Alternatives
Products that do what Kimi K3 5 Use Cases on Free Plan does
Testing Kimi K3’s Ability Through Practical Use Cases
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I wanted to take kimi k3 for a spin. It turned my simple one sentence prompt to this. Repo here. https://github.com/praveer13/ilya-papers-quest Well, I'm mindblown. Very humbling for me as a software engineer. Took couple hours for it to build this completely autonomously. And it was all from its mobile app. It couldn't render this though from within the app - it does have a feature to preview any website and publish it on kimi's domain - but it didn't work for this. I had to put it on github pages. It doesn't store anything btw - all progress is tracked in your browser…
Jul 2026 · ilya-papers-quest.naigap.com
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Aug 2026 · github.com
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Hi HN, I built a collection of 40+ PDF tools using Kimi k2.5 (with about $50 worth of credits) and a lot of “vibe coding”. The site: https://pdfuck.com (almost forgot I owned this domain ) What it does: 40+ PDF-related tools Completely free No downloads, everything runs in the browser All processing is done locally in your browser for better privacy It’s deployed on Cloudflare, so the running cost is basically close to zero. This started as a small experiment and slowly grew into a fairly complete PDF toolbox. I’d really appreciate feedback on performance, UX, and what tools you…
Feb 2026 · pdfuck.com
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Kimi K3 has 2.78 trillion parameters and ships as 1.42 TB of weights. It clearly does not fit in the memory of a laptop. But K3 is a Mixture-of-Experts model. For each token, only a small fraction of its 896 experts per layer is activated. That changes the problem: the entire model does not need to be resident in RAM, as long as the weights required by each token can be reached quickly enough. We built WASTE — the Weight-Aware Streaming Tensor Engine — to explore that idea. WASTE keeps the dense, repeatedly used part of the model resident in memory, stores the routed experts in an…
Jul 2026
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