Show HN: Routing24 – Free route optimization in the browser Hi HN! I built Routing24 to make route optimization easier and accessible for small businesses and solo drivers. With Google Maps, you can plan routes between a few locations for free, but it doesn’t support efficient multi-stop planning, handling multiple vehicles, or adding specific business rules like delivery time windows. Many tools offer route optimization for around $30 per vehicle per month, but Routing24 provides it completely free. Optimization happens fully on the client-side, using your device’s resources instead of cloud servers. The interface is simple for now: you can import/export using Excel, and there’s a web UI to edit and view imported data and optimized routes. Data is saved or uploaded anywhere, and one browser tab runs one optimization. Map data comes from OpenStreetMap, and the solver is built in C++/WASM, using public domain algorithms. I’d love to hear any feedback as I keep developing it. Thanks, and I hope it’s useful! https://routing24.com October 30, 2024 at 08:06PM
Show HN: Modus, serverless framework for intelligent APIs powered by WebAssembly Modus is an open-source, serverless framework for building APIs powered by WebAssembly. It simplifies integrating AI models, data, and business logic with sandboxed execution. We built Modus to put code back at the heart of development. You write a function. export function sayHello(name: string): string { return `Hello, ${name}!`; } Then, Modus: - extracts the metadata of your functions - compiles your code with optimizations based on the host environment - caches the compiled module in memory for fast retrieval - prepares an invocation plan for each function - extracts connections, models, and other configuration details from the app’s manifest - generates an API schema and activates the endpoint You query the endpoint. query SayHello { sayHello(name: "world") } In a few milliseconds, Modus: - loads your compiled code into a sandboxed execution environment with a dedicated memory space - runs your code, aided by host functions that power the Modus APIs - securely queries data and AI models as needed, without exposing credentials to your code - responds via the API result and releases the execution environment Now you have a production ready scalable endpoint for your AI-enabled app. AI-ready when you’re ready. Launch and iterate. Read more in the announcement blog post: https://ift.tt/e2g5A1w... Come join our Discord, we’d love to hear your feedback: https://ift.tt/R0LrbUH Follow us on GitHub: https://ift.tt/il2Q4GT Modus docs: https://ift.tt/MhgN4zf Modus quickstart video: https://youtu.be/3CcJTXTmz88 https://ift.tt/il2Q4GT October 30, 2024 at 09:32PM
Show HN: Let's Play (Voice AI) Ball – A Baseball Strategy Game My 8 year old son is obsessed with baseball. It’s unfortunate because 1) I deeply love lacrosse (I was the leading scorer my sophomore year for UC Davis! Never miss an opportunity to say it!), 2) I don’t know much about baseball, and 3) he’s a diehard Yankees fan. Although I can’t do anything about his team affiliation or the current 3-0 Yankees deficit in the 2024 World Series, I can do something about teaching him baseball strategy -- despite knowing little about baseball myself. I built this Voice AI game for him to learn more about baseball strategy. In the game, the Voice AI describes a baseball scenario, and the caller has to describe what the defensive player should do. To try it out, call (530) 203-8359. While my son is obsessed with baseball, I’m equally obsessed with Voice AI. Voice AI is eating the world. We’re seeing Voice AI consume pre-existing call volume (e.g., lead qualification calls, customer surveys, medical appointment setting) and creating a deluge of new call volume enabled by the Voice AI medium (e.g., role playing for professional development ( https://solidroad.com/ ), an AI that introduces you to people with similar interests ( https://www.boardy.ai/ ), and, yes, voice-first baseball games to make you feel like a better dad). If you’re building in Voice AI and are as enthralled with Voice AI as me, check out what we’re building ( https://ift.tt/M0mpTOJ ) when we’re not building fun voice-enabled AI applications. We love meeting other people in Voice AI and helping them improve their Voice AI agents! Tom https://ift.tt/PsTG8tn https://ift.tt/gKL7Czb October 30, 2024 at 02:13AM
Show HN: Query standup data in natural language Hey HN, I was a PM for ~ 4 years before deciding to ditch everything to learn how to build software on my own. As a PM, I was doing standups every day with our engineers, but whenever I'd need an update I'd still end up pinging them on Slack. Why? - No notes from those standup calls - Folks being unavailable - No solid insight from those standups. We ended up using a Standup tool but it didn't do much apart from converting our calls to text + making standups async. Sadly, there was still no insight. So decided to do build something myself: howsthisgoing - it's an AI-powered standup bot that lets you query team updates using natural language (built with Gemini, Claude, Python/Django, Celery, Tailwind). Demo: https://www.youtube.com/watch?v=9ijCTM3PmaU Technical details: - Set up slack apis for running standups - Use gemini for standup based summaries - embeddings using voyageai - natural language queries handled in 2-parts (first with claude for extraction, then gemini for filtering) - first time setting up RAG pipeline was fun! (let me know if you'd like to know how I did this) Currently exploring integrations with Github/Linear for deeper context on technical updates. Particularly interested in solving the challenge of connecting different data sources (commits, tickets, standups, sales updates) into a queryable knowledge base. Looking for feedback on: - Which data sources would be most valuable to integrate? - Planning to pivot to an "all-in-one updates app with github/linear/hubspot etc. being as source. What do you guys think of this idea? https://ift.tt/mR3oVau October 29, 2024 at 02:20AM
Show HN: Trench – Open-source analytics infrastructure Hey HN! I want to share a new open source project I've been working on called Trench ( https://trench.dev ). It's open source analytics infrastructure for tracking events, page views, and identifying users, and it's built on top of ClickHouse and Kafka. https://ift.tt/yKsf94J I built Trench because the Postgres table we used for tracking events at our startup ( http://frigade.com/ ) was getting expensive and becoming a performance bottleneck as we scaled to millions of end users. Many companies run into the same problem as us (e.g. Stripe, Heroku: https://ift.tt/wvHzncM ). They often start by adding a basic events table to their relational database, which works at first, but can become an issue as the application scales. It’s usually the biggest table in the database, the slowest one to query, and the longest one to back up. With Trench, we’ve put together a single Docker image that gives you a production-ready tracking event table built for scale and speed. When we migrated our tracking table from Postgres to Trench, we saw a 42% reduction in cost to serve on our primary Postgres cluster and all lag spikes from autoscaling under high traffic were eliminated. Here are some of the core features: * Fully compliant with the Segment tracking spec e.g. track(), identify(), group(), etc. * Can handle thousands of events per second on a single node * Query tracking data in real-time with read-after-write guarantees * Send data anywhere with throttled and batched webhooks * Single production-ready docker image. No need to manage and roll your own Kafka/ClickHouse/Nodejs/etc. * Easily plugs into any cloud hosted ClickHouse and Kafka solutions e.g. ClickHouse Cloud, Confluent Trench can be used for a range of use cases. Here are some possibilities: 1. Real-Time Monitoring and Alerting: Set up real-time alerts and monitoring for your services by tracking custom events like errors, usage spikes, or specific user actions and sending that data anywhere with Trench’s webhooks 2. Event Replay and Debugging: Capture all user interactions in real-time for event replay 3. A/B Testing Platform: Capture events from different users and groups in real time. Segment users by querying in real time and serve the right experiences to the right users 4. Product Analytics for SaaS Applications: Embed Trench into your existing SaaS product to power user audit logs or tracking scripts on your end-users’ websites 5. Build a custom RAG model: Easily query event data and give users answers in real-time. LLMs are really good at writing SQL The project is open-source and MIT-licensed. If there’s interest, we’re thinking about adding support for Elastic Search, direct data integrations (e.g. Redshift, S3, etc.), and an admin interface for creating queries, webhooks, etc. Have you experienced the same issues with your events tables? I'd love to hear what HN thinks about the project. https://ift.tt/reuZBTa October 25, 2024 at 07:37PM
Show HN: Building a financial instrument library with Python and Pydantic finstruments is a Python library designed for modeling financial instruments. It comes with the core financial instruments, such as forwards and options, out of the box, as well as position, trade, and portfolio models. finstruments comes with the basic building blocks, making it easy to extend and build new instruments for any asset class. These building blocks also provide the functionality to serialize and deserialize to and from JSON, enabling the ability to store a serialized format in a document database. This library is ideal for quantitative researchers, traders, and developers who need a streamlined way to build and interact with financial instruments. https://ift.tt/xd8G0fX October 28, 2024 at 10:48AM
Show HN: I built EstateLead AI – lead generator boosting agent productivity 10x As a former real estate agent, I discovered a critical pain point in early 2023. Every day, I spent 3-4 hours manually copying leads from Zillow - phone numbers, emails, and property details. This tedious process was stealing valuable time I could have spent with clients. I realized this wasn't just my problem. Thousands of agents were stuck in this same time-consuming routine, manually gathering leads one by one. There had to be a better way. Over the next a months, I faced numerous challenges building EstateLead AI: - Ensuring reliable data extraction - Maintaining compliance with data privacy regulations - Creating an intuitive interface for non-technical users - Scaling the system to handle thousands of requests After countless iterations and feedback from 50+ beta testers, I'm excited to launch EstateLead AI with these key features: Key Features: - One-click lead extraction from Zillow listings - Up to 18,000 leads per month with phone numbers - Export to Excel/CSV for easy CRM integration - Coverage for both US and Canadian markets - Built-in compliance with data protection rules - Simple browser extension interface The tool has already helped 600+ agents save 40+ hours per week on lead generation. Early users report a 10x increase in their prospecting efficiency. I'd love for the HN community to try it out and share your thoughts. What features would make this even more valuable for real estate professionals? Try it here: https://ift.tt/2L9BrnR P.S. First 100 users get 40% off (19 spots remaining), and we offer a 60-day money-back guarantee. https://ift.tt/2L9BrnR October 27, 2024 at 03:02PM
