startup ideas?

Tarpit ideas are a subset of startup ideas that are particularly attractive and often receive positive initial feedback, even from friends. Unlike merely bad ideas, they draw in founders repeatedly and share characteristics like being frequently attempted with no progress or significant shifts in technology.

Can new technology like AI make old tarpit ideas viable?

Yes, new technologies like LLMs and AI can potentially revive previously tarpit ideas by making them accomplishable in ways that weren't possible before. Founders need to clearly articulate how this new technology enables their idea, rather than ignoring past failures.

What are common patterns in AI startup ideas?

A common pattern discussed is the 'co-pilot for X' model, where an AI assistant is proposed for various professions. While not necessarily tarpit ideas, these are very common and often emerge from first principles when brainstorming AI startup concepts.

What are the main 'flavors' of tarpit ideas?

The two main flavors identified are: 1) A utopian belief that the world should work differently and everyone should adopt a new scheme, often related to social coordination or event planning. 2) Ideas focused on arbitrage or getting rich very quickly due to some secret knowledge or a limited window of opportunity.

How can founders avoid creating a tarpit idea?

Founders should always talk to users and get customer feedback, research historical attempts and failures in their space, and critically assess if current technology genuinely enables their idea. Skepticism is warranted if an idea seems too good to be true or receives excessive positive feedback without clear differentiation.

Key Moments

Tarpit Ideas: The Sequel

Y Combinator

Science & Technology6 min read14 min video

Jul 19, 2024|91,701 views|1,897|144

YC Y Combinator

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Key Moments

TL;DR

Tarpit startup ideas, once static traps, can now be sprung by new tech like AI, but beware of "X for Y" or utopian schemes that ignore human behavior and market arbitrage.

Key Insights

Tarpit ideas are not a static list; technological advancements, particularly AI and LLMs, can make previously unworkable ideas viable businesses.

A key characteristic of a tarpit idea is that it has been tried many times before, with consistent failure, and no significant technological change has occurred.

The 'X for Y' model, such as a 'co-pilot for every profession,' is a common startup idea pattern, but these are not necessarily tarpits, just frequently recurring concepts.

Two common flavors of tarpit ideas are: 1) A belief that the world should work differently and people will adopt a new scheme (e.g., social coordination apps), and 2) Seeking quick riches through arbitrage or exploitation of limited-time market inefficiencies.

Founders need to acknowledge historical failures of similar ideas and clearly articulate how new technology specifically enables their concept to succeed where others failed.

Ideas that sound too good to be true, receive excessive positive feedback, or seem inexplicably easy may warrant skepticism, suggesting they might still be tarpit territory.

Understanding the evolving nature of tarpit ideas

The concept of a 'tarpit idea' refers to startup concepts that attract numerous founders, yet consistently fail to succeed. Initially conceived as a cautionary tale, likening these idea spaces to quicksand for ambitious founders (dinosaurs), the sequel video emphasizes that tarpits are not a static, fixed list. Many entrepreneurs mistakenly believe a tarpit is simply an idea they personally dislike or that it represents a definitive category of 'bad' ideas. In reality, tarpit ideas are a specific subset characterized by their persistent attractiveness to founders and a history of failure, often stemming from a lack of user traction or fundamental viability. The critical distinction is that while many ideas are neither good nor bad, tarpit ideas possess an almost magnetic pull, drawing in founders repeatedly despite a lack of success. Founders often bypass crucial user research, believing the YC team can simply identify a tarpit for them, overlooking the foundational advice to validate with customers.

The allure and pitfalls of tarpit ideas

A peculiar characteristic of tarpit ideas is their tendency to elicit significant positive feedback from friends and peers. Unlike truly innovative or risky ideas that might be met with skepticism, tarpit ideas often sound intuitively good, addressing a relatable problem or presenting an appealing vision. For instance, the problem of deciding where to eat is familiar to many, leading to well-intentioned but ultimately unsuccessful startup attempts like 'X for Y' approaches to social dining or event coordination. This immediate positive reception can be misleading, masking the underlying difficulty in changing human behavior or executing the concept effectively. Founders often fail to research the history of similar ventures, a crucial step to avoid repeating past mistakes and to understand why previous attempts didn't gain traction.

