Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

marsbitPublicado a 2026-06-20Actualizado a 2026-06-20

Resumen

Alliance Co-founder's Letter to Entrepreneurs: On Cursor's $60 Billion Sale Many aspiring founders see massive exits like Cursor's $60B sale and wonder why they can't achieve the same, often concluding opportunities are exhausted. But great companies aren't built in obvious, crowded spaces. Cursor, like Stripe, Figma, and Shopify before it, started with a non-consensus belief about the future. Before ChatGPT, they believed AI would transform knowledge work. They focused on a genuinely exciting domain, became their own customer, and obsessed over power users. Their journey involved years of "glass-chewing" effort before the market was ready. The pattern is consistent: identify a long-term technological shift, find a missed entry point, and execute for years before the trend becomes obvious. First-generation products (PayPal, Adobe, Amazon) prove a market exists. Second-generation winners (Stripe, Figma, Shopify) rebuild that market around new insights, technology, or changing customer behaviors. Founders must identify their phase in the cycle. Early entrants like Coinbase or Cursor focus on making new technology usable for power users. Later entrants find the "yin" to the established "yang"—the blind spots incumbents miss as they grow distant from individual users. The key is deep market immersion. Use every product in your space. Talk to users. Build an audience. Stop looking for ideas and start *seeing* them everywhere. Then, choose one. The idea must offer a 10x improve...

Author: Imran

Translation: Jiahuan, ChainCatcher

Sitting in front of your computer, an entrepreneurial idea sparks. You see Cursor selling for $600 billion to Elon Musk. Perhaps the idols of the previous generation were Mark Zuckerberg or Evan Spiegel. You look at these founders and can't help but compare yourself to them. They don't seem much smarter than you. Their resumes aren't much more impressive than yours.

So you naturally ask yourself: Why can't I do the same? This is where most founders begin their journey. But this is also where most founders get stuck.

They see AI. They see crypto. They see thousands of startups that have already raised funding. Every space seems crowded. Every obvious idea has already been implemented.

They conclude: opportunity has run dry.

So they close their laptop, give up, and walk away.

This is how a huge portion of startups die in the womb. Not because the founders weren't capable, but because they thought the game was over before it even started.

Let's take Cursor as an example. Not every path is a direct and smooth one.

As early as 2022, Cursor began the "eating glass" grind. This was before ChatGPT existed. There was no ready-made playbook. No obvious market. Just a belief that AI would fundamentally transform knowledge work.

To stay grounded, they focused on three things. First, they picked a space they were genuinely excited about: AI. Second, they were their own customer. Third, they focused relentlessly on power users.

Because if you can win the power users, the rest becomes easy. Honestly, this story is not unique to Cursor.

Stripe started when online payments seemed solved, but the founders believed developers would increasingly become decision-makers inside companies, and whoever won developers would eventually win the internet. They had experienced the pain point themselves. While PayPal had proven online payments could work, Stripe saw the opportunity to build a "developer-first" version of that future.

Figma spent years building before the market was ready because they believed the future of design wasn't about better single-player design tools, but about everyone working together in the same file. Google Docs had shown the power of real-time collaboration for documents. Figma extended that insight to design.

Shopify started just to sell snowboards online because the founders believed millions of small businesses wanted to own their customers, their brand, and their destiny, rather than depend on big platforms. Amazon had proven centralized e-commerce worked. Shopify bet entrepreneurs would eventually want to be in the driver's seat.

Different products. Same pattern.

Each founder started with a non-consensus belief about where the world was headed, then spent years quietly building before that future became obvious to everyone. Their luck was catching a strong tailwind.

For Stripe, it was the conviction that more and more commerce would move online. For Figma, it was the belief that software would be cloud-first and collaborative by default. For Shopify, it was the hope that the internet would empower millions of entrepreneurs to build independent businesses.

Cursor followed a similar trajectory. The company was built on the belief that AI would fundamentally reshape knowledge work, and that software engineers would be the first power users to adopt it. The product feels obvious today, but when they started, there was no clear roadmap. Just belief.

Different products. Different markets. Same underlying logic.

Identify a long-term trend shift early, find the entry point others missed, spend years executing before the rest of the market catches up. Where there is Yang, there must be Yin. PayPal gave birth to Stripe. Adobe gave birth to Figma. Amazon gave birth to Shopify.

