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Show HN: Gemma 4 Multimodal Fine-Tuner for Apple Silicon About six months ago, I started working on a project to fine-tune Whisper locally on my M2 Ultra Mac Studio with a limited compute budget. I got into it. The problem I had at the time was I had 15,000 hours of audio data in Google Cloud Storage, and there was no way I could fit all the audio onto my local machine, so I built a system to stream data from my GCS to my machine during training. Gemma 3n came out, so I added that. Kinda went nuts, tbh. Then I put it on the shelf. When Gemma 4 came out a few days ago, I dusted it off, cleaned it up, broke out the Gemma part from the Whisper fine-tuning and added support for Gemma 4. I'm presenting it for you here today to play with, fork and improve upon. One thing I have learned so far: It's very easy to OOM when you fine-tune on longer sequences! My local Mac Studio has 64GB RAM, so I run out of memory constantly. Anywho, given how much interest there is in Gemma 4, and frank...

Show HN: Marimo pair – Reactive Python notebooks as environments for agents Hi HN! We're excited to share marimo pair [1] [2], a toolkit that drops AI agents into a running marimo notebook [3] session. This lets agents use marimo as working memory and a reactive Python runtime, while also making it easy for humans and agents to collaborate on computational research and data work. GitHub repo: https://ift.tt/ZXFvP4N Demo: https://www.youtube.com/watch?v=6uaqtchDnoc marimo pair is implemented as an agent skill. Connect your agent of choice to a running notebook with: /marimo-pair pair with me on my_notebook.py The agent can do anything a human can do with marimo and more. For example, it can obtain feedback by running code in an ephemeral scratchpad (inspect variables, run code against the program state, read outputs). If it wants to persist state, the agent can add cells, delete them, and install packages (marimo records these actions in the associated notebook, which is just a Pyth...

Show HN: C64 Ultimate Toolbox for macOS My wife got me a Commodore 64 Ultimate ( https://ift.tt/ZbMsjyk ) for my birthday, and it became an obvious hassle to have to keep an entire monitor connected to it just to tinker with it. When I found out the Ultimate FPGA board has built-in support for streaming the video and audio data over the network, as well as a REST API allowing for file and configuration management, I set to work on an app to remotely control my new device. - View and hear your Commodore 64 Ultimate or Ultimate 64 device over the network, with a fully configurable CRT shader so you can dial in just the right retro feel. - View and manage files on your device, including support for drag and drop folder/file upload, as well as the ability to run and mount disks, create new disk images, and more. - BASIC Scratchpad is a mini-IDE in the app where you can write BASIC apps and send them directly to any of your connected devices to run. - Keyboard forwarding allows you to inter...

Show HN: I successfully failed at one-shot-ing a video codec like h.264 Read an article yesterday about the H.264 codec increasing their licensing fee by an astronomical amount. And as always, my first shot was how hard could it be to try and build a codec which could be that efficient. I've personally been on a drive to improve my ability to one-shot complex features, products, or make even surgical changes. It's been a few months since I've been doing that, and honestly, results have been great for both work and work/life balance. This was a fun experiment. It burned through tokens, but it helped me identify some more improvements I could make to my one-shot agent teams/swarms, notably in the area of brevity and creating a testing rubric when dealing with domains I don't have prior knowledge in. Ultimately, I did not achieve the compression that I hoped I would, but it was fun seeing the swarm discuss it amongst themselves. https://ift.tt/ZSoIwK0 April 4, 2026 at 05:1...

Show HN: ComputeLock – Insurance to reduce unpredictable compute spend Reserved instances save money... until utilization changes, and you’re still paying. With ComputeLock, the risk of on-demand price spikes doesn’t exist - we offer burst insurance. 1. Send us an estimate of on-demand spend you expect and from what provider. 2. We confirm the maximum we'll cover for you for a small fee, and you get it in writing. 3. If on-demand prices spike, we'll reimburse you. We plan to work with smaller developers to start. How we do this is by monitoring supply and demand for compute. Of course, we'll get it wrong sometimes. But it's like insurance, you'll only need it when you NEED it. Would love to hear your feedback: https://ift.tt/uoniVwM https://ift.tt/uoniVwM April 6, 2026 at 10:53PM

Show HN: I built a tool to show how much ARR you lose to FX fees Hey HN, I started my career as a finance manager, transitioned into product management, and now I’m building my own products. Back in my finance days, while managing a £6M budget, I uncovered a £15k leak hiding in plain sight: FX fees. Today, I see solo founders making the exact same mistake. I realised most founders are quietly losing 2-5% of their revenue to what I call the Lazy Tax: - Stripe's ~2% auto-conversion fee on inbound revenue, - plus their local bank's ~3% spread when paying for global SaaS tools (AWS, Claude, Ads). So I built FixMyFX to show founders their exact leak and how to fix it (using multi-currency accounts to achieve a zero FX leak setup). Initially, I had Claude build this in React. Realised a simple calculator shouldn't need a 150kb payload and a complex build process. Threw the React code away and rebuilt it as a single lightweight HTML file using Alpine.js and Tailwind. It's comp...