Friday, May 31, 2024
Show HN: LiquidUI – Library for creating shaky UI in React https://ift.tt/MearEoO
Show HN: LiquidUI – Library for creating shaky UI in React I created OSS for the first time. LiquidUI is a library aimed at making it easy to create a UI that shakes with Raect. The UI provided by this library can have its animations customized by changing the component properties. ・GitHub repository: https://ift.tt/6oJ2Hd8 https://ift.tt/6oJ2Hd8 May 31, 2024 at 10:30PM
Show HN: Postgres-SQLite sync engine source code released under FSL https://ift.tt/wnlyarv
Show HN: Postgres-SQLite sync engine source code released under FSL https://ift.tt/SaleT2E May 31, 2024 at 06:01PM
Thursday, May 30, 2024
Wednesday, May 29, 2024
Show HN: ChatGPT Personal Secretary PoC https://ift.tt/Dyz06AM
Show HN: ChatGPT Personal Secretary PoC A proof of concept using LangGraph and ChatGPT to create a personal secretary that can manage your calendar and address book. Fun to build, and works pretty well, just not sure who would use it or how scaleable it would be. https://ift.tt/veFxQ15 May 29, 2024 at 11:00PM
Tuesday, May 28, 2024
Monday, May 27, 2024
Show HN: Meal planning – without the mental load https://ift.tt/h03KZbn
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 27, 2024 at 11:04PM
Sunday, May 26, 2024
Show HN: I generated API documentation for all Java packages https://ift.tt/WJ8395t
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 04:35PM
Saturday, May 25, 2024
Friday, May 24, 2024
Show HN: Spot – Simple, cross-platform, reactive desktop GUI toolkit for Go https://ift.tt/NKfioy6
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/VRNAl3Q [2] https://ift.tt/2qeBloT https://ift.tt/iZfbMKa May 24, 2024 at 11:19PM
Thursday, May 23, 2024
Show HN: We open sourced our entire text-to-SQL product https://ift.tt/UDdAE28
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/nx3wMLJ : 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/bVxgn2K May 23, 2024 at 07:50PM
Wednesday, May 22, 2024
Show HN: KraftCloud – The "Never Pay for Idle" Cloud Platform https://ift.tt/vZxtQHa
Show HN: KraftCloud – The "Never Pay for Idle" Cloud Platform Hi everyone, it’s Alex, Simon, Felipe and the team from Unikraft.io We have built kraft.cloud, a millisecond cloud platform, where apps and services cold start, scale to zero and autoscale in milliseconds, ensuring you never pay for idle, can efficiently cope with traffic peaks, and don’t have to deal with complex cold start issues. As of today we are now in open early access! The platform (and we) come from research in the area of lightweight virtualization — trying to ask the question of how efficient cloud platforms could (or should) be while still retaining strong, hardware-level isolation. KraftCloud is the result of this research followed by years of building the Unikraft open source project (www.unikraft.org). KraftCloud is based on unikernels, extremely specialized virtual machines, built on top of the Linux-API compatible Unikraft project. If you’ve heard of unikernels in the past, you’ve likely come across properties like millisecond cold start, small memory consumption, and small TCB, to name a few. You may have also heard of downsides like difficulty using them, debugging them, monitoring them or deploying them in the cloud — we’ve been hard at work tackling these issues. KraftCloud leverages Unikraft unikernels, but also comes with a custom-built controller that can be reactive in millisecond scales and can scale to thousands of instances on a single server. We also have integrations with Dockerfiles, Terraform and Kubernetes, and the ability to deploy within hyperscaler infra. The end result is a platform where - Cold starts take milliseconds (e.g., NGINX boots in 15ms) - Scale to Zero (and scale back up) also takes milliseconds - Autoscale takes milliseconds so you can transparently cope with fast peaks - We can put 1000s of instances on a single server, reducing cost and carbon footprint We’re in open early access and are actively handing (free) access tokens via the sign up form here: https://ift.tt/e2gd1Kc We would really appreciate as much feedback as humanly possible: what you like, what you don’t like, what isn’t clear, what we’re missing, what’s broken, etc (you can find more information in our FAQs: https://unikraft.io/faq , or this blog post: https://ift.tt/eopJahm Thanks so much for reading all the way to the end and looking forward to your comments! https://kraft.cloud/ May 22, 2024 at 06:44PM
Tuesday, May 21, 2024
Show HN: An online billboard I built in 2 weeks https://ift.tt/61zS3Cq
Show HN: An online billboard I built in 2 weeks Never built something this quick from the ground up! https://ift.tt/YLmay4f May 21, 2024 at 11:49PM
Monday, May 20, 2024
Sunday, May 19, 2024
Saturday, May 18, 2024
Show HN: Peanut Butter Spinner https://ift.tt/oFxVBzn
Show HN: Peanut Butter Spinner https://ift.tt/glT0FYN May 18, 2024 at 10:43PM
Friday, May 17, 2024
Show HN: Drivr – VR with real vehicles [video] https://ift.tt/zdhFsXo
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 16, 2024 at 11:19PM
Thursday, May 16, 2024
Show HN: I made an AI-based domain name generator with availability check https://ift.tt/SBz5fk2
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/NYZ4KVX May 16, 2024 at 08:32PM
Wednesday, May 15, 2024
Show HN: Smart website search powered by open models https://ift.tt/wVB2U7z
Show HN: Smart website search powered by open models https://ift.tt/ynOc4Um May 15, 2024 at 11:03PM
