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AI Control Center
Track & control your AI API spend across every provider
Track spend across OpenAI, Anthropic, Gemini, and Bedrock in one dashboard instead of jumping between billing portals. - Real-time spend tracking across all providers - Provider health monitoring (uptime, response time, errors) - Team access with role-based permissions - Cost-saving recommendations based on actual usage - Secure API key storage with plan-level enforcement Built by a solo indie developer — controlaicenter.com if you want to see what came out of it.
Hey Product Hunt! 👋
I built AI Control Center after realizing how messy it gets tracking spend once you're using more than one LLM provider. I run several AI-powered products myself, and I got tired of switching between OpenAI, Anthropic, and Google billing dashboards just to answer "how much are we actually spending this month?"
So I built a single dashboard for exactly that — spend tracking, provider health monitoring, and team-level API key management with real permission enforcement (not just UI gating).
It's still evolving — I've spent the last few weeks specifically on security hardening (role permissions, plan-limit enforcement at the database level) before pushing for wider adoption, since I wanted the product to be trustworthy before it's popular.
Would love feedback from anyone here managing multiple AI providers — what's your biggest pain point right now: cost visibility, key management, or something else entirely?
About AI Control Center on Product Hunt
“Track & control your AI API spend across every provider”
AI Control Center was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. Track spend across OpenAI, Anthropic, Gemini, and Bedrock in one dashboard instead of jumping between billing portals. - Real-time spend tracking across all providers - Provider health monitoring (uptime, response time, errors) - Team access with role-based permissions - Cost-saving recommendations based on actual usage - Secure API key storage with plan-level enforcement Built by a solo indie developer — controlaicenter.com if you want to see what came out of it.
On the analytics side, AI Control Center competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how AI Control Center performed against the three products that launched closest to it on the same day.
Who hunted AI Control Center?
AI Control Center was hunted by Jay Yapan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AI Control Center including community comment highlights and product details, visit the product overview.
Jay Yapan