Technology as a potential escape route from tarpits

Historically, tarpit ideas often persisted because the necessary technology to make them viable did not exist. However, rapid technological advancements, particularly in areas like Artificial Intelligence (AI) and Large Language Models (LLMs), are fundamentally changing this landscape. Dalton and Michael acknowledge that ideas previously considered tarpits might now be feasible. For a founder to succeed with such a concept, it's imperative to demonstrate how current technology enables a solution that was impossible before. This requires founders to not only acknowledge the historical failures of their idea space but also to clearly articulate the unique advantages offered by new tools like LLMs. For example, AI-generated podcasts or personalized content platforms, which might have been too ambitious or costly to develop pre-LLM, are now becoming viable businesses that Y Combinator is open to funding.

The prevalence of 'X for Y' startup patterns

A common pattern observed in startup ideation is the 'X for Y' model, where a successful concept is replicated across different industries or professions. Examples include 'co-pilot for real estate agents,' 'co-pilot for lawyers,' or 'co-pilot for dentists.' While these ideas are prevalent and often arise organically from founders trying to brainstorm AI-driven businesses, they are not necessarily tarpits. The key distinction is that not enough people have likely tried these specific 'X for Y' variations to form a historical pattern of consistent failure. Nevertheless, they represent a common wellspring of ideas, and founders should be aware that many others are likely exploring similar avenues.

Two distinct flavors of tarpit ideas

The video identifies two primary streams that feed into tarpit ideas. The first is a utopian desire to change how the world works, stemming from a belief that current systems are flawed and a better alternative can be implemented if only people would adopt it. This often involves creating platforms for social coordination, event planning, or simplified communication, assuming universal demand for a new app to manage these activities. The challenge here lies in the difficulty of altering ingrained human behavior; people may agree in principle but resist adopting new technological solutions for activities they manage informally. The second flavor is opportunistic arbitrage, where founders seek to capitalize on a perceived temporary market inefficiency or a window of opportunity for rapid wealth accumulation. This can involve leveraging insider knowledge, exploiting speculative market trends (like those seen on Wall Street Bets), or setting up businesses that promise quick riches without sustainable long-term value. These 'mercenary' approaches often look attractive but typically lack foundational viability.

Navigating the 'let's see' phase of new technology adoption

The current technological landscape, particularly with the rise of AI, is characterized by an 'okay, let's see' attitude. Unlike more mature sectors like B2B SaaS, which have established patterns and known outcomes after decades of development, AI is still in a phase where novel applications are being discovered and validated. This environment is fertile ground for founders who can identify problems that were previously intractable but are now addressable with new AI capabilities. The key is to connect a historical problem with a plausible technological solution, rather than simply rebranding an old idea with AI buzzwords. Founders need to be aware that many AI-generated demos and content are trained on existing online data, often featuring the creators themselves, leading to a somewhat meta and occasionally embarrassing feedback loop as technology improves.

Skepticism as a healthy founder trait

A final piece of advice offered is to approach ideas that seem too good to be true with a healthy dose of skepticism. If an idea receives overwhelming positive feedback, appears deceptively simple, or feels like it should have already been successfully implemented, these can be red flags. Such an idea might indeed be a tarpit, especially if historical attempts to execute it have consistently failed without a clear technological enabler. The YC team emphasizes the importance of talking to users and validating ideas, a fundamental step that many founders trying to identify tarpits overlook, often expecting others to label their idea for them rather than undertaking the necessary research themselves.

Mentioned in This Episode

●Software & Apps

●Concepts

Avoiding Tarpit Startup Ideas

Practical takeaways from this episode

Do This

Talk to users and get customer feedback.

Understand historical attempts and failures in your idea space.

Explain how new technology makes your idea viable now.

Be aware of common idea patterns like 'X for Y'.

Explore how current technology can solve specific problems.

Critically evaluate if your idea truly addresses a solvable problem with current tech.

Avoid This

Assume your idea is a tarpit just because it sounds good to friends.

Avoid researching the history of your idea space.

Ignore the fact that many have tried and failed before.

Build ideas solely on current hype or arbitrage opportunities.

Rely on a belief that the world 'should' work a certain way without market validation.

Believe that markets only go up forever.

Common Questions

A tarpit idea is a startup concept that attracts many founders and applicants, appears attractive from a distance, but ultimately leads to failure for most who pursue it, similar to a tar pit trapping dinosaurs. These ideas have often been tried before with little success and no significant change.