PromptAudit: LLM API Cost Analyzer
Tracks token usage, costs, and latency across Claude, GPT, and Gemini API calls to help developers optimize their AI spending without code changes.
The Problem
Developers building with AI APIs have no visibility into which prompts, models, or features are burning through budget. They get surprised by bills, can't identify wasteful patterns, and have no way to A/B test model efficiency without manual logging. Most don't know if they're using the right model tier for their use case.
Target Audience
Solo founders and small teams (2-10 devs) building AI-native apps using Cursor, Lovable, or Bolt who are shipping LLM features and need cost control without instrumentation overhead.
Why Now?
AI app development is exploding among vibe coders, but they're shipping fast without cost guardrails. LLM API costs are unpredictable and growing, and most indie devs only notice when bills spike. The market is primed for lightweight monitoring.
What's Missing
Existing solutions (Helicone, Langsmith) require code changes or are designed for enterprises. No simple 'drop-in middleware' exists that works for vibe-coded projects. Developers want visibility, not complexity.
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