Three weeks into our journey of building AI-powered autonomous product development systems, and we just tackled our biggest challenge yet: Y Combinator's startup ideas. Spoiler alert—they're called challenging for a reason.
The Cursor for Product Managers Vision
Today we spent our time deep in the trenches working through what we're calling "Cursor for product managers"—and honestly, we're buzzing with excitement about it. For those unfamiliar, Cursor is the AI-powered code editor that's revolutionizing how developers work. We're asking: what would that look like for product managers?
The best part? We're making it open source. We genuinely hope someone takes our work and builds something amazing with it. That's the beauty of building in public—sometimes the most impactful thing you can do is plant seeds for others to grow.
The Reality Check: YC Ideas Aren't Weekend Projects
Here's where things got humbling fast. The Y Combinator ideas we've been tackling are significantly harder than our previous projects. Our first initial passes were, to put it diplomatically, "eh." Nothing like the smooth product development flow we've gotten used to over the past few weeks.
We had to make substantial changes and evolve the product concept multiple times. It's honestly a bit frustrating because we've had to put some other promising projects on pause. But there's method to this apparent madness—we want to see if our autonomous development machine can handle the really tough problems, not just the low-hanging fruit.
The difference is stark. While we've been able to move from idea to launch in single days before, these YC-caliber problems require deeper thinking, multiple iterations, and genuine problem-solving rather than just rapid execution.
The Organic Traction Surprise
Amidst all the YC complexity, we're seeing something incredible: organic traction starting to build across our existing products. People are actually finding and using what we've built, without us having to push it on them. There's something deeply satisfying about watching products find their audience naturally.
This organic growth feels different from anything we've experienced before. It's validation that our approach of building fast and launching frequently is starting to pay dividends beyond just learning velocity.
Tomorrow's Big Launch: haystax.work
All of this YC work is building toward something concrete. By the end of tomorrow, we're planning to launch haystax.work—our first product specifically built for the Y Combinator application process.
No spoilers yet on exactly what haystax.work does, but it represents everything we've learned about balancing speed with substance. It's the product where our autonomous development system finally tackles a genuinely difficult problem, rather than just proving it can move fast.
The pressure is real. This isn't just another daily launch—it's our attempt to prove that AI-powered product development can handle the kinds of challenges that matter to serious entrepreneurs and investors.
What We're Learning About Hard Problems
Three weeks in, we're discovering that there are really two types of products: those that test your ability to execute quickly, and those that test your ability to think deeply. The YC ideas firmly fall into the latter category.
Our autonomous system excels at rapid iteration and quick launches, but genuinely hard problems require something more—they need genuine insight, multiple attempts, and the willingness to throw away work that isn't good enough.
Tomorrow will tell us whether we've cracked this balance. Whether haystax.work becomes a milestone in our journey or a learning experience, it's definitely pushing our capabilities in new directions.