What makes it different:
- Actually curated - I test these tools myself
- Updated daily with new releases
- No BS reviews or hidden affiliate links
- Clean, fast interface (no unnecessary JavaScript bloat)
Built it as a side project because I needed this for my own workflow. Figured others might find it useful too.
Over the past year, I kept noticing the same problem:
AI is moving fast, but discovering genuinely useful tools is getting harder every month.
So I built a simple page that updates daily and collects the newest AI tools in one place — not ranked, not filtered by popularity, just a clean feed of what’s new.
While curating the list, a few patterns became obvious:
most “new” tools are just wrappers
truly original ideas are rare but easy to miss
small indie tools often outperform big-name releases
the pace of experimentation in 2025 is insane
I'm sharing it here because I'm curious:
How do you discover new AI tools today?
And is a simple, always-fresh directory still useful in 2025 — or are people overwhelmed by choice?
Would appreciate any feedback or ideas to improve it.
652 AI tools across 8 categories: - 365 Productivity & Automation - 108 Developer Tools (coding assistants, debugging, DevOps) - 68 Marketing & Sales - 38 Image Generators - 36 Video Tools - 19 Data & Analytics - 16 Education - 2 Writing Tools
What makes it different: - Actually curated - I test these tools myself - Updated daily with new releases - No BS reviews or hidden affiliate links - Clean, fast interface (no unnecessary JavaScript bloat)
Built it as a side project because I needed this for my own workflow. Figured others might find it useful too.
Open to feedback on how to make it better.