Show HN: Mdx – Execute your Markdown code blocks, now in Go Hey HN! I recently came across makedown here on HN and loved the concept. Wanting to learn Go, I thought this could be a great starter project - so I started working on my own Go implementation, which I’m calling mdx ( https://ift.tt/LsXvBhT ). Key Features: - Define dependencies between commands - Supports shebangs - Ability to pass arguments to code blocks Would love feedback and thoughts! Ref. makedown: https://ift.tt/7QioevR . Thanks for the idea! :) https://ift.tt/LsXvBhT October 26, 2024 at 11:04AM
Show HN: Jist searches JSON 3x faster than jq Hi HN, jist is a JSON path search tool that feels like accessing a JavaScript object. It’s 3x faster than jq for the same use case, and over 2000x more memory efficient when searching a 3.3GB file for the last element (jist reads data in chunks so has constant space use). It doesn’t implement pattern matching yet. A feature I’m looking to add is generating a full JSON schema using the same streaming approach so stay tuned! Any feedback and feature requests are more than welcome https://ift.tt/7SwKHVt October 26, 2024 at 06:55PM
Show HN: Create Waitlist Pages I decided to launch FastWaitlist because I was facing a problem with validating my own product ideas. I noticed the lack of tools that: 1. Let you create waitlist pages fast (always faced complicated page builders) 2. Have conversion optimized templates (we have 5 and we're planning to add more) 3. Support custom domains That's exactly why I launched FastWaitlist. It has solved a huge pain point for me and I hope it'll do the same for you. https://ift.tt/mtV75Xq October 25, 2024 at 11:47PM
Show HN: Infinite SCP Generator I work at .txt, the Outlines maintainers, and did this as a fun side project. I used Outlines to structure language model output in the format of an SCP entry. SCP entries have a specific structure. It's easy to get a language model to generate these structures via JSON without fail -- no parsing errors, no trailing commas, no missing brackets. Outlines ensures that all text generated will follow the SCP structure. We're also testing an internal structured text API, and figured this might be a good way to test out repeated, regular calls. Entries are generated at midnight and uploaded to a simple website. Check out the resulting entries here: https://ift.tt/vHMcpKS https://ift.tt/3WZmwi0 October 24, 2024 at 11:46PM
Show HN: Hyper Workspace – A no-code framework for JSON Hello HN ! I'm Florian, and I would like to share with you a project I've been working on over the past few months: Hyper Workspace. Before working in tech, I have been in the finance industry for more than 10 years. During this time, I've experienced using Excel+VBA and Python notebooks as main interfaces, but never felt completely satisfied. Interfacing potentially complex and nested objects that you need to consume in your applications is still a pain. Modern browsers can offer much more in terms of UI / UX, especially when coupled with JSON data representation, but they require to write and deploy specific code, use a rendering library... and I believe there is a better way: JSON deserves a fully horizontal framework, abstracting web semantics, and filling the gap between data, views and behavior. To this end, I've been trying to shape Hyper Workspace so that it can provide no-code tools to build Documents': - Fields: strongly typed, deeply nested and potentially recursive, data structures (inspired by Typescript). - Views: drag n' drop configuration of documents' pages (ie sub-objects): layout, fields, widgets, actions, graphs. - Methods: visual configuration of your "business logic" using a Domain Specific Language, plugged at every layer of your data structure, with an "object-oriented programming" philosophy. Builtin "Modules" can be used to add more functionalities. You can build "standalone" Documents (like spreadsheets) but also Collections where Records share the same Schema, like a NoSQL version of Airtable. Unstructured data (pdf, images, audio, video) are stored as "Files" that can be linked inside Documents. All this in a multi-desktops OS-looking environment. You will find a complete documentation inside your workspace. So far, this is a purely local application that stores everything in your IndexedDB. It can be installed locally (PWA) and will then work completely offline. No account required and nothing leaves your device. This is more the early stage of a framework than a complete product, but I hope it can shed a light on a potential new way to "configure" interfaces or even workflows, given that Documents can be seen as stateful representations of business processes. Builtin "Modules" are the key to extending the framework's capabilities: calling APIs, using AI agents to structure or query documents, or even take action... I'd love to read your feedbacks, questions and ideas on it, and see together what could make it useful for you ! Thanks ! Florian https://ift.tt/n0Gbhgw October 22, 2024 at 11:04PM
Show HN: Data Formulator – AI-powered data visualization from Microsoft Research Creating data visualizations with AI nowadays often means chat, chat and more chats...and writing long prompts can be annoying while they are also not the most effective way to describe your visualization designs. Data Formulator blends UI interaction with natural language so that you can create visualizations with AI much more effectively! You can: * create rich visualizations beyond initial datasets, where AI helps transforming and visualizing data along the way * iterate your designs and dive deeper using data threads, a new way to manage your conversation with AI. Here is a demo video: https://ift.tt/Yf3D6oG.... Give it a shot and let us know how it looks like! https://ift.tt/bwMF4tI October 22, 2024 at 01:12AM
Show HN: Llama Workspace – An Open Source ChatGPT Teams Alternative Hey HN! We are happy to share with you our latest project: Llama Workspace ( https://ift.tt/WylG3j9 ). It's an open-source ChatGPT Teams alternative made with the needs of businesses and organizations in mind. It has everything you can expect from ChatGPT, plus first class support for users and roles management, as well as advanced collaboration features. We've made it very easy to self-host anywhere you like, and we also provide a cloud version. So no excuse for trying it out! Why using Llama Workspace instead of ChatGPT Teams? - You have access to all the major Large Language models in one place, including GPT-4, Claude Sonnet or Gemini. - It brings savings of about 70% - 85% when compared to ChatGPT Teams (see website for more info on this). - You can integrate it with your own code, like AI agents, and provide a single platform to access AI. Here's the Github link: https://ift.tt/z5AOw7D I would love to hear your ideas, experience, and feedback about the product! What should we implement next? https://ift.tt/WylG3j9 October 21, 2024 at 08:08PM
Show HN: Floating point arithmetic types in C++ for any size and any base Since there is so much interest on HN in floats lately and their software implementations, I wanted to show mine. It has no use and is just for teaching me floats and C++. Give me your thoughts. https://ift.tt/OMZIFxU October 18, 2024 at 11:12PM
Show HN: Launching GetProduct.dev I would be happy to get any feedback! Here is why I built it and what it is: I found it hard to monetize another project of mine where users entered wishes they had. Google ads generated almost no revenue. Therefore I tried Affiliate Marketing using various Affiliate Programs where the users wish is entered as query. Especially with amazon this worked pretty well even though I hit a lot of problems to get it working. My revenue from that is at least 10x the revenue I had from google ads. Thats why I build getProduct.dev and I would be really happy if you would try it our and give me some feedback. It is a nicely documented api to get dynamic affiliate links. I do not get a cut of the revenue because it uses your own Amazon account. You get 100 free requests once you create an account and if you need more for testing you can contact me. Currently it only supports amazon affiliate but I plan on integrating more like Aliexpress and also I am thinking about more usecases that could potentially leverage AI to generate even better responses. Thanks for reading and any feedback! https://getproduct.dev/ October 21, 2024 at 03:12AM
Show HN: Create mind maps to learn new things using AI Enter a topic and get a learning mind map generated by an LLM with links to learn more about each subtopic. You can use it with local models (through Ollama) or external models. If you have any feedback, please share it! Hope it's useful https://ift.tt/ouAs7XV October 21, 2024 at 01:31AM
Show HN: Open-Source Zero-Shot Image Model Server Enabling Model Feedback Hi everyone! Here is an open source implementation of a decently performant server hosting zero-shot image models (CLIP for image classification, OWL-ViT-ST for object detection), with an extra algorithm to allow users to give the models feedback when they make mistakes! We built a company off this flavor of tech two years ago and have clients who are currently using our commercial API. We are now moving on to other projects but want to make sure our clients still have access to the approaches that they've grown to rely on, so we're open sourcing a simple implementation that they'll be able to use after we've shut down our hosted API! I used to work at a robotics startup. After a while it seemed clear that the biggest limiting factor in our ability to ship new models wasn't innovation on model architecture, it was access to relevant, high-quality training data. Around that time CLIP was released, which got me thinking about the idea of having models with world-knowledge baked in so as to reduce the amount of training data required. A year later when Stable Diffusion dropped, my cofounder Ben Brooks and I took the plunge and founded DirectAI, where we worked on building ways to get performant models without collecting any training data, using the knowledge stored in pretrained models instead. In this implementation, we replace the linear classification head typically used in zero-shot image classifiers with a modified nearest neighbors method that lets you use multiple examples (both positive and negative) per-class to make sure the decision boundary the model is using is more aligned with what you had in mind. Our clients have found it very useful for things from interior design to content moderation to sports analytics, building models that are either too niche to be supported by a traditional cloud-hosted computer vision API or are subtly different from the models that existing cloud APIs host. For example, one of our clients wants to filter out all images containing alcohol. Hive has an API for that, but Hive explicitly allows red solo cups that don't obviously have anything alcoholic in them, whereas our client wanted to filter those out too! Feedback is welcome! There are still bugs in the Gradio frontend / codebase in general, but I have a deadline and need to be working on new stuff at a new job starting Monday so I thought I would just go ahead and get it out there! I've never tried to publish a real open source piece of code before and I must admit I am quite nervous! https://ift.tt/G3Mnmyl October 20, 2024 at 12:21AM
