The best Hacker News stories from Show from the past day
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Show HN: Stella Nera – Maddness Hardware Accelerator
Show HN: Neum AI – Open-source large-scale RAG framework
Over the last couple months we have been supporting developers in building large-scale RAG pipelines to process millions of pieces of data.<p>We documented our approach in an HN post (<a href="https://news.ycombinator.com/item?id=37824547">https://news.ycombinator.com/item?id=37824547</a>) a couple weeks ago. Today, we are open sourcing the framework we have developed.<p>The framework focuses on RAG data pipelines and provides scale, reliability, and data synchronization capabilities out of the box.<p>For those newer to RAG, it is a technique to provide context to Large Language Models. It consists of grabbing pieces of information (i.e. pieces of news articles, papers, descriptions, etc.) and incorporating them into prompts to help contextualize the responses. The technique goes one level deeper in finding the right pieces of information to incorporate. The search for relevant information is done through the use of vector embeddings and vector databases.<p>Those pieces of news articles, papers, etc. are transformed into a vector embedding that represents the semantic meaning of the information. These vector representations are organized into indexes where we can quickly search for the pieces of information that most closely resembles (from a semantic perspective) a given question or query. For example, if I take news articles from this year, vectorize them, and add them to an index, I can quickly search for pieces of information about the US elections.<p>To help achieve this, the Neum AI framework features:<p>Starting with built-in data connectors for common data sources, embedding services and vector stores, the framework provides modularity to build data pipelines to your specification.<p>The connectors support pre-processing capabilities to define loading, chunking and selecting strategies to optimize content to be embedded. This also includes extracting metadata that is going to be associated to a given vector.<p>The generated pipelines support large scale jobs through a high throughput distributed architecture. The connectors allow you to parallelize tasks like downloading documents, processing them, generating embedding and ingesting data into the vector DB.<p>For data sources that might be continuously changing, the framework supports data scheduling and synchronization. This includes delta syncs where only new data is pulled.<p>Once data is transformed into a vector database, the framework supports querying of the data including hybrid search using the available metadata added during pre-processing. As part of the querying process, the framework provides capabilities to capture feedback on retrieved data as well as run evaluations against different pipeline configurations.<p>Try it out and if interested in chatting more about this shoot us an email founders@tryneum.com
Show HN: Neum AI – Open-source large-scale RAG framework
Over the last couple months we have been supporting developers in building large-scale RAG pipelines to process millions of pieces of data.<p>We documented our approach in an HN post (<a href="https://news.ycombinator.com/item?id=37824547">https://news.ycombinator.com/item?id=37824547</a>) a couple weeks ago. Today, we are open sourcing the framework we have developed.<p>The framework focuses on RAG data pipelines and provides scale, reliability, and data synchronization capabilities out of the box.<p>For those newer to RAG, it is a technique to provide context to Large Language Models. It consists of grabbing pieces of information (i.e. pieces of news articles, papers, descriptions, etc.) and incorporating them into prompts to help contextualize the responses. The technique goes one level deeper in finding the right pieces of information to incorporate. The search for relevant information is done through the use of vector embeddings and vector databases.<p>Those pieces of news articles, papers, etc. are transformed into a vector embedding that represents the semantic meaning of the information. These vector representations are organized into indexes where we can quickly search for the pieces of information that most closely resembles (from a semantic perspective) a given question or query. For example, if I take news articles from this year, vectorize them, and add them to an index, I can quickly search for pieces of information about the US elections.<p>To help achieve this, the Neum AI framework features:<p>Starting with built-in data connectors for common data sources, embedding services and vector stores, the framework provides modularity to build data pipelines to your specification.<p>The connectors support pre-processing capabilities to define loading, chunking and selecting strategies to optimize content to be embedded. This also includes extracting metadata that is going to be associated to a given vector.<p>The generated pipelines support large scale jobs through a high throughput distributed architecture. The connectors allow you to parallelize tasks like downloading documents, processing them, generating embedding and ingesting data into the vector DB.<p>For data sources that might be continuously changing, the framework supports data scheduling and synchronization. This includes delta syncs where only new data is pulled.<p>Once data is transformed into a vector database, the framework supports querying of the data including hybrid search using the available metadata added during pre-processing. As part of the querying process, the framework provides capabilities to capture feedback on retrieved data as well as run evaluations against different pipeline configurations.<p>Try it out and if interested in chatting more about this shoot us an email founders@tryneum.com
