The best Hacker News stories from Show from the past week
Latest posts:
Show HN: The HN Recap – AI generated daily HN podcast
We've been running The HN Recap for a month to make it easier to consume Hacker News. While this was a PoC in understanding adoption for AI-generated podcasts, we now plan to keep this going, since lots of people are now listening to this daily.<p>Let us know what other content channels you'd like to receive as Podcasts and we'll get on it.<p>Read more about our learnings here → <a href="https://wondercraft.ai/blog/learnings-from-1-month-of-ai-podcast">https://wondercraft.ai/blog/learnings-from-1-month-of-ai-pod...</a>
Show HN: A search engine for your personal network of high-quality websites
Hey all,<p>Last time when we were on HackerNews [1], we received a lot of feedback, and we incorporated most of it.<p>- We have changed our name from grep.help to usegrasp.com<p>- A privacy policy page<p>- Bulk import<p>- Pricing page<p>We are happy to introduce a new feature: a personalized answer search engine that provides direct citations to the content on the page.<p>Demo: <a href="https://usegrasp.com/search?q=is+starship+fully+reusable?" rel="nofollow">https://usegrasp.com/search?q=is+starship+fully+reusable?</a><p>1 - <a href="https://news.ycombinator.com/item?id=35510949" rel="nofollow">https://news.ycombinator.com/item?id=35510949</a>
Show HN: A search engine for your personal network of high-quality websites
Hey all,<p>Last time when we were on HackerNews [1], we received a lot of feedback, and we incorporated most of it.<p>- We have changed our name from grep.help to usegrasp.com<p>- A privacy policy page<p>- Bulk import<p>- Pricing page<p>We are happy to introduce a new feature: a personalized answer search engine that provides direct citations to the content on the page.<p>Demo: <a href="https://usegrasp.com/search?q=is+starship+fully+reusable?" rel="nofollow">https://usegrasp.com/search?q=is+starship+fully+reusable?</a><p>1 - <a href="https://news.ycombinator.com/item?id=35510949" rel="nofollow">https://news.ycombinator.com/item?id=35510949</a>
Show HN: GPT-JSON – Structured and typehinted GPT responses in Python
Hey HN, I've been using GPT a lot lately in some side projects around data generation and benchmarking. During the course of prompt tuning I ended up with a pretty complicated request: the value that I was looking for, an explanation, a criticism, etc. JSON was the most natural output format for this but results would often be broken, have wrong types, or contain missing fields.<p>There's been some positive movement in this space, like with jsonformer (<a href="https://github.com/1rgs/jsonformer">https://github.com/1rgs/jsonformer</a>) the other day. But nothing that was plug and play with GPT.<p>This library consolidates the separate logic that I built across 5 different projects. It lets you prompt the model for how it should return fields, inject variable prompts, handle common formatting errors, then cast to pydantic when you're done for typehinting and validation in your IDE. If you're able to play around with it, let me know what you think.
Show HN: Currl – A free text-based social bookmarking website
Show HN: I've built a spectrogram analyzer web app
Show HN: I built a database GUI with ChatGPT integration
Hey there! I’ve been working on DB Pilot for the last couple of months, and I recently added an AI assistant powered by GPT 3.5 to help you write SQL queries tailored to your DB schema.<p>Simply ask what data you are looking for - GPT will figure out which tables to use, how to join them, and then write a query for you.<p>The AI assistant knows which tables and columns exist in your database, meaning it can write queries specific to your schema.<p>Besides that, it doesn't have access to any actual data from your database though, meaning your data doesn't get exposed to OpenAI.
Show HN: PySaaS – Python SaaS starter kit
Hi HN,<p>Recently, I’ve noticed there’s a decently high barrier to entry in developing competitive, full-stack SaaS applications.<p>Beside the standard, boring features that take months to implement, you typically have to know several languages and frameworks, and be familiar with fancy frontend styling classes.<p>I’m working hard right now to solve this problem by building PySaaS- The 100% pure Python SaaS starter kit.<p>PySaaS is a boilerplate Python codebase that takes care of the fundamental components standard to all SaaS applications.<p>The codebase uses the Pynecone web framework to compile your frontend into a NextJS app, so you never have to touch any HTML, CSS, or Javascript. Pynecone is easy to learn, yet fully flexible and powerful enough for advanced use cases. We implement out-of-the-box functionality for secure Firebase user authentication, Lemon Squeezy subscription management (MoR removes a major tax headache), Notion as a headless blog CMS, and more.<p>Our mission is to help developers and founders save months of development time and focus on building unique features, which will in turn provide more opportunities to generate revenue and give value to customers.<p>And easily do it in pure Python! Frontend. Backend. All in Python.<p>To check out the live demo for free, click the link and then the “See Demo” button.<p>Let me know what you think.
