Show HN: I made an open-source Replit I spent the past few weeks making an open source cloud code editing environment with an AI copilot and multiplayer collaboration! It's fully self-hostable in 5-10 minutes. There's a lot of minor improvements to be made, and some are already listed in the Github issues. Let me know what you think and feel free to try it out. https://ift.tt/NKIO27M May 31, 2024 at 07:07AM
Show HN: I've build my RFID poker table for less than $300 I started my own side hustle building a smart poker table At this stage, I have a working prototype that can generate an overlay with player's and pot cards percentages, hand history, video editing, and more Here's a demo video: https://www.youtube.com/watch?v=5QU8MC7q8FQ https://ift.tt/Gxmu98s May 31, 2024 at 02:03AM
Show HN: Brisk a complete CI system is now Open Source Brisk is a complete CI system that runs your test suite in seconds. The main speedup over standard CI systems (think CircleCI or Github Actions) is that we maintain your test environments and don't rebuild them on each test run. This allows you to scale up your workers without just scaling up the build time on each test run. Brisk can be run from your local dev environment (the command line or VS Code) allowing your to access the speed of many servers from your local machine or it can be run as part of a traditional CI/CD pipeline (in Github actions etc). I've been working on Brisk for the last few years and I've decided to open source the project. You can now run your own super fast CI service on your own hardware or in your own cloud. https://ift.tt/QCwzkX9 https://ift.tt/I1X50Jn May 30, 2024 at 04:46AM
Show HN: ThreadPay: WeTransfer for money – a medium for money transfers Often cross-border bank transfers default to 3-5 business days, on the other side P2P fintechs need signup, KYC, and other steps. I built an app that eliminates the need to open an account or go through long verifications, allowing users to send money immediately. How? Via Visa and Mastercard card-to-card real-time transfers, money can be sent straight to a card using the card number only, without the requirement for IBAN, Swift Code, or any extra routing data. *Link to MVP*: [ https://app.threadpay.io](https://app.threadpay.io/) *Link to Memo with demo recordings*: https://ift.tt/1v2KFL9 *Link to Landing page*: [ https://threadpay.io](https://threadpay.io/) https://ift.tt/d1T8oUw May 29, 2024 at 05:28AM
Show HN: A New Kind of Chat Room I’ve developed an application that reimagines chat rooms by integrating them with a world map. Each user can claim a rectangular piece of land on the map, referred to as a "banner." Users within close proximity are grouped into a chat room by the app. The banner’s size can expand or shrink based on the density of users in the area and the number of coins in the user’s account. Key Features: Real-World Interaction Model: Users are pseudo-anonymous, akin to real-world interactions. Coin balance determines user size and visibility ("stature"), while endorsements and other activities form a unique endorsement chart, serving as a digital representation. This allows for interaction without revealing one’s entire social or professional network. Community Clusters: Users can form open communities based on real-world locations. New users can discover and join these clusters via heatmaps, without needing specific URLs or hashtags. Initial Coins: New users start with 1000 coins. These coins can be used to endorse other users' content, earning stakes in the endorsed banner. When others endorse that banner, the original endorser gains more coins. This endorsement economy is experimental, and could eventually involve crypto tokens. Useful Points: Banner Interactions: Clicking on a banner opens it fully. A button with a chart icon on the top right flips the banner to display the activity chart. Compatibility: The application currently works best on Google Chrome. Heatmap View: Zooming out on the map reveals a heatmap of banners. Side Panel Tabs: First Tab: Displays a feed of content from the visible map area. Second Tab: Contains the cluster chat. Current User Base: At the moment, only my friends and family are using the application, so banners are predominantly found in the Chicago area. For more details, refer to the white paper provided. I’m excited to share this application and look forward to your feedback! https://beescribe.com/ May 28, 2024 at 09:37AM
Show HN: Get paid to do your own ML research I'm launching an experimental research grant that I call Cat's grant (I'll find a better name later). tldr: - you get paid to do your own research and report to me - you keep IP/ownership rights - 10 months duration - choose a grant size of $10k, $50k or $100k total (paid in monthly chunks) - Apply by sending an email to not_a_cat@fastmail.com How it works: You specify the grant size when applying: 10k, 50k and 100k. This total amount will be distributed over a period of 10 months. I will review each application within 1 week. The deadline to apply is June 9. The start date is flexible and can be the start of June, July, August or September. The total budget I will allocate to this is around 100-200k I haven't yet made a proper contract reviewed by lawyers. If interest is strong enough, I will do it and try hard to keep the spirit of what is said here. The contract will be under Swiss law. Rationale: I get to meet cool people, promote and follow cool research. You get to do the research you want with little red tape (I'll be the sole decision maker for applications. Paperwork will be done with the help of other people). Application process: You choose the grant size you apply for. You can apply to multiple ones at the same time. Then, you may be accepted for one grant option or rejected for all. The process has 3 stages: - Email application - First screening call - Second call with more in-depth questions If you complete the 3 steps, you are accepted in the grant program. Reporting requirements: You are expected to produce the following: - A weekly email report that can be as short as a single sentence (meant as a pulse that you are still here) - A monthly research update that has to be public, in the format you want (github file, blog post…) - Do a monthly call with me, discussing the monthly research update Payment schedule: One payment of 10% of the total amount will be made at the end of each month while the grant is active. The grant may be canceled if the reporting and effort is insufficient. The bar for this will be reasonably low. Effort and time spent will be considered good enough for keeping the Grant active. Research directions: You are free to decide what topic to research. Reading and studying during the research is considered normal. I will try to be helpful and suggest research directions and ideas. I will only consider applications in the domains of Machine Learning, Deep Learning and AI broadly speaking. With a preference for topics related to the following: - LLMs and Transformer architectures - Mechanistic interpretability - World models - Self play / synthetic data - Probabilistic programming Copyright and IP rights: The research remains your intellectual property. You can use it and commercialise it as if you produced it independently of the grant. Time commitment: You are expected to spend at least 50% of your working time on research related to the grant. You may have other commitments at the same time, as long as you can free up enough time. Selection criteria: - How excited I am about the research you want to do - Whether I believe you can make good progress on it - Intrinsic motivation and strong determination How to apply: Send an email to not_a_cat at fastmail com with the following: - Subject: "Application for Cat's Grant [10k, 50k, 100k]". Only keep the grant size(s) that you actually apply for, eg [50k] or [10k, 50k]. - Info about yourself, please include links to github/linkedin and/or resume - Recent projects/research you've done if any - Outline of the research you want to do as part of the grant. It's ok if you only have a vague idea, but better if you have something specific. It can be new or existing research. - Anything else you think is relevant. Evidence of strong capability is a plus, even if unrelated to ML research. Happy to answer questions or comments. May 27, 2024 at 08:24PM
Show HN: Blue Noise – Interactive Explanation of Void and Cluster Algorithm After reading about the generation of blue noise here on HN a few times my goal was to implement my own variant of the the Cluster and Void algorithm in the most straight-foward way possible, while also visualizing each step. (JavaScript is required in order to step through the algorithm) Most other Blue Noise generator implementations are optimized for speed. Many explanations of the Cluster and Void algorithm I found online were overly complicated or focusing on details that do no help the initial understanding. My implementation is optimized for readability and understanding. I find it very inspiring see an algorithm broken down to its most essential steps. For one in order to better understand the algorithm itself but also for transfering its key concepts to other tasks, for example when designing my own algorithms. Eg in my rather high level python/numpy implementation one can easily understand that the two phases of the algorithm (phase 2 and phase 3) have no data dependency between each other and can therefor be parallelized. Additionally the numpy implementation demonstrates how the application of high level concepts like rank-polymorphism and convolution allow to express a sophisticated algorithm in only a few lines of code. Hope you like it. https://ift.tt/npoiUCS May 28, 2024 at 03:37AM
Show HN: Meal planning – without the mental load TLDR; I applied the concept of "don't make me think" to the task of selecting meals, and assembling the shopping list for your grocery run. The basic idea for what I wanted is very simple: Rather than making a shopping list, I wanted to create a re-usable 'meal', with a list of ingredients I'd need to add to my shopping list to make that meal. Then, after selecting meals for the week I'd have a quick 'check' step, where I'm prompted to check the cupboard for each ingredient, before it's added to the shopping list (ie: I'll need ground beef to make tacos, but I already HAVE ground beef in the freezer). I originally built this out just for myself, but the result has been such a helpful and stress-free experience that I thought others might appreciate it as well. I think this tool could be well-suited for younger folks that are new to the labour of meal-planning. College students, newlyweds, and families with young children. You can try it out without needing to register or provide any personal information, and I'd love your feedback! https://supperstock.ca/ May 28, 2024 at 12:34AM