Show HN: Neum AI – Open-source large-scale RAG framework
Over the last couple months we have been supporting developers in building large-scale RAG pipelines to process millions of pieces of data.<p>We documented our approach in an HN post (<a href="https://news.ycombinator.com/item?id=37824547">https://news.ycombinator.com/item?id=37824547</a>) a couple weeks ago. Today, we are open sourcing the framework we have developed.<p>The framework focuses on RAG data pipelines and provides scale, reliability, and data synchronization capabilities out of the box.<p>For those newer to RAG, it is a technique to provide context to Large Language Models. It consists of grabbing pieces of information (i.e. pieces of news articles, papers, descriptions, etc.) and incorporating them into prompts to help contextualize the responses. The technique goes one level deeper in finding the right pieces of information to incorporate. The search for relevant information is done through the use of vector embeddings and vector databases.<p>Those pieces of news articles, papers, etc. are transformed into a vector embedding that represents the semantic meaning of the information. These vector representations are organized into indexes where we can quickly search for the pieces of information that most closely resembles (from a semantic perspective) a given question or query. For example, if I take news articles from this year, vectorize them, and add them to an index, I can quickly search for pieces of information about the US elections.<p>To help achieve this, the Neum AI framework features:<p>Starting with built-in data connectors for common data sources, embedding services and vector stores, the framework provides modularity to build data pipelines to your specification.<p>The connectors support pre-processing capabilities to define loading, chunking and selecting strategies to optimize content to be embedded. This also includes extracting metadata that is going to be associated to a given vector.<p>The generated pipelines support large scale jobs through a high throughput distributed architecture. The connectors allow you to parallelize tasks like downloading documents, processing them, generating embedding and ingesting data into the vector DB.<p>For data sources that might be continuously changing, the framework supports data scheduling and synchronization. This includes delta syncs where only new data is pulled.<p>Once data is transformed into a vector database, the framework supports querying of the data including hybrid search using the available metadata added during pre-processing. As part of the querying process, the framework provides capabilities to capture feedback on retrieved data as well as run evaluations against different pipeline configurations.<p>Try it out and if interested in chatting more about this shoot us an email founders@tryneum.com
Show HN: New visual language for teaching kids to code
Pickcode is a new language and editor for getting kids started with coding. The code editing experience is totally structured, where you select choices from menus rather than typing.
I made Pickcode after experiences teaching kids both block coding (Scratch, App Inventor) and Python. To me, block coding is too far removed from regular coding for kids to make the connection. Pickcode provides a much clearer transition path for students to Python/JS/Java. Our target market is middle/early high school kids, and that’s who we’ve tested the product with during development.<p>On the site, you can do tutorials to make chatbots, animated drawings, and 2D games. We have a full Intro to Pickcode course, as well as an Intro to Python course where you make regular console programs with a regular text editor. There are 30 or so free lessons accessible with an account, and the rest are paywalled for $5/month.<p>For professional programmers, the editor is probably pretty frustrating to use (no vim keybindings!), but I hope it’s at least interesting to play with from a UI perspective. If you have kids aged 10-14, I’d love any feedback you have from trying it out with them. I love talking to users, reach out at charlie@pickcode.io!
Show HN: New visual language for teaching kids to code
Pickcode is a new language and editor for getting kids started with coding. The code editing experience is totally structured, where you select choices from menus rather than typing.
I made Pickcode after experiences teaching kids both block coding (Scratch, App Inventor) and Python. To me, block coding is too far removed from regular coding for kids to make the connection. Pickcode provides a much clearer transition path for students to Python/JS/Java. Our target market is middle/early high school kids, and that’s who we’ve tested the product with during development.<p>On the site, you can do tutorials to make chatbots, animated drawings, and 2D games. We have a full Intro to Pickcode course, as well as an Intro to Python course where you make regular console programs with a regular text editor. There are 30 or so free lessons accessible with an account, and the rest are paywalled for $5/month.<p>For professional programmers, the editor is probably pretty frustrating to use (no vim keybindings!), but I hope it’s at least interesting to play with from a UI perspective. If you have kids aged 10-14, I’d love any feedback you have from trying it out with them. I love talking to users, reach out at charlie@pickcode.io!
Show HN: New visual language for teaching kids to code
Pickcode is a new language and editor for getting kids started with coding. The code editing experience is totally structured, where you select choices from menus rather than typing.
