The best Hacker News stories from Show from the past day
Latest posts:
Show HN: Throw – A space for asking and answering questions anonymously
Hello HN community,<p>For the past two years we’ve been working on this disruptive new thing. It’s about people, community, communication and truth.<p>Throw is the new space for asking and answering questions anonymously. We believe that in today’s world (both online and offline) content in communication exchanges is strongly influenced by the personas, profiles and façades people maintain/upkeep/safeguard socially, ideologically and on relationships.<p>From the way people post on Instagram the life they want others to believe they have, or the way people behave on thanksgiving with family, or at work, or with friends; on every social setting and interaction to some degree acting and behaving according to that setting and the people they interact with. These dynamics influence the content itself, as people don’t just respond to a question like computers do. What ends up happening is that the responder comes up with the answer by blending the possibly objective answer with feelings, setting, desires, commitments, ideologies, fears, insecurities, etc (social pressure or social agenda).<p>Something is missing between social media and the traditional Q&A…<p>Throw addresses this by creating a space free from this social agenda. Thus focusing strictly on the content exchanged and providing a safe, comfortable and unbiased space where people can ask and answer anything freely with no bias, fears or strings attached.<p>We've put key components of social media, Q&A and surveying industries into one platform.<p>Not only may Throw be used for personal and private questions and answers. But the power of crowdsourcing allows for a great variety of use cases like market research, validation of content and ideas, trivia, and much more. Serious matters and also just for fun…<p>It’s a query marketplace which means that “throwers” (people who ask questions) pay a fee proportional to the answers they need and in turn “catchers” (who catch them and respond) get compensated. This way we guarantee every user gets as many responses as he/she needs.<p>As for dealing with anonymity, we have built a sophisticated moderation protocol to neutralize and quickly ban people that contribute negatively as it is a priority people feel safe and comfortable in this community.<p>We have worked very hard to create a delightful product and are basically launching today!<p>If this is something that may be of your interest or you’d like to be one of the first to test it out download our app and play around with it.
<a href="https://www.trythrow.com" rel="nofollow noreferrer">https://www.trythrow.com</a><p>Also, if you have questions there is additional information in the FAQs section on our web page that could be of help.<p>Finally, we really appreciate any feedback we can get (of any kind). So if there's anything you like, don't like, or any other thought about Throw, we'd love to hear about it! You may post a comment below or through the contact section on the web page.<p>Be curious and dare to know!<p>Thank you!
Show HN: The full source code and assets for my custom game engine and game
I always enjoy reading posts about indie game development and looking at the source code of games other people have built. So for any game I release I naturally I want to do the same.<p><a href="https://github.com/Mknsri/HockeySlam">https://github.com/Mknsri/HockeySlam</a><p>Hockey Slam is a hockey shootout game on Android which I built almost from scratch. Some of the engine features include 3D graphics with PBR materials, a rudimentary physics system, replays, a multithreaded job system and a hot-reload DLL platform for developing on Windows.<p>I detailed the creation of the game in it's own post, but now that time has passed I am releasing the source code and assets under the MIT license. You can still find the making of here: <a href="https://hockeyslam.com/makingof" rel="nofollow noreferrer">https://hockeyslam.com/makingof</a><p>I'm happy to answer any questions you might have.
Show HN: The full source code and assets for my custom game engine and game
I always enjoy reading posts about indie game development and looking at the source code of games other people have built. So for any game I release I naturally I want to do the same.<p><a href="https://github.com/Mknsri/HockeySlam">https://github.com/Mknsri/HockeySlam</a><p>Hockey Slam is a hockey shootout game on Android which I built almost from scratch. Some of the engine features include 3D graphics with PBR materials, a rudimentary physics system, replays, a multithreaded job system and a hot-reload DLL platform for developing on Windows.<p>I detailed the creation of the game in it's own post, but now that time has passed I am releasing the source code and assets under the MIT license. You can still find the making of here: <a href="https://hockeyslam.com/makingof" rel="nofollow noreferrer">https://hockeyslam.com/makingof</a><p>I'm happy to answer any questions you might have.
