The best Hacker News stories from Show from the past day
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Show HN: I built a math website the internet loved, I'm back with more features
A few months back, I published my website, teachyourselfmath, which shows you a list of math problems parsed automatically from PDFs around the world. It received a tremendous amount of feedback and interest. And I was honestly overwhelmed by the response and then life happened.<p>Over the past few weeks, I have been actively working on this project, trying to incorporate all the feedback and I’d love to share it with the world again. New features:
1. Filter problems by difficulty and category
2. Bookmark your favorite problems
3. Editor in the comment section supports markdown formatting
4. ...and some UI improvements throughout the website<p>I am also starting a small telegram community of math nerds who would like to discuss all things math, as well as talk about upcoming features and feedback for the website. Here is the link - (<a href="https://t.me/teachyourselfmath" rel="nofollow">https://t.me/teachyourselfmath</a>)<p>If you’d like to support my work through small donations, you can do it here - (<a href="https://www.buymeacoffee.com/viveknathani">https://www.buymeacoffee.com/viveknathani</a>). Right now, teachyourselfmath runs for free. Later, I’d love to make features that people would love to pay for but fundamentally, the goal is to make math accessible through technology. There’s a lot of peer learning involved in the comments section of these math problems. All of this gives me more reason to keep working on this.<p>Happy hacking!
Show HN: Open-source BI and analytics for engineers
We are building Quary (<a href="https://quary.dev">https://quary.dev</a>), an engineer-first BI/analytics product. You can find our repo at <a href="https://github.com/quarylabs/quary">https://github.com/quarylabs/quary</a> and our website at <a href="https://www.quary.dev/">https://www.quary.dev/</a>. There’s a demo video here: <a href="https://www.youtube.com/watch?v=o3hO65_lkGU" rel="nofollow">https://www.youtube.com/watch?v=o3hO65_lkGU</a><p>As engineers who have worked on data at startups and Amazon, we were frustrated by self-serve BI tools. They seemed dumbed down and they always required us to abandon our local dev tools we know and love (e.g. copilot, git). For us and for everyone we speak to, they end up being a mess.<p>Based on this, we decided there was a need for engineer-oriented BI and analytics software.<p>Quary solves these pain points by bringing standard software practices (version control, testing, refactoring, ci/cd, open-source, etc.) to the BI and analytics workflow.<p>We integrate with many databases, but we’re showcasing our slick Supabase integration, because it: (1) keeps your data safe by running on your machine without data flowing through our servers; and (2) enables you to quickly build an analytics layer on top of your Supabase Postgres instances. Check out our Supabase guide: <a href="https://www.quary.dev/docs/quickstart-supabase">https://www.quary.dev/docs/quickstart-supabase</a><p>What we’re launching today is open source under the Apache 2.0 license. We plan to keep the developer core open source and add paid features like a web platform to easily share data models (per-seat pricing), and an orchestration engine to materialize your data models.<p>Please try Quary at <a href="https://quary.dev">https://quary.dev</a> and let us know what you think! We're excited to put the power of BI and analytics into the hands of engineers.
Show HN: Open-source BI and analytics for engineers
We are building Quary (<a href="https://quary.dev">https://quary.dev</a>), an engineer-first BI/analytics product. You can find our repo at <a href="https://github.com/quarylabs/quary">https://github.com/quarylabs/quary</a> and our website at <a href="https://www.quary.dev/">https://www.quary.dev/</a>. There’s a demo video here: <a href="https://www.youtube.com/watch?v=o3hO65_lkGU" rel="nofollow">https://www.youtube.com/watch?v=o3hO65_lkGU</a><p>As engineers who have worked on data at startups and Amazon, we were frustrated by self-serve BI tools. They seemed dumbed down and they always required us to abandon our local dev tools we know and love (e.g. copilot, git). For us and for everyone we speak to, they end up being a mess.<p>Based on this, we decided there was a need for engineer-oriented BI and analytics software.<p>Quary solves these pain points by bringing standard software practices (version control, testing, refactoring, ci/cd, open-source, etc.) to the BI and analytics workflow.<p>We integrate with many databases, but we’re showcasing our slick Supabase integration, because it: (1) keeps your data safe by running on your machine without data flowing through our servers; and (2) enables you to quickly build an analytics layer on top of your Supabase Postgres instances. Check out our Supabase guide: <a href="https://www.quary.dev/docs/quickstart-supabase">https://www.quary.dev/docs/quickstart-supabase</a><p>What we’re launching today is open source under the Apache 2.0 license. We plan to keep the developer core open source and add paid features like a web platform to easily share data models (per-seat pricing), and an orchestration engine to materialize your data models.<p>Please try Quary at <a href="https://quary.dev">https://quary.dev</a> and let us know what you think! We're excited to put the power of BI and analytics into the hands of engineers.