I made Pickcode after experiences teaching kids both block coding (Scratch, App Inventor) and Python. To me, block coding is too far removed from regular coding for kids to make the connection. Pickcode provides a much clearer transition path for students to Python/JS/Java. Our target market is middle/early high school kids, and that’s who we’ve tested the product with during development.<p>On the site, you can do tutorials to make chatbots, animated drawings, and 2D games. We have a full Intro to Pickcode course, as well as an Intro to Python course where you make regular console programs with a regular text editor. There are 30 or so free lessons accessible with an account, and the rest are paywalled for $5/month.<p>For professional programmers, the editor is probably pretty frustrating to use (no vim keybindings!), but I hope it’s at least interesting to play with from a UI perspective. If you have kids aged 10-14, I’d love any feedback you have from trying it out with them. I love talking to users, reach out at charlie@pickcode.io!
Show HN: New visual language for teaching kids to code
Pickcode is a new language and editor for getting kids started with coding. The code editing experience is totally structured, where you select choices from menus rather than typing.
I made Pickcode after experiences teaching kids both block coding (Scratch, App Inventor) and Python. To me, block coding is too far removed from regular coding for kids to make the connection. Pickcode provides a much clearer transition path for students to Python/JS/Java. Our target market is middle/early high school kids, and that’s who we’ve tested the product with during development.<p>On the site, you can do tutorials to make chatbots, animated drawings, and 2D games. We have a full Intro to Pickcode course, as well as an Intro to Python course where you make regular console programs with a regular text editor. There are 30 or so free lessons accessible with an account, and the rest are paywalled for $5/month.<p>For professional programmers, the editor is probably pretty frustrating to use (no vim keybindings!), but I hope it’s at least interesting to play with from a UI perspective. If you have kids aged 10-14, I’d love any feedback you have from trying it out with them. I love talking to users, reach out at charlie@pickcode.io!
Show HN: Hotlist, a Tauri powered daily todo list for your Mac menu bar
Show HN: Ending the Absurdity of SSO Tax – Introducing ssotax.org
Ever heard of the SSO Tax? In short, it's a tactic where software vendors bully security-conscious companies to upgrade to costly enterprise plans. They do this by gating SSO (Single Sign-On) features behind their priciest options, causing companies to pay up to 70 times their standard rates.<p>As a former CTO at a VC-backed and security-conscious company, I've faced the tough choice of skipping costly enterprise upgrades, even when SSO was crucial.<p>Take a look at Notion: to access SSO, they casually double their standard pricing.<p>Imagine buying a Tesla and being charged extra to unlock full braking power. That's what SSO Tax is - vendors exploiting a built-in feature, essential for security, to extract excessive fees.<p>So, why initiate a new project?<p>Rob Chahin's work on sso.tax initially highlighted this issue. However, the site's updates dwindled, and data became outdated. Despite offering assistance, I received no response, leading to the creation of <a href="https://ssotax.org" rel="nofollow noreferrer">https://ssotax.org</a>. While there has been short spike of activity post-fork, it already stopped again. That’s what we’ve seen often in the last few years. Instead, I want to give the topic the attention it deserves.<p>In addition of integrating all pending PRs and enriching the data, I’ve introduced a new feature: "Friends of SSO". We should not only call out unfair practices but also praise vendors who are committed to security!<p>Furthermore, I’d love to raise awareness about vendor practices by utilizing Twitter and Linkedin to publicly praise or critique them. The goal is to get attention for the topic, ideally sparking conversation with the vendors involved.<p>What are your thoughts on getting rid of the SSO Tax? Excited to hear your ideas!
SHOW HN:A New 34B Open Source LLM, Astonishing 78 Score in MMLU (GPT-4 MMLU:83)
Show HN: AI Proxy with Support for OpenAI, Anthropic, LLaMa2, Mistral
Show HN: AI Proxy with Support for OpenAI, Anthropic, LLaMa2, Mistral
Show HN: Bemi – data versioning and time travel for PostgreSQL
Hi HN, we’re Evgeny, Arjun, and Donna - the builders of Bemi (<a href="https://bemi.io" rel="nofollow noreferrer">https://bemi.io</a>). Bemi is an enhancement of your existing transactional database to unlock time travel querying. We enable engineers to track all PostgreSQL state changes.<p>We used to all work together at a startup five years ago, and now have got the gang back together to work on Bemi!<p>Many open-source libraries already track data changes, but they’re not reliable since they don’t track changes made outside ORMs with direct SQL queries. Additionally, they come with runtime performance overhead since they’re making database inserts in callbacks. We’ve also consistently seen hacks that engineers write on top of the libraries to store additional context or make it easier for them to query.<p>There are databases already available for event sourcing, but we take a fundamentally different approach. We don’t want engineers to have to rearchitect their existing code, switch to highly specialized databases, or use unnecessary git-like abstractions. We want your system to work the way it already does with your existing database to allow keeping things as simple as possible.<p>Bemi uses change data capture (CDC) by connecting to a built-in replication log of a database, ingesting all changes on the database level, and storing them in a structured format in a destination database. The database connection details can be securely configured through our dashboard UI in a few seconds.<p>People also try adding database triggers to track low-level data change. The main difference is that Bemi integrates not just on the database level, but also on the application level with packages in the most popular frameworks (being released soon) and a Bemi worker automatically stitches application metadata with the lower-level change data to get the “where” (API endpoint, worker, and so on) and “who” (user, cron job, and so on) behind a change. This allows being able to revert all data changes made within an API request, for example.<p>For the sake of transparency, we intend to make money by implementing usage-based pricing and a multi-cloud hosted option. Bemi’s free for early adopters. We are still early though and would love your feedback. What do you think HN?