The first-generation product proved the market exists. The second generation rebuilds it around a new insight, new technology, or changing customer behavior. For founders, the important question is figuring out where you are in the cycle. If you're early, like Coinbase or Cursor, your opportunity is usually about making new technology practically useful for power users.

Coinbase didn't invent cryptocurrency. It just made buying and holding Bitcoin infinitely easier than managing your own wallet or wiring money to Mt. Gox.

Cursor didn't invent AI programming. It just realized autocomplete wasn't the endgame, and developers truly wanted an AI-native way of building software.

But if you're entering in the mid-to-late stages of a technological change, the opportunity often looks different. Infrastructure exists. The market is proven. Your job isn't to prove the technology works, but to find the 'yin' to the existing 'yang' — the blind spot the first players missed. Many of the greatest companies are born here.

Now you've identified your place in the technological change. You have a few ideas and are ready to get started, but then you realize something unsettling: you don't actually have many unique insights. You don't have a deep understanding of the market, the customers, or even the product. And that's perfectly normal.

This is when you must roll up your sleeves and start building your network, insights, and reputation. Thankfully, we live in an era where with X (Twitter), this is easier than ever. You can build an audience, meet customers, engage with power users, and learn directly from the people shaping the market.

The first thing I would do is use every product in the space. If you're starting a company in a category but aren't a power user of the leading products, it's hard to develop a unique perspective on where the market is headed. Map out every product in the ecosystem. Become a power user of each. Talk to people who love them, hate them, and have given up on them. Figure out why they stay, why they leave, and what they wish existed that doesn't.

You'll eventually discover that most markets aren't won because incumbents are stupid. They are displaced precisely because they became successful.

As companies grow, they naturally move further away from the individual user. Feedback cycles lengthen, edge needs are ignored, and a new generation of power users emerges that doesn't fit the existing product. This is where sharp founders spot the opportunity.

The goal isn't to think up an idea in isolation. The goal is to immerse yourself in the market until the missing piece becomes obvious. Once you do this long enough, you'll stop looking for ideas and start noticing them everywhere. This is the state you want to reach. You'll eventually find there are more opportunities than you could ever possibly pursue.

Next is the hard part: choosing one.

Once you've settled on an idea you believe is right, the next question is simple: Is this a 10x improvement, or a hair-on-fire pain point? If the answer is no, don't bother. People rarely switch products for marginal improvements. They switch when something is dramatically better, or when the pain is so severe it demands an immediate solution.

The easiest way to find hair-on-fire pain points is to look for people already hacking together workarounds. Spreadsheets, WhatsApp groups, manual processes, copying data between systems — these are all signals.

The best founders look for pain, because when the pain is big enough, customers will rip the product out of your hands. And when the pain is trivial, no amount of marketing, growth hacking, or clever positioning will save you.

Now you've validated the idea, found the pain, and are building the MVP.

With Claude, Codex, and all the AI tools, building has never been easier. Ironically, this becomes its own trap.

I found myself adding features just because I could. The product slowly became a Frankenstein monster. Every feature made sense in isolation, but together they made the product worse.

Eventually I went back to first principles. The most important question isn't what feature I should build. It's why someone would abandon their existing tools to use yours.

Every great startup has an answer to this. Cursor could have built another coding plugin. Instead, they forked VS Code. Developers already loved this editor, knew how it worked, and had it embedded in their workflow.

Cursor didn't ask users to learn something completely new. It let them keep doing what they already loved, just with AI baked directly into the experience.

The best startups rarely force users to learn completely new behaviors. Instead, they find familiar workflows, remove friction, and make them dramatically better.

As founders, we obsess over what we're building. Customers care about what they have to give up. The lower the switching cost, the higher the value created, the faster the adoption. That's why the best MVPs aren't feature-rich. They're incredibly focused, giving customers a single, undeniable reason to switch.

By this point, you've found the pain, built the MVP, and hopefully given customers a strong reason to choose you. Next is the part most founders underestimate: distribution.

I've seen founders spend months on product and five minutes thinking about how users will find it. The truth is, distribution is often the moat.

Airbnb didn't win because it had a better website. The founders knocked on doors, personally photographed apartments, and manually seeded cities one by one. Stripe recruited developers one by one. Coinbase was in Bitcoin forums long before crypto went mainstream.

