I run an AI tools directory with 1000+ tools. Here's what I've noticed about which AI tools actually survive and which disappear.

I've been running AI Parabellum, an AI tools directory, for a while now and I've had a front row seat watching AI tools launch, grow, and die. After tracking 1000+ tools here are some patterns I've noticed. Most AI tools that launch today won't exist in 12 months. The ones that disappear usually share the same problems: They're thin wrappers around a single API with no real value on top The founder launched it, posted on Product Hunt, got a traffic spike, then never updated it again They picked a category that a major player (OpenAI, Google, Anthropic) was obviously going to absorb The ones that stick around tend to: Solve a very specific workflow problem, not just "chat with AI" Build features that go beyond what the raw API can do Actually maintain and update the product consistently Have a clear audience that is not just "everyone" The biggest shift I've seen recently is that standalone AI tools are struggling more as the big models get better at doing everything themselves. A year ago you needed a separate AI tool for summarizing, writing, coding, image generation. Now a single model handles most of that. The tools that survive this are the ones deeply embedded in a specific workflow. Curious what others are noticing. Are you finding yourself using fewer AI tools as the models get more capable, or more?