Show HN: I generated API documentation for all Java packages Hi HN! I'm excited to share a project I've been working on for the past year: Docland. It is an API documentation browser that generates documentation on demand (through compilation, not LLMs) for Java packages. Instead of relying on Javadoc, the built-in doc generator, I created the engine from scratch to give the documentations a modern look, build fast search indexes, and enable link resolution to other packages. I built Docland because I constantly found it frustrating to locate and view API definitions when programming. You'd have to Google the function/class name, skip all the SEO articles, find the page you want, yet the documentation might be poorly formatted or does not support searching. So I thought it would be really cool to create a documentation site dedicated for programming languages and libraries, so that you can find the docs all in one place with a uniform look. Docland currently only supports Java, but more programming languages can be supported thanks to its modular architecture. Please try it out and let me know what you think! Also, the process of building Docland was extremely fun and challenging. I'm happy to share about that too. Thank you! Martin https://docland.io May 26, 2024 at 06:05PM
Show HN: Uiino – Designing User Flows in Plain Text hi, i'm sanju, the creator of uiino.com. been there, done that with sticky notes for user stories. fun for brainstorming, but a nightmare to manage. i had to constantly move them around, keep track of changes, and explain my messy notes - it was frustrating! that's why i created uiino. it makes it easy to create user flows with just plain text, anywhere you can type. if you get stuck, our ai can even help you build a story map from your app idea. uiino keeps things clear and simple. we use tags to make it easy for everyone to understand. need feedback? you can add comments directly to the map. and if you need to move things around, it's super easy! we use uiino ourselves to build better products. to try ditching the sticky notes and see how clear user stories can help. uiino is free to use forever, but we're just getting started. we're working on integrations with figma to sync your app design flows, copywriting, translation, and collaborations. we're also working on more cool features. if you have feedback to make it even better, i'm all ears! try → https://story.uiino.com | docs → https://uiino.com/docs | about us → https://uiino.com/story https://www.uiino.com May 25, 2024 at 09:15PM
Show HN: A faster way to switch LLM models Really excited to release our universal model router for LLM models. We monitor usage across all your LLM models and now make it even easier to switch between them, no more time rebuilding your app when a new model is released. https://twitter.com/getPropsAI/status/1794085232951574529 May 25, 2024 at 01:01AM
Show HN: Spot – Simple, cross-platform, reactive desktop GUI toolkit for Go Hi HN, I’m excited to share Spot, a simple, cross-platform, React-like GUI library for Go. It is just a few days old and has lots of missing features but I'm happy with the results so far, and looking for some design feedback. Spot is designed to be easy to use and provide a consistent API across different platforms (mainly Mac & Linux). It’s inspired by React, but written in Go, aiming to combine the best of both worlds: the easy tooling & performance of Go with a modern, reactive approach to UI development. Key features: - Cross-platform: Leveraging FLTK[1] & Cocoa[2], Spot works on Mac, Linux, and the BSDs with plans for native Windows support in the future. - Reactive UI: Adopts a React-like model for building UIs, making it intuitive for those familiar with reactive frameworks. - Traditional, native widget set: Utilizes native widgets where available to provide a more traditional look and feel. Why I built it: I was searching for a cross-platform GUI toolkit for Go that had a more traditional appearance, and none of the existing options quite met my needs. I then started playing with Gocoa and go-fltk and suddenly I worked on an experiment to see how challenging it would be to build something like React in Go, and it kinda evolved into Spot. ¯\_(ツ)_/¯ In 2024, is there a still place for classic desktop GUIs—even with a modern spin? I’d love to hear your thoughts, feedback, and any suggestions for improvement. Also, contributions are very welcome. Thank you for checking it out! [1] https://ift.tt/Qpkdeor [2] https://ift.tt/xRan84E https://ift.tt/Y6qyKt1 May 25, 2024 at 12:49AM
Show HN: We open sourced our entire text-to-SQL product Long story short: We (Dataherald) just open-sourced our entire codebase, including the core engine, the clients that interact with it and the backend application layer for authentication and RBAC. You can now use the full solution to build text-to-SQL into your product. The Problem: modern LLMs write syntactically correct SQL, but they struggle with real-world relational data. This is because real world data and schema is messy, natural language can often be ambiguous and LLMs are not trained on your specific dataset. Solution: The core NL-to-SQL engine in Dataherald is an LLM based agent which uses Chain of Thought (CoT) reasoning and a number of different tools to generate high accuracy SQL from a given user prompt. The engine achieves this by: - Collecting context at configuration from the database and sources such as data dictionaries and unstructured documents which are stored in a data store or a vector DB and injected if relevant - Allowing users to upload sample NL <> SQL pairs (golden SQL) which can be used in few shot prompting or to fine-tune an NL-to-SQL LLM for that specific dataset - Executing the SQL against the DB to get a few sample rows and recover from errors - Using an evaluator to assign a confidence score to the generated SQL The repo includes four services https://ift.tt/6M8dCER : 1- Engine: The core service which includes the LLM agent, vector stores and DB connectors. 2- Admin Console: a NextJS front-end for configuring the engine and observability. 3- Enterprise Backend: Wraps the core engine, adding authentication, caching, and APIs for the frontend. 4- Slackbot: Integrate Dataherald directly into your Slack workflow for on-the-fly data exploration. Would love to hear from the community on building natural language interfaces to relational data. Anyone live in production without a human in the loop? Thoughts on how to improve performance without spending weeks on model training? https://ift.tt/erUiSsA May 23, 2024 at 09:20PM
Show HN: Cookiecutter Data Science – V2 Launch We've just released the V2 of the cookiecutter-data-science project template! Thanks to everyone that has used it and given feedback over the years. Highlights include: - New, prettier, more helpful docs - Support for more choices for tools when using the template - Some tweaks (but keep the core) of the folder/file structure - New CLI entrypoint (for more flexibility going forward) - Comprehensive test suite - And more! Lots has changed in the data science and machine learning landscape since V1 launched, and so we wanted to reflect that in the template. More choice is part of the plan for v2.1, so if you have tools you want supported, let us know. To read more about the changes, what is different, what is staying the same, and our thoughts on the data science tools landscape, see the announcement blog post: https://ift.tt/OLkxTa8 https://ift.tt/n4Ht9LS May 22, 2024 at 11:58PM
Show HN: Neosync – Open-Source Data Anonymization for Postgres and MySQL Hey HN, we're Evis and Nick and we're excited to be launching Neosync ( https://ift.tt/HsQNw9h ). Neosync is an open source platform that helps developers anonymize production data, generate synthetic data and sync it across their environments for better testing, debugging and developer experience. Most developers and teams have some version of a database seed script that creates some mock data for their local and stage databases. The problem is that production data is messy and it’s very difficult to replicate that with mock data. This causes two big problems for developers. The first problem is that features seem to work locally/stage but have bugs and edge cases in production because the seed data you used to develop against was not representative of production data. The second problem we saw was that debugging production errors would take a long time and would often resurface. When we see a bug in production, the first thing we want to do is reproduce it locally, but if we can’t reproduce the state of the data locally, then we’re kind of flying blind. Working directly with production data would solve both of these problems but most teams can’t because of: (1) privacy/security issues and (2) scale. So we set out to solve these two problems with Neosync. We solve the privacy and security problem using anonymization and synthetic data. We have 40+ pre-built transformers (or you can write your own in code) that can anonymize PII or sensitive data so that it’s safe to use locally. Additionally, you can generate synthetic data from scratch that fits your existing schema across your database. The second problem is scale. Some production databases are too big to fit locally or just have more data than you need. Also, in some cases, you may want to debug a certain customer’s data and you only want their data. We solve this with subsetting. You can pass in a SQL query to filter your table(s) and Neosync will handle all of the heavy lifting including referential integrity. At the core of Neosync does three things: (1) It streams data from a source to one or multiple destination databases. We never store your sensitive data. (2) While that data is being streamed, we transform it. You define which schemas and tables you want to sync and at the column level, select a transformer that defines how you want to anonymize the data or generate synthetic data. (3) We subset your data based on your filters. We do all of this while handling referential integrity. Whether you have primary keys, foreign keys, unique constraints, circular dependencies (within a table and across tables), sequences and more, Neosync preserves those references. We also ship with APIs, a Terraform provider, a CLI and Github action that you can use to hydrate a CI database. Neosync is an open source project written in Go and Typescript and can be run on Docker Compose, Bare Metal, or Kubernetes via Helm. You can also use our hosted platform or managed platform that you can deploy in your VPC. We also have a hosted platform with a generous free tier - https://neosync.dev Here's a brief loom demo: https://ift.tt/qOxJTdQ?... We'd love any feedback you have! https://ift.tt/GQF6TrE May 22, 2024 at 11:23PM
Show HN: B-field, a novel probabilistic key-value data structure (`rust-bfield`) `rust-bfield` is a Rust implementation of our novel "B-field" data structure, which functions like a Bloom filter for key-value lookups instead of set membership queries. The B-field allows you to compactly store data using only a few bytes per key-value pair. We've successfully utilized it in genomics to associate billions of "k-mers" with taxonomic identifiers while maintaining an efficient memory footprint. But the data structure is also useful beyond computational biology, particularly where you have large unique key domains and constrained value ranges. Available under an Apache 2 license. We hope it proves useful, and we're happy to answer any questions! https://ift.tt/Dbh1iCX May 22, 2024 at 11:23PM