Tuesday, May 14, 2024
Show HN: I made a Sudoku game you can play using Vim https://ift.tt/oBXS7Py
Show HN: I made a Sudoku game you can play using Vim Source: https://ift.tt/8ew9HIT https://vimsudoku.com May 14, 2024 at 11:37PM
Monday, May 13, 2024
Show HN: I built a simple task capture inbox app https://ift.tt/dPpivjQ
Show HN: I built a simple task capture inbox app I've always been frustrated with the complexity of todo mobile apps. I use Todoist and Notion to manage my work, for instance, but every time I'm out and about and think of a task I need to capture, the mobile apps feel too complex. Or I might think of a feature to add to a product, but don't want to deal with Linear's mobile web view. So, I built Defer: a simple iOS "capture" app that syncs to your menu bar on your Mac. No signup needed, it all "just works" with your Apple ID. Intentionally simple and lightweight. https://deferapp.com/ May 13, 2024 at 10:38PM
Sunday, May 12, 2024
Show HN: I created an app for you to be a more unpredictable romantic partner https://ift.tt/FPwUKnJ
Show HN: I created an app for you to be a more unpredictable romantic partner Hi All! Love Fuel aims to make you a romantic partner that is full of surprises. A partner that is unpredictable, in a fun and exciting way. The app does this, by giving you +450 surprise-ideas and by being a tool to plan actions. As a happily married man, I didn't understand why there was no apps for already happy couples. Love Fuel focuses on excitement; not therapy; not emotional topics; not reconnecting. One key feature is the reminders. As a technical solo-entrepreneur and married man, I understand we all get distracted sometimes, but that shouldn’t cause problems. Love Fuel has a hidden reminder system to nudge you to surprise your partner and shift your focus to what matters. Please also feel free to check out PAS 1.0, our custom Personality Assessment AI-System. Its goal is simple, analyses you and your partner, and then provide personalized suggestions based on personality psychology. Together with a small group of psychologists here in Scandinavia we have used 2 years developing this new approach to Rec-Psych Systems. Many more features will be coming soon! The app should be out in the US + EU on Apple Appstore now, and Google Play tomorrow. I would love to get some feedback and any advice on my Love Fuel journey! https://ift.tt/JGhTvpA May 12, 2024 at 11:14PM
Show HN: Git Searcher, search commits for an added or removed string https://ift.tt/fQtsJcT
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/ZPV0lv7 May 12, 2024 at 09:50PM
Saturday, May 11, 2024
Friday, May 10, 2024
Thursday, May 9, 2024
Wednesday, May 8, 2024
Tuesday, May 7, 2024
Show HN: Skyrim – Open-source Large Weather Model (LWM) Zoo https://ift.tt/2vIfmsd
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 08:03PM
Monday, May 6, 2024
Show HN: I've built a course platform over the weekend https://ift.tt/rZFaKDA
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/fFrp17W May 6, 2024 at 11:08PM
Sunday, May 5, 2024
Show HN: An AI model that busts AI faces https://ift.tt/WA9IxaM
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/023lphi May 5, 2024 at 05:23PM
Saturday, May 4, 2024
Friday, May 3, 2024
Thursday, May 2, 2024
Show HN: AI-Powered Summaries for LinkedIn Posts https://ift.tt/UaYWfQC
Show HN: AI-Powered Summaries for LinkedIn Posts https://www.linkedin-tldr.xyz/ May 2, 2024 at 11:15PM
Wednesday, May 1, 2024
Show HN: I made an online financial modeling platform for stocks https://ift.tt/W1JLkjC
Show HN: I made an online financial modeling platform for stocks https://ift.tt/AdN0Mea May 1, 2024 at 11:41PM
Show HN: Bathroom App – Find bathrooms near you https://ift.tt/zhAilVN
Show HN: Bathroom App – Find bathrooms near you Hey HN! We created Bathroom App - a free webapp to find bathrooms. Currently live in San Francisco. I've lived in SF, NYC and Vancouver and while all of these cities are very different, one thing that's shared is that it's a struggle to find bathrooms. I've had close calls where I've ran to 2-3 different places asking to use their bathroom before finally finding one. It's stressful and COVID has made it even harder. A "toilet finder" is not a new idea but the existing apps are disappointing. I've tried them all and they're either littered with bad data or don't have important information like access details (e.g. codes), cleanliness ratings, amenities(tampons, baby changing table etc.) and bathroom type (gender neutral, private or shared etc.). The challenge is for this to be helpful, the data needs to be there and it needs to be reliable. Our playbook is to launch in a major city > collect seed data ourselves > allow user input > manually verify new bathroom submissions or edits. For example, in San Francisco, we added publicly available data. Then, we added chains that have free bathrooms like Target, Safeway etc. And finally, we identified bathroom deserts, walked around those areas and mapped free bathrooms (we did that for 100+ bathrooms...it took a while). The result is a map that's valuable to people on day 1 - and we've already had locals contributing to it since we've launched. I've found that people who are particular about cleanliness, travel a ton or have IBS appreciate this product the most. But for most people, it's the kind of product you may not need daily, but when you DO need it, you'll be thankful for its existence :) https://ift.tt/UFDvaYe May 1, 2024 at 11:49PM
Subscribe to:
Posts (Atom)