AI Psychologist in Your Pocket
100 clinical AI prompts to decode your mind & patterns.
What it does
Most people use AI for coding. We use it for deep psychology. 100 clinical-grade prompts designed to bypass ego-defenses and expose patterns of self-sabotage, burnout, and paralysis. 95-page PDF with protocols for ChatGPT & Claude. Stop managing symptoms. Start diagnosing the cause.
Does the same job
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ChatCBT is an AI-powered cognitive behavioral therapist for your local Obsidian notes. You have the choice to use OpenAI, or a 100% local model with Ollama for total data privacy. When you're done with your conversation, ChatCBT can automatically summarize the chat into a table listing your negative beliefs, emotions, categories of negative thinking, and reframed thoughts. This way you can start to recognize patterns in your thinking and begin to rewire your reactions to disturbing circumstances. Conversations are stored in markdown files on your local machine, ensuring privacy and…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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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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Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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