Show HN: I made a Flutter app for loneliness. 14000 min of voice messages later: I hope you are doing better today than yesterday. (TLDR in the comments; or enjoy my story :) ) Why: About 11 months ago, I launched my app for the first time on Reddit's r/lonely because I had previously experienced loneliness myself during grad school. I wanted to reach out to people going through similar experiences by providing them with what would’ve helped me in the past. I felt this was an important mission for me and a much more rewarding one than my day job that I quit my job to work on the app full-time. It was necessary because I did not come from a programming background. I knew how to program in the sense of running scientific simulations on MATLAB, but creating the front-end and back-end for a consumer app was totally new to me, so I had to learn from scratch. I enjoyed everyday going to a cafe to learn from programming crash courses on YouTube, developing the app little by little, and eventually launching the app! The initial response was actually pretty great: 220 upvotes for the app launch post! How: I made the app to be based on voice, and nothing else: no profiles, no profile photos, and even no texts. The reason for that was I felt a lot of people felt lonely and had trouble finding meaningful online connections because of the modern communication medium which actually promotes superficial and viral contents over authentic and long-form contents. It is easy to see from examples: TikTok’s 30 second videos, Instagram’s eye-popping photos by beautiful people from the globe, and Twitter(X)’s 140-char spicy takes. Sure, these platforms offer us information about DIYs, trends, and news that can enrich our lives and entertain us, but they don’t by all means help us feel more connected to individuals. Even on Reddit, the contents tend to be more wholesome and there are hilarious comments that build on top of each other, but the actual sense of connection you feel with the users is tenuous. Focusing on voice worked! It was incredible listening to the heartfelt messages from strangers from all over the world who opened up about their loneliness and didn’t mind being vulnerable to other strangers. I have personally spoke with everyone that came by. The 14k minutes of voice messages do not include my own voice messages; they are all messages that people left for their own posts, to each other, or as replies to me. Highlights: There were some incredible moments, which would be too long to share in this post (leave a comment if you want to hear more!), but some of the highlights were (note: these are all from public conversations): * Lady in New Brunswick, Canada was extremely depressed after a difficult divorce and felt being on the life’s edge. She was getting scammed left and right on dating apps and was losing hope. She told me that I was the only one that she felt she could trust and talk to, and she probably wouldn’t be here if I ever stopped talking to her. Thankfully, she eventually managed to find a boyfriend and she thanked me for having always been there for her. She still came back to the app to act as a supporter for other lonely souls for a while! * Gentleman in New York, USA felt isolated in a farm and felt he had no real connections with anyone. He shared with me and other users about his life growing various vegetables, but stopped coming on the app for a couple of months. When he came back, he was pleasantly surprised by the app’s development, felt I really believed in my mission to help lonely souls, and became an evangelist for my app :) He posted on several forums on Reddit and engaged in conversations with many users on the app. ... Continued in the comment https://ift.tt/WG62mKl May 22, 2024 at 11:06PM
Show HN: I recreated Jeffery Ventrella's "Particle Life" This weekend's coding session was dedicated to recreating Jeffery Ventrella's "Particle Life". As you can imagine, I had a lot of fun with it. I recently saw this here on Hacker News and found it strange that I’d never come across it before. Source code: https://ift.tt/39Piwjk The color palette is by Alex Cristache. https://twitter.com/AlexCristache/status/1791122643816431930 https://ift.tt/AevdoiJ May 18, 2024 at 01:47AM
Show HN: Optigraph – optimum graph network generator I've created a tool that helps plan graph networks for the best possible connections between nodes. The idea is for it to be used as a kind of underground system planner. I am still working on improving the algorithms it uses, but please consider checking it out for new ideas/bug catching. https://ift.tt/daRKNO8 May 19, 2024 at 03:00PM
Show HN: SQLFrame – I ran PySpark without Spark on a SQL database Recently I open-sourced SQLFrame, a DataFrame library that implements the PySpark DataFrame API but removes Spark as a dependency. It does this by generating the corresponding SQL for the DataFrame operations using SQLGlot. Since the output is SQL this also means that the PySpark DataFrame API can now be used directly against other databases without the Spark middleman. I built this because of two common problems I have faced in my career: 1. I prefer to write complex pipelines in PySpark but they can be hard to read for SQL-proficient co-workers. Therefore I find myself in a tradeoff between maintainability and accessibility. 2. I really enjoy using the PySpark DataFrame API but not every project requires Spark and therefore I'm not able to use the DataFrame library I am most proficient in. The library currently focuses on transformation pipelines (reading from and writing to tables) and data analysis as key use cases. It does offer some ability to read from files directly but they must be small although this can be improved over time if there is demand for it. SQLFrame currently supports BigQuery, DuckDB, and Postgres with Clickhouse, Redshift, Snowflake, Spark, and Trino in development or planned. You can use the "Standalone" session to test running against any engine supported by SQLGlot but there could be issues with more advanced functions that will be resolved once officially supported by SQLFrame. Blog post for more details: https://ift.tt/tDzihAP... Would love to answer any questions or hear any feedback you may have! https://ift.tt/2QeqvES May 21, 2024 at 06:39AM
Show HN: Recall Memory – Your Personal Local Time Machine for Mac Recall Memory is a free Sandboxed Mac App which let's you scroll through time and allows you to "Recall" what you were doing earlier. Recall works by capturing the active window every second and only saves screenshots with significant changes. Making it easy to scroll through what you were doing earlier. All data is processed and always stored locally. https://ift.tt/jAW9HQT May 21, 2024 at 05:18AM
Show HN: Checkpoint 401 – forward auth server in TypeScript / Deno I wrote a forward auth server in TypeScript and Deno. I've written several forward auth servers before but they have always been specifically written for that application. I wanted something more generalised that I could re-use. What is forward auth? Web servers likes Nginx and Caddy and Traefik have a configuration option in which inbound requests are sent to another server before they are allowed. A 200 response from that server means the request is authorised, anything else results in the web server rejecting the request. This is a good thing because it means you can put all your auth code in one place, and that the auth code can focus purely on the job of authing inbound requests. Checkpoint 401 aims to be extremely simple - you define a route.json which contains 3 things, the method, the URL pattern to match against and the filename of a TypeScript function to execute against that request. Checkpoint 401 requires that your URL pattern comply with the URL pattern API here: https://ift.tt/QmLSTik... Your TypeScript function must return a boolean to pass/fail the auth request. That's all there is to it. It is brand new and completely untested so it's really only for skilled TypeScript developers at the moment - and I suggest that if you're going to use it then first read through the code and satisify yourself that it is good - it's only 500 lines: https://ift.tt/ob34pwt... https://ift.tt/Yu29nxV May 20, 2024 at 12:11AM
Show HN: A VS Code extension to check incompatible CSS I've developed a handy tool for Visual Studio Code that makes checking CSS compatibility very easy for developers. It provides instant feedback on syntax, keywords, types, and function compatibility. It even highlights deprecated, non-standard, and experimental features. https://ift.tt/j6cSEPp May 19, 2024 at 11:24PM
Show HN: Drivr – VR with real vehicles [video] This project combines VR with a real vehicle that you are controlling (or is controlling itself, in some scenarios). One advantage this has over traditional VR motion experiences is that your senses all agree with each other, thus greatly reducing the likelihood of motion sickness. The go-kart seen in this video is drive-by-wire and steer-by-wire, so the system will not let the player exit the defined safe area. If a player goes off course, the vehicle will take control, and return them to the start. The autonomous capabilities also allow for games where the player can focus on other objectives other than driving, such as target shooting. No infrastructure is required other than the vehicle and an open place to drive (which honestly has been the most challenging part lately). If you're interested in this project, I'd love to connect! https://www.youtube.com/watch?v=Q76X0cnSGHk May 17, 2024 at 12:49AM
Show HN: A job board that helps you find impactful roles Hi everyone! We wanted to make it easier for people to find high-impact roles across various fields, so we built a job board that highlights relevant opportunities. We’re a nonprofit, so this is completely free. When we say “high-impact”, we mean that we think these roles are relatively likely to lead to substantial positive change in the world. We recognize that there’s a lot of uncertainty regarding this, since although we look into the jobs that we list, there’s no way to be sure which ones will end up being impactful (not to mention that people have different definitions of “high” and “positive” impact). We also know that not everyone prioritizes this kind of impact, especially given how hard the job-search process can be. But, we still think there’s value in trying to aggregate these kinds of jobs, in order to help interested people find them. https://ift.tt/GJEeroR May 16, 2024 at 07:48PM
Show HN: I made an AI-based domain name generator with availability check This project came from my own personal need. There are many AI based domain name generators on the market but most of them don't check for availability. Hopefully it helps someone else. https://ift.tt/RaeKdnw May 16, 2024 at 10:02PM
Show HN: Syntax highlighting tool for code snippets in HTML Hey! My name is Vojtěch. When I'm sharing code on my blog or elsewhere, I find it really annoying to format and highlight all the words in the code snippet. That's why I made CodeGlow, to make sharing sharing code easy and painless. https://ift.tt/ewq6MFH May 16, 2024 at 08:48PM
Show HN: Ask Hacker Search – Find out what HN thinks about any topic Hi HN! I'm Jonathan and I built Ask Hacker Search ( https://ift.tt/tpW3nEJ ), an LLM-powered version of Hacker News' Ask HN. Unlike Ask HN, Ask Hacker Search doesn't solicit new contributions from HN readers. Instead, it leverages Hacker News' historical data to answer questions, and offers LLM-generated summaries of those. I've used it for questions like "Should I use Drizzle or Prisma?" or "What is a good screen capture that allows easy zooming effects on Mac?". It is particularly useful when you're interested in understanding HN readers' sentiment about a topic, or when looking for expert insights on topics of interest to HN readers. I've been using it continually while building it, and have found it particularly useful to find software libraries recommended by HN or get quick vibe checks on hot topics. This builds on my release of Hacker Search two weeks ago ( https://ift.tt/2O9cQhk ), which offered a semantic search engine over top HN submissions. It's not just a small upgrade: covering comments was the #1 requested feature after that launch, so I rebuilt the near entirety of the product to support that. Please try it out and let me know what you think of it! I have to limit the number of LLM summaries each person can get for free, as this is entirely self-funded. If you hit the limit, you can subscribe for more summaries generated by a better model ($8/month), or bring your own compute by running inference on Ollama on your machine! https://ift.tt/tpW3nEJ May 16, 2024 at 10:41PM