Cursor is another perfect example. Their team posted on Hacker News six times. Most posts sank without a trace. They DM'd thousands of developers, listened to feedback with extreme patience, and won users one by one.

Today everyone says Cursor's success was inevitable. But for years, they did unscalable, manual work.

Founders love talking about product-market fit, but before product-market fit, you have to solve distribution-market fit. Where do your customers spend time? Who do they trust? How do they discover new products? The best founders don't just build product. They build distribution engines. Because the market can't fall in love with a product it's never seen.

The final stage of all this is grit, resilience, and refusing to quit.

Sadly, I can't teach you this. No one can. It can only be learned through experience.

Cursor is again a perfect case. They spent years building before the market matured. They posted repeatedly, DM'd thousands of users, and were ignored by most. In hindsight, it all makes sense. At the time, the future was far from certain.

The same pattern is everywhere.

Airbnb's founders were repeatedly rejected and even resorted to selling cereal boxes to keep the company alive.

Nvidia faced near-death experiences multiple times before becoming one of the world's most valuable companies.

Rain, a company in our incubator batch, was born after the FTX collapse, when most thought crypto was dead. While others fled the industry, they kept building. Years later, they raised over $100 million at a $2 billion valuation.

The lesson isn't that these founders are smarter than you. It's that they stayed in the game long enough for their insights to compound.

So, I've laid out the whole framework for you.

Look for shifts in technology cycles. Cultivate unique insights. Obsess over your market. Talk to customers. Find hair-on-fire pain points. Build the simplest possible wedge. Win your distribution.

And most importantly, when it gets hard, absolutely do not quit.

That's it.

There's no secret. Most people can't do these things consistently, for a long period of time. The very few who do end up building the great companies that the next generation of founders study.

The world is yours.

Go build.

Criptos en tendencia

Preguntas relacionadas

QAccording to the article, what is a common mistake that aspiring founders make when they see successful tech giants like Cursor?

AThe article states that aspiring founders often conclude that all the opportunities have been taken and the game is over, leading them to give up before even starting. This is a primary reason why many startups die prematurely, not due to a lack of founder talent but because they mistakenly believe there is no space left for innovation.

QThe article mentions a consistent pattern followed by companies like Cursor, Stripe, and Figma. What are the key elements of this pattern?

AThe pattern is: 1) Start with a non-consensus belief about the future direction of the world (e.g., AI will reshape knowledge work, developers will be key decision-makers, design will be collaborative). 2) Spend years building for that future in obscurity before it becomes obvious to everyone else. Their success hinges on riding a powerful tailwind, such as the shift to online commerce or cloud-native software.

QWhat is the 'yin' to the 'yang' strategy mentioned for founders entering a market in its middle or later stages?

AFor founders entering in the middle or later stages of a technology shift, the opportunity lies in finding the 'yin' to the existing 'yang.' This means identifying the blind spots or unmet needs of the first-generation players who have proven the market. Great companies are built by reconstructing the market around a new insight, technology, or changing customer behavior that the incumbents have overlooked.

QWhat does the article suggest is more important than product-market fit in the early stages, and why?

AThe article suggests that before achieving product-market fit, founders must first achieve 'channel-market fit.' This refers to figuring out the distribution channel. The author argues that the distribution channel is often the moat because customers cannot fall in love with a product they never see. Founders must build not just a product, but a distribution engine to reach their customers effectively.

QWhat final, crucial quality does the article say cannot be taught but is essential for founder success, using Cursor as an example?

AThe final, crucial quality is resilience, grit, and the refusal to give up. The article emphasizes this cannot be taught, only experienced. Using Cursor as an example, it highlights that they spent years building before the market was ready, faced repeated rejection (like ignored Hacker News posts and DMs), and persisted through difficult periods where the path forward was unclear.

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Desarrollo Continuo y Alianzas: Actualizaciones y mejoras continuas a las ofertas del proyecto, incluyendo alianzas estratégicas con otros actores en el espacio blockchain, han moldeado a SPERO,$$s$ en un jugador competitivo y en evolución en el mercado cripto. Conclusión SPERO,$$s$ se erige como un testimonio del potencial de web3 y las criptomonedas para revolucionar los sistemas financieros y empoderar a los individuos. Con un compromiso con la gobernanza descentralizada, la participación comunitaria y funcionalidades diseñadas de manera innovadora, allana el camino hacia un paisaje financiero más inclusivo. Como con cualquier inversión en el espacio cripto que evoluciona rápidamente, se anima a los posibles inversores y usuarios a investigar a fondo y participar de manera reflexiva con los desarrollos en curso dentro de SPERO,$$s$. El proyecto muestra el espíritu innovador de la industria cripto, invitando a una mayor exploración de sus innumerables posibilidades. Mientras el viaje de SPERO,$$s$ aún se desarrolla, sus principios fundamentales pueden, de hecho, influir en el futuro de cómo interactuamos con la tecnología, las finanzas y entre nosotros en ecosistemas digitales interconectados.