Show HN: The full source code and assets for my custom game engine and game
I always enjoy reading posts about indie game development and looking at the source code of games other people have built. So for any game I release I naturally I want to do the same.<p><a href="https://github.com/Mknsri/HockeySlam">https://github.com/Mknsri/HockeySlam</a><p>Hockey Slam is a hockey shootout game on Android which I built almost from scratch. Some of the engine features include 3D graphics with PBR materials, a rudimentary physics system, replays, a multithreaded job system and a hot-reload DLL platform for developing on Windows.<p>I detailed the creation of the game in it's own post, but now that time has passed I am releasing the source code and assets under the MIT license. You can still find the making of here: <a href="https://hockeyslam.com/makingof" rel="nofollow noreferrer">https://hockeyslam.com/makingof</a><p>I'm happy to answer any questions you might have.
Show HN: Manabi Reader – Learn Japanese by Reading on iOS and macOS (SwiftUI)
I quit my job last year and worked mostly on this full SwiftUI rewrite of my Japanese reading app, Manabi Reader. The rewrite gave me the opportunity to expand to macOS (and without Catalyst so it feels extra native) and redo the data layer to be offline-first via Realm with iCloud sync.<p>The biggest differentiators compared with other language study apps are that it tracks every word/kanji you read so that you can see how much of a given webpage/article you're already familiar with and other features/analytics built on that foundation; it automatically builds a personal corpus of example sentences; and that it does all the Japanese tokenization/dictionary lookups locally on-device and in a flexible web browser-like UI with readability mode, to be respectful of your privacy and to work offline.<p>I've also added Anki integration. Tap a word, tap another button to save it to Anki with the original source material sentence and URL. I have a Manabi Flashcards app as well if you don't like Anki.<p>Packed with free features. See what percent of each article's vocabulary you're familiar with based on your reading history. Scan paragraphs of text with your camera to look up words. Japanese/English dict. Native Japanese web dicts. Look up kanji by drawing. Expanded JLPT levels. RSS. Web browser UI. Save links from other apps. Works offline. Readability mode. Tap words to look them up. Furigana depending on your familiarity with each word.<p>Future plans: besides more features (ePUB, YouTube, mpv player, WaniKani integration, more languages, etc), I’m also preparing the underlying SwiftUI web browser lib as open source and will launch it as a WebKit-based browser/reader option, which I’m excited to get out alongside other interesting recent entrants to the desktop and mobile browser market.
Show HN: Manabi Reader – Learn Japanese by Reading on iOS and macOS (SwiftUI)
I quit my job last year and worked mostly on this full SwiftUI rewrite of my Japanese reading app, Manabi Reader. The rewrite gave me the opportunity to expand to macOS (and without Catalyst so it feels extra native) and redo the data layer to be offline-first via Realm with iCloud sync.<p>The biggest differentiators compared with other language study apps are that it tracks every word/kanji you read so that you can see how much of a given webpage/article you're already familiar with and other features/analytics built on that foundation; it automatically builds a personal corpus of example sentences; and that it does all the Japanese tokenization/dictionary lookups locally on-device and in a flexible web browser-like UI with readability mode, to be respectful of your privacy and to work offline.<p>I've also added Anki integration. Tap a word, tap another button to save it to Anki with the original source material sentence and URL. I have a Manabi Flashcards app as well if you don't like Anki.<p>Packed with free features. See what percent of each article's vocabulary you're familiar with based on your reading history. Scan paragraphs of text with your camera to look up words. Japanese/English dict. Native Japanese web dicts. Look up kanji by drawing. Expanded JLPT levels. RSS. Web browser UI. Save links from other apps. Works offline. Readability mode. Tap words to look them up. Furigana depending on your familiarity with each word.<p>Future plans: besides more features (ePUB, YouTube, mpv player, WaniKani integration, more languages, etc), I’m also preparing the underlying SwiftUI web browser lib as open source and will launch it as a WebKit-based browser/reader option, which I’m excited to get out alongside other interesting recent entrants to the desktop and mobile browser market.