Show HN: I open sourced Athena Crisis, a game built with React and CSS Hey HN! I'm so excited to open source Athena Crisis under the MIT-License and fund contributions to the game and the genre. If you like the game and want to support its development, please check it out on Steam or on athenacrisis.com. https://ift.tt/G2DvdtJ May 15, 2024 at 02:48AM
Show HN: PuppySignal, an open-source QR Tag for your pets A few years ago, I started working on a side-project just for my own use: a QR Tag for my pets. I decided to open-source it for anyone who might find it useful. The functionality is pretty simple: when you log in, you create a profile for your pet, and a QR code will be generated and linked to its profile. When someone scans this code and decides to share your pet's location, you will receive a notification on your phone with your pet's location, and the person who scanned it will see your contact information. https://ift.tt/wy1jNWd May 13, 2024 at 10:50PM
Show HN: Git Searcher, search commits for an added or removed string Hello all, I created a command line utility called Git Searcher that can find in which commit any line of code was added; it can also find where a line of code was removed. I have found this very helpful for determining where code originated from and for debugging. I hope you find this useful! Many thanks, Sam https://ift.tt/8MShziC May 12, 2024 at 11:20PM
Show HN: I built a website to create images from LaTex Hey everyone, I was doing some tests with Gaussian Blur and the 2D Gaussian formula. While writing code for the formulas (I'm just trying to learn new things, that's all), I wanted to see LaTeX formulas in my IDE as images or in any convenient way. However, I couldn't find any proper method, such as writing LaTeX as a comment and seeing them as images, etc. So, I started to create my 2-step project: a LaTeX-to-image website & plugin for my IDE. I've completed the first step of this project. I've created a website called https://pictotex.com/ I didn't return to this project due to things happening in my life, but today I just checked my CloudFlare account to see what is going on and I was surprised because I'm receiving 50-60 unique visitors daily. This is very "unique" for me. I plan to add a few more features, like maybe creating a service to use "blang/latex" for better results. I hope this website helps you, even in a small way. I'd like to get your ideas & feedbacks. Behind the scene is very simple: NextJs, Supabase, Vercel https://pictotex.com May 11, 2024 at 06:22PM
Show HN: MinimalChat – A Simple and Customizable LLM Chat Application Hello everyone! I have a hobby project that has become fairly full featured that I figured I would share. The idea of MinimalChat has been to create a project that is a lightweight and dead simple application that can be deployed locally in a few seconds (with docker). While of course also having most of the nice to have features and looking pretty nice. A nice bonus is it a Progressive Web Application so it can be installed like a normal application to your mobile device. It has a full mobile UI. For those using Chrome and Edge you can also locally download, load and host entirely via your browser models like LLama-3-8b with hardware acceleration via WebGPU. It's pretty experimental but it does work! I won't bloat this post reiterating it's features, the GitHub Readme gives a good idea of the application abilities. I know chat applications are a dime a dozen but...here's another one hah! https://ift.tt/HkdGLob May 11, 2024 at 09:19AM
Show HN: AI Runner – my personal opensource, local, multi-modal, AI assistant AI Runner is an application I have been working on for well over a year. I am the only developer on the project. I currently do not have a job so I have treated this as my full-time job. 3.0 is not yet ready for release, but I wanted to show you some of the cool things I've done with it (see video in link or check out my youtube page for past progress updates https://www.youtube.com/@capsizegames4331 ). AI Runner is a privacy-forward, multi-modal offline AI application built with Pyside6, huggingface libraries, llamaindex and open source models. It allows for real-time text to speech conversations with chatbot agents that you can fully customize. The bots have personalities and "moods". The moods shift with the conversation. I am using custom agents and my own system for selecting actions which is very fast. The application also allows you to generate images using Stable Diffusion and controlnet (previous versions allowed Kandinsky), LLM for chatbots and RAG retrieval using Mistral 7b and T5, multi-lingual text-to-speech using speech-t5, bark and espeak. The whole thing can run on a single 2080s video card, or you can split it between multiple GPUs by assigning models to available cards. For example, I have a 2080s which I use for Stable Diffusion, and a 3060 that I use for the other models. I've built in lots of features such as drawing tools, RAG for documents and websites, image generation with the LLM or custom prompts and more. I post about it often on my Twitter acount ( https://twitter.com/xw4ffl35x ). In addition to being a stand-alone application, the goal is to make it usable as an engine to power other applications. For example I plan to use it to power an RPG I am developing in Pygame. The application is pure python and can be compiled with pyinstaller using the installation scripts included in the main repo ( https://ift.tt/cmbqr5P ). I am currently working on v3.0.0 which is under heavy development and is not stable. The last stable version came out over 8 months ago and was version 2.2 (you can find it tagged on github). This new version is a complete refactor and uses proper threading, has enhanced privacy and security features (the app is not able to access the internet and complete works around any security holes in the huggingface libraries by preventing them from accessing the internet or creating a .cache folder - there's more information about this in the README). --- I believe it is crucially important to have open source options when it comes to AI. I do not want to live in a world that is dominated by OpenAI. I want free, open source models and the ability to run them locally, offline for free. If you would like to support my efforts, please consider donating via patreon https://ift.tt/rlhxip4 https://twitter.com/xw4ffl35x/status/1778094355812700635 May 11, 2024 at 02:12AM
Show HN: A web debugger an ex-Cloudflare team has been working on for 4 years Hey HN, I wanted to show you a product a small team and I have been working on for 4 years. https://jam.dev It’s called Jam and it prevents product managers (like I used to be) from being able to create vague and un-reproducible bug tickets (like I used to create). It’s actually really hard as a non-engineer to file useful bug tickets for engineers. Like, sometimes I thought I included a screenshot, but the important information the engineer needed was what was actually right outside the boundary of the screenshot I took. Or I'd write that something "didn't work" but the engineer wasn't sure if I meant that it returned an error or if it was unresponsive. So the engineer would be frustrated, I would be frustrated, and fixing stuff would slow to a halt while we went back and forth to clarify how to repro the issue over async Jira comments. It’s actually pretty crazy that while so much has changed in how we develop software (heck, we have types in javascript now*), the way we capture and report bugs is just as manual and lossy as it was in the 1990’s. We can run assembly in the browser but there’s still no tooling to help a non-engineer show a bug to an engineer productively. So that’s what Jam is. Dev tools + video in a link. It’s like a shareable HAR file synced to a video recording of the session. And besides video, you can use it to share an instant replay of a bug that just happened — basically a 30 second playback of the DOM as a video. We’ve spent a lot of time adding in a ton of niceties, like Jam writes automatic repro steps for you, and Jam’s dev tools use the same keyboard shortcuts you’re used to in Chrome dev tools, and our team’s personal favorite: Jam parses GraphQL responses and pulls out mutation names and errors (which is important because GraphQL uses one endpoint for all requests and always returns a 200, meaning you usually have to sift through every GraphQL request when debugging to find the one you’re looking for) We’re now 2 years in to the product being live and people have used Jam to fix more than 2 million bugs - which makes me so happy - but there’s still a ton to do. I wanted to open up for discussion here and get your feedback and opinions how can we make it even more valuable for you debugging? The worst part of the engineering job is debugging and not even being able to repro the issue, it’s not even really engineering, it’s just a communication gap, one that we should be able to solve with tools. So yeah excited to get your feedback and hear your thoughts how we can make debugging just a little less frustrating. (Jam is free to use forever — there is a paid tier for features real companies would need, but we’re keeping a large free plan forever. We learned to build products at Cloudflare and free tier is in our ethos, both my co-founder and I and about half the team is ex-Cloudflare) and what we loved there is how much great feedback we’d get because the product was mostly free to use. We definitely want to keep that going at Jam.) By the way, we’re hiring engineers and if this is a problem that excites you, we’d love to chat: jam.dev/careers May 10, 2024 at 06:38PM
Show HN: MamaRap – AI-Generated Personalized Music Videos for Mothers Hello HN, I'm excited to share a project we launched - MamaRAP. What It Does: MamaRap generates personalized rap songs for mothers based on user inputs on the mother's treats and memories. The tool composes the lyrics, the accompanying music, and a one-minute video clip. Try It Out: We'd love your feedback. Use the promo code HN50OFF to get a 50% discount on generating the song. No sign-ups required. Looking forward to your feedback. We value your thoughts and input on our product and idea. https://ift.tt/6G8guiI May 10, 2024 at 01:15PM