84 Vistas totalesPublicado en 2024.12.17Actualizado en 2024.12.17

Qué es $S$

Qué es AGENT S

Agent S: El Futuro de la Interacción Autónoma en Web3 Introducción En el paisaje en constante evolución de Web3 y las criptomonedas, las innovaciones están redefiniendo constantemente cómo los individuos interactúan con las plataformas digitales. Uno de estos proyectos pioneros, Agent S, promete revolucionar la interacción humano-computadora a través de su marco agente abierto. Al allanar el camino para interacciones autónomas, Agent S busca simplificar tareas complejas, ofreciendo aplicaciones transformadoras en inteligencia artificial (IA). Esta exploración detallada profundizará en las complejidades del proyecto, sus características únicas y las implicaciones para el dominio de las criptomonedas. ¿Qué es Agent S? Agent S se presenta como un marco agente abierto innovador, diseñado específicamente para abordar tres desafíos fundamentales en la automatización de tareas informáticas: Adquisición de Conocimiento Específico del Dominio: El marco aprende inteligentemente de diversas fuentes de conocimiento externas y experiencias internas. Este enfoque dual le permite construir un rico repositorio de conocimiento específico del dominio, mejorando su rendimiento en la ejecución de tareas. Planificación a Largo Plazo de Tareas: Agent S emplea planificación jerárquica aumentada por la experiencia, un enfoque estratégico que facilita la descomposición y ejecución eficiente de tareas complejas. Esta característica mejora significativamente su capacidad para gestionar múltiples subtareas de manera eficiente y efectiva. Manejo de Interfaces Dinámicas y No Uniformes: El proyecto introduce la Interfaz Agente-Computadora (ACI), una solución innovadora que mejora la interacción entre agentes y usuarios. Utilizando Modelos de Lenguaje Multimodal de Gran Escala (MLLMs), Agent S puede navegar y manipular diversas interfaces gráficas de usuario sin problemas. A través de estas características pioneras, Agent S proporciona un marco robusto que aborda las complejidades involucradas en la automatización de la interacción humana con las máquinas, preparando el terreno para una multitud de aplicaciones en IA y más allá. ¿Quién es el Creador de Agent S? Si bien el concepto de Agent S es fundamentalmente innovador, la información específica sobre su creador sigue siendo elusiva. El creador es actualmente desconocido, lo que resalta ya sea la etapa incipiente del proyecto o la elección estratégica de mantener a los miembros fundadores en el anonimato. Independientemente de la anonimidad, el enfoque sigue siendo en las capacidades y el potencial del marco. ¿Quiénes son los Inversores de Agent S? Dado que Agent S es relativamente nuevo en el ecosistema criptográfico, la información detallada sobre sus inversores y patrocinadores financieros no está documentada explícitamente. La falta de información disponible públicamente sobre las bases de inversión u organizaciones que apoyan el proyecto plantea preguntas sobre su estructura de financiamiento y hoja de ruta de desarrollo. Comprender el respaldo es crucial para evaluar la sostenibilidad del proyecto y su posible impacto en el mercado. ¿Cómo Funciona Agent S? En el núcleo de Agent S se encuentra una tecnología de vanguardia que le permite funcionar de manera efectiva en diversos entornos. Su modelo operativo se basa en varias características clave: Interacción Humano-Computadora Similar a la Humana: El marco ofrece planificación avanzada de IA, esforzándose por hacer que las interacciones con las computadoras sean más intuitivas. Al imitar el comportamiento humano en la ejecución de tareas, promete elevar las experiencias de los usuarios. Memoria Narrativa: Empleada para aprovechar experiencias de alto nivel, Agent S utiliza memoria narrativa para hacer un seguimiento de las historias de tareas, mejorando así sus procesos de toma de decisiones. Memoria Episódica: Esta característica proporciona a los usuarios una guía paso a paso, permitiendo que el marco ofrezca apoyo contextual a medida que se desarrollan las tareas. Soporte para OpenACI: Con la capacidad de ejecutarse localmente, Agent S permite a los usuarios mantener el control sobre sus interacciones y flujos de trabajo, alineándose con la ética