Show HN: I made a site to quick identify any plant and learn how to care for it I'm still working on it, curious but what feature may be most valuable for you? What do you think about personalised care instructions, and an interactive chat feature for each plant. https://frondly.app/ October 20, 2024 at 02:30AM
Show HN: Contagious Beliefs–Simulating Political Alignment This is a simulation that allows you to test how beliefs are adopted based on pre-existing beliefs and how they spread through a population. It is entirely editable, so you can test your own parameters based on your own data or intuitions. A detail methodology can be found here: https://ift.tt/Gy4h6zd... https://ift.tt/gTfOs4w October 20, 2024 at 12:23AM
Show HN: A browser-based x86-64 assembly playground I recently created this project to teach assembly, and to have an assembly playground in the style of codepen/jsfillde to embed in my blog posts. It's based on a wasm version of the blink x86-64 emulator, so everything runs client side with no backend server and with a runtime of only ~200Kb https://x64.halb.it/ October 18, 2024 at 11:02PM
Show HN: Thread Archive – free tool to save Slack community data Slack's new content deletion policy is a nightmare for 1000s of communities on Slack. It means that all messages older than one year will be permanently deleted from their servers. Thread Archive gives you a simple way to save all your Slack community's chats in an accessible archive. https://ift.tt/UdrKtqa October 18, 2024 at 03:30AM
Show HN: React-guitar-chord, a react component for chord name to guitar diagram I made a pretty simple react component that takes in a chord name and spits out a guitar chord diagram. So far it has no regard for playability or bar chords or any alternate positions, and doesn't ensure that all the notes of a complex chord are played. It has a bias towards open notes so with enough alterations it tends toward an open strum. Still, it's pretty accurate for simpler 3 or 4 note chords. I think my next step will be ensuring that 4 or less fretted notes are included in a chord diagram, using bar chords and moving up the neck if needed. https://ift.tt/fiv1KMV October 18, 2024 at 12:29AM
Show HN: I made a webapp where you can share your projects Hi guys I made this simple web application, you can use it to share your projects. Your project will appear only if you visit the projects of the other users. In the 'you' section, add an app ( name, link, [icon_link]) and apply the starting points you got, to the app so that all the other N users will see it (where N indicates how many points you applied to the app). IT'S TOTALLY FREE NO PASSWORD NEEDED FOR LOGIN https://appearnow.me October 17, 2024 at 10:18PM
Show HN: Screvi – Stop Forgetting What You Read If you’re anything like me, you read and highlight a lot but always seem to forget most of it. Not only that, but I find myself spending too much time scrolling Twitter and Instagram these days. I needed an app with similar features, but one that would make me productive instead of feeding me addicting and pointless content. The usual notion/obsidian workflows are nice, but they get overly complex quick and I end up wasting a lot of time on them. I needed something easy and accessible like a social media app. So, I built an app that fixes these issues by capturing and transforming my thousands of highlights into a scrollable, Instagram-like feed. key features - Sync highlights from Kindle - Capture physical book highlights - Save from Twitter - Transcribe audio notes (so I can add highlights/thoughts while running or walking) - Feed/Stories system Let me know what you think! And if you find any bugs or have any ideas, please let me know at support@screvi.com https://screvi.com October 17, 2024 at 01:23AM
Show HN: I made a social like Instagram but for books Hey Book Lovers! Today, we’re thrilled to introduce Biblio.com, your new social playground for everything books! Whether you're a voracious reader, budding author, or just someone who loves to explore new ideas through the written word, Biblio has it all. With Biblio, you can: Upload your own stories, novels, or poems and share them with the world Read an ever-growing library of books and writings by other users – discover hidden gems! Follow authors, readers, and creators whose content you love – build your literary network Create reading lists, leave reviews, and join discussions in vibrant community forums Get personalized recommendations and discover your next favorite book in no time! Why Biblio? Unlike other book apps, Biblio is truly multi-functional – it’s your personal bookshelf, a space to publish your work, a place to connect with readers and writers, and much more. Forget juggling between multiple platforms; now you can do it all in one spot! Whether you're an indie author looking to build a fanbase or a casual reader searching for your next cozy read, Biblio makes it effortless to connect and share stories. We’re just getting started and would love your feedback! Jump in, explore, and help us shape the future of books online. Join the conversation – the literary world is waiting! https://www.bibliou.com October 16, 2024 at 01:21AM
Show HN: 4B+ DNS Records Dataset Hi HN, I've been working on building a pipeline to create a DNS records database lately. The goal is to enable research as well as competitive landscape analysis on the internet. The dataset for now spans around 3 billion records and covers all the common DNS record types: A AAAA ANAME CAA CNAME HINFO HTTPS MX NAPTR NS PTR SOA SRV SSHFP SVCB TLSA TXT Each line in the CSV file represents a single DNS record in the following format: https://ift.tt/x8XJNPv I believe this dataset will be valuable for various research purposes and competitive analysis. Let me know if you have any questions or feedback! https://ift.tt/ERXJBgq October 16, 2024 at 12:56AM
Show HN: Turn any YouTube video into a summary, quiz, & flashcards YouTube is the greatest learning resource in the world. Yet it doesn't provide any tools to help you learn from videos. I built a simple app that turns YouTube videos into structured learning material using AI. It generates a summary, quiz and flashcards from video content, meaning you can learn from anything (well, at least any YouTube video). Try it out. Would be happy to keep building features based on feedback! https://asterlab.io/ October 14, 2024 at 11:15PM
Show HN: Those Who Die as Cattle What if a game gave you the backstory of everyone you killed or got killed? I feel like I've heard this question asked before, but I've never seen it done. For Ludum Dare 56 (a game jam), I spent 48 hours building a prototype called Those Who Die As Cattle, a WW1 trench warfare simulation game. I used ChatGPT 4o-mini to generate details for the 12,000 soldiers involved in the game. Notably, I had to supply names because it couldn't introduce sufficient variety. I also had to add randomly generated adjectives for the soldiers; otherwise, the prompts were too similar, even with different seeds and temperatures. Initially, I used Claude (which I usually prefer), but it made every soldier a former carpenter’s apprentice. Since this is a game and your actions should matter, instead of generating one block of text, I had it generate JSON by providing a template with cues for different things that might happen to the soldier. I used these to dynamically assemble a story for each casualty. For example: { "briefBio": "Tell me a little bit about the solider", // Putting this first is critical to introduce variety … "lastThoughtsArtilleryDead": "What are his last thoughts as he dies from an artillery strike" , … "effectOnOthersShotInjured": "What are the long term impacts on the people who care about him when he is seriously injured by a bullet wound", } The prompt template can be found here: https://ift.tt/7LvMzJ6... The underlying simulation was programmed using Unity ECS (Entity Component System) and simulated, to some degree, each soldier and artillery piece. Casualties were taken in entity order, so there's some predictability regarding when each name gets added to the list, though it isn't completely deterministic. The area where I skimped the most was the UI, but the game is in a playable state if you're willing to look at the center column and figure out what the numbers mean. A final notable learning is that Unity UI toolkit (their modern, web dev like solution) performs significantly better on the web than in the native linux build, at least on the 2022 LTS version of Unity. This suggests that they may be leveraging the rendering efficiencies built into browsers. https://ift.tt/QGTjyNK October 14, 2024 at 09:32PM
Show HN: Book to Classical Music Soundtrack Hey, HN, literature and classical music are two of my biggest passions, and I always found it interesting how some classical pieces fit to the stories they are barely connected with. E.g. some of Tchaikovsky's music will always evoke the world of Harry Potter for me; music of Sibelius takes me to the same landscapes as writings of Tolkien - of course, these clearly result from John Williams' and Howard Shore's direct inspirations from the romantic composers when creating the soundtracks for the movie adaptations. For a more niche example, music of Olivier Messiaen fits in my view the book L'Écume Des Jours by Boris Vian - grandiose movements of the Turangalila symphony for the first half of the story, the expressionism and sadness of Vingt Regards the latter. The examples are numerous. My recent idea was to somehow automate this pairing of literature and music. It works quite simply - at first, I collected a large dataset of classical music pieces with text descriptions, which I transformed into embeddings. When generating a soundtrack, I use an LLM to create a description of what kind of music would be suitable for the story, and the embedding of this description is used to fetch the most relevant tracks. While the resulting playlist can barely be understood as "soundtrack" at this point, it can be a pleasant background playlist for reading the book. Thanks in advance for any suggestions or feedback :) https://ift.tt/mK03tps October 14, 2024 at 02:58AM
Show HN: SSO – Small String Optimization I wrote this just for fun when saw article about sso in Rust[1]. My string can store up to 23 (excluding null-terminator) 8-bit chars without calling allocator. Here I can mistake, but.. Curious fact: both - libstdc++[2] and libc++[3] - do access to union member without any check that it is active now. AFAIK, this is UB in C++. But I assume that they just rely on theirs compiler features. I tried to avoid this using `std::byte[]`. But I'm still sure that there are several UB's in my code :) [1] https://ift.tt/AhJrbfi... [2] https://ift.tt/fgRO29v... [3] https://ift.tt/ZWKSfO2... https://ift.tt/rhLnfMX October 12, 2024 at 11:56PM
