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Showing posts from January 15, 2023

Show HN: Smoosh – A Blazing Fast, Bit-Oriented Serializer https://ift.tt/ekwrIzd

Show HN: Smoosh – A Blazing Fast, Bit-Oriented Serializer Hi all! So a few weeks ago I decided to write a low latency serializer. That meant being very careful about runtime costs and the size of the resulting byte array (packet fragmentation limits). I'm pretty happy with the result, it's based off the excellent Flat library on Hackage, and the benchmarks look pretty good. Looking forward to hearing your feedback! https://ift.tt/WxcRG80 January 21, 2023 at 06:47PM

Show HN: Copilot plugin for any shell program https://ift.tt/ie6Nm4K

Show HN: Copilot plugin for any shell program Hi HN, I thought some of you might find this useful/fun. cpwrap runs whatever command you pass it, sending the transcript to copilot and giving you autocomplete suggestions along the way. It's like how rlwrap gives you readline input editing- cpwrap gives you copilot input editing. In other words, copilot for ed: https://twitter.com/markdotdev/status/1616273277533446145 Or sh, python, any non-curses interactive shell program. And it's a single public domain c file, though you need node and the copilot extension files to run the copilot agent. (And a copilot subscription.) https://ift.tt/h7CvR1f January 21, 2023 at 12:22AM

Show HN: Dopt – State machines and SDKs/APIs for your user flows https://ift.tt/rA49vFS

Show HN: Dopt – State machines and SDKs/APIs for your user flows Hi everyone, Dopt lets you visually model flows (which are state machines) to power your product’s onboarding and education experiences. We offer a React SDK that lets you create instances of those flows for any user of your product and exposes methods for transitioning the state of the user—effectively moving them through the flow. Dopt then acts as a persistence layer for the users' flow state. Dopt lets you send in data about your users (identify calls/properties) and lets non-devs define rules based on that data for which users should enter the flows. Non-devs can also update content and other custom properties that can be referenced via the SDK. For example, with Dopt’s SDK you can build: - a multi-step, interactive product walkthrough that helps users learn how to use a product by using it https://ift.tt/WpM59KY - a getting started checklist that helps a team get setup and activated https://ift.tt/ZmX6eR3 You ca

Show HN: Timeretain – Track, visualize, and export your hours https://ift.tt/UuqBCct

Show HN: Timeretain – Track, visualize, and export your hours Hi HN, I made this because I needed to track how much I work and on what. Timeretain allows you to track time using a fast, private feed of time cards. It displays your stats next to it, and you can filter to zoom in on a description or tag. You can always export what's in view. It's different from other time trackers because it's powerful and minimalist. Here's how I use it. I need to hold myself accountable. I want to know how much I've worked in a week, and Timeretain immediately shows that — no need to create extensive 'reports'. Next, a log of what I did is useful for standup. I can get that from my feed, which loads quickly. Finally, I have to track time for specific topics. With Timeretain, I can add tags on the fly — it doesn't require me to create and manage 'projects'. I would love to hear your feedback. There's an instant demo on the landing page; you don't have to s

Show HN: Music Audio Search Engine Using OpenAI's Embeddings on GPT Descriptions https://ift.tt/MZHkNnz

Show HN: Music Audio Search Engine Using OpenAI's Embeddings on GPT Descriptions I am excited to announce a new tool for music producers and audio enthusiasts - a music audio search engine. With just a simple description of the groove you're looking for, our semantic search engine will output the most similar audio in seconds. I used the Freesound.org API to upload over 3,000 grooves to MongoDB, and combined all the relevant data such as tags, title, description, BPM, etc. into OpenAI's Text-Davinci to generate a unique description of each sound. I then embedded these descriptions using the Ada Embeddings Model and inserted them into Pinecone DB vector database, making it easier to find the perfect sound for your next project. This search engine is designed to save you time and make your music production process more efficient. Give it a try and see the difference it makes in your workflow. I would also appreciate any feedback on how I can improve the website and make it ev

Show HN: A version control system based on rsync https://ift.tt/oyF7TRI

Show HN: A version control system based on rsync Hi everyone! I'm trying to create a version control system that solves some of the problems that Git and other version control software has when working in a team. Let me know if you have any feedback! https://ift.tt/WLphPo6 January 19, 2023 at 06:07PM

