Show HN: Ezno, a TypeScript checker written in Rust, is now open source https://ift.tt/LOKICaz

Show HN: Ezno, a TypeScript checker written in Rust, is now open source https://ift.tt/qf1IHsZ June 8, 2023 at 01:08AM

Show HN: we open sourced an IDE for ML data https://ift.tt/tJmFpbA

Show HN: we open sourced an IDE for ML data Hi HN! I’m Farah, co-founder of Dioptra.ai. We just open sourced katiML ( https://ift.tt/MXGsyik ) this week and wanted to get your take. katiML is a vector+data lake to debug, curate and version AI data. With katiML, teams avoid the “garbage in, garbage out” effect by taking control over the quality of their data. They quickly and effectively curate high quality data for training, fine-tuning, and fixing hallucinations and edge cases. Features include: - Data Curation: interactive embedding visualization and similarity search, mislabeling and hallucination scores as well as SOTA Active Learning miners. - GenAI 4 explainability: uncover drift and bias in your data with multi-modal foundational models that describe in human language what’s in your data. - ML Data Lake: zero copy, highly efficient ML data lake to store and query any ML data (vectors, metadata etc). - Data Versioning: to track changes in datasets, prompts, and model performance; and pinpoint the causes behind those changes. Check out our github repo( https://ift.tt/MXGsyik ), documentation( https://ift.tt/CleNhcx ) and new slack community channel. Here is a video to show you how we use GenAi 4 explainability( https://ift.tt/TcUpwXZ ). We'd love to hear about your experiences with iterating on your data to improve models, the challenges you faced, and how katiML could prove useful to your efforts. Let us know what you think we can do better or differently. Looking forward to your comments! https://ift.tt/TcUpwXZ June 7, 2023 at 11:41PM

Show HN: Simple tool for mobile App Store links https://ift.tt/GPTcbgM

Show HN: Simple tool for mobile App Store links https://installit.app June 7, 2023 at 11:35PM

Show HN: Imuengine.io (NYC S23): Easily Process IMU Data in the Cloud https://ift.tt/Nwf8H43

Show HN: Imuengine.io (NYC S23): Easily Process IMU Data in the Cloud Hello HN! I'm Hamid, one of the co-founders of imuengine.io, a Non-YC startup (NYC ;). We make it easy to process IMU data into accurate motion outputs like slope, tilt/inclination angle, or 3D yaw, pitch, roll. If IMU means something to you, go to https://ift.tt/Nm5orUA and try processing a sample dataset. Below is a bit more detail on the problem and our solution. We’d love to hear about projects using IMU sensors and what new things you could do with cloud-based motion processing! Why we Launched imuengine.io Adding motion sensing to projects can take months and is filled with gotchas. Perhaps you've experienced it or seen all the unanswered questions on SO about imus, gyros, ahrs, Madgwick, Kalman filters... We want to change that. We manage the sensor fusion software and make it easily usable. Any application which logs accel, gyro, and/or mag data and has internet can use us. Simply upload data, run the sensor-fusion engines, download results and move on. And later do the same programmatically via API calls. Prior to this you had two options: (A) Buying a specialized high-tech sensor for your application (B) Buying a general purpose sensing imu chip or package and customizing a sensor fusion lib to use it With (A) the cost can be prohibitive. You also pay with time to understand the sensor firmware and how to configure it. And keeping the firmware up to date is painful and rarely done. Case in point: our engineering services company bought $25k of motion/nav sensors in 2017 and 2020. They now run firmware that are 6 and 3 years old, respectively. Option (B) has a much cheaper BOM and you can leverage a paid or open-source software library for sensor fusion. Initially a chunk of time will go into sensor calibration and possibly packaging. If your application has an engine, then add another 2 months to wrestle with vibration. But a larger time investment will go into the sensor fusion lib and tuning it to the application. Without on-going maintenance, the software can suffer the same fate as Option (A) firmware and risks becoming a liability. Banking on the fact that most things (will) have internet connectivity, we're introducing a third option. It is a cloud computing model and will work with data from any of the awesome IMU sensors out there. It could be an Invensense or Bosch breakout from Sparkfun/Adafruit or a fully packaged and calibrated Analog Devices or Xsens sensor from Digi-Key. Better yet, prove things with the former at your desk and transition to the latter for field tests. We enable that and want to be the go-to cloud computing engine for motion sensors. Our goal is for engineers to work confidently with IMU sensors and deliver results faster. Whereas before sensor performance was stagnant (or downhill), with imuengine.io you can come back from the weekend and the accuracy will have improved and additional features added. Here’s the direct link to try it out: imuengine.io/engine/ June 7, 2023 at 11:01PM