Show HN: ZenMD converts a Markdown folder to a site with a single command I have been dogfooding this npx tool to build all my markdown content sites. It allows me to start a site within minutes. As it's just `npx zenmd && netlify deploy` without downloading any framework starter kit, cloning any repo, or generating any folder structure with configs. It's built on remark.js, supports images, [[wikilinks]], and raw html in markdown, as well as custom layout.html customizations. Once the site is built, you can open the output `.html` pages without a server to preview. Demo: here is a post expanding on the "whys" on my personal site (built with ZenMD) - https://ift.tt/qdY7pUo Just made the Github repo: https://ift.tt/X9xd6F8 public if you'd like to look at the code. https://ift.tt/zvKGlmr October 11, 2024 at 09:54PM
Show HN: QuickDessert – generate quick dessert recipes and adjust Ingredients It’s not just your average recipe site – they’ve got an AI-powered feature that generates custom dessert recipes based on your preferences or available ingredients! If you’re short on time or ingredients, the site lets you tweak recipes on the fly. You can adjust ingredients to suit your pantry, dietary preferences, or time constraints, and the AI will instantly generate a new dessert idea for you. Super handy for those moments when you have a sweet tooth but not everything in your kitchen! For example, I tried out a brownie recipe and swapped out sugar for honey – worked like a charm! The flexibility and ease make it really fun to experiment with desserts without spending hours searching for ideas or second-guessing ingredient swaps. https://ift.tt/MRj0dal October 9, 2024 at 07:51PM
Show HN: Build Apps via Voice TiramAi - Beta - We have built an app that is now available both on App Store & Play Store that allows non-technical users to build web apps, mobile apps and logic apps as it seems fit by generating user stories and personas. Can be refined as many times. For web apps, the code gets generated in html, cs, JavaScript for the frontend and uses firebase as the db. For mobile app, flutter code gets generated and it takes us a day or so to get it out into test flight or beta testing, due to the app distribution hurdle. Logic apps use c# minimal api and gets deployed on Azure / Google. Exporting of User stories is behind a paywall. We are still fine tuning the code output for all the apps. You can provide feedback within the app as well by shaking the device. Any input / feedback / thoughts are appreciated. https://www.tiram.ai October 11, 2024 at 04:08AM
Show HN: Arch – an intelligent prompt gateway built on Envoy Hi HN! My name is Adil Hafeez, and I am the Co-Founder at Katanemo and the lead developer behind Arch - an open source project for developers to build faster, generative AI apps. Previously I worked on Envoy at Lyft. Engineered with purpose-built LLMs, Arch handles the critical but undifferentiated tasks related to the handling and processing of prompts, including detecting and rejecting jailbreak attempts, intelligently calling “backend” APIs to fulfill the user’s request represented in a prompt, routing to and offering disaster recovery between upstream LLMs, and managing the observability of prompts and LLM interactions in a centralized way - all outside business logic. Here are some additional key details of the project, * Built on top of Envoy and is written in rust. It runs alongside application servers, and uses Envoy's proven HTTP management and scalability features to handle traffic related to prompts and LLMs. * Function calling for fast agentic and RAG apps. Engineered with purpose-built fast LLMs to handle fast, cost-effective, and accurate prompt-based tasks like function/API calling, and parameter extraction from prompts. * Prompt guardrails to prevent jailbreak attempts and ensure safe user interactions without writing a single line of code. * Manages LLM calls, offering smart retries, automatic cutover, and resilient upstream connections for continuous availability. * Uses the W3C Trace Context standard to enable complete request tracing across applications, ensuring compatibility with observability tools, and provides metrics to monitor latency, token usage, and error rates, helping optimize AI application performance. This is our first release, and would love to build alongside the community. We are just getting started on reinventing what we could do at the networking layer for prompts. Do check it out on GitHub at https://ift.tt/d2MUo9S . Please leave a comment or feedback here and I will be happy to answer. (I did make a mistake earlier not properly tagging the title with Show HN and the post didn't end up in Show HN. Later I updated the title but then my text started showing up as a comment. So I redid the post again, sorry if you had looked at the previous post already. Here is the link to the old post https://ift.tt/pUoFdjY ) https://ift.tt/w48Wcq5 October 10, 2024 at 11:15PM
Show HN: VRE Dataset generation for MultiTask vision models training from videos Been working on this tool for my PhD which involves training multi task vision models using various pre-trained models as inputs or pseudolabels in order to improve generalization. I work mostly on UAV datasets, but it should work okay on indoor scenes or self driving (at least Marigold and Mask2Former). For example, this dataset was generated using this tool: https://ift.tt/aTtnFWQ I'm quite aggressively trying to "just get the nn.Module" from the public repos that other researchers put up in their overly convoluted frameworks. A simple `forward(rgb_input: torch.Tensor) -> torch.Tensor` is nice, having 100 imports from a generic framework that has versions incompatibilities with everything else is not. PS: most mains are standalone runnable too, i.e. - https://ift.tt/ObdmBoC... or - https://ift.tt/ObdmBoC... https://ift.tt/C4VQ58I October 9, 2024 at 11:09PM
Show HN: Actor Kit – XState Machines for Cloudflare Workers Actor Kit is a library for running state machines in Cloudflare Workers, leveraging XState for robust state management. It provides a framework for managing the logic, lifecycle, persistence, synchronization, and access control of actors in a distributed environment. Key features include: - Persistent, distributed state management - Type-safe events and state with TypeScript and Zod - Real-time updates and seamless server-to-client state transfer - Access control and secure data management - Framework-agnostic with examples for Next.js and Remix integration - Actor lifecycle management in distributed environments - Support for real-time collaboration - State migration support The project is in early development, and I'm seeking feedback on the ideas and APIs. Cheers, Jon https://ift.tt/mOt0TM6 October 8, 2024 at 11:56PM
Show HN: Running Game Boy ROMs on the STM32 ARM Cortex Microcontroller Got Tetris running on a 26€ STM32F429 Discovery board emulating the Game Boy CPU and graphics on the ARM Cortex M4. Really fun project to hack together, need to try the original Game Boy Pokemon (red/blue) games next. https://ift.tt/zgFZue7 October 8, 2024 at 10:33AM
Show HN: I made it even easier to self-host my open-source form back end On a bit of a mission here. Just made the first addition to what I plan to be lots of variations of self-hosting this Formspree alternative. The goal is to allow you to host just what you need, and avoid the bloat and complexity of self-hosting the entire service. https://ift.tt/O3LYuwW October 6, 2024 at 11:10PM
Show HN: CodeAir – Control VS Code from Your Phone Hey HN, Inspired by the classic "Compiling" XKCD comic ( https://ift.tt/aSUWQg4 ), I’ve built CodeAir (codeair.app) – an Android app and VS Code extension that turns your phone into a remote control for VS Code. With CodeAir, you can: - Control 800+ VS Code commands right from your phone. - Send text and image files directly into your workspace and even have the images transcribed using AI. So imagine taking a snapshot of a piece of code from a physical textbook and being directly able to run that inside VS Code. - Request screenshots from VS Code while AFK and get them delivered to your phone so you can monitor long builds or processes remotely when you're on a coffee break. - If you’ve got an OpenAI API key, you can even perform QnA over your transferred files and images. I made this tool to help monitor long builds or tests when I’m AFK, but it’s useful for so much more! It’s super niche, but I hope some of you find it helpful. Check it out at codeair.app and let me know what you think. Feedback is very welcome! https://www.codeair.app October 5, 2024 at 06:35PM
Show HN: Production Quality AI True Crime Podcast Generator Hello HN! My brother and I built Golpo, the first production-quality AI true crime podcast generator. Just tell Golpo what you want to listen to and it creates a real true crime podcast (usually > 30 min long) in minutes. Golpo does everything that a human podcastor would do. It first understands what you want to listen to, does highly detailed research on the case, creates a script and then uses that to create a production-quality podcast Golpo ensures that every story is meticulously fact-checked and based on real-life events. Say goodbye to waiting for new episodes and experience true crime made just for you on demand. Available today. No waitlist! Web: golpo.app App Store: https://ift.tt/nG5Ksxo... https://golpo.app October 6, 2024 at 02:30AM
Show HN: open source framework OpenAI uses for Advanced Voice Hey HN, we've been working with OpenAI for the past few months on the new Realtime API. The goal is to give everyone access to the same stack that underpins Advanced Voice in the ChatGPT app. Under the hood it works like this: - A user's speech is captured by a LiveKit client SDK in the ChatGPT app - Their speech is streamed using WebRTC to OpenAI’s voice agent - The agent relays the speech prompt over websocket to GPT-4o - GPT-4o runs inference and streams speech packets (over websocket) back to the agent - The agent relays generated speech using WebRTC back to the user’s device The Realtime API that OpenAI launched is the websocket interface to GPT-4o. This backend framework covers the voice agent portion. Besides having additional logic like function calling, the agent fundamentally proxies WebRTC to websocket. The reason for this is because websocket isn’t the best choice for client-server communication. The vast majority of packet loss occurs between a server and client device and websocket doesn’t provide programmatic control or intervention in lossy network environments like WiFi or cellular. Packet loss leads to higher latency and choppy or garbled audio. https://ift.tt/3vlLIA6 October 4, 2024 at 10:31PM
