Show HN: Use ChatGPT with Apple Shortcuts https://ift.tt/5gm0GC3

Show HN: Use ChatGPT with Apple Shortcuts This project was born from my passion for every Apple product and the entire ecosystem, along with the power of ChatGPT. I was tired of copy-pasting and switching between apps on my Mac or iPhone, so I had this crazy idea to bring ChatGPT into every app that I use. This was possible only with the Apple Shortcuts app. Very few people know about its power and potential, so I took this chance and built COPILOT. https://meetcopilot.app But I also loved the idea of AI agents using various tools so much that I leveraged OpenAI's function-calling feature to accomplish that. Now, no matter what app I am using on my iPhone or Mac, the selected text or the current webpage from Safari will be passed automatically to COPILOT. Then I just ask it whatever I need and watch until it reaches the goal autonomously. There was also another problem with ChatGPT - the knowledge cutoff. So I also integrated Google search and web scraping into it. Now, whenever my request needs real-time information, like what is the latest version of macOS, it will use these tools to gather the data and then give me the correct response. Being an app built with Apple Shortcuts, all its "code", called actions, is actually open-source. I'm selling a Premium version of it to earn some revenue for my time. I would love to hear all your thoughts on it! Thank you so much! https://ift.tt/wIpT680 September 27, 2023 at 02:07PM

Show HN: The Tomb of Ramesses I in the Valley of the Kings https://ift.tt/LOG8Ape

Show HN: The Tomb of Ramesses I in the Valley of the Kings Hey all, I’m coding up a new tour system for my 3d Egyptian work. After the last feedback, I focused on building more interactive content and fx into the guided tours with sound and telling the mythology in the wall art. I’d love feedback with the new version – this is built with vanilla Three.js and footage captured on my iPhone 12. For various fx, I coded many of my own shaders based on work by https://twitter.com/akella and others on ShaderToy, so I’m keen to test on more devices. As the hacker, so the (ancient) painter. https://ift.tt/1CExWQN September 26, 2023 at 06:34PM

Show HN: A simple API/CLI for scheduling HTTP requests https://ift.tt/RHYUq0g

Show HN: A simple API/CLI for scheduling HTTP requests Hi HN! This is something I've been tinkering on for the past couple months. It's basically just an API/CLI for scheduling delayed or recurring jobs as HTTP requests. I initially built it as a personal tool to save myself a bit of time on little side projects where I've needed scheduled/recurring alerts, but decided it could be a good opportunity to practice building out a nice landing page [0] and documentation [1]. And who knows, maybe someone else will find it useful ¯\_(ツ)_/¯ The tool relies heavily on Elixir's Oban [2] library for managing jobs, and Mintlify [3] for documentation. I also shamelessly stole most of the frontend design from Resend [4] because I'm a fan of the aesthetic and thought it would be good for my design chops to use their design as a guide. I also discovered Radix [5] UI while working on this, which ended up being immensely helpful for moving quickly on the frontend. Anyways, I almost certainly spent a bit too much time on small UX details that are most likely utterly inconsequential, but it was a fun exercise in polish :) All feedback is welcome! [0] https://www.booper.dev/ [1] https://ift.tt/Ip0uOlv [2] https://ift.tt/1DgQZh4 [3] https://mintlify.com/ [4] https://resend.com/ [5] https://ift.tt/aGdfzDs https://www.booper.dev/ September 28, 2023 at 12:55AM

Show HN: Hackers Guide to Language Models https://ift.tt/ja13rzU

Show HN: Hackers Guide to Language Models https://ift.tt/c5bkQq0 September 27, 2023 at 09:26PM

Show HN: Using LLMs and Embeddings to classify application errors https://ift.tt/913ayrL