Show HN: Abide – Prevent employees from leaking API keys/NDA data to AI tools https://ift.tt/qZiw5Ir

Show HN: Abide – Prevent employees from leaking API keys/NDA data to AI tools Hi HN, We’re the founders of Abide — a tool to prevent employees from leaking sensitive data to AI models. Over the past month we’ve spoken to lots of friends at tech companies, law firms, creative agencies, and more. There was a consistent theme: companies aren’t sure how AI tools affect their data privacy and security processes. There are concerns that when employees use LLMs to write code or send emails, there's a security/compliance risk (e.g., accidentally sharing an API key in a prompt) or violation of privacy agreements (e.g., using AI to draft a memo about non-public client work). The companies we spoke with have done one of two things: (a) outright banned use of LLMs until they figure out a plan or (b) sent a memo to employees telling them to be cautious. We want everyone to have the 10x productivity gain of AI, but compliance is important for a business to do right by its customers, its regulators, and keep its name out of the news. For now, we’ve built a straightforward product that does two things: (a) an app for compliance teams to upload words that cannot be sent to AI models and (b) a tool that monitors AI usage on employee laptops to enforce those policies. We’re in beta with a couple of customers, but we’d love for you to checkout the demo on the website! If you’re interested, join the sign up list and we’ll set up an account for you today to poke around. Welcome to any questions, feedback, ideas, etc.! Thanks! Jitesh & Vaibhav https://ift.tt/LGCMbFh June 6, 2023 at 11:18PM

Show HN: I made a ChatGPT powered Chrome extension https://ift.tt/jIGrumc

Show HN: I made a ChatGPT powered Chrome extension https://dashai.xyz June 6, 2023 at 10:51AM

Show HN: Open-source web highlighter for notion and hamsterbase https://ift.tt/YJgZ1Ui

Show HN: Open-source web highlighter for notion and hamsterbase https://ift.tt/jgF9C5Z June 6, 2023 at 05:36PM

Show HN: No-code in the front, Python in the back data apps – Streamsync https://ift.tt/WBcp96E

Show HN: No-code in the front, Python in the back data apps – Streamsync https://ift.tt/YayFu9X June 5, 2023 at 07:33PM

Show HN: Graph Visualization of Financial Correlations https://ift.tt/YLMFa2h

Show HN: Graph Visualization of Financial Correlations An attempt to show which financial products are highly correlated, negatively correlated, or non-correlated in an easily understood visual way. Implemented using D3 force-layout, based on daily financial data generated by Google Sheet GOOGLEFINANCE function. https://ift.tt/bEhteNm June 6, 2023 at 11:50AM

Show HN: Dockerless, Elixir Web Application Using Podman and Plug https://ift.tt/Ws5CjMa

Show HN: Dockerless, Elixir Web Application Using Podman and Plug https://ift.tt/YZPNvko June 6, 2023 at 11:36AM

Show HN: LLMO – An LLM pair programmer in your terminal https://ift.tt/uP6zdoL

Show HN: LLMO – An LLM pair programmer in your terminal Hello HN! LLMO (Elmo) is an AI pair programming tool I created that's become an indispensable part of my workflow. https://ift.tt/ky1IlOR LLMO is designed to meet you where you are – your terminal. It provides real-time, interactive programming assistance. With its "staging area" feature, you can keep files in the context window and update the AI about your ongoing coding tasks without the hassle of copying and pasting every time you make changes to your code. Key features include: - Interactive Chat: Get real-time programming assistance directly in your terminal. - Staging Area: No need to copy and paste updates. Simply add your files to the AI's context. - Model Customization: Choose the OpenAI model that fits your needs. - Personality: By default, Elmo loves to make bodybuilding references. You can turn this off through a CLI flag or environment variable The recommended way to install LLMO is via `pipx install llmo` https://ift.tt/Wp0Juc5 As a sidenote, LLMO uses Textual which runs the terminal in application mode, meaning that you can't simply copy content as you would normally. In iterm2, you can hold down the `option` key to select text. You'll need to refer to the documentation for your own terminal for more information. I hope you find LLMO as useful as I have! June 6, 2023 at 01:37AM

