Most teams discover integration problems after they've committed. Seekora flips that. Pick any two SaaS tools and get a transparent 0-100 risk score with every deduction explained. No documented integration? The Inference Engine estimates compatibility from Tool DNA profiles. Score too low? The Repair Engine finds the best middleware fix. Go beyond pairs - analyze full stacks for weak links, bridge concentration, and growth sensitivity. Then test changes live in the interactive stack simulator.
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Maker
📌
Hey Product Hunt! I'm Benjamin, the maker of Seekora.
I built this because I kept watching teams (including my own) pick SaaS tools, wire up integrations, and then discover months later that things don't actually work well together. Rate limit mismatches, auth conflicts, data sync gaps - problems that could have been caught upfront.
Seekora gives you a 0-100 confidence score for any SaaS integration before you commit. Every penalty is transparent and explained, no black-box AI.
Here's what makes it different:
Transparent scoring - 7 risk dimensions, every deduction explained
Inference Engine - no documented integration? It estimates from Tool DNA profiles
Repair Engine - suggests middleware fixes (Zapier, Make, n8n) when scores are low
Stack analysis - go beyond pairs, find weak links across your entire stack
Visual Simulator - drag-and-drop what-if testing with real-time score updates
I'd love your feedback, what tools would you test first? What's missing?
Happy to answer any questions!