Show HN: Loglayer: A fluid logging interface for JavaScript loggers This has been in use on our production systems for around two years now at Switchboard ( https://switchboard.app ). The problem we had was that we were using two different logging libs for our frontend and backend at the time (specifically roarr, and bunyan), and the API for the logging libs were not compatible with each other. Loglayer was designed to wrap around popular JS logging libraries where you can swap out any underlying library without re-writing your log entries to adapt to the new library. One common example is using plain "console" as a starting integration, but later swapping to a logging library like Winston once you've nailed down which JS logging lib fits your use-case. You can also swap to another from there (which we have done from bunyan to pino on our backend) if you need to later on. It also provides a fluid API that standardizes how one should feed error, set context, and metadata. This means regardless of the underlying logging library used, developers use the same API to write logs throughout. log .withMetadata({ some: 'data'}) .withError(new Error('test')) .info('my message') With this new 4.x release, I added a plugin system allowing you to manipulate data before it is shipped to the underlying JS logger). https://ift.tt/KVPTaFj May 10, 2024 at 12:15AM
Show HN: I created 3,800+ Open Source React Icons (Beautiful, Rounded Style) I’ve created a library of beautiful rounded icons and would like to share it with the Hacker News community. Any suggestions are highly appreciated. Features: - Beautifully rounded style - Over 3,800 icons - Editable stroke - Regularly adding new icons - Another standard version (less rounded) coming soon - Easy installation via npm or yarn https://ift.tt/47tOvIi May 8, 2024 at 11:47PM
Show HN: A multi-modal and AI first Knowledge Management System User Very much a work in progress, but building a LLM first PKMS (Personal Knowledge Management System). Here's what it allows you to do: - Express yourself in the way you want: supports text, whiteboards, OCR, audio and videos. Just dump info in the way you want. - Comprehension and brainstorming: convert say whiteboard scribble to a diagram or text to chart. - Notebook to interactive mindmaps using AI. You can also chat against the mindmap - Export your notebook as content. Be it a blogpost or a newsletter or whatever. - Chat support with references back to your notes across your whole knowledgebase. Look forward to hearing feedback. It's very early and I am a solo dev doing this part-time. https://ift.tt/XH3hjEs May 9, 2024 at 02:18AM
Show HN: An AI logo generator that can also generate SVG logos Hey everyone, I've spent the past 2 weeks building an AI logo generator, which can also generate high-quality SVG logos (bw/silhouette only for now). You can choose a style from a gallery of options and adjust the prompt/keywords however you like. The rest is pretty self-explanatory. https://createlogo.app/ May 9, 2024 at 12:00AM
Show HN: I made a platform to share resumes that passed the screening Hello everyone! I'm James, a college student majoring in CS, and wanted to do a side project! For interns and New grads last year, the job market was rough. I wanted to know how to become those "good candidates". FindResume helps people to share their resume that passed the resume screening so others can pass also! If you share your resume now, you will get a FREE 30-day pass instantly! findresume.xyz Let me know any advice, it will mean a lot to me! James https://www.findresume.xyz May 8, 2024 at 02:35AM
Show HN: Skyrim – Open-source Large Weather Model (LWM) Zoo Hi HN, I'm Efe from Secondlaw AI. We are building physics-informed large AI models. Currently, we are focusing on weather modelling. To benchmark SOTA, we had to build a forecasting infra for all available large weather models and we could not find a solid tooling to do so, so we built Skyrim. Within <5 mins and <5 LOC you can run forecasts on par with global weather models that are run on 100K+ CPU HPCs! We are implementing more models & fine-tuning capabilities. Let us know if anything more we can add, also happy to answer any questions! https://github.com/secondlaw-ai/skyrim May 7, 2024 at 09:33PM
Show HN: Chat with Steve Jobs via his recorded videos I made a product that lets you train chatbots on a series of Youtube videos. You can share the links to the chatbots directly or (soon) embed them on your own site. Presumably for research, lead generation, GTM enablement, etc. but I thought training chatbots on people’s content was also a fun use case. https://ift.tt/pxLAGFt May 7, 2024 at 02:26AM
Show HN: I've built a course platform over the weekend Hey my name is Ivo and I'm a developer and a startup entusiast. My girlfriend was out of the coutry for the weekend and I decided to do something cool like building a startup. I've done a few startups over the years but that's the first I actually released, I would love to hear your feedback on it. https://ift.tt/ANKUsGf May 7, 2024 at 12:38AM
Show HN: Rispose.com – A free tool to embed OpenAI Assistants on any website Hey, OpenAI recently released "assistants" - These have RAG built into the API, which means that you can provide up to 10.000 files to the assistant without the overhead of dealing with vector databases, splitting files into chunks and more. They work surprisingly well, so I've built a free simple tool to embed them on websites. It has no dependencies and simply uses fetch to communicate to my backend which proxies openai. In the future I plan to add more widget embedding options (currently only chat is available). Let me know if you have any specific questions about either the tool or openai assistants in general. https://rispose.com May 3, 2024 at 06:38PM
Show HN: An AI model that busts AI faces Hey HN, I'm an AI enthusiast and I am launching apps that use ML to solve problems that we all have. I realized that there are a lot of deepfake faces on youtube and social media, so I thought it would be useful (and fun!) to have a tool that can bust those AI faces. So I built DeeFace for 2 reasons: 1. Check if the face you're looking at is real or not 2. For fun! It's something that I from half a year ago would look at and aspire to build someday. I think it's soemthing anyone who's just starting out with ML would appreciate. I hope this tool is fun for you to use as it was for me to build. Would love to hear your feedback on this. Albee https://ift.tt/ow5G0Ti May 5, 2024 at 06:53PM
Show HN: Summrize – Free Non-Fiction Book Summaries Hey everyone! I know that a lot of people want to make more time for reading in their lives, but don't always have the time to do so. So I've created Summrize, an online platform for reading FREE non-fiction book summaries. For each book, I've condensed the most important concepts, quotes, actionable insights, frameworks and case studies, and presented them in a beautiful format. You can save the snippets that resonate the most with you, and share them on other platforms too! We know there exist other similar platforms (Blinkist, Shortform), but my goal with Summrize is to make access to the knowledge free, because we believe in making the valuable knowledge that can help people change their lives accessible to everyone! Please check out our website, and if the content is useful to you, please share with friends/family and consider joining our newsletter too for even more insights! Also, support us on Producthunt! https://ift.tt/gd6Jy0E https://ift.tt/cWHIGwl May 5, 2024 at 10:27PM
Show HN: gpudeploy.com – "Airbnb" for GPUs Hi HN, YC w24 company here. We just pivoted from drone delivery to build gpudeploy.com, a website that routes on-demand traffic for GPU instances to idle compute resources. The experience is similar to lambda labs, which we’ve really enjoyed for training our robotics models, but their GPUs are never available for on-demand. We are also trying to make it more no-nonsense (no hidden fees, no H100 behind “contact sales”, etc.). The tech to make this work is actually kind of nifty, we may do an in-depth HN post on that soon. Right now, we have a H100s, a few RTX 4090s and a GTX 1080 Ti online. Feel free to try it out! Also, if you’ve got compute sitting around (a GPU cluster, a crypto mining operation or just a GPU) or if you’re an AI company with idle compute (hopefully not in a Stability AI way) and want to see some ROI, it’s very simple and flexible to hook it up to our site and you’ll maybe get a few researchers using your compute. Nice rest of the week! https://ift.tt/hR7STzr May 5, 2024 at 02:33AM
Show HN: Dillo 3.1.0 released after 9 years As commented before[1], I've been working on the past months to get the Dillo back to life and today I'm happy to release the 3.1.0 version, after almost 9 years since the last one. [1]: https://ift.tt/KayT3Ap During this time: - A new mailing list was created[2] which is beginning to get some messages and patches. It is available in gmane via NNTP at gmane.comp.web.dillo.devel. [2]: https://ift.tt/2sF5Ddp... - A LiberaPay page[3] which received the first donations (thanks!). [3]: https://ift.tt/aY7HhD6 - Some more bugs where fixed and new features where added (details in the release page and/or changelog). Thanks to all the people that contributed with patches and tests. Now let's see if we can make it land in some distros! https://ift.tt/POjJBpw May 5, 2024 at 01:52AM
Show HN: Mininet-YAML – Create complex virtual networks through small YAML files Mininet-YAML is a powerful tool that simplifies the creation of virtual networks through YAML-configured topologies. By defining hosts, routers, and their interfaces in a YAML file, users can deploy complex network topologies directly on their machines within seconds. This tool integrates with Mininet and Open vSwitch to emulate network environments, allowing users to manage virtual nodes with the same granularity as physical hardware. Moreover, Mininet-YAML empowers users with advanced traffic engineering capabilities. They can effortlessly specify maximum transmission rates (goodput) between nodes, triggering automatic adjustments to network link capacities and routing table entries to achieve desired goodput levels. Leveraging a Mixed Integer Linear Programming (MILP) model solved by the CBC Solver, this tool ensures optimal network performance tailored to user specifications. https://ift.tt/D2je8Jx May 4, 2024 at 09:14PM
Show HN: I built a free in-browser Llama 3 chatbot powered by WebGPU I spent the last few days building out a nicer ChatGPT-like interface to use Mistral 7B and Llama 3 fully within a browser (no deps and installs). I’ve used the WebLLM project by MLC AI for a while to interact with LLMs in the browser when handling sensitive data but I found their UI quite lacking for serious use so I built a much better interface around WebLLM. I’ve been using it as a therapist and coach. And it’s wonderful knowing that my personal information never leaves my local computer. Should work on Desktop with Chrome or Edge. Other browsers are adding WebGPU support as well - see the Github for details on how you can get it to work on other browsers. Note: after you send the first message, the model will be downloaded to your browser cache. That can take a while depending on the model and your internet connection. But on subsequent page loads, the model should be loaded from the IndexedDB cache so it should be much faster. The project is open source (Apache 2.0) on Github. If you like it, I’d love contributions, particularly around making the first load faster. Github: https://ift.tt/L58zlPo Demo: https://secretllama.com https://ift.tt/L58zlPo May 4, 2024 at 02:56AM
Show HN: Lightsaber Battle – May the Fourth Be with You Hey folks, join me in a lightsaber battle! I love Star Wars and may 4th is a special day for me, so I made this little thing. You can change the saber color and background. Let me know what you guys think and May the Fourth be With You https://ift.tt/My9ORBg May 4, 2024 at 02:01AM
