ModelPing

LLM API capacity status dashboard with alerts and fallback suggestions

Problem

Developers using services like Codex often encounter 'Selected model is at capacity' errors and must manually try other models. Users complain this disrupts workflow, especially for paid accounts, and there's no easy way to check model availability or auto-switch.

Solution

A status monitoring service that probes major LLM APIs (OpenAI, Anthropic, Google, DeepSeek, etc.) in real-time for capacity, via simulated requests or public status pages, and presents an availability dashboard. Developers can subscribe to specific models, get notified when capacity is low, and receive fallback suggestions.

Users

Developers relying on multiple LLM APIs, AI app builders, technical teams.

MVP

Monitor 3-5 major model API endpoints; send lightweight periodic requests to check response status; show real-time availability dashboard; send capacity alerts via email or webhook; provide basic fallback recommendations.

Revenue

Free basic monitoring, paid for more frequent checks, historical data, team notifications, and API access.

Why now

LLM service capacity fluctuates frequently, and developers are helpless; there's no dedicated third-party monitoring tool yet. Indie developers can quickly fill this gap.