I made yet another AI chat bot because I hate monthly subscriptions
I was tired of paying monthly subscriptions for all my AI tools and I wanted to pay just for what I use so I combined the AI chats I use to create my own chat - MyChat (pun intended) MyChat is an all-in-one chat bot that has a pay-as-you-go business model. The tech stack I used was NextJS, TypeScript, MongoDB, Clerk, TailwindCSS, ShadCN, Stripe, the OpenAI API hosted on Hostinger with Coolify. The code base is currently around 3500 lines of code. (About 500 of them are redundant code) The web app itself is not complicated the only complex thing in it is the math that's mapping the different…
What it does
In the maker’s words, at launch
I was tired of paying monthly subscriptions for all my AI tools and I wanted to pay just for what I use so I combined the AI chats I use to create my own chat - MyChat (pun intended) MyChat is an all-in-one chat bot that has a pay-as-you-go business model. The tech stack I used was NextJS, TypeScript, MongoDB, Clerk, TailwindCSS, ShadCN, Stripe, the OpenAI API hosted on Hostinger with Coolify. The code base is currently around 3500 lines of code. (About 500 of them are redundant code) The web app itself is not complicated the only complex thing in it is the math that's mapping the different api tokens to MyChat tokens, but it's also my only competetive advantage so I sadly can't even share it.
Does the same job
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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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Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
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