Show HN: I made a super-simple image CDN Hi HN, MageCDN is a simple and affordable image hosting service I have been working on for the past few weeks. The idea came out of my own frustration with hosting and optimizing images for my blog. While platforms like Imgur make it really simple to upload images, they don't allow you to embed them. Services like Cloudinary, Imagekit exist, but I found them too complex for my needs. Plus, they get really expensive past their free tier. So, I started MageCDN with three simple goals: - pricing should be affordable and scale linearly. - basic image operations (resize, crop, optimize) should be doable within the app. - uploading and getting a link you can use should be fast and hassle-free. Would love to hear what you think! https://magecdn.com/ October 3, 2024 at 09:04PM
Show HN: I have published a mobile HN client to have coffee chat with HN users Hi, I have published a mobile app to have coffee chat with HN users. There was already a guy who made a website for this, but I wanted to do it in mobile to practice WebRTC(technology behind the audio chat) and have some fun. I haven't spent too much time in terms of the general functionality as a HN client but can upgrade it if there are enough users enjoying the app. You can download the apps via the links below; IOS: https://ift.tt/E0DIRyW... Android: As you might have known, Android requires the app to be tested in a closed beta with at least 20 people So you can follow these steps to be a part of it and download; 1 - join the group https://ift.tt/LPSMDGe 2 - download the app and enjoy https://ift.tt/zKLxqMB... or https://ift.tt/6AFIxOM Feel free to contact me if you have any questions; https://ift.tt/ZQKAcR4 October 3, 2024 at 09:43PM
Show HN: My Voice AI interviews you, then writes your LI / X posts I'm Tom, the cofounder of Canonical AI. I build a Voice AI agent that interviews you, then writes LinkedIn and X posts based on the interview. ### Why did I build this? 1. LinkedIn and X are b2b lead goldmines. But generating content is hard. You have to figure out what to say. If you're like me, you have trouble coming up with social post ideas when staring at a blank screen. But interesting ideas arrive when I step away from my laptop and talk to people. Also, it's hard to compose the content in a way that appeases the platform algorithms. 2. I want to dogfood my product. We’re building Mixpanel for Voice AI Agents ( https://ift.tt/zmOdraC ). We map the caller journeys. We provide audio metrics like latency and interruptions. We show Voice AI devs why and when their agents are failing. I want a Voice AI agent so I can be a user of my Voice AI analytics product. 3. Voice AI will eat the world! This project is essentially a Voice UI for a social media content generation platform. We’re seeing more and more Voice AI interfaces like this (e.g., NotebookLM converts any content into a podcast), and many more use cases for Voice AI agents. ### How did I build this? I built the Voice AI agent using Vapi ( https://vapi.ai/ ). Vapi is amazing! It’s by far the best end-to-end Voice AI platform out there. I actually had to add latency to the Voice AI. I am a slow thinker / talker and it was unrealistic that _my_ Voice AI clone would respond at normal human intervals. I cloned my voice using PlayHT ( https://play.ht/ ). Yes, my voice really is that airy. I wish I could say it’s an issue with PlayHT’s voice cloning, but it’s spot on. The hardest part has been making the social posts feel like they weren't written by an LLM. I initially was using 4o-mini, but they definitely felt written by...well...GPT. I broke the steps into smaller pieces, making one LLM call that extracts the key insights and quotes and another LLM call that generates the content. That helped, but the social posts still felt LLMy. Then I switched to using Claude. That made a big difference. I love Claude. I use Claude so much I'm not sure where I end and Claude begins. I'd love to hear suggestions from the community on how to make the LLM-generated content feel less, as a friend of mine said, boring AF. ### Example Output LinkedIn: Did you know that most Voice AI agent developers are still manually listening to call recordings? It's a time-consuming and ineffective approach to knowing what your agent is doing. It's like drinking from a fire hose. At Canonical AI, we’re changing that by providing Voice AI developers with caller journey maps, audio metrics, and conversation analytics. X: Voice AI developers are currently flying blind. At Canonical AI, we're changing that by building Mixpanel for Voice AI agents. You can see more on my recent posts on my LinkedIn ( https://ift.tt/jrLfp2e ) and Twitter ( https://ift.tt/MAo6BX0 ). ### Try it out! Here's the number: +15302038359 October 3, 2024 at 02:38AM
Show HN: Hexabot, Open-source AI Chatbot/Agent Tool Why Hexabot? - Fully open source (AGPLv3) - Easy-to-use interface - Multilingual and multi-channel support - Seamless integration with existing workflows and Text-to-Action Join the growing community of developers and businesses around the world building with Hexabot! Check it out: https://ift.tt/lPDXQqh https://ift.tt/k908FSL October 3, 2024 at 01:32AM
Show HN: Kameo – a Rust library for building fault-tolerant, async actors Hi HN, I’m excited to share Kameo, a lightweight Rust library that helps you build fault-tolerant, distributed, and asynchronous actors. If you're working on distributed systems, microservices, or real-time applications, Kameo offers a simple yet powerful API for handling concurrency, panic recovery, and remote messaging between nodes. Key Features: - Async Rust: Each actor runs as a separate Tokio task, making concurrency management simple. - Remote Messaging: Seamlessly send messages to actors across different nodes. - Supervision and Fault Tolerance: Create self-healing systems with actor hierarchies. - Backpressure Support: Supports bounded and unbounded mpsc messaging. I built Kameo because I wanted a more intuitive, scalable solution for distributed Rust applications. I’d love feedback from the HN community and contributions from anyone interested in Rust and actor-based systems. Check out the project on GitHub: https://ift.tt/cTbqwXI Looking forward to hearing your thoughts! https://ift.tt/cTbqwXI October 2, 2024 at 11:52PM
Show HN: NewTabTodo Firefox Extension replaces your new tab with todo-list Hello HN, As an avid Firefox user, I have built a simple extension that replaces your new tab with a to-do list. You can add or delete your to-dos without leaving your browser. I felt that an extension like this didn't exist for Firefox, so I decided to build it myself. It features a minimal and clean UI. I am open to feedback Link to code: https://ift.tt/VsBZ1cD https://ift.tt/VdJS0Fi October 1, 2024 at 01:25AM
Show HN: PurePlates – A Recipe Scraping iOS App Hey Everyone! This is my first post on Hacker News, and I wanted to share my project with you! From a young age, I dreamed of becoming a chef, but life took me down the path of software engineering instead. Nevertheless, my passion for creating delicious meals has always remained close to my heart. This journey led me to seek out recipes to enhance my cooking skills, but I often found myself frustrated by the websites I encountered—ads everywhere, walls of text, and recipes that were difficult to follow. That’s where PurePlates comes in. PurePlates allows users to share a recipe through their mobile browser or simply copy and paste the URL directly into the app. In an instant, you receive a scraped recipe that includes instructions, ingredients, and any available nutrition information. You can easily start cooking and follow along step by step, making the process much more enjoyable. Plus, if you find a recipe you love, you can add it to your favorites for quick access later! As this is just an MVP, there’s still plenty of room for improvement, and I’m actively working on enhancing the extraction rate for recipes. Thanks for reading, and keep hacking! Connor https://ift.tt/hfCiHSM September 30, 2024 at 08:59PM
Show HN: I Built a Multimodel AI Chatbot to Avoid Having FOMO on the Best Models Hi HN, I built ChatOne while working on a project and constantly switching between AI models like GPT-4 and newer ones like Claude 3.5. I kept wondering if I was missing out on better answers, so I created ChatOne to get responses from multiple models at once and compare them easily. -Teddy https://chatone.io September 29, 2024 at 09:38PM
Show HN: Modern Benchmarking Tooling for JavaScript I always had a sweet tooth for how easy it is to use google/benchmark, but when working with js, current libraries didn't feel right and some were not even accurate enough, so I decided to create my own library to make JavaScript benchmarking tooling better. With more free time, I finally implemented all features I wished for in 1.0.0 and made a lightweight C++ single-header version for moments when google/benchmark is too much. Hope this library helps you as much as it does me. https://ift.tt/uvjWQBs September 29, 2024 at 12:24AM
Show HN: I Made a Site for Designers to Gen Great Patterns Quickly, No Headaches It was a crisp autumn evening when I found myself burning the midnight oil, yet again. As a graphic designer, I was knee-deep in a project that required intricate patterns for a client's new product line. The clock ticked mercilessly as I struggled with complex design software, trying to bring my vision to life. That's when it hit me – why couldn't I just tell a computer what I wanted and have it create the pattern for me? Why did I need to wrestle with technical jargon and complicated prompts when I had a clear picture in my mind? This revelation sparked a journey that would consume the next eight months of my life. I dove headfirst into the world of AI, determined to create a tool that could understand designers' needs in plain English. It wasn't easy – there were countless late nights, gallons of coffee, and moments of doubt. I experimented with various AI models, eventually settling on a combination of Stable Diffusion and Flux, fine-tuned to understand design language and generate beautiful patterns. The result? AI Pattern – a game-changer for designers everywhere. Here's what makes AI Pattern special: 1. Speak Your Mind: Just describe what you want in everyday language. No need for complex prompts or technical terms. 2. Lightning Fast: Generate stunning patterns in seconds, not hours. 3. Intuitive Interface: User-friendly design that feels like chatting with a creative assistant. 4. Endless Variety: From geometric to organic, abstract to realistic – if you can imagine it, AI Pattern can create it. 5. Customization Options: Tweak and refine generated patterns to match your exact vision. Now, I'm thrilled to share AI Pattern with fellow designers and creative minds. It's more than just a tool – it's a partner in creativity, ready to transform your ideas into visual masterpieces. I invite you to try AI Pattern and experience the joy of effortless pattern creation. Your feedback is invaluable as we continue to refine and improve this design revolution. Together, let's push the boundaries of what's possible in the world of pattern design! So, are you ready to turn your words into wonders? Give AI Pattern a spin and let your creativity soar! https://ift.tt/AukwWZi September 28, 2024 at 05:31PM