Show HN: Codex – Find and Replace for Code https://ift.tt/lP6y0sc

Show HN: Codex – Find and Replace for Code Most code editors' find & replace features are still very close to the original design intended for text documents, so they become unwieldy when you need to match across newlines and indentation for example, or when a parse of the code is necessary to capture a particular expression. Codex ( https://ift.tt/XocxaIW ) is an attempt to rethink what find & replace should look like in a modern code editor. It defines a simple but powerful syntax for describing code modifications, combining plain text, regular expressions and Tree-sitter queries, along with sensible handling of newlines and indentation*. It can be used just like regular plain text find & replace, but allows freely mixing in regexes and Tree-sitter queries as more flexibility is needed. It introduces "line quantifiers" for matching a bunch of lines at the same nesting level, so basic structural changes can be achieved without even using a query (see the Java

Show HN: A tool to de-identify using Stable Diffusion https://ift.tt/VPIsuio

Show HN: A tool to de-identify using Stable Diffusion Hey HN! Really excited to share this new image de-identifier. Kind of like a game of image telephone, you can upload an image and our app will convert the image to a caption, then will generate an image using stable diffusion using the parameters you set for the model yourself. We had so much fun making this and seeing the varying levels of scary generated images. https://ift.tt/KYXB81u January 19, 2023 at 02:49AM

Show HN: Codeium: Free Copilot Alternative for Vim / Neovim https://ift.tt/rHDtP1f

Show HN: Codeium: Free Copilot Alternative for Vim / Neovim I'm Varun from the Codeium team. After support for VSCode, Jetbrains, Jupyter, and Colab, we are super excited to bring free AI-powered code autocomplete to Vim and Neovim. And in the spirit of Show HN, we have a playground version for anyone to try the tech in the browser without any installation ( https://ift.tt/CU4t0Ql )! We also made the vim client open source and are open to contributions. https://ift.tt/yftWaub January 19, 2023 at 02:43AM

Show HN: Columnar store for fast, lightweight logging https://ift.tt/Faq872X

Show HN: Columnar store for fast, lightweight logging Founder here, Parseable is a lightweight log ingestion and query engine written in Rust. Parseable can ingest data from existing logging agents (FluentBit, LogStash, Vector, syslog-ng and more) using HTTP + JSON output. Ingested logs are stored as semi-indexed Parquet files (on disk or S3). You can query the data with builtin query engine using SQL or use a query engines of choice like Spark, Presto, Trino and so on. We also developed a Grafana data source plugin that lets you visualise log data via Grafana. Sample dashboard link in readme. As log data grew, our industry has responded with SaaS and fully managed offerings, but if you're looking for freedom, interoperability and full control over your data - there are no great options. With Parseable, we are looking to provide an strong, viable and FOSS alternative. https://ift.tt/Wva8eYq January 18, 2023 at 10:36PM

Show HN: AI analyzes Earnings calls for profit https://ift.tt/Kd2wr0g

Show HN: AI analyzes Earnings calls for profit I have been working on this AI that analyzes earnings report line by line and highlights texts based on the sentiment Here is a direct link to some of the popular stocks' latest earnings analysed with AI Meta Platforms [ link in comments ] Apple, Inc. [ link in comments ] Tesla, Inc. [ link in comments ] The green highlights are positive, and the red ones you can see if you scroll are negative statements I also made a tab on top where you can see, individual statements made on margin, revenue, and growth Hope you guys find it helpful, I'm always happy to take feedback or any more data you wanna see, please feel to comment and let me know January 18, 2023 at 08:32AM

Show HN: A tool for motion-capturing 3D characters using a VR headset https://ift.tt/YIENO83

Show HN: A tool for motion-capturing 3D characters using a VR headset Hi everyone! I'm one of the authors of this project. The demo you see here is powered by a tool that I recently helped develop and open-source at Shopify called handy. You can find the repo here: https://ift.tt/Ob7M1s6 Most people don't realize that VR headsets have become really capable motion capture platforms, so we decided to release this tool to bring motion capture into the hands of everyone who owns a headset. With a cheap Quest 2 you can capture your hands using the headset's hand-tracking feature and your head. With an expensive Quest Pro you could capture your facial expressions using the headset's eye and face-tracking features. Thanks for checking this project out! I'm here to answer questions if you have any. https://ift.tt/GmIgvMN January 17, 2023 at 08:03PM