Show HN: Prompt-Tower – Simplify writing prompts with multiple code blocks Prompt-tower simplifies and speeds-up how prompts with multiple code blocks are written. It's often a pain jumping between files, classes, functions, etc and copying/pasting everything, wrapping and annotating the blocks, and finally sending the prompt off for generation. After seeing filekitty [1], I felt inspired to build my version of the idea... which is a vscode extension that fits better in a developer's context. check it out: https://ift.tt/naNm635... demo gif: https://ift.tt/SCKLfzQ repo: https://ift.tt/dKRkWFs [1] https://ift.tt/HZSN6hO May 3, 2024 at 11:40PM
Show HN: Anonymous chat service with no registration or installation required Cannon is a chat service created to mimic physical conversions. Like in real life, there is no chat history or account setup. If you want to test the service, feel free to message me: https://ift.tt/ZBHGK3o... https://ift.tt/MCRcP1q May 2, 2024 at 11:53PM
Show HN: I made an app that helps you find where to stream movies and TV shows I often found myself searching for that one movie or TV show not currently available in my country. Whether it was on Netflix, Apple TV, HBO, or any other platform, the effort to pinpoint the precise country of streaming availability routinely became a burdensome task. Realizing the need for a streamlined solution, I created one. Now you can effortlessly find your desired content and simplify your entertainment journey beyond borders. https://whereto.stream April 30, 2024 at 10:59PM
Show HN: Attorch – PyTorch's nn module written in Python using OpenAI's Triton attorch is a subset of PyTorch's nn module, written purely in Python using OpenAI's Triton. Its goal is to be an easily hackable, self-contained, and readable collection of neural network modules whilst maintaining or improving upon the efficiency of PyTorch. In other words, it intends to be a forkable project endowed with a simple, intuitive design that can serve as an accessible starting point for those who are seeking to develop custom deep learning operations but are not satisfied with the speed of a pure PyTorch implementation and do not have the technical expertise or resources to write CUDA kernels. There already exist a number of wonderful PyTorch-like frameworks powered by Triton, but most concentrate solely on Transformers and NLP applications, whereas attorch aims to be more inclusive by also presenting a variety of layers pertaining to areas besides NLP such as computer vision. Moreover, attorch is not an inference-only package and fully supports both forward and backward passes, meaning it can be used during training as well as inference, though its performance for the latter is generally not on par with dedicated inference engines. Questions and feedback are welcome in the comments sections. https://ift.tt/tJ6OyN4 April 30, 2024 at 01:07AM
Show HN: Kaytu – Optimizing cloud costs using actual usage data Reduce your cloud costs - SREs/DevOps/Cloud Engineers Hi community! We are Kaytu (“Kay-two,” named after the K2 mountain), and we've developed an open-source tool for engineering, DevOps, and SRE teams to reduce cloud costs. Cloud inflation (“cloud-flation”) is real—AWS EC2 costs are up 23% (4-5x global inflation average [1]), and 30% of the capacity that is paid for is simply wasted ([2]). The best way to improve cloud utilization is by simplifying the process so engineers can spot inefficiencies and suggest changes. We built a simple open-source CLI tool that recommends a cost-optimal workload based on actual usage data from observability tools. Check it out at https://ift.tt/vdRLJYy Currently, we support AWS EC2 On-Demand Servers & EBS Storage using observability data from CloudWatch to determine utilization. You can optimize EC2 Servers based on CPU, Network, Memory, and Storage. We're expanding support to include OS License, GPU metrics, RDS, and Prometheus integration, and we plan to add more AWS services like EKS and OpenSearch, as well as Azure. This is more than just a utility—we want to provide a no-nonsense platform that makes it ridiculously easy for engineers to build cost-effective apps on the cloud by optimizing workload configurations and customizing to scenarios. Open Core: Inspired by Sid Sijbrandij and GitLab, we've open-sourced our CLI and are actively working on the server side. Our tooling will always remain straightforward and support open-source tools for free. We made it as simple as possible to try out - it’s one command, no sign-up needed, no SaaS platform to share your credentials. We would love you to try it out and give us your feedback! If there are bugs, we would greatly appreciate it if you reported them on GitHub. Cheers, The Kaytu Team (Anil, Arta, Mahan, and Saleh) References: [1]Tangoe IT Trends Savings Recommendations and Liftr Insights data Cloud Pricing [2] Flexera State of Cloud Report - Multiple reports spanning 2017-2023 https://ift.tt/vdRLJYy April 29, 2024 at 09:27PM
Show HN: Dotenv, if it is a Unix utility I like the idea of using dotenv files, but I dislike having to use different language-specific libraries to read them. To solve this, I created a small utility that lets you prefix any command with "dotenv" to load the ".env" file. This is how I imagine dotenv would work if it had started as a UNIX utility rather than a Node.js library. https://ift.tt/AoKapgn April 29, 2024 at 01:55AM
Show HN: OpenLIT – Open-Source LLM Observability with OpenTelemetry Hey HN, we're super excited to share something we've been working on: OpenLIT. After an engaging preview that some of you might recall, we are now proudly announcing our first stable release! *What's OpenLIT?* Simply put, OpenLIT is an open-source tool designed to make monitoring your Large Language Model (LLM) applications straightforward. It’s built on OpenTelemetry, aiming to reduce the complexities that come with observing the behavior and usage of your LLM stack. *Beyond Basic Text Generation:* OpenLIT isn’t restricted to just text and chatbot outputs. It now includes automatic monitoring capabilities for GPT-4 Vision, DALL·E, and OpenAI Audio. Essentially, we're prepared to assist you with your multi-modal LLM projects all through a single platform and we're not stopping here; more updates and model support are on their way! *Key Features:* - *Instant Alerts:* Offers immediate insights on cost & token usage, in-depth usage analysis, and latency metrics. - *Comprehensive Coverage:* Supports a range of LLM Providers, Vector DBs, and Frameworks - everything from OpenAI and AnthropicAI to ChromaDB, Pinecone, and LangChain. - *Aligned with Standards:* OpenLIT follows the OpenTelemetry Semantic Conventions for GenAI, ensuring your monitoring efforts meet the community's best practices. *Wide Integration Compatibility:* For those already utilizing observability tools, OpenLIT integrates with various telemetry destinations, including OpenTelemetry Collector, Jaeger, Grafana Cloud, and more, expanding your data’s reach and utility. *Getting Started:* Check our quickstart guide and explore how OpenLIT can enhance your LLM project monitoring: https://ift.tt/SFQETeJ We genuinely believe OpenLIT can change the game in how LLM projects are monitored and managed. Feedback from this community could be invaluable as we continue to improve and expand. So, if you have thoughts, suggestions, or questions, we’re all ears. Let’s push the boundaries of LLM observability together. Check out OpenLIT here: https://ift.tt/SyAajCn Thanks for checking it out! https://ift.tt/SyAajCn April 26, 2024 at 03:15PM
Show HN: Scenestamps – A website for sharing movie scenes with timestamps Hello hackers, I've launched a website specifically for sharing scenes, complete with descriptions and timestamps from various films and TV shows. I'm reaching out to gather your perspectives and recommendations in these domains to improve the site and extend my outreach. Link : https://scenestamps.com You are not required to register/login to browse the site. Scenestamps Features: 1. Search : You can directly search for a scene or a source. 2. Upload Posts : You can register with your google account, login and start posting right away. Unlike other sites in this specific domain, users are allowed to upload posts. There are two types of posts - scene - source Source is a movie,tv show, documentary, etc... One source can have multiple scenes While creating a scene post, source can be selected there. Scene post will have the timestamp fields. There are two types of it: - single - one input field of timestamp in which the scene happens. - from-to - two input fields, from and to within which the scene takes place. 3. Share posts : Share feature is available on both source and scene posts, with which you can share the post to your favorite social media platforms 4. Tagging system : You can add tag to the scene posts. You can also get all the scenes that has that tag name by clicking on it. I think people wanting to create scenes is quite a small audience, but I want to make this the best it can possibly be so please post any problems or suggestions in the replies or at reddit.com/scenestamps.com or message me x.com/gjpx_ if you prefer. April 26, 2024 at 12:10PM
Show HN: Htpy – generate HTML from Python without templates I built a library that to generate HTML from Python. We have been using this library with Django the last couple of months instead of classic templates and find it to be productive. It is easy to debug, works great with static type checkers and it is easy to build reusable components/partials. Give it a try! https://htpy.dev April 28, 2024 at 01:04AM
Show HN: I want my family to listen to more music(less movies) I decided to use the home entertainment system to take over the TV. Limited visual stimulation. Front Row is a collection of live musical performances gathered by music fans of all kinds. https://thefrontrow.app Download for iOS or Apple TV https://ift.tt/RUvhoQT... And fuck it. I'm letting anyone add videos directly to the database! https://ift.tt/v5Mf3p9 April 27, 2024 at 11:02PM
Show HN: Cognita – open-source RAG framework for modular applications Hey HN, exciting news! Our RAG framework, Cognita ( https://ift.tt/6iKL9EH ), born from collaborations with diverse enterprises, is now open-source. Currently, it offers seamless integrations with Qdrant and SingleStore. In recent weeks, numerous engineers have explored Cognita, providing invaluable insights and feedback. We deeply appreciate your input and encourage ongoing dialogue (share your thoughts in the comments – let's keep this ‘open source’). While RAG is undoubtedly powerful, the process of building a functional application with it can feel overwhelming. From selecting the right AI models to organizing data effectively, there's a lot to navigate. While tools like LangChain and LlamaIndex simplify prototyping, an accessible, ready-to-use open-source RAG template with modular support is still missing. That's where Cognita comes in. Key benefits of Cognita: 1. Central repository for parsers, loaders, embedders, and retrievers. 2. User-friendly UI empowers non-technical users to upload documents and engage in Q&A. 3. Fully API-driven for seamless integration with other systems. We invite you to explore Cognita and share your feedback as we refine and expand its capabilities. Interested in contributing? Join the journey at https://ift.tt/Qz67g2N . https://ift.tt/6iKL9EH April 27, 2024 at 10:10PM
