TokenWatch helps indie developers monitor OpenAI, Anthropic, and Gemini spend in real time, set budget thresholds, detect anomalies, and identify waste from duplicate calls. Connect keys in minutes, get proactive alerts, and stop surprise AI bills before they hit your card.
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Maker
📌
Hey Product Hunt! 👋 I built TokenWatch after getting hit with unexpected LLM API bills while shipping fast. Existing dashboards showed totals too late, so I wanted something that warns early and makes costs actionable.
What it does today:
• Real-time spend dashboard across OpenAI, Anthropic, and Gemini
• Budget alerts before limits are blown
• Anomaly detection for sudden spikes
• Feature-level attribution + caching suggestions to reduce waste
Would love feedback on:
1) Which alert channels you need most (email/Slack/others)
2) What would make cost attribution truly useful for teams
3) Integrations you'd want next
Thanks for checking it out 🙏
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Maker
Quick launch-day update from maker 👋
Based on early feedback, I’m prioritizing 3 things first:
1) clearer onboarding to first alert in under 2 minutes
2) smarter anomaly explanations (not just "spike detected")
3) cleaner cost attribution by provider/model
If you’re managing AI spend today, I’d love your input:
- What alert channel is non-negotiable for you (email, Slack, webhook)?
- What’s the #1 reason dashboards still feel "too late"?
Thanks for the support — I’m in the comments all day and shipping fast.
Quick launch-day update from maker 👋
Based on early feedback, I’m prioritizing 3 things first:
1) clearer onboarding to first alert in under 2 minutes
2) smarter anomaly explanations (not just "spike detected")
3) cleaner cost attribution by provider/model
If you’re managing AI spend today, I’d love your input:
- What alert channel is non-negotiable for you (email, Slack, webhook)?
- What’s the #1 reason dashboards still feel "too late"?
Thanks for the support — I’m in the comments all day and shipping fast.