Show HN: Free AI productivity framework for solo founders (with GPT-4) https://ift.tt/h25faYg

Show HN: Free AI productivity framework for solo founders (with GPT-4) https://ift.tt/IN3hprK July 3, 2024 at 12:13AM

Show HN: Perlin noise Wang tile generator https://ift.tt/lHV4qfh

Show HN: Perlin noise Wang tile generator This is a little script I wrote a while ago to help generate sprites for a game I was working on. You can use it to build a seemingly-infinite aperiodic noise texture that is actually composed of a relatively small number of tiles. For example, imagine a large grassy field or body of water in a 2D pixel art game, but without the obvious repeated patterns that arise from simple tiling. The use case is pretty niche (for example, in many cases you could just evaluate the perlin noise function directly in a shader) but I thought it was a cool idea regardless. https://ift.tt/iJF9ZfE June 27, 2024 at 11:06PM

Show HN: I built sales API, Stripe Atlas closed me https://ift.tt/cSvPnL7

Show HN: I built sales API, Stripe Atlas closed me My Co-founder and I have spent the last three months developing customsalesapi.com, a platform designed to automate sales and lead generation processes. Essentially, we streamline everything you'd typically do with Apollo by describing your company to our AI. If you're interested, I'd be thrilled to have you as one of our early clients. Please let me know if you'd like more information. Few days ago, we used Stripe Atlas to create our company, and right after company is created, stripe closed our account (account id is acct_1PMyxBIbdJ0fozrG). I went to asking help from many groups but I saw this exact same thing is happening everywhere July 2, 2024 at 01:00AM

Show HN: Improve LLM Performance by Maximizing Iteration Speed https://ift.tt/lZDmE14

Show HN: Improve LLM Performance by Maximizing Iteration Speed LLM Application development is extremely iterative, more so than any other types of development. This is because in addition to all the activities involved in regular application development, we also need to make the LLM Application accurate and reduce hallucination. To improve performance, we need to trial and error various combinations of LLM models, prompt templates (e.g., few-shot, chain-of-thought), prompt context with different RAG architecture, try different agent architecture, and more. There are thousands of permutations to try. We need to be able to easily experiment with these different permutations, measure performance in an objective way, and compare performance across each other to find the best possible combination. --- I have been working in AI since 2021 - first at FAANG with ML, then with LLM in start-ups since early 2023. I have had the chance to talk with many companies working with AI. The biggest mistake I see is a lack of standard process that allows them to rapidly iterate towards their performance goal. Using my learnings, I’m working on an OSS framework that structures your LLM Application Development for Rapid Iteration so you can reach your performance targets much faster. - If you are interested, you can learn more about it at: https://palico.ai/ - It's also Open Source and you can get setup with a single command. Stars are always appreciated. You can checkout the repo at: https://ift.tt/lz6wDIr https://www.palico.ai/ July 1, 2024 at 09:23PM

Show HN: What's in My Location History? https://ift.tt/dNbuDia

Show HN: What's in My Location History? https://ift.tt/cBPnGJx July 1, 2024 at 03:15AM

Show HN: Free Online Note Taker https://ift.tt/NWtK4Yg

Show HN: Free Online Note Taker Hey HN community, Yesterday I developed a simple online note taking app. Please share your feedback and let me know which features you would like to see included! https://quicknotes.co/ June 30, 2024 at 10:51PM

Show HN: I've built a child monitoring app with mitmproxy and WireGuard https://ift.tt/G5WoCja

Show HN: I've built a child monitoring app with mitmproxy and WireGuard Hi! I've been working on a child monitoring service and I'd really appreciate your input on it. The structure of the service is pretty technically interesting. It sets up a wireguard VPN on the child's Windows account, and then routes the traffic to our server. From there, we use mitmproxy to break open the TLS, inspect the packets, and then re-encrypt them. Currently all images are passed through an ImageNetV2 model, and for sites like reddit or google, individual links/communities are analyzed and we remove the content if it violates the filters without impacting the overall browsing experience. Coming soon(ish) will be a 8B uncensored llama3 model, which will allow parents to create custom filters for filtering content. I've always felt like child monitoring systems are missing the bigger picture when it comes to content filtering. I certainly remember being a little kid (9-ish) and coming across adult content I shouldn't have been seeing, but I also recall encountering subreddits and other online groups that laid the groundwork for my personality, without my parent ever knowing what was happening. The fact that as a child, I declared I no longer believed in God before I stopped believing in Santa was not the result of being some super genius, but because I was regurgitating what I read on r/atheism as gospel. Parents need more control over what their kids see, and as the internet develops more mature communities child filters need to keep up. It is not enough to simply hope your kid turns out normal, because there are companies actively working against you. The service is $20 a month, although it's 50% off for the first two months while we're in early access. We also only do Windows at the moment, although I'd like to expand (especially to linux) later this year. Let me know what you think! https://ift.tt/6C18X5m June 30, 2024 at 10:44PM