Show HN: Roboduck, a GPT-powered Python debugger https://ift.tt/beknPAy

Show HN: Roboduck, a GPT-powered Python debugger I made a python library that gives GPT4/chatGPT access to both your source code and current program state. If it suits your workflow better, you can also turn all your error messages into (optional) conversations: https://ift.tt/2Mp73Px https://ift.tt/PMFgtse June 5, 2023 at 09:03PM

Show HN: An RSS reader that is curated for you https://ift.tt/75Q2bUF

Show HN: An RSS reader that is curated for you https://ift.tt/f1iMmYQ June 5, 2023 at 08:28PM

Show HN: Made a HN-themed Framer blog template for HN community https://ift.tt/pSUg7rs

Show HN: Made a HN-themed Framer blog template for HN community https://ift.tt/8vr30il June 5, 2023 at 07:41PM

Show HN: SQLPage – Build Dynamic Websites with Just SQL Queries https://ift.tt/C50wJ7G

Show HN: SQLPage – Build Dynamic Websites with Just SQL Queries Hey Hacker News! I wanted to share the open source project I have been working on during the last year: SQLPage, a tool to build small web applications entirely in SQL. Building web applications with just SQL isn't as crazy as it seems. Most simple applications can be expressed declaratively as just data queries that fill pre-defined web components. I'd love to hear your feedback and thoughts on it. Would you potentially use it? How can it be improved? Website: https://sql.ophir.dev/ Github: https://ift.tt/svPyFV9 Example app: https://ift.tt/Em4FY6u https://sql.ophir.dev/ June 5, 2023 at 03:50PM

Show HN: Codespelunker a command line search tool with TUI and HTTP modes https://ift.tt/60ubTg9

Show HN: Codespelunker a command line search tool with TUI and HTTP modes https://ift.tt/yqu1FfL June 5, 2023 at 11:52AM

Show HN: FemtoGPT – Pure Rust implementation of a GPT language model https://ift.tt/AiFqnzO

Show HN: FemtoGPT – Pure Rust implementation of a GPT language model https://ift.tt/UIQm37Z June 5, 2023 at 05:28AM

Show HN: PuppiesAI https://ift.tt/dlwWN0e

Show HN: PuppiesAI https://ift.tt/yrbRhqn June 4, 2023 at 07:44PM

Show HN: Swissfolio, a free and open source personal template https://ift.tt/QnvVO7P

Show HN: Swissfolio, a free and open source personal template Introducing ⏤ Swissfolio A free and open source personal landing page template with Swiss Design in mind and built with @astrodotbuild & @tailwindcss . Includes: Hero Intro Project Testimonials Featured work Animations with AOS Fancy color palette GitHub ⏤ https://ift.tt/sWhTR9n Live ⏤ https://ift.tt/ZLMyqGa June 4, 2023 at 01:51PM

Show HN: Google Code Jam Archive https://ift.tt/KrCS6wW

Show HN: Google Code Jam Archive Hi HN, As many of you already know, Google has discontinued their coding competitions and is shutting down the competitions website. Before it's gone forever, I've scraped everything I could from their website and set up my own archive. (Disclaimer: I'm not affiliated with Google besides participating in these contests years ago) While the initial version was ready back in March, today I'm rolling out big and hopefully the final update, so this might be a good time to share it with the HN community. Everything is static HTML and SQLite archives (with a very minimal backend to serve files directly from SQLite), so you can easily grab your own copy. May these 3.5 million source files be a nice training dataset for some fancy future AI! Some useless stats: Tabs or spaces? 28% tabs vs 72% spaces for the whole dataset, but quite unexpectedly, 66% tabs vs 34% spaces if we consider only the final rounds. Most used languages: 63% C/C++, 20% Python, 12% Java, 2% C#, with others less than 1% each. For the final rounds it's 83% C/C++, 13% Java, 2% Python. https://ift.tt/ANZYu2D June 3, 2023 at 02:03PM