Why your AI tool collection is slowing you down

There's a difference between having AI tools and having an AI stack.
A tool does one thing.
A stack does one goal.
When I started building XEdge I had 23 AI tools bookmarked. I was using maybe 4 of them regularly. The rest were either redundant, too complex to integrate, or solving problems I didn't actually have.
The moment I stopped collecting and started stacking — matching specific tools to specific workflows — my output doubled.
Here's the stack I use to run XEdge solo:
Writing and content: Claude — thinking, drafting, strategy
Coding: Claude Code — architecture, debugging, building
Analytics: PostHog — user behavior without sending data to Google
Email: Brevo — automated sequences, free tier covers everything
Payments: Gumroad — zero setup, handles tax automatically
Hosting: Firebase + Cloudflare — free at current scale
Six tools. One person. One product used by 500+ founders.
The goal was never to use the most tools.
It was to use the right ones together.
If you're still collecting instead of stacking — xedge.tech builds your stack based on what you're actually trying to do.
What does your current stack look like?