Show HN: Using LLMs and Embeddings to classify application errors Hi Hacker News! We’re Vadim and Chris from Highlight.io [1]. We do web app monitoring and are working on using LLMs/embeddings to add new functionality to our error monitoring product. Given that there’s a lot of founders/engineers using LLMs in their products, we figured we’d share how we built the new functionality, their impact on our workflows, and how you can try it out. Our goal was to build two features: (1) tagging errors (e.g. deeming an error as “authentication error” or a “database error”); and (2) grouping similar errors together (e.g. two errors that have a different stacktrace and body, but are semantically not very different). Each of these rely heavily on comparing text across our application. After some experimentation with the OpenAI embeddings API [3], we went ahead and hosted a private model instance of thenlper/gte-large (an open-source MIT licensed model), which is a 1024-dimension model running on an Intel Ice Lake 2 vCPU machine on Hugging face [4]. Our general approach for classifying/comparing text is as follows. As each set of tokens (i.e a string) comes in, our backend makes a request to an inference endpoint and receives a 1024-dimension float vector as a response (see the code here [5]). We then store that vector using pgvector [6]. To compare any two sets for similarity, we simply look at the Euclidian distance between their respective embeddings using the ivfflat index implemented by pgvector (example code here [7]). To tag errors, we assign an error its most relevant tag from a predetermined set decided by us. For example, if we tag an error as an "authentication error" or a "database error", we can allow developers to have a starting point before inspecting an issue.(see the logic here [8]). Anecdotally, this approach seems to work very well. For example, here are two authentication errors that got tagged as “Authentication Error”: * Firebase: A network AuthError has occurred * Error retrieving user from firebase api for email verification: cannot find user from uid. We also use these error embeddings to group similar errors. To decide whether an error joins a group or starts a new one, we decide on a distance threshold (using the euclidean distance) ahead of time. An interesting thing about this approach, compared to using a text-based heuristic, is that two errors with different stack traces can still be grouped together. Here’s an example: * github.com/highlight-run/highlight/backend/worker.(*Worker).ReportStripeUsage * github.com/highlight-run/highlight/backend/private-graph/graph.(*Resolver).GetSlackChannelsFromSlack.func1 Both reported as `integration api error` as they involve the Stripe and Slack integrations respectively. The neat thing is that the LLM can use the full context of an error and match based on the most relevant details about the error. We have rolled out a first version of the error grouping logic to our cloud product [9], and there’s a demo of all the functionality at [2]. Long-term, if the HN community has other ideas of what we could build with LLM tooling in observability, we’re all ears. Let us know what you think! Links [1] https://ift.tt/sLwjgVe [2] https://ift.tt/BYLkvJR [3] https://ift.tt/IU5ntaz [4] https://ift.tt/nsvDWtS [5] https://ift.tt/y5alprC... [6] https://ift.tt/NOSCEPQ... [7] https://ift.tt/vpsjZgz... [8] https://ift.tt/askbCMF... [9] https://ift.tt/ysnrGJS https://ift.tt/0nQpLKC September 27, 2023 at 08:47PM

Show HN: Railway.app POC https://ift.tt/RmIUqEn

Show HN: Railway.app POC https://ift.tt/TM1XSWs September 27, 2023 at 10:03AM

Show HN: OnlineOrNot – Cron Job Monitoring https://ift.tt/g0SPcOq

Show HN: OnlineOrNot – Cron Job Monitoring https://ift.tt/Dqixl70 September 27, 2023 at 04:15PM

Show HN: A JavaScript function that looks and behaves like a pipe operator https://ift.tt/mZjBaGP

Show HN: A JavaScript function that looks and behaves like a pipe operator https://ift.tt/lTezcn3 September 27, 2023 at 01:01PM

Show HN: POC: Real-Time Medical Image Collaboration Made Easy with OHIF / Nun-Db https://ift.tt/jSJ6RUB

Show HN: POC: Real-Time Medical Image Collaboration Made Easy with OHIF / Nun-Db https://ift.tt/8cN5vZH September 27, 2023 at 04:40AM