Show HN: DecisionBox – Continuous Accuracy Improvement for LLM Apps Just released DecisionBox, an open-source SDK that helps developers make high-accuracy decisions in LLM apps, which continuously improve with more data. DecisionBox tackles the challenge of maintaining decision accuracy beyond the limitations of prompt engineering. It streamlines the data science process with an easy-to-use API and enables ongoing accuracy metrics and model improvements. Get started: https://ift.tt/mY9GlpB We’re excited to hear feedback and answer any questions! AMA. https://ift.tt/mY9GlpB September 28, 2024 at 12:27AM
Show HN: A tool that turns everyday computers into your own AI cloud I have a favour to ask. I’ve been working for a while on Kalavai, a project to make distributed AI easy. There are brilliant tools out there to help AI hobbyists and devs on the software layer (shout out to vLLM and llamacpp amongst many others!) but it’s a jungle out there when it comes to procuring and managing the necessary hardware resources and orchestrating them. This has always led me to compromise on the size of the models I end up using (quantized versions, smaller models) to save cost or to play within the limits of my rig. Today I am happy to share the first public version of our Kalavai client (totally free, forever), a CLI that helps you build an AI cluster from your everyday devices. Our first use case is distributed LLM deployment, and we hope to expand this with the help of the community. Now, the favour! I’d love for people interested in AI at scale (bigger than a single machine) to give it a go and provide honest feedback. Do you share our motivation? If you tried Kalavai, did you find it useful? What would you like it to do for you? What are your painpoints when it comes to using large LLMs? https://ift.tt/YW87g3m September 27, 2024 at 11:42PM
Show HN: 1Minute Break – VS Code extension for developer well-being As a developer, I often found myself working for hours without breaks, leading to eye strain and back pain. I created 1Minute Break to solve this problem for myself and others. that reminds developers to take short, regular breaks. Features include: - Customizable break intervals - Interactive break reminders with suggested activities - Water intake tracking - Ergonomic exercise prompts It's designed to improve productivity and health without disrupting workflow. Feedback welcome! https://ift.tt/hqKTRCE... https://ift.tt/paKChtO September 26, 2024 at 11:29PM
Show HN: FastIndex, an open-source search engine indexation tool There's a lot of paid search engine indexation tools out there and I wanted to create my own. Been working as an engineer for over a decade now and my open-source contribution has always been something I wanted to do. Thus I decided to create FastIndex, an open-source search engine indexation alternative to paid solutions such as TagParrot, URLMonitor, Omega Indexer and many more. Source: https://ift.tt/9CQAk8J Wiki: https://ift.tt/0Atnkfw https://ift.tt/9CQAk8J September 26, 2024 at 06:46AM
Show HN: Httpdbg – A tool to trace the HTTP requests sent by your Python code Hi, I created httpdbg, a tool for Python developers to easily debug HTTP(S) client requests in Python programs. I developed it because I needed a tool that could help me trace the HTTP requests sent by my tests back to the corresponding methods in our API client. The goal of this tool is to simplify the debugging process, so I designed it to be as simple as possible. It requires no external dependencies, no setup, no superuser privileges, and no code modifications. I'm sharing it with you today because I use it regularly, and it seems like others have found it useful too—so it might be helpful for you as well. Hope you will like it. cle Source: https://ift.tt/0gH4fXc Documentation: https://ift.tt/XViB4Jx A blog post on a use case: https://ift.tt/jp4WwqT... https://ift.tt/0gH4fXc September 26, 2024 at 12:48AM
Show HN: Agentic AI coding tool that's easy to use, transparent and customizable Hey HN, I’d like to share a new agentic AI coding assistant I’ve been working on called OppyDev. Rather than trying to build something that will write the code for you this is aiming for something more collaborative. You can follow along as the AI makes updates and add your own changes on top. We’ve made the inner workings of the agent accessible to the user by outputting its workflow into the UI and allowing most actions to be triggered manually. You can also use the AI to create your own custom plugins to enhance the existing functionality. Here are some videos available demonstrating its usage: - https://www.youtube.com/watch?v=g9FrwVOHTdE&t=187s - https://www.youtube.com/watch?v=6JlQwnYn7RY&t=119s - https://ift.tt/pU68lyK The current version has been released in beta for PC and Mac as an electron app, with a VSCode plugin in the works. You can see a demo video and the full list of our feature set here, https://oppydev.ai . There is more about building plugins at https://ift.tt/YLwtx5y . You can get started for free with your own Pinecone and OpenAI API keys or you can message me for a promo code to get started with free credit. We're looking for feedback so we can improve the tool. We’re also offering free inference costs and support for several small teams that are interested in using the tool and providing feedback on an ongoing basis. Contact me at: https://ift.tt/RjdUz0L https://ift.tt/LK5XclQ https://ift.tt/7IS6mLJ September 25, 2024 at 01:17AM
Show HN: GitHub Repo Visualizer Using D3 I built this as part of my quest to properly learn data visualization. The code is the easy part! Some lessons learned: - personal verification of the the general truth that pie charts are tough! and the returns are not great for the effort due to people's difficulties perceiving angles - may not use "vanilla" d3 with no React. was difficult to adapt for mobile - the GitHub API provides fairly standardized responses so building dynamic charts wasn't too bad. But when working with streaming data (say Kafka) I can see this getting interesting... schema registry should help but creating a view into the data with a lookback would be interesting with d3, done it with altair before. https://ift.tt/vrRLJmU September 24, 2024 at 11:17PM
Show HN: I Wrote a Book on Java https://ift.tt/1oV5usg... This book is a distillation of everything I’ve learned about what effective development looks like in Java (so far!). It's about how to organize programs around data "as plain data" and the surprisingly benefits that emerge when we do. Programs that are built around the data they manage tend to be simpler, smaller, and significantly easier understand. Java has changed radically over the last several years. It has picked up all kinds of new language features which support data oriented programming (records, pattern matching, `with` expressions, sum and product types). However, this is not a book about tools. No amount of studying a screw-driver will teach you how to build a house. This book focuses on house building. We'll pick out a plot of land, lay a foundation, and build upon it house that can weather any storm. DoP is based around a very simple idea, and one people have been rediscovering since the dawn of computing, "representation is the essence of programming." When we do a really good job of capturing the data in our domain, the rest of the system tends to fall into place in a way which can feel like it’s writing itself. That's my elevator pitch! I hope you check it out. I'd love to hear your feedback. You can get 50% off (thru October 9th) with code `mlkiehl` https://ift.tt/1oV5usg... September 24, 2024 at 12:26AM
Show HN: Hoodmaps Meets 4chan I made this as a pair programming exercise with o1-preview. o1 did most of the heavy lifting, through high level prompts, but eventually I needed to diverge from it to get to completion. My initial prompt was: --- I'm making a web app: It's like 4chan, but each thread starts with a gps coordinate. People can only post text and images. I want to build it with flask and sqlalchemy. I want just the backend and data model that supports these threads, anonymous users, and users that can register a permanent username. Write as much of it as you can for me. --- This produced a fully scaffolded Flask app running on sqlite. After that, it took a few (casual) evenings of iteration to dockerize everything, implement postgres instead of sqlite, and use a bucket for storage. On my own, this would have easily taken me 10x the time. https://mapchan.com September 23, 2024 at 06:39PM
Show HN: I built a tool that helps with user onboarding and app understanding Hello HN, In April 2024, I launched my first app, in which people faced difficulties navigating it. Therefore, something had to be done in that regard. My first idea was to make a blog, in which I could present the app’s features so people would get a better understanding of it. However, that did not work, as people simply did not have the time to read all of the long and detailed instructions on how everything works. As this first experiment failed, I decided to add Knowledge Bases, where I took the content of the blogs and basically made them shorter so it would be easier to follow. However, users had difficulties following the instructions as they were simply too boring. It was still a difficult task for the user, as they had to remember each step, and if they forgot something along the way, they had to go back to the Knowledge Base and redo all the steps. At this point, I decided to step things up by creating video tutorials for each of the previous posts I had created. At that time, in my opinion, that had to be the end of the issue: I was literally showing the user what buttons to click step by step. However, despite it being an improvement, it did not solve the problem. People still had issues with finding the same buttons, especially if they were using different devices such as tablets or phones. I realized the solution was close; the only issue now was that the tutorials were hard to follow on different devices. I got tired of googling solutions and decided to create my own tool. The first idea was to directly mark the elements in the code and display pop-ups for each of them. As you may have thought, this was a tedious task because I needed to find the specific elements in my codebase and insert some attributes on them, not to mention that if I needed to use the same element for two different tutorials, I had to mark them differently. That said, I came up with the idea of creating a tool where you had a “Record” button, and once you start a recording, you just click the elements you want to highlight and type a description. With this, I finally had the solution to my problem. It was easy for me to set up, and it was just as easy for the user to follow. After seeing the results, I decided to make a standalone tool that could potentially help others. This is how Tooltip Tutorial was born. It’s very simple to use, it saves a lot of time, and right now it also has comprehensive analytics, which will help with optimizing the onboarding process for your apps. I am eager to see your opinion on this, and if there is anything I can do better, please let me know, and I will do my best to meet those requirements. Thank you! https://ift.tt/uVxFNkm September 23, 2024 at 12:50AM
