I built a directory of $1M+ in free credits for startups
Discover cloud credits, AI credits, and developer tools from the world's leading technology companies for free
Does the same job
all alternatives →- IFI founded a company and a platform to fund open source developers2019 · equalize.digital · ▲100

- IMI made a curated list of free tools for startups2020 · meetchopra.com · ▲8
- IMI made a free site that lets you discover tiny startups for sale2024 · buysellstartups.com · ▲7
- IMI made a simple, 100% free marketplace to buy or sell micro-startupsDec 2025 · buy-startups.com · ▲5
I build a lot of small products myself and I realized how many indie founders want an exit that doesn’t involve platforms charging large commissions or requiring big revenue numbers. Sometimes a project makes $50/month, sometimes $500, sometimes $0 but has a great codebase, and that’s enough value for someone else. So I built buy-startups.com, a very simple, privacy-friendly marketplace for buying and selling small online startups. It’s not fancy. There’s no commission, no listing fee, no hidden funnel. Just a straightforward way for indie devs and bootstrappers to list a project and…
- IMI made a directory of Mac apps and tools and made $126 after 24 hours2024 · mactools.pro · ▲6
One week ago, I launched a new directory, which is a curated list of useful and cool Mac apps and tools that are not available on the app store. Initially, I wasn't sure if it was a good idea, but I managed to create it in just one day. I started promoting it on Twitter and some communities, and although I got some views, I didn't make any sales. Then the next day, I wrote a post on a subreddit related to Mac apps about the directory I launched. People loved it so much, and I got 39k views on that post, leading to around 2.5k visitors on my site. Thanks to this exposure, I made my first 4…
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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…
AI · 27d ago · cactuscompute.com