Show HN: Semantic Search for Confluence Workspace https://ift.tt/RJlZCnq

Show HN: Semantic Search for Confluence Workspace Hello Hacker News! I built Sleuth, an open source search tool for your workspace. I originally started off with Slack but quickly learned that Confluence search is a well documented problem: https://twitter.com/beajammingh/status/1273742155731791872?s... Sleuth solves this problem using semantic search to find relevant Confluence pages and Slack messages for your query. You can ask Sleuth questions about HR policies, technical documentation, product decisions, and more. Sleuth is open source and can be self-hosted, although there are dependencies on OpenAI and Pinecone (which will be swapped out for open-source alternatives for larger orgs with regulatory constraints). Feel free to reach out in our Slack group if you're interested in using Sleuth in your workspace: https://ift.tt/1Go3ajP... https://ift.tt/whxqBfr https://ift.tt/bvGHkJT January 17, 2023 at 11:23PM

Show HN: AI Remote Setups – Rate remote work setups generated with AI https://ift.tt/FsBxnS1

Show HN: AI Remote Setups – Rate remote work setups generated with AI Remote Setups generates remote work setups or home office setups using AI and lets users rate them. The setups listed on it are astoundingly beautiful and all of them are in ultra high quality. https://remotesetups.xyz January 17, 2023 at 05:14AM

Show HN: Caff.ai a Caffeine Manager for better sleep and more energy https://ift.tt/2Vi9AwC

Show HN: Caff.ai a Caffeine Manager for better sleep and more energy Hey HN, I often don't know if I can have a coffee at 2pm and started logging my caffeine intake so I wouldn't be up until 2am. For me it was never as easy as a cut off time (ie stop coffee at 1pm) because I vary the amount and timing of my coffee day to day. I made an app that helps you stay in your custom 'daytime target range' and under your 'bedtime target' caffeine level. It can predict how much caffeine you'll have at bedtime and tell you what time your caffeine will be below a configurable sleepable level. I also added a feature that gives you a notification 30 minutes before you can have your last cup of coffee and still be under your bedtime target at bedtime. This helps you stay maximally caffeinated while minimizing the negative effects. I have over 600 drinks in my drinks list, and I'd appreciate any feature suggestions or tangential app ideas as well. https://ift.tt/0nrihK6

Show HN: Free Online Course – Debugging Difficult Conversations https://ift.tt/EmJtXAs

Show HN: Free Online Course – Debugging Difficult Conversations As an engineer I get frustrated at other training courses that talk a lot of theory, but don't have a lot of practical advice and tools to actually help. So, I built an online self-paced training course on difficult conversations (think feedback, salary negotiation, etc) that I wanted to share with the community. I like to make my training courses more "algorithmic." A process you can follow to approach a Difficult Conversation, get in the right mindset to tackle it, and prepare what you need to that allows you to do it well. This course will teach you: - What Difficult Conversations are and what happens when you ignore them - Why having Difficult Conversations can be beneficial to you, your team, and your career - A framework (and accompanying worksheet) to help you prepare for Difficult Conversations https://ift.tt/fumK70t January 16, 2023 at 04:19AM

Show HN: Group accountability for atomic habits (iOS) https://ift.tt/qhYR30e

Show HN: Group accountability for atomic habits (iOS) I started this project by running 10-day group challenges on Whatsapp. The group was gathered via a Webflow landing page, Google forms, Zapier and a PayPal button (here’s what I posted on HN at that time - https://ift.tt/5gq0hrw ). The WhatsApp challenges turned out to be a hit with over 85% checking in daily and 45% repaying to join multiple challenges. After having tried Streaks, Habitify, GTD, reminder apps, google calendar, Notion...etc—I was still having trouble staying consistent with my personal/wellness goals and habits. Methods from Atomic Habits by James Clear—is what worked best for me, but it was still difficult. For example, I had a daily push-up reminder on my google calendar that I ignored for almost a year. Fast forward, I’m now on day 120+ doing push-ups, meditation and waking up before 6am—after participating in group accountability challenges :) To see if we can scale it to help more people and potentially build a