SaaSDevToolsMonitoringAI

StatusTruth – crowdsourced AI uptime

When the official status page says all-clear, let users tell each other which AI service is actually down

Problem
Users repeatedly report Claude throwing 'Claude is at capacity' errors and failing to load existing chats, while the official status page shows no issues. Another user thought their account was banned but it was just the service being down. Official status pages are out of sync with reality, leaving users unable to tell an account problem from a platform outage.
Solution
A dead-simple crowdsourced availability panel: users one-click report whether a given AI service is up or down, optionally attaching the error text/screenshot, and the tool aggregates real-time uptime and common error clusters per service (Claude, OpenAI, Gemini, etc.). When reports spike, it auto-generates a shareable status page so teams can quickly confirm it's on the platform side.
Users
Developers and indie hackers heavy on multiple AI services, outsourcing teams, and support staff who need to prove 'it's not us' to clients.
MVP
Browser extension or CLI one-click report of current AI service status; per-service real-time uptime chart; error message clustering (capacity, ban, rate limit); shareable public status page; email/webhook alert subscriptions.
Revenue
Free public status page + paid private dashboards (multi-service team monitoring, SLA reports, webhook alerts) on a monthly subscription; usage-based pricing for API clients reporting at scale.
Why now
AI services are frequently overloaded and official status pages are untrusted, creating demand for a third-party 'real availability' signal; indie developers can start with lightweight crowdsourcing and no infrastructure.

Source discussions · 2

  1. Hacker NewsClaude Is "At Capacity"12↑ 2
  2. V2EX[分享发现] claude 炸了,我以为号被封了,赣
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