Show HN: LyricFluent – Learn Languages with Music (Mainly Spanish) My motivation for this product was to 'scratch my own itch'. I speak a few languages, have been learning a few more, and have always enjoyed listening to music in my target language. After failing to find my ideal solution, I built my own. I also wanted to give myself this challenge so that I could become a better full-stack software developer. I built the website with React & Next JS, mobile apps with React Native, and the backend with Node JS. Hosted on DigitalOcean. I worked on this for 4 years (it has been a while), but most of this time was part-time while working another job for income. The URL linked here has free lessons with no account required. Main landing page: https://lyricfluent.com Feedback welcome! https://ift.tt/wsczgNm September 22, 2024 at 06:53PM
Show HN: I built a chatbot to converse with 3M SaaS product reviews Hey HN, I'm Andrei, and together with my co-founder Roman have been working on a tool called Reviewradar. Working with startups, doing interviews and sifting through endless software reviews are daunting tasks. So, we built a chatbot that lets you chat with over 3 million reviews from more than 100K SaaS products. With Reviewradar, you can ask questions like: - create a comprehensive SWOT analysis for both Notion and Obsidian - give me negative feedback and complaints you have about Postmark - summarise the reviews you have on products in the OCR category I would love to get your feedback on it. Check it out here: https://reviewradar.ai Looking forward to your thoughts / suggestions, Andrei and Roman https://reviewradar.ai/ September 22, 2024 at 06:34PM
Show HN: Inbound Email (SMTP) to Webhook Here's my first (hopefully of many) open source release. A minimal script to receive emails via SMTP, parse content (including headers), store attachments in Amazon S3, and forward email content to a webhook. I use it to power DMARC report storage and email content testing. Some of the big email API providers have inbound APIs but costs can rack up fast if you're using them at scale. Hence why I built this. https://ift.tt/2awnoUb Features - SMTP server to receive emails concurrently - Parses incoming emails using mailparser - Uploads attachments to Amazon S3 - Forwards parsed email content to a specified webhook - Configurable via environment variables - Handles large attachments gracefully - Queue system for processing multiple emails and webhook requests simultaneously https://ift.tt/2awnoUb September 22, 2024 at 11:49AM
Show HN: PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o I've developed a Python API service that uses GPT-4o for OCR on PDFs. It features parallel processing and batch handling for improved performance. Not only does it convert PDF to markdown, but it also describes the images within the PDF using captions like `[Image: This picture shows 4 people waving]`. In testing with NASA's Apollo 17 flight documents, it successfully converted complex, multi-oriented pages into well-structured Markdown. The project is open-source and available on GitHub. Feedback is welcome. https://ift.tt/KiFaz4T September 22, 2024 at 07:35AM
Show HN: Turn your dreams into reality with this life planner app Hi, this is Ygee, and I'd like to share the story of Y-Pod. Most people believe their big dreams are impossible to achieve, so they settle for less—not because they can’t, but because they feel overwhelmed and disconnected from that distant future. I felt the same way. It was a struggle juggling multiple apps like notes, to-dos, and calendars to plan my goals. I realized a dedicated app to organize my life goals would not only help me but also allow me to showcase my technical and creative skills. That’s how Y-Pod was born — to bridge the gap between big lifelong dreams and small daily actions, empowering users to turn their dreams into reality. My hope is that it will help others live their dream lives and, in doing so, make the world a better place. https://ift.tt/6eF2YUC September 21, 2024 at 06:24AM
Show HN: Open-source text classification CLI – train models with no labeled data aiq lets you use a single CLI command to auto-label text data with a language model API & train an efficient classifier on the labels. Training and inference are super fast (both run on CPU). https://ift.tt/QHNRcxY September 21, 2024 at 12:52AM
Show HN: EloqKV – Scalable distributed ACID key-value database with Redis API We're thrilled to unveil EloqKV, a lightning-fast distributed key-value store with a Redis-compatible API. Built on a new database architecture called the Data Substrate, EloqKV brings significant innovations to database design. Here’s the unique features that makes it stand out: - Flexible Deployment: Run it as a single-node in-memory KV cache, a larger-than-memory database or scale to a highly available, distributed transactional database with ease. - High Performance: Achieves performance levels comparable to top in-memory databases like Redis and DragonflyDB, while significantly outperforming durable KV stores like KVRocks. - Full ACID Transactions: Ensures complete transactional integrity, even in distributed environments. - Independent Resource Scaling: Scale CPU, memory, storage, and logging resources independently to meet your needs. We’d love to hear your thoughts and feedback! https://ift.tt/PtwZz65 September 19, 2024 at 05:33PM
Show HN: An Elliptic Curve-Based Secure Chat, Written Using Rust and Protobuf This is a project I made to learn more about crypto. I've also written a [post]( https://ift.tt/I5neNwp ) that explains all the crypto concepts and algorithms used in the project, and how I implemented them. I'd be very glad for any feedback about both the code and the post :) https://ift.tt/iLwqfOV September 19, 2024 at 11:52PM
Show HN: I Made TabDock–Organize Tabs,Kbar,and Searchbar Commands in the Browser Hey HN! I'm Angel, a recent grad who often juggles multiple projects at once. This leads to a clutter of unrelated tabs in my browser, making it hard to stay focused and organized. To solve this, I built TabDock, a tab manager that helps me stay organized by splitting my work into different windows. Here’s what TabDock offers: - New Tab Dashboard: A clean new tab page with a built-in calendar for quick scheduling. - Kbar Integration: Quickly search through open tabs or other tools. - Search Bar Commands: I’ve added customizable commands to the search bar because they’re cool and useful for opening tabs. I’d love to hear any feedback you have or ways to improve it! Thanks for checking it out! https://ift.tt/qYi3FlR https://ift.tt/qYi3FlR September 19, 2024 at 11:50PM
Show HN: Bot or Not? AI voices vs. humans My cofounder and I were playing with AI voices from different vendors and were shocked at how good the results were. We decided to make a game so you can test your own ability to tell humans from AI voices. This has helped us narrow down which voices we'd like to use for an upcoming project—perhaps you will find it useful and/or interesting too! Would love to hear any feedback you have! https://bot.unison.fm/ September 19, 2024 at 12:27AM
Show HN: GitNotebooks - Jupyter Notebook Review Tool Hey HN, would love some feedback on our Jupyter Notebook review tool! We help data science teams check one another's work and share knowledge that's stored in Jupyter Notebooks. Currently, we integrate with GitHub, allowing for review comment submissions, pull request approval, comments on markdown and code cells that sync with GitHub. Happy to answer any questions! https://ift.tt/GwHP6vh September 18, 2024 at 11:27PM
Show HN: I open-sourced my HN comment/reply alerts service 2 months ago I launched a service that sends email alerts when you get a new comment/reply on Hacker News. I've only been able to acquire 6 users since releasing it (°ー°〃) I tried promoting it here (duuh), Reddit, and LinkedIn. Optimized it for SEO (ranking 3rd on my target keywords). All with limited success. So I've decided to open-source it! Links to... - frontend: https://ift.tt/bjfNiAW... - backend: https://ift.tt/hKA8ads I'm still using it for myself, since there's no service that sends alerts when you get a new comment in one of your posts. But I won't invest any more time in it. Welcome any questions/comments! https://ift.tt/hKA8ads September 18, 2024 at 12:59AM
Show HN: Build event-driven workflows with Python async functions I noticed the new feature of llama-index: the event-driven workflow[1], which allows for building agents based on LLMs. I think the concept of an event-driven workflow is cool, but I don't find the way llama-index implements it to be intuitive. Therefore, I wrote a simple prototype to demonstrate what I believe is the correct approach. It supports the following features with just a few lines of code: - Multi-Recv: it supports an event to listen on a group of other events(or self), and triggered only when the group of events produced the results - Parallel Execution: using python event loop - Dynamic dispatch: it's a cool feature I think. You can use signals like goto or abort to change the event's return behaviors. [1]: https://ift.tt/sXB67PU... https://ift.tt/Ipm2E5P September 17, 2024 at 09:16PM
Show HN: Kty – The Terminal for Kubernetes kty is an SSH server written in rust that provides a TUI-based dashboard mapping k8s concepts onto SSH. It relies on OpenID providers for identity so that you don't need to introduce anything special to your stack. With SSH in place, there are some fun things you can do which are difficult otherwise: - Forward traffic from a service on the cluster to your local laptop using `ssh -R`. - Forward traffic from a local port to the cluster using `ssh -L`. - Use `scp` or any sftp client natively to copy files in and out of containers. - Shell into a container from anywhere that SSH is supported. https://kty.dev September 16, 2024 at 10:16PM
Show HN: AI Chatbot App with Pay-per-Use Access to Multiple Models I've built an AI chatbot app that provides pay-per-use access to multiple high-end AI models from different providers. It's designed for developers and hobbyists who need occasional access to powerful AI models without monthly subscriptions. Features: - Access to models from OpenAI, Anthropic, and others - Pay-per-use credit system - No monthly fees or commitments - Suitable for both hobby projects and professional use I'd love to get your feedback and answer any questions! https://ift.tt/HuDFacd September 16, 2024 at 11:22PM
Show HN: Preppr – a modern prepping/survivalist iOS app Hi, this is my first iOS app and built it for the prepping community as I saw all their existing apps looked like they were from 2010 :) It's 80-90% free (unless you are a power user e.g. create a lot of AI generated items, then there is a cheap pro plan). Enjoy! https://ift.tt/jzfa823 September 14, 2024 at 11:43PM