Show HN: Open-source BI and analytics for engineers
We are building Quary (<a href="https://quary.dev">https://quary.dev</a>), an engineer-first BI/analytics product. You can find our repo at <a href="https://github.com/quarylabs/quary">https://github.com/quarylabs/quary</a> and our website at <a href="https://www.quary.dev/">https://www.quary.dev/</a>. There’s a demo video here: <a href="https://www.youtube.com/watch?v=o3hO65_lkGU" rel="nofollow">https://www.youtube.com/watch?v=o3hO65_lkGU</a><p>As engineers who have worked on data at startups and Amazon, we were frustrated by self-serve BI tools. They seemed dumbed down and they always required us to abandon our local dev tools we know and love (e.g. copilot, git). For us and for everyone we speak to, they end up being a mess.<p>Based on this, we decided there was a need for engineer-oriented BI and analytics software.<p>Quary solves these pain points by bringing standard software practices (version control, testing, refactoring, ci/cd, open-source, etc.) to the BI and analytics workflow.<p>We integrate with many databases, but we’re showcasing our slick Supabase integration, because it: (1) keeps your data safe by running on your machine without data flowing through our servers; and (2) enables you to quickly build an analytics layer on top of your Supabase Postgres instances. Check out our Supabase guide: <a href="https://www.quary.dev/docs/quickstart-supabase">https://www.quary.dev/docs/quickstart-supabase</a><p>What we’re launching today is open source under the Apache 2.0 license. We plan to keep the developer core open source and add paid features like a web platform to easily share data models (per-seat pricing), and an orchestration engine to materialize your data models.<p>Please try Quary at <a href="https://quary.dev">https://quary.dev</a> and let us know what you think! We're excited to put the power of BI and analytics into the hands of engineers.
Show HN: I built an AI tool to help with ADHD task paralysis
Show HN: I open sourced Athena Crisis, a game built with React and CSS
Hey HN! I'm so excited to open source Athena Crisis under the MIT-License and fund contributions to the game and the genre.<p>If you like the game and want to support its development, please check it out on Steam or on athenacrisis.com.
Show HN: I open sourced Athena Crisis, a game built with React and CSS
Hey HN! I'm so excited to open source Athena Crisis under the MIT-License and fund contributions to the game and the genre.<p>If you like the game and want to support its development, please check it out on Steam or on athenacrisis.com.
Show HN: Boxwood – simple templating engine for JavaScript, in JavaScript
Hey!<p>A while back, I wrote a templating engine (MIT License), which I mostly use for small side projects, either static or ssr generated. Simplicity is one of the main goals.<p>I'll be happy to answer any questions. The main goal for sharing it is to simply get some feedback.<p>Best,
Emil
Show HN: Pico: An open-source Ngrok alternative built for production traffic
Pico is an open-source alternative to Ngrok. Unlike most other open-source tunnelling solutions, Pico is designed to serve production traffic and be simple to host (particularly on Kubernetes).<p>Upstream services connect to Pico and register endpoints. Pico will then route requests for an endpoint to a registered upstream service via its outbound-only connection. This means you can expose your services without opening a public port.<p>Pico runs as a cluster of nodes in order to be fault tolerant, scale horizontally and support zero downtime deployments. It is also easy to host, such as a Kubernetes Deployment or StatefulSet behind a HTTP load balancer.
