Show HN: Calculate Your Revenue https://ift.tt/YGD3cCt

Show HN: Calculate Your Revenue https://ift.tt/LqpCKU6 February 3, 2025 at 04:17PM

Show HN: Surf.new – An open-source alternative to OpenAI Operator https://ift.tt/lUvkysu

Show HN: Surf.new – An open-source alternative to OpenAI Operator https://ift.tt/xma81tY February 4, 2025 at 12:51AM

Show HN: I center aligned Paul Graham's website and published a Chrome extension https://ift.tt/dUosLrP

Show HN: I center aligned Paul Graham's website and published a Chrome extension On my new large screen, it was a little cumbersome to read PG's essays because they are sticking so far off to the left. I center aligned it so it's a bit more readable. Took 2 hours with chatgpt to ideate, build, and publish. https://ift.tt/82bxk41 February 3, 2025 at 11:24PM

Show HN: I Built a Platform to Buy and Sell GitHub Repositories https://ift.tt/Ys3AjQ0

Show HN: I Built a Platform to Buy and Sell GitHub Repositories Hey HN, I built a platform that allows developers to buy and sell GitHub repositories using private forking. The idea is to help indie developers, open-source maintainers, and teams monetize their work while ensuring buyers get fully functional projects with minimal hassle. Many developers create great projects but lack the time or resources to maintain them. Instead of letting them fade away, why not sell them to someone who wants to continue the work? Here is how it works: - Sellers list theis GitHub repos in the platform - Buyers purchase repos - Buyers automatically added as collaborators and can fork the repo Check it out here: https://gittrader.com https://ift.tt/nrQkBNf February 3, 2025 at 06:07AM

Show HN: Random Art Generator in Haskell https://ift.tt/W81oZBJ

Show HN: Random Art Generator in Haskell https://ift.tt/vecXmun February 3, 2025 at 02:11AM

Show HN: Groundhog AI Spring API https://ift.tt/XOwrqgG

Show HN: Groundhog AI Spring API For anyone building weather-related AI apps, I am releasing an exciting iteration on last year’s model. My Groundhog API is trained on 130 years of data and makes use of 82 separate data sources. Similar to DeepSeek, it is completely open source and free to use. The primary use case is to make inferences about whether spring will come early or not, using a Mixture of Exports (MoE) approach, but surely others can be found if you are creative. Other use cases: - All predicting groundhogs - Where they all live - Whether they are “real” groundhogs or imposters Excited to see what people do with it! https://ift.tt/G8NktyU February 2, 2025 at 10:59PM

Show HN: I built a full mulimodal LLM by merging multiple models into one https://ift.tt/krvEjK6

Show HN: I built a full mulimodal LLM by merging multiple models into one https://ift.tt/neNofSE February 2, 2025 at 12:44PM