Show HN: Identify fake news, disinformation and clickbaits with Stampira Stampira is a community-driven search engine that relies on crowd sourced data to filter the search engine result page (serp) from things such as fake news, fake products, misinformation, disinformation, Clickbaits, scams etc by using dedicated stamps that are diagonally overlayed on the snippet of each search result. Stampira users can reward genuine websites that publish high quality articles with stamps such as: Well Researched, Well Written, Educative, Informative etc. Users can also revolt against websites that publish biased articles with stamps like: One-sided, Exaggerated, Misleading etc; Users can also flag AI written articles with the "AI-Generated" stamp. Registered users can select from a variety of stamps that they can use after visiting a website and nonregistered users can still search the web but can't stamp. Currently any website that has the "gov" domain extension can't be stamped, this measure is taken to protect government websites from vandalism and as such will have the "Protected" stamp diagonally overlayed on the snippet by default. The site will be updated on a daily basis as we begin to gather data on how users interact with the site and how they can potentially abuse it. In some cases we may hide the snippet on the serp to encourage users to read before they stamp. https://ift.tt/y4ezL6V September 14, 2024 at 03:25AM
Show HN: A YouTube videos course generator REPOST! (to get more feedback from HN) An exciting aspect of what I'm working on is that users can create their own playlists. For example, you can provide a description of what you're learning, such as a lesson title, and the pipeline will create a youtube playlist. Since the content is highly customized, it will be relevant and high-quality, matching current lessons or lectures in school or university. I'm trying to find a product structure that users will find valuable and effective. The web app is completely free to use right now as I figure out the best model. https://ift.tt/RynlgG0 September 12, 2024 at 10:35PM
Show HN: Pax – cross-platform GUIs with an integrated design tool Hey HN! We are Zack, Warfa, and Sam. After some human-years of building Pax, we're excited finally to enter Beta and to invite anyone to build with Pax for the first time. What is Pax? Pax is a tool for building native apps & websites, similar to SwiftUI or Flutter. Pax is driven by a declarative user interface description language that attaches to Rust application logic. Pax itself is built in Rust. Pax ships with an integrated vector design tool. This design tool is a bidirectional view into any Pax codebase: open codebase with designer, make visual changes, edit pax-lang or Rust by hand with any code editor, and continue to switch back and forth between visual and written modes. [0] Unlike most visual builders, Pax Designer has the tools, features, and conventions of a professional vector design tool (like Figma, Illustrator, or Flash.) This foundational goal required careful design of every aspect of Pax, from the grammar through the rendering engine, the layout system, and the standard library. Try it out You can try out Pax Designer right now on your machine and see the changes it makes to code in realtime: https://ift.tt/Jb9mrNv You can also run Pax Designer directly from our website, but you won't be able to see the code sync: https://www.pax.dev/ Pax Designer goes open source Along with this Beta launch we are open-sourcing Pax Designer[1], Pax’s integrated vector design tool — which itself was built 100% in Pax. That makes Pax Designer a solid reference example of Pax in production. What's next? We're working on a fully-featured hosted version of Pax Designer, which will become Pax Pro[4] — a team collaboration tool that enables non-developers to make visual contributions to GitHub repos hand-in-hand with developers. We are also working on Pax JavaScript, bindings that will allow pax-lang to attach to JavaScript/TypeScript application logic as an alternative to Rust. Other features and fixes will be a function of user feedback. Please take it for a spin, build something, and let us know what you think! See a partial list of current features on the GitHub README.[3] Please reach out to our team with any questions, ideas, or feedback! This thread, GitHub issues, or Discord[5] are good ways to get in touch. Pax today in Beta is far from perfect, but we're proud of how far it's come and excited about where it's headed. We hope some folks here will share our excitement, or even join us in our mission to make software creation more creative and accessible to more of humanity. -- [0] How Pax Designer reads & writes code: https://ift.tt/0wqU7xa [1] Source code for Pax Designer, built in Pax: https://ift.tt/6xqKZF2 [2] Get started: https://ift.tt/Jb9mrNv [3] GitHub Repo + Readme: https://ift.tt/3AdgWzu [4] Get early access to Pax Pro: https://ift.tt/NvfKId3... [5] Discord: https://ift.tt/s5PhNz3 https://www.pax.dev/ September 11, 2024 at 10:47PM
Show HN: Tune LLaMa3.1 on Google Cloud TPUs Hey HN, we wanted to share our repo where we fine-tuned Llama 3.1 on Google TPUs. We’re building AI infra to fine-tune and serve LLMs on non-NVIDIA GPUs (TPUs, Trainium, AMD GPUs). The problem: Right now, 90% of LLM workloads run on NVIDIA GPUs, but there are equally powerful and more cost-effective alternatives out there. For example, training and serving Llama 3.1 on Google TPUs is about 30% cheaper than NVIDIA GPUs. But developer tooling for non-NVIDIA chipsets is lacking. We felt this pain ourselves. We initially tried using PyTorch XLA to train Llama 3.1 on TPUs, but it was rough: xla integration with pytorch is clunky, missing libraries (bitsandbytes didn't work), and cryptic HuggingFace errors. We then took a different route and translated Llama 3.1 from PyTorch to JAX. Now, it’s running smoothly on TPUs! We still have challenges ahead, there is no good LoRA library in JAX, but this feels like the right path forward. Here's a demo ( https://ift.tt/UYEKRvD ) of our managed solution. Would love your thoughts on our repo and vision as we keep chugging along! https://ift.tt/8vNXrCc September 11, 2024 at 08:44PM
Show HN: Anthropic React Native Client I recently published a new package on npm that brings the Anthropic APIs to React Native without polyfills. The library supports chat streaming and normal chat completions. The goal of the library is to follow the Node SDK wherever possible while taking advantage of React Native SSE for streaming where the Anthropic Node SDK does not work. Lmk what you think or if this will be useful to you! https://ift.tt/gH8t7Qe September 10, 2024 at 09:30PM
Show HN: Turn Any ArXiv Paper into a 200-Page Prerequisite Reading Book I created this tool over the weekend because, as someone interested in AI and technology, I find many research papers on arXiv fascinating but often incredibly dense and difficult to understand due to the heavy jargon and technical language. I wanted to make these complex topics more accessible to laypeople like myself by converting the topics described in these papers into full-length books that break down key concepts, making cutting-edge research easier to grasp. You can think of it as generating prerequisite reading materials before being able to read the actual paper. Here are some noteworthy arXiv papers you can test this with: - Attention is All You Need: https://ift.tt/haVpYnf - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding: https://ift.tt/lerK3Th - GPT-3: Language Models are Few-Shot Learners: https://ift.tt/QFfh8xJ - Deep Residual Learning for Image Recognition (ResNet): https://ift.tt/qNhiJSe The tool leverages GPT-4o, Perplexity, and Instructor to analyze and break down the complex concepts within these papers. Keep in mind, it's not built for heavy traffic (current capacity is about 50 books per hour) so if things get busy, it may take a bit longer, but the book will arrive via email eventually! https://ift.tt/liGSrJ6 September 9, 2024 at 11:53PM
Show HN: SocialPredict, MIT Licensed, Easy to Deploy Prediction Market Platform Started this last October with the idea of enabling small communities to deploy their own walled-off prediction market instances. We are being used by Kenyon College and St. Lawrence University. To help please star, fork and suggest fixes, bugs or issues. Please submit a discussion on Github discussions if you would like help spinning up your own. https://ift.tt/GUcWfwX... https://ift.tt/1l89Wyu September 9, 2024 at 10:01PM
Show HN: Ki Editor - the multicursor syntactical editor Hi everyone, I have been developing this editor, Ki, for over a year, and have employed it substantially in all kinds of development (including Ki itself) for at least 3 months. I think it is mostly crystallized, thus I'm happy to share it with you today. Its main strength is first-class multi-cursor and structural (syntax) editing, which is a rare combination in the realm of editors (TUI or GUI alike). Hope you'll enjoy it! https://ift.tt/taIsgxm September 9, 2024 at 06:09AM
Show HN: Dump entire Git repos into a single file for LLM prompts Hey! I wanted to share a tool I've been working on. It's still very early and a work in progress, but I've found it incredibly helpful when working with Claude and OpenAI's models. What it does: I created a Python script that dumps your entire Git repository into a single file. This makes it much easier to use with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. Key Features: - Respects .gitignore patterns - Generates a tree-like directory structure - Includes file contents for all non-excluded files - Customizable file type filtering Why I find it useful for LLM/RAG: - Full Context: It gives LLMs a complete picture of my project structure and implementation details. - RAG-Ready: The dumped content serves as a great knowledge base for retrieval-augmented generation. - Better Code Suggestions: LLMs seem to understand my project better and provide more accurate suggestions. - Debugging Aid: When I ask for help with bugs, I can provide the full context easily. How to use it: Example: python dump.py /path/to/your/repo output.txt .gitignore py js tsx Again, it's still a work in progress, but I've found it really helpful in my workflow with AI coding assistants (Claude/Openai). I'd love to hear your thoughts, suggestions, or if anyone else finds this useful! https://ift.tt/fqjBGAH P.S. If anyone wants to contribute or has ideas for improvement, I'm all ears! September 9, 2024 at 01:38AM
Show HN: Magic List – Super Simple Todo List - After trying out many TODO lists wanted something that was super simple to use and share with family and friends - Runs entirely on the browser. No servers involved other than for downloading HTML/CSS/JavaScript - Sharing adds the contents of the list as URL query parameter which helps avoid need for a server. But limits size of lists that can be shared to around 2KB. - Comments, Feedback, Feature Requests Welcome! https://ift.tt/FrUQ41B September 7, 2024 at 11:24PM
Show HN: Museum Music – generate period-appropriate playlists from artwork This is Museum Music, an app to help experience art with era-appropriate music - photograph an art piece, and it will create a unique Spotify playlist that complements its era and style. We built this from our own experiences visiting museums and thoughts of enhancing the experience with music. It's built with GPT Vision and the Spotify API. Although the initial focus was on art-inspired music, it works surprisingly well on other, day-to-day photos too! https://ift.tt/JX5dmzu September 7, 2024 at 01:52AM
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