descentralizada de Web3. Fácil Integración con APIs Externas: Su versatilidad y compatibilidad con varias plataformas de IA aseguran que Agent S pueda encajar sin problemas en ecosistemas tecnológicos existentes, convirtiéndolo en una opción atractiva para desarrolladores y organizaciones. Estas funcionalidades contribuyen colectivamente a la posición única de Agent S dentro del espacio cripto, ya que automatiza tareas complejas y de múltiples pasos con una intervención humana mínima. A medida que el proyecto evoluciona, sus posibles aplicaciones en Web3 podrían redefinir cómo se desarrollan las interacciones digitales. Cronología de Agent S El desarrollo y los hitos de Agent S pueden encapsularse en una cronología que resalta sus eventos significativos: 27 de septiembre de 2024: El concepto de Agent S fue lanzado en un documento de investigación integral titulado “Un Marco Agente Abierto que Usa Computadoras Como un Humano”, mostrando las bases del proyecto. 10 de octubre de 2024: El documento de investigación fue puesto a disposición del público en arXiv, ofreciendo una exploración profunda del marco y su evaluación de rendimiento basada en el benchmark OSWorld. 12 de octubre de 2024: Se lanzó una presentación en video, proporcionando una visión visual de las capacidades y características de Agent S, involucrando aún más a posibles usuarios e inversores. Estos marcadores en la cronología no solo ilustran el progreso de Agent S, sino que también indican su compromiso con la transparencia y la participación comunitaria. Puntos Clave Sobre Agent S A medida que el marco Agent S continúa evolucionando, varios atributos clave destacan, subrayando su naturaleza innovadora y potencial: Marco Innovador: Diseñado para proporcionar un uso intuitivo de las computadoras similar a la interacción humana, Agent S aporta un enfoque novedoso a la automatización de tareas. Interacción Autónoma: La capacidad de interactuar de manera autónoma con las computadoras a través de GUI significa un salto hacia soluciones informáticas más inteligentes y eficientes. Automatización de Tareas Complejas: Con su metodología robusta, puede automatizar tareas complejas y de múltiples pasos, haciendo que los procesos sean más rápidos y menos propensos a errores. Mejora Continua: Los mecanismos de aprendizaje permiten a Agent S mejorar a partir de experiencias pasadas, mejorando continuamente su rendimiento y eficacia. Versatilidad: Su adaptabilidad en diferentes entornos operativos como OSWorld y WindowsAgentArena asegura que pueda servir a una amplia gama de aplicaciones. A medida que Agent S se posiciona en el paisaje de Web3 y criptomonedas, su potencial para mejorar las capacidades de interacción y automatizar procesos significa un avance significativo en las tecnologías de IA. A través de su marco innovador, Agent S ejemplifica el futuro de las interacciones digitales, prometiendo una experiencia más fluida y eficiente para los usuarios en diversas industrias. Conclusión Agent S representa un audaz avance en la unión de la IA y Web3, con la capacidad de redefinir cómo interactuamos con la tecnología. Aunque aún se encuentra en sus primeras etapas, las posibilidades para su aplicación son vastas y atractivas. A través de su marco integral que aborda desafíos críticos, Agent S busca llevar las interacciones autónomas al primer plano de la experiencia digital. A medida que nos adentramos más en los reinos de las criptomonedas y la descentralización, proyectos como Agent S sin duda desempeñarán un papel crucial en la configuración del futuro de la tecnología y la colaboración humano-computadora.

492 Vistas totalesPublicado en 2025.01.14Actualizado en 2025.01.14

Qué es AGENT S

Cómo comprar S

¡Bienvenido a HTX.com! Hemos hecho que comprar Sonic (S) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Sonic (S) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Sonic (S)Después de comprar tu Sonic (S), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Sonic (S)Tradear fácilmente con Sonic (S) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

1.0k Vistas totalesPublicado en 2025.01.15Actualizado en 2026.06.02

Cómo comprar S

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de S (S).

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