Sunday 2 July 2023

Saturday 1 July 2023

Show HN: Personal Replit Ghostwriter https://bit.ly/3JHSJBD

Show HN: Personal Replit Ghostwriter What it is: A website to run a Ghostwriter like code generation assistant for free! Backstory: Hi All, I recently stumbled upon GGML 4 bit quantized LLMs and the fact that small version of these GGML models (i.e., upto 7b) can run smoothly on a CPU! The GGML 4 bit quantized version of replit’s codeInstruct-3b model, only requires 2GB of RAM! So I quickly tested it and hosted the model on a free HuggingFace Space and it works! Let me know your thoughts on it! https://bit.ly/3XwPZwL July 1, 2023 at 04:11PM

Show HN: Skogsnet Temperature and Humidity Monitoring with Raylib and C/C https://bit.ly/3CWRUkI

Show HN: Skogsnet – Temperature and Humidity Monitoring with Raylib and C/C++ Arduino -> Serial bus -> Unix -> (main) Measuements read from the Serial bus and displayed real time. With Raylib as Visualization for the data. https://bit.ly/3JE7LIF July 1, 2023 at 04:54PM

Show HN: Use Reddit via JSON feeds without authentication https://bit.ly/3NV4qav

Show HN: Use Reddit via JSON feeds without authentication Hey guys, As Reddit makes it harder to use their API, I decided to make a wrapper around their undocumented JSON feeds. This allows you to get data from Reddit without authentication. This is only suitable for getting public data. I hope this helps someone out there. I'm also planning to make an android app via CapacitorJS using this library. Feel free to ask questions or give feedback. Thanks! https://bit.ly/3r6oopX July 1, 2023 at 07:00PM

Show HN: Timechief My Smartclock Project https://bit.ly/3r51UFH

Show HN: Timechief – My Smartclock Project https://bit.ly/44tiwW4 July 1, 2023 at 01:22PM

Show HN: Look Ma I have solved some sh.t https://bit.ly/3JEDSrv

Show HN: Look Ma, I have solved some sh.t https://bit.ly/3JFa9Pw July 1, 2023 at 07:36AM

Friday 30 June 2023

Show HN: Linki the Distributed Wiki https://bit.ly/446jWGm

Show HN: Linki, the Distributed Wiki Hi everyone! I wanted to build a library that can be used to created distributed wikis, because I want people to have tools to run their own wiki as easy as it is to start a git repository and I want them to use each others' works. I want it to be as easy to share a git repository too. I want people sharing information by subscribing to each other and contributing to each other. I have a lot to say about what caused this to become a reality inside my README. Its pretty simple right now, and I hope to keep it simple but powerful in the future. I want to add more backends to it, improve its transfer methods, and improve its history storage. I want to create powerful frontends for it that have the powerful utility of github and wikipedia. Consider this a soft release. I'm looking for guidance from those who become interested in it. Please share any ideas or recommendations as Issues. I want to see that 0.0.x turn into a 0.1.x as soon as possible and give it a grand release soon. https://bit.ly/3NAvJWb July 1, 2023 at 05:47AM

Show HN: Google Trends - 429 https://bit.ly/449rAzU

Show HN: Google Trends - 429 The recent spike in 429 curiosity is from the status code Reddit's API now returns, which some third-party clients make clear to users. For example, RiF creates a toast notification with nothing but this code a bit repetitively. https://bit.ly/3r99bV5 July 1, 2023 at 05:41AM

Show HN: Tabserve.dev. HTTPS proxy using Web Workers and a Cloudflare Worker https://bit.ly/44oE06p

Show HN: Tabserve.dev. HTTPS proxy using Web Workers and a Cloudflare Worker Tabserve gives you a https url for localhost using only the browser (tabserve.dev). Take a look: https://bit.ly/3pvu2S1 https://bit.ly/3pvu2S1 June 30, 2023 at 11:33PM

