Pegkits
Never lose your clipboard again
Pegkits launched on April 21, 2026 with 81 votes, #579 of 21,248 launches that month and more than 95% of that year's launches.
What it does
Stop losing what you copied. Pegkits remembers everything text, links, images in one panel you open with Option+V. Built-in quick AI Actions translate, rewrite, or fix grammar in one click. Made for Mac. One-time price.
Clipboard history manager for macOS. Custom AI actions, folders, and instant search for everything you copy. Free download.
Copy-paste is the most unconscious thing we do on a computer. We do it hundreds of times a day without thinking. But the system clipboard is dumb, it only remembers ONE thing. You're basically trusting your most repeated workflow to a system that has amnesia. Copy-paste is the most unconscious thing we do on a computer. We do it hundreds of times a day without thinking. But the system clipboard is dumb — it only remembers ONE thing. You’re basically trusting your most repeated workflow to a system that has amnesia. The average knowledge worker switches between applications over a thousand times per day and copies more than 50 items without realizing it. Copy-paste is the most unconscious…from letspegkits.com
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A keyboard-centric clipboard history app for macOS2024 · clipbook.app · ▲141Hey HN, As a Software Engineer, I frequently copy and paste content. The fact that macOS clipboard buffer can keep only one item is very frustrating. It’s very annoying to copy → switch app → paste → switch app → copy → switch app → paste, and so on. Losing items I copied hours ago and having to find and copy them again is a waste of time. I tried many third-party clipboard managers like Alfred, Raycast, Paste, Maccy, etc. While great, they didn't fully meet my needs. As a developer, my requirements are: 1. Keyboard-centric operation to avoid using the mouse. I don’t want to waste my time…



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Source: Product Hunt launch ↗
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Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com

Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
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