
ObserAI
Monitor your AI API costs, latency and failures in real time
What it does
ObserAI tracks every OpenAI, Anthropic, and Gemini API call — showing you exactly what each feature costs, which prompts are slow, and when your AI is failing. Add 3 lines of Python to your existing code and instantly get: ✅ Real-time cost tracking by model and feature ✅ Latency monitoring — find slow prompts instantly ✅ Failure alerts — know when AI breaks before users do ✅ Beautiful dashboard with charts and breakdowns Free forever for 100K calls/month. No credit card required.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Switch from ChatGPT to Claude with import memory feature
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