Show HN: Pico: An open-source Ngrok alternative built for production traffic
Pico is an open-source alternative to Ngrok. Unlike most other open-source tunnelling solutions, Pico is designed to serve production traffic and be simple to host (particularly on Kubernetes).<p>Upstream services connect to Pico and register endpoints. Pico will then route requests for an endpoint to a registered upstream service via its outbound-only connection. This means you can expose your services without opening a public port.<p>Pico runs as a cluster of nodes in order to be fault tolerant, scale horizontally and support zero downtime deployments. It is also easy to host, such as a Kubernetes Deployment or StatefulSet behind a HTTP load balancer.
Show HN: Pico: An open-source Ngrok alternative built for production traffic
Pico is an open-source alternative to Ngrok. Unlike most other open-source tunnelling solutions, Pico is designed to serve production traffic and be simple to host (particularly on Kubernetes).<p>Upstream services connect to Pico and register endpoints. Pico will then route requests for an endpoint to a registered upstream service via its outbound-only connection. This means you can expose your services without opening a public port.<p>Pico runs as a cluster of nodes in order to be fault tolerant, scale horizontally and support zero downtime deployments. It is also easy to host, such as a Kubernetes Deployment or StatefulSet behind a HTTP load balancer.
Show HN: Attempt to bring a cinematic experience in 256 bytes (WASM)
Show HN: Making GNU Make a better Task Runner
I know this could be considered blasphemous, but I constantly find myself using Make as a task runner. I have written my own task runner in the past, but somehow I always end up using make.<p>I went, and I put together 3 quality of life snippets I use all the time and put it in a single makext.mk file that can be included in other Makefiles and wrote a basic readme for it.<p>This is not meant to be a replacement for other task runners, but I do think it can be useful to some of you.<p><a href="https://github.com/mitjafelicijan/makext">https://github.com/mitjafelicijan/makext</a><p>Check it out and see if it makes sense to you.<p>Thanks for any feedback or comments.<p>Cheers
Show HN: CarCheck – Car Buying Checklist App
Hey HN!<p>A few years ago my brother in-law was looking to purchase his first car. He was struggling to know what to look for when going to car dealerships and felt quite overwhelmed with the financial and practical decisions required. Not that I have any particular expertise with cars or the engineering involved, but through my own experiences purchasing cars and owning them I gave him some advice and "tips". As anyone would.<p>Things only morphed from there, I spent the next couple of years in my spare time learning to code, researching, and developing CarCheck. It's been a journey! Hindsight is 20/20 and some things I would have done differently, but that's part of the fun. I am proud to be sharing my (imperfect) first app with the world and excited to learn from you all for my next project :)<p>I would love to hear your feedback!
Show HN: CarCheck – Car Buying Checklist App
Hey HN!<p>A few years ago my brother in-law was looking to purchase his first car. He was struggling to know what to look for when going to car dealerships and felt quite overwhelmed with the financial and practical decisions required. Not that I have any particular expertise with cars or the engineering involved, but through my own experiences purchasing cars and owning them I gave him some advice and "tips". As anyone would.<p>Things only morphed from there, I spent the next couple of years in my spare time learning to code, researching, and developing CarCheck. It's been a journey! Hindsight is 20/20 and some things I would have done differently, but that's part of the fun. I am proud to be sharing my (imperfect) first app with the world and excited to learn from you all for my next project :)<p>I would love to hear your feedback!
Show HN: An open source framework for voice assistants
I've been obsessed for the past ~year with the possibilities of talking to LLMs. I built a bunch of one-off prototypes, shared code on X, started a Meetup group in SF, and co-hosted a big hackathon. It turns out that there are a few low-level problems that everybody building conversational/real-time AI needs to solve on the way to building/shipping something that works well: low-latency media transport, echo cancellation, voice activity detection, phrase endpointing, pipelining data between models/services, handling voice interruptions, swapping out different models/services.<p>On the theory that something like a LlamaIndex or LangChain for real-time/conversational AI would be useful, a few of us started working on a Python library for voice (and multimodal) AI assistants/agents.<p>So ... Pipecat: a framework for building things like personal coaches, meeting assistants, story-telling toys for kids, customer support bots, virtual friends, and snarky social bots.<p>Most of the core contributors to Pipecat so far work together at our day jobs. This has been a kind of "20% time" thing at our company. But we're serious about welcoming all contributions. We want Pipecat to support any and all models, services, transport layers, and infrastructure tooling. If you're interested in this stuff, please check it out and let us know what you think. Submit PRs. Become a maintainer. Join the Discord. Post cool stuff. Post funny stuff when your voice agent goes completely off the rails (as mine sometimes do).
