Sunday, October 1, 2023

Show HN: How I made a donut-shaped donut.c replica in Python [video] https://ift.tt/fQxPup1

Show HN: How I made a donut-shaped donut.c replica in Python [video] https://www.youtube.com/watch?v=tzpfyTFvU6M October 1, 2023 at 09:30AM

Show HN: Program ESP32s in Nim https://ift.tt/GmWdDXZ

Show HN: Program ESP32s in Nim https://ift.tt/CNqmnXT October 1, 2023 at 04:13AM

Show HN: A map that tells you if a NYC cafe has WiFi, a restroom, and an outlet https://ift.tt/SmK0FfE

Show HN: A map that tells you if a NYC cafe has WiFi, a restroom, and an outlet I am slowly adding more locations now. This is intended to be a crowdsourced map. Everyone is welcome to add more locations and provide comments/votes here. Free people from going to a cafe for work only to leave because there's no wifi, restroom, or outlet!! Demo: https://ift.tt/A2BVlea https://ift.tt/K8GvaH9 October 1, 2023 at 05:57AM

Show HN: Noisy Nest Free white/pink/brown noise generator https://ift.tt/SvEUB8J

Show HN: Noisy Nest Free white/pink/brown noise generator Hi All, i was playing around with GPT-4 today, and threw together a simple noise generator. It can play pink, brown, and white noise indefinitely. I spent maybe an hour creating this. It's quite amazing what you can do with such little time with AI. Let me know if you think of any features to add, and i'll consider adding them to make this more useful. https://ift.tt/6w7lUE0 October 1, 2023 at 02:40AM

Show HN: Stargazers Reloaded – LLM-Powered Analyses of Your GitHub Community https://ift.tt/bGE6v0g

Show HN: Stargazers Reloaded – LLM-Powered Analyses of Your GitHub Community Hey friends! We have built an app for getting insights about your favorite GitHub community using large language models. The app uses LLMs to analyze the GitHub profiles of users who have starred the repository, capturing key details like the topics they are interested in. It takes screenshots of the stargazer's GitHub webpage, extracts text using an OCR model, and extracts insights embedded in the extracted text using LLMs. This app is inspired by the “original” Stargazers app written by Spencer Kimball (CEO of CockroachDB). While the original app exclusively used the GitHub API, this LLM-powered app built using EvaDB additionally extracts insights from unstructured data obtained from the stargazers’ webpages. Our analysis of the fast-growing GPT4All community showed that the majority of the stargazers are proficient in Python and JavaScript, and 43% of them are interested in Web Development. Web developers love open-source LLMs! We found that directly using GPT-4 to generate the “golden” table is super expensive — costing $60 to process the information of 1000 stargazers. To maintain accuracy while also reducing cost, we set up an LLM model cascade in a SQL query, running GPT-3.5 before GPT-4, that lowers the cost to $5.5 for analyzing 1000 GitHub stargazers. We’ve been working on this app for a month now and are excited to open source it today :) Some useful links: * Blog Post - https://ift.tt/VAGmpxN... * GitHub Repository - https://ift.tt/0j1Th6b * EvaDB - https://ift.tt/Ql6sATr Please let us know what you think! September 30, 2023 at 09:15PM

Saturday, September 30, 2023

Show HN: kproximate – A Kubernetes node autoscaler for Proxmox https://ift.tt/2cgGRWe

Show HN: kproximate – A Kubernetes node autoscaler for Proxmox https://ift.tt/kSC2zl9 September 30, 2023 at 02:40PM

Show HN: Integrate Discord with Jira https://ift.tt/KAiIBFf

Show HN: Integrate Discord with Jira Looks like growing number of companies are adopting Discord as their communication platform (instead of Slack or Teams). I've developed this integration between Discord and Jira and it is much more popular than I expected. By the way I continue improving it, so feedback and insights are very welcome! https://ift.tt/M0wL2OD September 30, 2023 at 02:07PM

Show HN: Turn your name into a tree in an infinite procedural shanshui landscape https://ift.tt/3YzKlOe

Show HN: Turn your name into a tree in an infinite procedural shanshui landscape Hi HN! I made this after collecting hundreds of "name ...