Yijun Lee

What Makes a Meaningful Pursuit for an Early-Stage Startup?

When building a product as a startup, it’s almost inevitable that you’ll reach a point where you need to pivot, whether it’s at the hypothesis stage or after launching a product. But how can we ensure that a pivot becomes more than just a change in direction and actually leads to real growth for the team and product?

My conclusion was this: we need to clearly define the domain we want to focus on and pivot only within that space.

This is because I believe that the insights, experiences, and networks gained from each attempt should directly contribute to the next challenge. Of course, there are many teams that have succeeded in other ways, but for us, this approach felt like the most efficient path for fast growth and real progress.

That’s why I decided to focus on “Agent.”

I am well aware that there are skeptics who argue “Agents are just hype” or “The buzz is already over.” But the market is still paying attention to agents and game-changing products are continuing to emerge. Protocols like MCP and A2A are also being released leading to rapid growth of the agent ecosystem.

Rather than debating whether it’s a red ocean or blue ocean, I see this pace of growth and ecosystem development as an opportunity that can’t be disregarded - and the inevitable challenges that arise from this fast-pace development are both the problem startups are meant to solve and chances which startups should take.

I have been building LLM applications since early 2023, even before the concept of “agents” became mainstream. Thanks to my existing network, I have a network of hundreds of potential users; this greatly influenced my decision to concentrate on this field - agent.

Now it’s your turn. How are you navigating your own startup journey? I am always eager to learn from others.

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Thomas Schranz ⛄️

I also think it helps to pick a problem space you really like.

Marry the problem, not the solution.

Whatever your v0.1 is might not be exactly what people need but if you have a great problem space you will learn more about it and eventually find things that you can solve in it.

That's also why I think "Agents" and building tools for agents in a problem space can be a great way to start out.

Because instead of thinking about how you name your product or how the website should look like or what kind of UI to build you can focus on which tasks you want to give an agent that would be useful to it and you can observe how the agent is using the tools and then add more tools and improve existing tools as you learn more.

What might look like pivoting if it were a landing page is just iterating on making the agent + tools better.

Anecdote: I recently started to use Claude Code not only for coding but also for doing technical SEO like analyzing robots.txt for crawl rules for search engine crawlers (e.g. Google, Bing, Brave, …) but also ai crawlers (ChatGPT, Perplexity, Apple Siri, Amazon Alexa and so on) as well as Google Core Web Vitals checks.

Then I realized even though Claude Code can do this well it is quite slow as there are many manual steps involved and between each step Claude Code does a lot of thinking.

So I started to move more and more functionality into an MCP.
(Technical SEO MCP, currently #3 on Product Hunt https://www.producthunt.com/products/technical-seo-mcp)

And now Technical SEO MCP not only works in Claude Code but also in Google Gemini CLI, OpenAI Codex CLI, Amp, LM Studio and many more.

So it even runs without a Claude or ChatGPT subscription.

I think the same step by step process will work for other problem spaces as well.