Show HN: EVA – AI-Relational Database System
Hi friends,<p>We are building EVA, an AI-Relational database system with first-class support for deep learning models. Our goal with EVA is to create a platform that supports AI-powered multi-modal database applications operating on structured (tables, feature vectors, etc.) and unstructured data (videos, podcasts, pdf, etc.) with deep learning models. EVA comes with a wide range of models for analyzing unstructured data, including models for object detection, OCR, text summarization, audio speech recognition, and more.<p>The key feature of EVA is its AI-centric query optimizer. This optimizer is designed to speed up AI-powered applications using a collection of optimizations inspired by relational database systems. Two of the most important optimizations are:<p>+ Caching: EVA automatically reuses previous query results (e.g., inference results), eliminating redundant computation and saving you money on inference.<p>+ Predicate Reordering: EVA optimizes the order in which query predicates are evaluated (e.g., running faster, more selective deep learning models first), leading to faster queries.<p>Besides saving money spent on inference, EVA also makes it easier to write SQL queries to set up multi-modal AI pipelines. With EVA, you can quickly integrate your AI models into the database system and seamlessly query structured and unstructured data.<p>We are constantly working on improving EVA and would love to hear your feedback!
Show HN: Frogmouth – A Markdown browser for the terminal
Hi HN,<p>Frogmouth is a TUI to display Markdown files. It does a passable job of displaying Markdown, with code blocks and tables. No image support as yet.<p>It's very browser like, with navigation stack, history, and bookmarks. Works with both the mouse and keyboard.<p>There are shortcuts for viewing README.md files and other Markdown on GitHub and GitLab.<p>License is MIT.<p>Let me know what you think...
Show HN: ScrapScript – A tiny functional language for sharable software
Hi friends,<p>I started casually working on scrapscript in 2015. I built a few compilers over the years to test out various ideas/implementations, and I think I'm finally happy with the overall design.<p>The code is not public yet. Email me at hello@taylor.town if you're interested in joining the core team later this year.<p>Let me know if you have any questions or feedback :)
Show HN: Neat – Minimalist CSS Framework
Today I fixed a couple little bugs and released a new version of my minimalist CSS framework. I built this to scratch my own itch and I've been using it for a few years as the starting point for most of my own websites.<p>I noticed I hadn't shared this with HN for about 18 months (5 or 6 minor version changes) so I thought it might be okay to do that now.<p>Edit: Err, I missed a post from 7 months ago.<p>Previous Posts:<p><a href="https://news.ycombinator.com/item?id=32990838" rel="nofollow">https://news.ycombinator.com/item?id=32990838</a>
(7 months ago)<p><a href="https://news.ycombinator.com/item?id=24594381" rel="nofollow">https://news.ycombinator.com/item?id=24594381</a> (Sept 25, 2021)<p><a href="https://news.ycombinator.com/item?id=26308052" rel="nofollow">https://news.ycombinator.com/item?id=26308052</a> (March 1, 2021)<p><a href="https://news.ycombinator.com/item?id=25660317" rel="nofollow">https://news.ycombinator.com/item?id=25660317</a> (January 20, 2021)<p><a href="https://news.ycombinator.com/item?id=23221957" rel="nofollow">https://news.ycombinator.com/item?id=23221957</a> (May 28, 2020)
Show HN: An interactive map showing live wind farm generation in Great Britain
GB Renewables Map an energy experiment created entirely in my free time (day job is visualisation at Octopus Energy).<p>It's an interactive map showing live generation for major wind farms in Great Britain, showing what each wind farm is generating both now and in the past, and where that generation is physically located.<p>Animated weather data is from WeatherLayers and shows current and historic wind conditions on the map, providing context to wind generation around the country.<p>History mode allows you to go back in time and see wind generation and weather conditions for a particular date and time. It's great for exploring days of record generation, such as the 21.6GW record on January 10th, 2023!<p>Prediction mode lets you see what wind farms are estimated to be generating using current wind conditions and model based on historic generation and wind speeds. Is a wind farm generating as you expect, or is there something to look into?<p>An experimental feature allows you to see what future wind farms could be generating today (or in the past!) if they were already built and operational. If you click the "sparkle" button on the map you'll get to see what the upcoming 3.6GW Dogger Bank wind farm is estimated to generate if it was operational today.<p>There's an "About" section on the site that goes into detail on the various public data sources and how some of the features work. I also document a lot of this on my Twitter @robhawkes if you're curious.<p>This is just the start and there are many more features to come!<p>Please let me know your comments and suggestions.