Show HN: React95 – A React components library recreating the look of Windows 95
Show HN: A hash array-mapped trie implementation in C
Long-simmering side project that is finally ready to see the light. HAMTs are a cool persistent data structure and implementing one has been a lot of fun. Beyond the code, there is likely some value in the extensive and largely complete implementation docs; basic benchmarks are linked in the README, too.<p>Kind of aiming to be "the libavl for HAMTs". That is obviously a high and aspirational bar but a distinct possibility if it stirs up a little interest and/or contribution.<p>Anyways, it's time for this to go out, collect feedback and maybe even some use outside of toy projects. Let me know how it goes.
Show HN: A hash array-mapped trie implementation in C
Long-simmering side project that is finally ready to see the light. HAMTs are a cool persistent data structure and implementing one has been a lot of fun. Beyond the code, there is likely some value in the extensive and largely complete implementation docs; basic benchmarks are linked in the README, too.<p>Kind of aiming to be "the libavl for HAMTs". That is obviously a high and aspirational bar but a distinct possibility if it stirs up a little interest and/or contribution.<p>Anyways, it's time for this to go out, collect feedback and maybe even some use outside of toy projects. Let me know how it goes.
Show HN: A hash array-mapped trie implementation in C
Long-simmering side project that is finally ready to see the light. HAMTs are a cool persistent data structure and implementing one has been a lot of fun. Beyond the code, there is likely some value in the extensive and largely complete implementation docs; basic benchmarks are linked in the README, too.<p>Kind of aiming to be "the libavl for HAMTs". That is obviously a high and aspirational bar but a distinct possibility if it stirs up a little interest and/or contribution.<p>Anyways, it's time for this to go out, collect feedback and maybe even some use outside of toy projects. Let me know how it goes.
Show HN: Danswer – Open-source question answering across all your docs
My friend and I have been feeling frustrated at how inefficient it is to find information at work. There are so many tools (Slack, Confluence, GitHub, Jira, Google Drive, etc.) and they provide different (often not great) ways to find information. We thought maybe LLMs could help, so over the last couple months we've been spending a bit of time on the side to build Danswer.<p>It is an open source, self-hosted search tool that allows you to ask questions and get answers across common workspace apps AND your personal documents (via file upload / web scraping)! Full demo here: <a href="https://www.youtube.com/watch?v=geNzY1nbCnU&t=2s">https://www.youtube.com/watch?v=geNzY1nbCnU&t=2s</a>.<p>The code (<a href="https://github.com/danswer-ai/danswer">https://github.com/danswer-ai/danswer</a>) is open source and permissively licensed (MIT). If you want to try it out, you can set it up locally with just a couple of commands (more details in our docs - <a href="https://docs.danswer.dev/introduction" rel="nofollow noreferrer">https://docs.danswer.dev/introduction</a>). We hope that someone out there finds this useful<p>We’d love to hear from you in our Slack (<a href="https://join.slack.com/t/danswer/shared_invite/zt-1u3h3ke3b-VGh1idW19R8oiNRiKBYv2w" rel="nofollow noreferrer">https://join.slack.com/t/danswer/shared_invite/zt-1u3h3ke3b-...</a>) or Discord (<a href="https://discord.gg/TDJ59cGV2X" rel="nofollow noreferrer">https://discord.gg/TDJ59cGV2X</a>). Let us know what other features would be useful for you!