Show HN: Mail Memories – Export all your Gmail images https://ift.tt/yEVDdQ0

Show HN: Mail Memories – Export all your Gmail images I've added screenshots so you can see how it works now. Mail Memories lets you download all the images in your Gmail account from 2004 or 2010 or any year. Would appreciate your thoughts. Previously: https://ift.tt/1jxuNRb Demo - Download the oldest images in your account for free: https://ift.tt/07iUbCN https://ift.tt/154pkdO September 27, 2023 at 12:12AM

Show HN: A better command-line interface for Tailscale Taildrop https://ift.tt/LGAXK6p

Show HN: A better command-line interface for Tailscale Taildrop https://ift.tt/qDIRdUf September 26, 2023 at 05:03AM

Show HN: DeepEval – Evaluation and Unit Testing for LLMs https://ift.tt/P5b3jJy

Show HN: DeepEval – Evaluation and Unit Testing for LLMs https://ift.tt/3aVFOoH September 26, 2023 at 01:38AM

Show HN: Bigcapital - A open-source alternative to QuickBooks https://ift.tt/QTP50mh

Show HN: Bigcapital - A open-source alternative to QuickBooks https://ift.tt/Ucr3sYC September 26, 2023 at 01:35AM

Show HN: An aggregator to find good ChatGPT apps, courses and more https://ift.tt/GwDtzEv

Show HN: An aggregator to find good ChatGPT apps, courses and more https://ift.tt/OxWbPJc September 25, 2023 at 07:42PM

Show HN: Dev tool that writes scalable apps from scratch https://ift.tt/zRhL73j

Show HN: Dev tool that writes scalable apps from scratch https://ift.tt/srhTya6 September 25, 2023 at 09:10PM

Show HN: Animation Music Rose – JavaScript Web Art Tool on HTML5 Canvas https://ift.tt/yX1DTM8

Show HN: Animation Music Rose – JavaScript Web Art Tool on HTML5 Canvas This program is created by CreateJS (JavaScript) + HTML5 Canvas. You can use it for your web pages and modify the design. https://ift.tt/dZLeVnK September 25, 2023 at 09:27AM

Show HN: Bots Playing Online Cash Bingo on an iPad https://ift.tt/fJelMP6

Show HN: Bots Playing Online Cash Bingo on an iPad Hey HN, I really enjoy playing "Bing King" from time to time. I had a little downtime, and thought it would be fun to try and write a bot to play it. Sharing it here: https://ift.tt/YIxTPy1 Demo videos in the repo https://ift.tt/YIxTPy1 September 25, 2023 at 06:23AM

Show HN: Emojirades – Emoji Charades https://ift.tt/Sc9qdPr

Show HN: Emojirades – Emoji Charades https://ift.tt/9mZeEXV September 25, 2023 at 04:05AM

Show HN: ChatDev – Simulating a software company with LLMs https://ift.tt/EqAxB3Q

Show HN: ChatDev – Simulating a software company with LLMs https://ift.tt/SlT8i4Y September 24, 2023 at 09:31PM

Show HN: Hichatbot.ai – Chat with your documents, video transcripts https://ift.tt/qVrtlkm

Show HN: Hichatbot.ai – Chat with your documents, video transcripts Hi HN, I created this site recently and need som feedbacks. Please give it a try, let me know if you see anything to need to be improved or added. Below is the summary of https://hichatbot.ai What is HiChatbot? - HiChatbot is an AI-powered chatbot that can answer your questions about documents, text, and videos. You can upload a document, text, or provide a video link to HiChatbot and have a Q&A chat with the content. What are some of the things I can do with HiChatbot? You can use HiChatbot to: - Summarize the main points of a document - Get more details about a specific topic in a document, text, or video - Based on the provided document, generate creative text formats of text content, like executive summaries, reports, poems, code, scripts, musical pieces, email, letters, etc. https://hichatbot.ai September 24, 2023 at 08:56PM