Awesome Engineering Games
I've spent way too much time both playing and finding engineering-focused games, and haven't been able to find very detailed or comprehensive lists online. So I made one :)<p>These games are both fun and often quite educational, presenting gamified versions of real-world challenges and professions.<p>There's a lot of different sub-genres of "engineering game", such as:<p>* Factory automation (Factorio, Dyson Sphere Program)<p>* City builders (Cities: Skylines, Anno series)<p>* Route-builders (Mini Motorways, Railway Empire)<p>* Comp sci (TIS-100, Bitburner)<p>All games on the list are very highly reviewed. I've played most (but not all) of them, and provided personal recommendations alongside the reviews. Many of them are also playable on GeForce Now (if you don't have a gaming PC).<p>Please contribute if you know of more, or have any comments/suggestions!
Show HN: YouTube banned adblockers so I built an extension to skip their ads
Hi HN!<p>Since Youtube no longer allows AdBlockers, I built my own extension to get around their video ads. If there is an ad it temporarily manipulates the video; Mutes the volume, sets speed to 10x, and skips it if there is a button.<p>Chrome Webstore link: <a href="https://chromewebstore.google.com/detail/ad-accelerator/gpboiedfklodfhngobidfjecdpmccehg?hl=en" rel="nofollow noreferrer">https://chromewebstore.google.com/detail/ad-accelerator/gpbo...</a><p>Code: <a href="https://github.com/rkk3/ad-accelerator">https://github.com/rkk3/ad-accelerator</a>
Show HN: YouTube banned adblockers so I built an extension to skip their ads
Hi HN!<p>Since Youtube no longer allows AdBlockers, I built my own extension to get around their video ads. If there is an ad it temporarily manipulates the video; Mutes the volume, sets speed to 10x, and skips it if there is a button.<p>Chrome Webstore link: <a href="https://chromewebstore.google.com/detail/ad-accelerator/gpboiedfklodfhngobidfjecdpmccehg?hl=en" rel="nofollow noreferrer">https://chromewebstore.google.com/detail/ad-accelerator/gpbo...</a><p>Code: <a href="https://github.com/rkk3/ad-accelerator">https://github.com/rkk3/ad-accelerator</a>
Show HN: Grigora.co – A Blogger's Answer to Secure, Simple Web Building
Hello HN,<p>I'm Karan, and after a hack wiped out my blog and revenue ($15-20k/month), I was propelled to create Grigora.co. Our beta platform is designed to be a secure, straightforward alternative to WordPress, addressing the pain points I faced as a blogger.<p>With 165 users exploring Grigora and zero paid customers so far, we're eager to evolve. We invite the HN community to test Grigora.co, share feedback, and join us in this mission to streamline web security and functionality.<p>Looking forward to your insights,
Karan
Show HN: Grigora.co – A Blogger's Answer to Secure, Simple Web Building
Hello HN,<p>I'm Karan, and after a hack wiped out my blog and revenue ($15-20k/month), I was propelled to create Grigora.co. Our beta platform is designed to be a secure, straightforward alternative to WordPress, addressing the pain points I faced as a blogger.<p>With 165 users exploring Grigora and zero paid customers so far, we're eager to evolve. We invite the HN community to test Grigora.co, share feedback, and join us in this mission to streamline web security and functionality.<p>Looking forward to your insights,
Karan
Show HN: Etcha – Infinite scale, serverless config management
While developing a SaaS, we needed a way to distribute configurations across a wide array machines in a distributed manner. We built Etcha as a way to build and run servers and applications using familiar Jsonnet and GitOps workflows--lint, test, build, and release.