Show HN: Danswer – Open-source question answering across all your docs
My friend and I have been feeling frustrated at how inefficient it is to find information at work. There are so many tools (Slack, Confluence, GitHub, Jira, Google Drive, etc.) and they provide different (often not great) ways to find information. We thought maybe LLMs could help, so over the last couple months we've been spending a bit of time on the side to build Danswer.<p>It is an open source, self-hosted search tool that allows you to ask questions and get answers across common workspace apps AND your personal documents (via file upload / web scraping)! Full demo here: <a href="https://www.youtube.com/watch?v=geNzY1nbCnU&t=2s">https://www.youtube.com/watch?v=geNzY1nbCnU&t=2s</a>.<p>The code (<a href="https://github.com/danswer-ai/danswer">https://github.com/danswer-ai/danswer</a>) is open source and permissively licensed (MIT). If you want to try it out, you can set it up locally with just a couple of commands (more details in our docs - <a href="https://docs.danswer.dev/introduction" rel="nofollow noreferrer">https://docs.danswer.dev/introduction</a>). We hope that someone out there finds this useful<p>We’d love to hear from you in our Slack (<a href="https://join.slack.com/t/danswer/shared_invite/zt-1u3h3ke3b-VGh1idW19R8oiNRiKBYv2w" rel="nofollow noreferrer">https://join.slack.com/t/danswer/shared_invite/zt-1u3h3ke3b-...</a>) or Discord (<a href="https://discord.gg/TDJ59cGV2X" rel="nofollow noreferrer">https://discord.gg/TDJ59cGV2X</a>). Let us know what other features would be useful for you!
Show HN: Danswer – Open-source question answering across all your docs
My friend and I have been feeling frustrated at how inefficient it is to find information at work. There are so many tools (Slack, Confluence, GitHub, Jira, Google Drive, etc.) and they provide different (often not great) ways to find information. We thought maybe LLMs could help, so over the last couple months we've been spending a bit of time on the side to build Danswer.<p>It is an open source, self-hosted search tool that allows you to ask questions and get answers across common workspace apps AND your personal documents (via file upload / web scraping)! Full demo here: <a href="https://www.youtube.com/watch?v=geNzY1nbCnU&t=2s">https://www.youtube.com/watch?v=geNzY1nbCnU&t=2s</a>.<p>The code (<a href="https://github.com/danswer-ai/danswer">https://github.com/danswer-ai/danswer</a>) is open source and permissively licensed (MIT). If you want to try it out, you can set it up locally with just a couple of commands (more details in our docs - <a href="https://docs.danswer.dev/introduction" rel="nofollow noreferrer">https://docs.danswer.dev/introduction</a>). We hope that someone out there finds this useful<p>We’d love to hear from you in our Slack (<a href="https://join.slack.com/t/danswer/shared_invite/zt-1u3h3ke3b-VGh1idW19R8oiNRiKBYv2w" rel="nofollow noreferrer">https://join.slack.com/t/danswer/shared_invite/zt-1u3h3ke3b-...</a>) or Discord (<a href="https://discord.gg/TDJ59cGV2X" rel="nofollow noreferrer">https://discord.gg/TDJ59cGV2X</a>). Let us know what other features would be useful for you!
Show HN: Workout.lol – a web app to easily create a workout routine
Hey everyone,<p>I here is a small open-source project I've been working on lately.
I'd love to hear your thoughts and improvement ideas :)<p>GitHub: [github.com/Vincenius/workout-lol](<a href="https://github.com/Vincenius/workout-lol">https://github.com/Vincenius/workout-lol</a>)
Show HN: Workout.lol – a web app to easily create a workout routine
Hey everyone,<p>I here is a small open-source project I've been working on lately.
I'd love to hear your thoughts and improvement ideas :)<p>GitHub: [github.com/Vincenius/workout-lol](<a href="https://github.com/Vincenius/workout-lol">https://github.com/Vincenius/workout-lol</a>)
Show HN: Workout.lol – a web app to easily create a workout routine
Hey everyone,<p>I here is a small open-source project I've been working on lately.
I'd love to hear your thoughts and improvement ideas :)<p>GitHub: [github.com/Vincenius/workout-lol](<a href="https://github.com/Vincenius/workout-lol">https://github.com/Vincenius/workout-lol</a>)
Show HN: Workout.lol – a web app to easily create a workout routine
Hey everyone,<p>I here is a small open-source project I've been working on lately.
I'd love to hear your thoughts and improvement ideas :)<p>GitHub: [github.com/Vincenius/workout-lol](<a href="https://github.com/Vincenius/workout-lol">https://github.com/Vincenius/workout-lol</a>)
Show HN : Nova - GPT with composable prompts, workspaces, + LlamaIndex
Show HN : Nova - GPT with composable prompts, workspaces, + LlamaIndex
Show HN: Digger – Open Source Terraform automation and collaboration tool