Show HN: An open source framework for voice assistants
I've been obsessed for the past ~year with the possibilities of talking to LLMs. I built a bunch of one-off prototypes, shared code on X, started a Meetup group in SF, and co-hosted a big hackathon. It turns out that there are a few low-level problems that everybody building conversational/real-time AI needs to solve on the way to building/shipping something that works well: low-latency media transport, echo cancellation, voice activity detection, phrase endpointing, pipelining data between models/services, handling voice interruptions, swapping out different models/services.<p>On the theory that something like a LlamaIndex or LangChain for real-time/conversational AI would be useful, a few of us started working on a Python library for voice (and multimodal) AI assistants/agents.<p>So ... Pipecat: a framework for building things like personal coaches, meeting assistants, story-telling toys for kids, customer support bots, virtual friends, and snarky social bots.<p>Most of the core contributors to Pipecat so far work together at our day jobs. This has been a kind of "20% time" thing at our company. But we're serious about welcoming all contributions. We want Pipecat to support any and all models, services, transport layers, and infrastructure tooling. If you're interested in this stuff, please check it out and let us know what you think. Submit PRs. Become a maintainer. Join the Discord. Post cool stuff. Post funny stuff when your voice agent goes completely off the rails (as mine sometimes do).
Show HN: An open source framework for voice assistants
I've been obsessed for the past ~year with the possibilities of talking to LLMs. I built a bunch of one-off prototypes, shared code on X, started a Meetup group in SF, and co-hosted a big hackathon. It turns out that there are a few low-level problems that everybody building conversational/real-time AI needs to solve on the way to building/shipping something that works well: low-latency media transport, echo cancellation, voice activity detection, phrase endpointing, pipelining data between models/services, handling voice interruptions, swapping out different models/services.<p>On the theory that something like a LlamaIndex or LangChain for real-time/conversational AI would be useful, a few of us started working on a Python library for voice (and multimodal) AI assistants/agents.<p>So ... Pipecat: a framework for building things like personal coaches, meeting assistants, story-telling toys for kids, customer support bots, virtual friends, and snarky social bots.<p>Most of the core contributors to Pipecat so far work together at our day jobs. This has been a kind of "20% time" thing at our company. But we're serious about welcoming all contributions. We want Pipecat to support any and all models, services, transport layers, and infrastructure tooling. If you're interested in this stuff, please check it out and let us know what you think. Submit PRs. Become a maintainer. Join the Discord. Post cool stuff. Post funny stuff when your voice agent goes completely off the rails (as mine sometimes do).
Show HN: Pi-C.A.R.D, a Raspberry Pi Voice Assistant
Pi-card is an AI powered voice assistant running locally on a Raspberry Pi. It is capable of doing anything a standard LLM (like ChatGPT) can do in a conversational setting. In addition, if there is a camera equipped, you can also ask Pi-card to take a photo, describe what it sees, and then ask questions about that.<p>It uses distributed models so latency is something I'm working on, but I am curious on where this could go, if anywhere.<p>Very much a WIP. Feedback welcome :-)
Show HN: Pi-C.A.R.D, a Raspberry Pi Voice Assistant
Pi-card is an AI powered voice assistant running locally on a Raspberry Pi. It is capable of doing anything a standard LLM (like ChatGPT) can do in a conversational setting. In addition, if there is a camera equipped, you can also ask Pi-card to take a photo, describe what it sees, and then ask questions about that.<p>It uses distributed models so latency is something I'm working on, but I am curious on where this could go, if anywhere.<p>Very much a WIP. Feedback welcome :-)