Show HN: I built a multiplayer voxel browser game engine
Show HN: Homemade rocketship treehouse – hardware to custom OS
(This was previously submitted as <a href="https://news.ycombinator.com/item?id=2246856" rel="nofollow">https://news.ycombinator.com/item?id=2246856</a>)<p>The Ravenna Ultra-Low-Altitude Vehicle is a backyard rocketship treehouse nestled in the Seattle neighborhood of Ravenna. Click the link to see a demo video (<a href="http://rocket.jonh.net" rel="nofollow">http://rocket.jonh.net</a>).<p>The hexagonal treehouse is about 6.5 feet (2 meters) across at its widest point. The frame is welded mild steel with riveted aluminum siding. It contains nearly 800 LEDs forming dozens of numeric displays spread across 14 control panels, each with an acrylic face laser-cut and etched with labels such as "Lunar Distance" and "Hydraulic Pressure". The pilot controls the rocket using a joystick and panels full of working switches, knobs and buttons. Underneath the capsule are three "thrusters" that shoot plumes of water and compressed air under the control of the pilot's joystick, simulating real positioning thrusters. Takeoff and docking sequences are augmented by a paint-shaker that simulates the vibration of a rocket engine. Sound effects complete the illusion, with a powered subwoofer that gives the rocket a satisfying rumble.<p>When it was built in 2011, rocket operations were controlled by three Atmega328 microprocessors on custom-fabricated printed circuit boards, running a small operating system, RULOS, built just for this project. A trench running from the house to the rocket carries 12VDC power for the lighting and electronics, water for the thrusters, compressed air, and several data signals.<p>Since 2011, the two-person team has upgraded it, here is a recent update from the makers:<p>One of the most visible changes is replacing the primary 4-line display with a slicker 6-line display (i.e., 6 rows of 8 columns of 7-segment LEDs). The audio synthesizer has been upgraded to a PCB that can generate 50khz, 16-bit audio. The interconnection bus, which had been flat IDC cable carrying individual on/off lines, was upgraded to a true I2C-based networked distributed system with over a dozen individually addressable targets, all interconnected by standard cat5 cable that carries both our I2C protocol and power. We also moved much of the electronics from 8-bit atmega328s to newer, 32-bit STM32F3's. RULOS has been expanded into a pretty general purpose embedded systems platform ported to 5 major lines of CPU (atmega, attiny, stm32, nxp lpc, and esp32). We've used it for dozens of other projects in the last 12 years, including a nanosecond-accurate timestamper, a GPS datalogger, an air quality sensor, various little electronic control boards for toys (e.g. these, and this), and an autonomous boat (that sank). It is all available on Github: <a href="https://github.com/jelson/rulos">https://github.com/jelson/rulos</a>.
Show HN: I was frustrated with pricing of PagerDuty et al., so made one myself
Show HN: I was frustrated with pricing of PagerDuty et al., so made one myself
Show HN: I made a SQL game to help people learn / challenge their skills
Show HN: I made a SQL game to help people learn / challenge their skills
Show HN: WasmGPT – “ChatGPT” in the browser, no WebGPU and no server needed
Using threaded emscripten to speed up the generation and offload the main loop. No SIMD or other optimizations. Might work faster with #enable-experimental-webassembly-features enabled.<p>Tested in x86 Chrome and Firefox, Apple Silicon Safari<p>Run it yourself: <a href="https://github.com/lxe/ggml/tree/wasm-demo">https://github.com/lxe/ggml/tree/wasm-demo</a><p>Thanks, <a href="https://github.com/ggerganov/ggml">https://github.com/ggerganov/ggml</a>,