stfurkan

6 ms·

1.
by stfurkan 12d ago
- Muntazam: simple and fully local habit tracker (Android version is coming soon) Link: https://apps.apple.com/us/app/muntazam-habit-tracker/id68053... - Carbonless: Calculate your website's carbon emiss
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Carbonless: Measure and reduce your website carbon(carbonless.cc)
2 points by stfurkan 1mo ago|0 comments
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by stfurkan 2mo ago
1. bitgpu: Fast WebGPU runtime for 1-bit (binary-weight) LLMs in the browser. Repo: https://github.com/stfurkan/bitgpu Demo: https://stfurkan.github.io/bitgpu/examples/chat.html 2. aidekin: I
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by stfurkan 2mo ago
I'm currently working on an open-source LLM inference engine [1] for browsers via webGPU. If anyone wants to try or has any suggestions, I'm happy to listen :) 1. https://github.com/stfurkan/bitgpu Demo: htt
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by stfurkan 2mo ago
Hi again :) I updated the engine and 27B model should work in the demo[1]. We can still consider it as experimental but I am trying to make it better and efficient. 1. https://stfurkan.github.io/bitgpu/examples/cha
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by stfurkan 2mo ago
Thank you :) I wanted to create it from zero myself so I can control it better. e.g. I started with ONNX support but now it support gguf models too. It might be a good idea to add some popular connectors in the future. Good luck with your p
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by stfurkan 2mo ago
Hello, I sent you a LinkedIn connection request. We can chat first and schedule a meeting. Thanks
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by stfurkan 2mo ago
Hi, the engine itself already has tool calling capabilities but if you're asking for the aidekin I didn't add tool calling there on purpose. It needs webgpu support but I haven't had a chance to test with different devices.
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by stfurkan 2mo ago
Hi :) There are some smaller embedding and re-ranking models (I am currently using some of them on my aidekin project) but having it like bonsai models will be great to have.
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by stfurkan 2mo ago
Thank you for trying it :) I just added the 27B support 1 hour ago. Let me check and try to fix it. All other models should work as expected but if you have issues with them too, I can take a look.
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by stfurkan 2mo ago
I'm currently working on an open-source engine [1] exactly for this purpose. If anyone wants to try or has any suggestions, I'm happy to listen :) 1. https://github.com/stfurkan/bitgpu 2. https://a
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by stfurkan 2mo ago
It looks great, thank you! I'll see if I can use it for my in browser AI assistant project's ( https://aidekin.com ) voice part. It's currently using Nemotron-3.5-ASR and supertonic-3 but overall it requires 1.2gb
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by stfurkan 3mo ago
aidekin: an open-source, client-side AI assistant you drop onto any website. Your visitors get a private voice and text assistant that runs entirely on their own device via WebGPU https://aidekin.com https://github.co
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by stfurkan 3mo ago
Thank you :) Currently I am not planning to have hosted fallback Q&A but it's a nice idea. It should only download the ~300mb initially once and then use the cached model.
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Show HN: I wrote a 1-bit WebGPU runtime to run a 1.7B LLM in the browser(aidekin.com)
5 points by stfurkan 3mo ago|2 comments
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by stfurkan 3mo ago
I see, thanks for the feedback :) It'll be a nice addition to the game.
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by stfurkan 3mo ago
Thank you for the feedback :) Letting players play before signing up might not be ideal for this case but I probably need to make the landing page better.
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by stfurkan 3mo ago
https://duckville.town You play a duck in a small shared town. You pick a job, pay rent, post on a Twitter-style feed, vote in local elections. The simulation keeps running when you close the tab. No PvP, no loot boxes, no comba
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by stfurkan 4mo ago
Thank you :) There is a simple map currently but it can be improved. You can see it on this page after you sign in -> https://duckville.town/city How can I make it better? I'd be happy to hear your feedback.
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by stfurkan 4mo ago
https://duckville.town You play a duck in a small shared town. You pick a job, pay rent, post on a Twitter-style feed, vote in local elections. The simulation keeps running when you close the tab. No PvP, no loot boxes, no comba
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by stfurkan 5mo ago
Hello, I built it. I'm glad you like it. I'd be happy to hear your feedback
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Show HN: Duckville, a persistent-world life SIM where you're a duck(duckville.town)
5 points by stfurkan 5mo ago|3 comments
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by stfurkan 6mo ago
Yes, you can find the instructions here --> https://github.com/stfurkan/pi-llm
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by stfurkan 6mo ago
Currently I get around 2 tok/s on the 4B model, and 4-5 tok/s on the 1.7B model.
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by stfurkan 6mo ago
I specifically chose PrismML's 1-bit models because their tiny size allows them to actually fit on smaller hardware like the Pi. The 1.7B model is great for basic tasks and tool triggers, while the 4B model seems reasonable for some da
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by stfurkan 6mo ago
Hi HN, I spent the weekend experimenting to see if I could get a proper LLM running locally on an old Raspberry Pi 4 (4GB), and more importantly, if I could get it to interact with the physical world. I ended up using PrismML's new Bon
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Show HN: Local LLM on a Pi 4 controlling hardware via tool calling(github.com)
3 points by stfurkan 6mo ago|7 comments
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by stfurkan 9mo ago
I've been experimenting with AI Agents to see how far I can push them across different types of complexity (from dashboards to client-side video encoding). Trip Replay ( https://tripreplay.app ) - A client-side travel map ani
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by stfurkan 9mo ago
Hello, I just launched Trip Replay, my last project of 2025. There are already tools that create animated travel maps, but they are almost all paid apps. Some charge per export, others require a subscription. I wanted something I could use
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Show HN: Trip Replay – Generate animated travel maps in the browser for free(tripreplay.app)
1 points by stfurkan 9mo ago|1 comments

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