Show HN: I made a spaced repetition tool to master coding problems As you solve LeetCode questions, you can mark them as hard, medium, or easy. The tool will then recommend questions you should review based on (1) how hard the question was for you and (2) how much time has passed since you last reviewed it. I'd recommend normally attempting LeetCode problems and just marking them as hard, medium, or easy for you at first so the tool knows which problems to recommend you review! Here's the theory behind spaced repetition and learning if interested: https://ift.tt/RH8hCtz https://www.lanki.xyz/ April 27, 2024 at 01:08AM
Show HN: I made a site for practicing front end debugging with real-world bugs I am excited to introduce my solo project, a platform built with the frontend development community in mind. It's an interactive environment aimed at refining debugging skills through exposure to real-world bugs. This project stems from the need for a hands-on, practical method of learning to debug. The site features a variety of intentional bugs for users to solve, mirroring the types of challenges faced in professional settings. Over the coming weeks, I will be adding many more exercises and new features to enhance your learning experience further. Check out CodeMender at https://ift.tt/Lu3TEay https://ift.tt/Lu3TEay April 26, 2024 at 11:29PM
Show HN: I put PubMed in a vector DB Hi HN, As a researcher, I often found myself struggling with the limitations of keyword-based search when exploring PubMed papers. To address this, I created PubMed Search ( https://ift.tt/VIZKYLw ), a tool that leverages a vector database to enable semantic search across medical research literature. Some key features: * Daily updates to ensure access to the latest articles * Semantic search using latest & greatest embedding models * Some additional useful info about the papers (tldr, journal, publication date, etc.) Hope you find it useful! https://ift.tt/VIZKYLw April 26, 2024 at 01:23AM
Show HN: I made a programmable computer from NAND gates I am proud to present my solo hobby project NAND. This year-long undertaking follows the completed Nand to Tetris course, but ported to the web with its own runtime, user interface, and IDE. Using the "Load example program" selector, you can try out some programs I wrote on NAND's emulated hardware such as 2048, a genetic algorithm, and a manual stack overflow to corrupt the screen. Check out NAND at https://nand.arhan.sh Additionally, I've authored an extensive writeup about the project. Read about it on the GitHub repository's readme. https://ift.tt/cufyWtj April 25, 2024 at 09:38PM
Show HN: Sound AiSleep – create kids audiobooks in their parents voice using AI You can use the promo code: FREEBOOK2024 to test an audiobook for free. We created an app that uses AI voice clones, to clone parents voice. They then choose any book from our kids library to create their audiobook spoken in their voice. Would love to hear any feedback! https://ift.tt/khsWGMC April 24, 2024 at 12:54PM
Show HN: Storing Private Keys in the Browser Securely So the main purpose here is to show _a_ way that session-token theft can be mitigated. Clearly, this isn't NSA proof or something you'd use to secure a BL5 containment facility, but to prevent session-jacking; if feels like it could help a lot, and would be pretty quick and easy to roll out if an IDP wanted to implement it. https://ift.tt/PqGF5Md April 24, 2024 at 12:32AM
Show HN: Metashade – a Pythonic GPU shading/compute EDSL Superficially, it may look similar to Nvidia's Warp or OpenAI's Triton, but instead of transpiling a subset of Python to the target language, it implements dynamic codegen in pure Python. These slides discuss the existing GPU programming solutions and make a case for Metashade's approach: https://ift.tt/wQyT91z... https://ift.tt/7Vk3xsL April 22, 2024 at 04:51AM
Show HN: Auto-optimizing deterministic LLM outputs using knowledge graphs Hi, We are building an open-source framework for loading and structuring LLM context to create accurate and explainable LLM answers using knowledge graphs and vector stores. We built the tool with four main concepts in mind: 1. Loader -> uses dlt in the backend to load and structure the data 2. Cognify step -> creates a graph with summaries, labels and factoids that are interconnected across the documents and stored as a representation in the vector store 3. Optimizer -> Uses DSPy to optimize LLM queries, and we plan to extend it to most of the knobs we can turn, like chunking etc. 4. Search -> allows for searching using search types supported in graph stores (ex. Neo4j) or hybrid, BM25, or other search types available in vector stores. We are quite early with the product but we would love to hear feedback on what we can improve. https://ift.tt/XaUI0nm April 22, 2024 at 11:55PM
Show HN: AppView 1.0.0 is released Instrument, Observe, Secure your deployments AppView is an open source, runtime-agnostic instrumentation utility for any Linux command or application. It helps users to explore, understand, and gain visibility with no code modification. With one instrumentation approach for all runtimes, AppView offers ubiquitous, unified instrumentation of any unmodified Linux executable. With AppView 1.0.0 comes the new threat detection logic that allows users to capture security-related events. Is your application accessing secure files? Is it making connections it shouldn't be? Is it exfiltrating data over DNS or is GOT poisoning in effect? Other features of the 1.0.0 release include the ability to: - Generate metrics on process and application performance. - Generate events, reporting on network, file, logs, console messages and http/s activity. - Capture (decrypted) payload data without the need for keys. - Generate a stack trace, and a core dump when an application crashes. - Generate network flow information. - Create a report on unique file and network activity. - Install AppView in a Kubernetes cluster. - Secure file and network access in an application. - Instrument both static and dynamic executables. - Attach to processes while they are running or start when the process does. - Normalize and forward metrics and events, in real time, to remote systems. - Summarize metrics and detect protocols. We are looking for users and contributors alike. https://appview.org/ April 21, 2024 at 10:52PM
Show HN: What Are You Working On? Hey HN, I'm sure you've seen the monthly "Ask HN: What Are You Working On?" headlines on [Hacker News]( https://ift.tt/W1ywtGR... ). Honestly, it's my favorite topic because it's packed with insights about what other hackers are up to. I wondered what it would be like if instead of just a headline, there was a whole website where hackers could post daily updates, and where we could follow the hackers we're interested in for their latest updates. And so, this web site was born. I hope it gets used frequently so we can all benefit from it together. I look forward to hearing your thoughts. Let me know what you think! https://ift.tt/3mB7r5R April 21, 2024 at 05:13PM
Show HN: I built a small utility that handles multiple browser instances for you I'm a consultant and I normally deal with multiple clients. I need an isolated browser for each to maintain my sanity. I could create separate profiles in Chrome and Firefox but the main issue is when you click on a link outside of the browser (e.g. in your IDE), in which profile should it be opened? I wrote a Python script that redirects URLs to the correct browser instance and set it as my default browser. Over time, the script has grown and become essential to my work. I cleaned it up and open-sourced it. Hope that someone else may find it useful too! https://ift.tt/WiNy0HE April 20, 2024 at 06:33AM
Show HN: Talk to Me Human – my game about social persuasion Hey all, I recently graduated from a good PhD program studying NLP. Unlike any sane person who would go become a professor or make a gazillion dollars in industry, I decided to try bootstrapping my own software business. This is my first product. The inspiration was from my research on computers understanding social norms. When ChatGPT came out, I was amazed how well it could understand social etiquette. I thought it'd be fun to make a game where you have to talk your way out of sticky situations - like you miss your friend's birthday party, or your boss catches you trying to leave work at 2pm. I made a prototype in a couple days, and it was super fun to play with. I thought I'd spend a "couple months" making a game for others to play online. Now, only 10 months and 923.3 hours of work later, it's playable in early access. In the game, you talk out loud (ASR), and the NPCs (LLM + TTS) talk back at you. It is fun to play with a friend! And because it's just talking, non-gamers do great, often better than gamers. I really want to have a free demo, but no time yet to implement. For now, it's purchase only ($4.99). If anyone decides to try it, I'd really love to get more feedback. It was an enormous learning experience, especially targeting the web - so many partially supported web APIs and browser inconsistencies! Still feels like 2008 in some ways. Also happy to answer questions of course. Thanks, and enjoy the weekend! https://ift.tt/Qdf32qE April 20, 2024 at 01:33AM
Show HN: Composable (as in iGoogle, but modern) privacy-friendly new tab I spent quite a lot of time working on this one over the last 1.5 years. It started as a small project for my personal use because I wanted to keep all my self-hosted services visible so I wouldn't forget they existed lol. Using a web page wasn't ideal because of the white flicker every time I opened a new tab, so I decided to make this into a browser extension. From that time on, it became a lot bigger and got some traction (which I'm very happy about). It's made with React, but I tried to squeeze maximum performance (limited by my skills and desire to keep it somewhat readable, though) out of it. UI/UX was a big priority for me in this project, so I also tried to streamline it as much as possible and make Anori a joy to use. If you decide to try it, let me know how good I did! Oh, and it's open source [1] and the process of adding new widgets is documented [2], so you can make your own! [1]: https://ift.tt/BFUcw1K [2]: https://ift.tt/6VoP9rj... https://anori.app/ April 19, 2024 at 02:04PM
Show HN: MonsterWriter – Write a thesis, post, or organize notes Hello HN, in 2017 I started a project that would become MonsterWriter. First envisioned as a semi-structured wiki it became a writing application specialized for scientific content. It is a perfect tool if you write your thesis. While it is focused on technical content, you can still see the knowledge management spirit in it. One or two years ago, my wife joined me in my efforts and redesigned the whole project and we recently released it as MonsterWriter2. To celebrate this milestone we are giving away free lifetime licenses for the Desktop version (till Apr 28). Just use the promo code "gu0ho4q" for a 100% discount. You can find detailed instructions here: https://ift.tt/AzZcs6h You can also find a short introduction video to the app on YouTube: https://www.youtube.com/watch?v=vR8i-EY_UBk We are happy to receive any kind of feedback! April 19, 2024 at 01:12AM
