Clevis
Build and sell AI powered apps without code
What it does
Build AI powered apps by combining steps like prompting ChatGPT, fetching data from APIs, and generating AI images. Trigger your app from a user-friendly interface, on a set schedule or through an API call.
Does a similar job
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After seeing a lot of simple AI powered web apps being launched lately, the idea of building a tool to create them appeared in my mind. Using Clevis, you can quickly create apps by connecting a series of steps. The first step to an app is usually some sort of user input like a text field or a file upload. Then, that input can be processed by AI tools like ChatGPT and the output can be displayed to the end user as plain text, HTML or a file. Examples of other apps you could build using Clevis: 1. SEO Assistant: An app that analyses any website URL for SEO improvements 2. Cover Letter Writer:…
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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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Source: Product Hunt launch ↗
