We expected openai's announcement of the multi-modal models and built our platform to complement it. In modern LLM/agents, even openAI and Google have trouble defining their moat. So, as a bootstrapped startup, we are in no position to postulate a moat.

Instead, we aim to achieve a growing advantage by having considerable user adoption that exposes the agents and platform to the ever-growing long tail of unexpected edge cases. And boy, do we have weird edge cases in web design worldwide. But this is good and helps build up robustness. We have one agent per critical workflow to accommodate that. Despite this, our sign-in agent struggles with icon depictions. We purposefully didn't debug it or invest in computer vision, as we knew multi-modal was around the corner.

Instead, we invested in traditional engineering and ensured the table stakes and workflows were robust and scaled well. We use it ourselves multiple times per day on every pull request to ensure it feels natural.

But the most important thing is to find the users who help you build the leading tooling. Feedback is our oxygen, and we make sure there is a feedback button two clicks away.

Imho, this accumulation of smaller gains is as close to an advantage as possible, but what's your opinion on it?