Show HN: Minard – Generate beautiful charts with natural language Hi HN – Excited to share a beta for Minard, a new data visualization toolkit we've been working on that lets you generate publication-quality charts with simple natural language (throw away your matplotlib docs and rejoice!). Upload or import CSVs, Excel, and JSON, give it a spin, and please let us know what you think! (Long format data works best for now) For those curious, the stack is a simple Django app with HTMX/Alpine and all of the charts are specified and rendered as Vega ( https://ift.tt/gf508kq ). Lots of LLM function calling under the hood as well. https://minard.ai April 18, 2024 at 11:27PM
Show HN: Trained Tiny Tales GPT(30M model)from scratch and deployed in $15 For the last few weeks, I have been working on training an LLM from scratch and deploying it in production on Google Cloud Platform. Finally, I trained a 30 million parameter model on 1 billion tokens and deployed it as a web service. You can access the LLM using this site - https://ift.tt/WgQxNv1 The following steps were taken to build Tiny Tales GPT 1. Downloaded and preprocessed 8GB of dataset using multiprocessing library. 2. Tokenized the data using byte pair encoding to create 1 billion tokens sharded in different bin files. 3. Defined a training setup and trained the model on a small version of the LLaMA model architecture with 30 million parameters. 4. The training was done using Distributed Data-Parallel on two A-100 GPUs provided by JarvisLabs.ai (they are most cost-optimized) 5. After the training is done, an inference script is created to predict the tokens from the trained model given the input context vector. 6. Developed REST-based API service using Flask framework to interact with the inference service to the end user. 7. Finally used GCP's virtual machines, instance groups, load balancers, and DNS services to deploy the service on the internet. https://ift.tt/Rm1GCvH April 18, 2024 at 02:25AM
Show HN: Easy Folders – A folders based organization tool for ChatGPT and Claude Download for free: https://ift.tt/Vq8EitN A simple and powerful tool to organize chats in ChatGPT and Claude. ** NEW! Claude support added - Create folders and organize your chats for Claude ** ** NEW! Multi-account support added - Create folders and organize your chats for multiple ChatGPT & Claude accounts, and switch between them seamlessly. ** - Privacy focused, your data is all stored on your local machine - Create folders & sub-folders for your chats - Easy-to-use drag & drop - Colored folders - Automatic folders for Custom GPTs - Sync folders across multiple devices - Full chat history search - Bookmark important chats - Bulk delete chats - Backup & Import data - Dark & light mode support April 18, 2024 at 01:11AM
Show HN: Brewer X, a native macOS client for Homebrew Hi HN! Like many of you, for my entire career I have relied on Homebrew to install all kinds of software on my Mac. That's why today I'm really excited to share a new app that my partner and I are building: Brewer X, a refreshing user interface for Homebrew. Brewer X is graphical interface that lives on top of Homebrew. Leveraging the power of native APIs improves the classic experience and unlocks new features. For example: • bulk actions are performed in parallel • syncing the entire library locally provides incredible search performances and the ability to query descriptions and other previously unaccessible fields • maintenance scripts run automatically for you • last but not least... app icons (or favicons when not available) let you quickly identify what you're looking for The app is written in Swift and uses only AppKit with Nib files for top performance, pixel perfect design, and maximum flexibility. We also designed the app icon and all the others in the UI ourselves. Following the great insights from Sketch[^1] we managed to make them super crispy. We're also very proud to have been featured in the macOS App Icon Book[^2]. The app has only been out for a couple of weeks, but we've already seen an amazing response from the community. We can't tell you all of our future plans yet, but here's a list of things we'd like to see in the app in the near future: • Import/Export • Automatic replacement of apps installed without Homebrew • Notifications about available updates • Finder actions • Spotlight integration I hope you find Brewer X interesting. We're happy to answer any question! [^1]: https://ift.tt/Pe5bGkw... [^2]: https://ift.tt/xZ809H2 https://ift.tt/6DJCucx April 17, 2024 at 09:27PM
Show HN: Device-Bound Session Tokens in JavaScript Google’s recent announcement of a proposed ‘Device Bound Session Credentials’ feature[1] for Chrome reminded me of a project we worked on last year at my company. We focus on fraud prevention at signup and login (preventing multi-accounting and account theft), but some customers were concerned about post-login security and asked us to add a session hijacking prevention feature to our fraud prevention API. In the end, we decided to just implement a solution in Javascript. We call it session-lock, and it can be used today across all browsers[2] and, theoretically, native mobile apps. For a more comprehensive writeup and quick demo, you can visit the link. In short, the library adds a device-bound signature to the session token each time it’s used. At login, it creates a signing key pair on the browser using SubtleCrypto, with the private key set as “unextractable” and stored in IndexedDB (this forms the basis of its device-binding). Also at login, the public key is sent to the server along with the user’s credentials. If the credentials are valid, the server adds the public key to the payload of the JWT it returns to the client. When the client uses the JWT to access a protected resource, session-lock adds a signature to the end of it, along with a timestamp to mitigate replay attack risk. The server then validates the signature using the public key embedded in the JWT. The private key must be removed from IndexedDB upon logout. While Chrome’s DBSC would be a nice solution when it gets around to being deployed in Chrome and Edge, I think session-lock would help a lot today across all browsers in countering common attacks like malicious browser extensions that rip LocalStorage and cookies. Also, implementing the general flow in native mobile apps[3] would have the same key advantages as DBSC - compiled code already on the device and utilization of hardware TPMs. Aside from JS tampering and extracting “unextractable” CryptoKeys from IndexedDB, please let me know if you can think of any other potential attacks. Happy to answer any questions. [1] https://ift.tt/gdBb1LQ... [2] Other than Firefox private browsing mode due to its blocking of IndexedDB [3] Using CryptoKit / KeyStore for ECDSA https://ift.tt/NuU3TcI April 16, 2024 at 08:18PM
Show HN: YouTube Shorts Redirector I am neurodivergent and noticed the Youtube Shorts format was hacking my brain to engage longer than I wanted. I wrote this quick extension to gain my time back. If you have suggestions for improvement, I'm all ears. Thank you :) https://ift.tt/Jhsyuk5 April 16, 2024 at 06:29AM
Show HN: Building a GPS receiver Hi everyone! Shortly after publishing my iOS 4 jailbreak last October[1], I got to work on my next hobby project: a from-scratch homebrew GPS receiver, which can solve the user’s location solely from billions of radio antenna samples. I took a commodity SDR (alongside the Python standard library and numpy) and built a signal processing pipeline that can detect and track GPS satellites over many minutes, drop and pick up satellites as they come in and out of view, and precisely determine the user’s position and clock inaccuracy. All told, gypsum can go from a cold start to a fix on the user’s position, and the precise time, in less than a minute of listening to the antenna. I went on a journey of learning how to detect and track satellite signals that are literally too quiet to hear, and I hope that some of the magic comes through in the posts! After implementing this myself and walking the long road of getting it working, I’m left completely stunned by the brilliance of GPS, across so many axes. I hope you enjoy the read! On a more personal note, I’ll be starting a new job next week which isn’t as amenable to publishing side projects, and therefore this will be my last publicly-published project for some time. I’ve had great experiences making and sharing projects on here, and I’m really grateful for the positive feedback that’s been shared! [1]: https://ift.tt/gSVksFB https://ift.tt/7sM6EKR April 15, 2024 at 08:12PM
Show HN: Docker-boot – Run a system from RAM without LiveCD How often do you screw up the system so much you have to reformat the disk (without losing data) to fix it? Well, sometimes I do, and sometimes I can't be bothered to burn a live ISO onto a USB stick. There's initramfs, but it's hardly a pleasant environment, with network configuration and all. My go-to solution has typically been to create a chroot with busybox and a few utilities in /tmp, chroot into it, and then kill services that use the solid drive so that I can unmount it. That's an error-prone process, and sometimes systemd itself uses disk, so you can't unmount the drive despite killing all the userland but PID 1. This script improves the UX. It uses a Docker image as the chroot base, which is much easier to tailor to your needs, and automagically commits all the atrocities, such as tearing down all the userland processes, including PID 1, and re-spawning the host system from the container filesystem. It also drives libostree and Nix users mad, because it can be used to try out a new DE or even a whole OS without polluting the host filesystem or spawning a virtual machine. The video in the README shows me trying out KDE + SDDM from a host running GNOME + GDM3. https://ift.tt/EfLr1J2 April 14, 2024 at 11:08PM
Show HN: GPU price-per-hour tracker for A100/H100s Out of curiosity, I put together a simple website which tracks the prices for a few variations of A100/H100 GPUs by hour broken out between spot/ondemand, form factor and provider. Specifically I was tailoring the tool towards the smaller, emerging providers like runpod, gpulist.ai, lambda labs etc. Anyone have any ideas to expand/refine it? https://ift.tt/QxguWLd April 14, 2024 at 12:38AM
Show HN: Using Google Sheets as the back end/APIs of your app Hello everyone! At a company I worked for, we needed to develop an MVP (basically a web page) and apply certain business logic to a Google Drive spreadsheet that was frequently updated by the Sales team. In this case, we had two options: Develop a backend to replace the current spreadsheet and have the sales team use it as a new "backoffice" - This would take a very long time, and if the hypothesis we were testing was wrong, it would be time wasted. Create the web page and use Google's SDK to extract data from the spreadsheet. We chose to go with the second option because it was quicker. Indeed, it was much faster than creating a new backoffice. But not as quick as we imagined. Integrating with Google's SDK requires some effort, especially to handle the OAuth logic, configure it in the console, and understand the documentation (which is quite shallow, by the way). Anyway! We did the project and I realized that maybe other devs might have encountered similar issues. Therefore, I developed a tool that transforms Google spreadsheets into "realtime APIs" with PATCH, GET, POST, and DELETE methods. Since it's a product for devs, I think it would be cool to hear your opinions. It's still quite primitive, but the basic features already work. https://zerosheets.com https://ift.tt/5DWm6ZJ April 12, 2024 at 09:59PM
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