Show HN: Lemonade a stupid simple Lemmy community browser https://bit.ly/3NFeGCK

Show HN: Lemonade – a stupid simple Lemmy community browser Today Reddit is killing the 3rd party apps, leaving us with no way of accessing user-generated (but not user-owned) content. People are moving away from sites like Reddit to more open, friendlier online communities like kbin and lemmy. I wanted to make this easier especially to the less techie users who might find the process daunting. More info about the project here: https://bit.ly/3PAXfWe https://bit.ly/3Xz4lg2 June 30, 2023 at 12:59PM

Thursday 29 June 2023

Show HN: LLM streaming directly from React Server Components https://bit.ly/445SmJp

Show HN: LLM streaming directly from React Server Components https://bit.ly/3CQfdMW June 30, 2023 at 12:47AM

Show HN: Scrapscript Guide Proposals and Community Chat https://bit.ly/3pkxCyx

Show HN: Scrapscript “Guide”, Proposals, and Community Chat https://bit.ly/3CYSluB June 29, 2023 at 01:40PM

Show HN: Browser extension for quick access to any productivity tools as widgets https://bit.ly/3NQDmJI

Show HN: Browser extension for quick access to any productivity tools as widgets https://bit.ly/43cKzby June 29, 2023 at 10:26AM

Show HN: I built an open-source unit testing suite for prompts inputs https://bit.ly/3NDJd3Q

Show HN: I built an open-source “unit testing” suite for prompts ⮂ inputs Hi HN, I'm pleased to share Promptspot, an open-source (Apache License 2.0) project that helps automate testing of large language model (LLM) prompts against an array of input data. Modern LLMs offer an enormous amount of leverage if you "teach the bot to fish" — i.e. simply prompt it with both a "system prompt" (which typically doesn't change often) and a dynamic input, which is often application state, search results, recent activity, user profile data, etc. Existing playgrounds and prompt management systems often lack the rigor and flexibility required for this dynamic approach — and as more teams adopt this pattern, I hope Promptspot can become a useful tool for testing, monitoring, and centralizing this data. Promptspot currently supports text-davinci-003 from OpenAI, but I hope to add support for more models soon. Contributions welcome! https://bit.ly/44273x6 June 29, 2023 at 02:07PM

Show HN: Hivekit Geospatial App Platform https://bit.ly/432JzXd

Show HN: Hivekit, Geospatial App Platform Hey everyone, We’re Adam & Wolfram, the founders of Hivekit ( https://bit.ly/3xMRrjo ), a geospatial app platform to track people and vehicles, stream updates, and execute logic based on spatial events. This allows teams in logistics, ride-sharing, delivery, construction, agriculture or AR gaming to fully concentrate on what makes their offering unique without having to worry about the complex infrastructure required to run large scale geospatial apps. We both have a long history of building realtime data services for industries like financial trading, gaming or app development - but there’s something interesting about that. We were repeatedly approached by companies in mines, food delivery networks, ride sharing companies, mines and even farm-equipment manufacturers who were willing to twist our purpose-built solutions into a pretzel to make them work for geospatial tracking. Recognizing this lack of commodity tech, we started meeting with tech folk from around the world, went to onsite visits in English mines, Italian mozzarella plants and German construction yards (one of my favorite parts of the job) and learned that there’s a huge need for a low level realtime data platform for geospatial apps. Hivekit is that platform. It lets you send location and other data from large numbers of vehicles and devices, subscribe to realtime update feeds from apps and websites, store routes and historic data, run scriptable logic in response to spatial events and comes with all the bits needed to build a successful geospatial app such as online status, geofencing, rich auth and permissions, fulltext search or pubsub notifications. But we want to do more: We’re already working on a 3D world map that lets you track all workers, vehicles and objects, add custom UIs and interactive map overlays, pause and rewind time and - most importantly - control your workforce Command & Conquer style: Simply select a few units, assign a task and Hivekit will translate it into individual instructions, send them out and track their progress. But our real goal isn’t for human operators to control their workforce, but for an AI to automate and optimize operations. Now, before everyone gets too excited: this won’t be an AI in the GPT sense, but more “traditional” ML, optimizing for individual value sets, e.g. “ensure that my taxi drivers are positioned optimally during the course of the day to ensure the lowest possible time to pick up.” You can read more about our plans here: https://bit.ly/44ijX9G Who are we? Wolfram previously built https://bit.ly/44GPX7Z , https://bit.ly/437dgXb and https://bit.ly/44ksvgs , Adam is Director of Engineering for a trading tech company. https://bit.ly/3xMRrjo June 29, 2023 at 01:13PM

Show HN: Papyrus A simple paper backup tool https://bit.ly/3PBeZ46

Show HN: Papyrus – A simple paper backup tool https://bit.ly/42YjQ28 June 29, 2023 at 10:13AM

Wednesday 28 June 2023

Show HN: Tweak your chord progressions for practice or composition https://bit.ly/46stRaD

Show HN: Tweak your chord progressions for practice or composition I'm excited to share with HN a new pet project I've been working on to explore how AI can create and explain harmonic chord progressions - Chord Variations. The project uses GPT-4 to generate unique and interesting chord combinations based on user input chord progression. It's akin to having a virtual musical assistant that can help non-musicians and musicians alike explore and create harmonious sound without needing any prior knowledge of music theory. The generated chord suggestions maintain a similar vibe to the user input. Alternative chord progression includes extended chords, chord substitutions, unique passing chords, and more. Additionally, musical theory explanations within the tool is helpful for users not just to create music, but understand the underlying structure it's built on a bit better. These chord progression suggestions can be used for practice or composition. As a musician myself, I am having quite a lot of fun playing around with it. One of the things I'm proud of is how the application really dips into music theory. It includes nuanced aspects such as dominant chords, secondary dominant chords, and the famous 2-5-1 chord progressions. That said, the development journey was full of lessons. Dealing with the latency of the GPT-4 API was particularly challenging. I used a Celery based queue system + client polling to manage the delay between request and response (from OpenAI API). Additionally, to keep the chord names consistent, I used a combination of prompting and regex. There are still some bugs that need to be squashed but overall I am pretty happy with the results. I'd love to hear your thoughts and feedback on the project. Also, if you're curious about anything, I am happy to delve into the details in comments. Feel free to take Chord Variations for a spin here: https://bit.ly/3r6c9K5 Looking forward to some interesting discussions! https://bit.ly/3r6c9K5 June 27, 2023 at 08:17PM

Show HN: Everything you need to stay up-to-date with your stock investments https://bit.ly/3pnVdOJ

Show HN: Everything you need to stay up-to-date with your stock investments https://bit.ly/3JB0bi5 June 28, 2023 at 09:45AM

Show HN: Long-form content generator (plus AI-assisted KW research) https://bit.ly/3CMENCF

Show HN: Long-form content generator (plus AI-assisted KW research) https://bit.ly/3JvUO3l June 28, 2023 at 12:48PM

Show HN: Playground for OpenAI Function Calling https://bit.ly/3Pu6Xd7

Show HN: Playground for OpenAI Function Calling Hey everyone, I'm Petr. I'm excited to share LangTale Playground ( https://bit.ly/3PvARxF ), a first-of-its-kind tool enabling anyone to experiment with OpenAI function calls without coding. Born out of a hackathon project, it's now a part of our broader LangTale platform aimed at tackling common developer challenges with Language Learning Models (LLM). These include prompt integration, testing and debugging, version control, auditing, and usage/cost management. Here's our tech stack: Next.js by Vercel, Tailwind CSS, OpenAI, PlanetScale's Vitess database, and the Radix UI & Shadcn's component library. We're eager to hear your feedback as we launch LangTale Playground today. Give it a spin and let us know what you think. https://bit.ly/3PvARxF June 28, 2023 at 10:59AM