Show HN: LibreScroll – enable flywheel-scrolling on any generic mouse https://bit.ly/3Y2ZXGh

Show HN: LibreScroll – enable flywheel-scrolling on any generic mouse Based on the framerate-independent momentum simulation[0] that I used in my TPMouse script[1] If you've ever used a mouse with Infinite-scrollwheel such as Logitech, this utility for Windows basically recreates that functionality for any generic mouse. Actually, it's even better than that: this allows for simultaneous horizontal and vertical scrolling, so essentially it combines two of the best features of the Logitech MX Master -- horizontal wheel, and unlocked momentum scrolling -- into one intuitive control scheme. To enable horizontal scrolling, set the X-sensitivity to a value you prefer. [0] https://bit.ly/3Y18HNa... [1] https://bit.ly/3SsrjkW https://bit.ly/3XXzEkZ July 19, 2023 at 10:36AM

Show HN: Open Video Game Data: A new approach to evaluating games https://bit.ly/3K679f0

Show HN: Open Video Game Data: A new approach to evaluating games > Introduction Our idea is to offer an alternative to well-known sites like Metacritic and OpenCritic, but with a different approach. Instead of being a score aggregator, we will be a list aggregator. Metacritic brings together reviews from multiple review sites in one place, providing a final score of 0-100 based on a weighted arithmetic average, where some critics carry more weight than others. An alternative to Metacritic is OpenCritic, where all critics are weighted equally in the final average. However, both still work with numeric scores. > Why relying on scores can be problematic? - Ratings only reflect the state of the game at launch Today, more than ever, games are constantly evolving. It is common to have "patch day one", that is, games released with bugs and incomplete content. However, with time and help from the community, these games can be improved, as was the case with No Man's Sky. When No Man's Sky was released in 2016, its average on Metacritic was just 61, due to the troubled release. However, over the years, the game has evolved significantly with updates, but its Metacritic score remains frozen at 61. Alternative: As the lists are constantly evolving and updating, they more accurately reflect the current quality of the games, tracking their improvements and changes over time. - The average score can be unfair as it is based on the amount of critics Sometimes, the amount of crits heavily influences a game's rating. An example of this is The Legend of Zelda: Ocarina of Time, with an average of 99 on Metacritic, based on 22 critics. While The Legend of Zelda: Breath of the Wild averages a 97, based on 109 critics. Getting a high average based on a large number of critics is extremely difficult, and this can influence the overall perception of a game. Alternative: When a final list is created, all games have an equal chance of appearing in different lists. For example, game A might be included in 3 out of 11 lists, while game B might be mentioned in 5 out of 11 lists. The total amount of lists will always be the same for all games. - Relying on an average can be inaccurate Metacritic converts the different rating scales of review sites into a single percentage-based quantitative scale. However, this conversion can be inaccurate and unfair, as each site uses different rating systems. This approach can result in important information being lost during conversion, affecting the accuracy of the final result. Alternative: With our ranked lists approach, we eliminate the need to convert rating systems, as all lists, regardless of site, follow the same common logic. In all lists, there will always be first place, second place, and so on. > A great alternative: *Open Video Game Data* Our site aims to be just another alternative to note-based sites. Our approach to aggregating lists allows users to have a more comprehensive and up-to-date view of games as these lists are constantly updated by the community. The calculation method is quite simple and transparent. All lists on the site have a maximum size of 15 games. When a game ranks first in a list, it is rewarded with 15 points, while if it ranks last, it only receives 1 point. > Conclusion Open Video Game Data seeks to provide gamers and game enthusiasts with a reliable tool to make informed decisions about which games to play, taking into account critics' opinions and the ongoing evolution of the gaming industry. With the active participation of the community, users can add critic lists and can also create personal lists that are also aggregated, we hope to build an inclusive and reference platform for the gaming community, promoting a more complete and updated analysis about the games that so much we love. Come be part of our community! Create an account and join us to explore the world of playlists. Welcome to Open Video Game Data! Visit us at: https://bit.ly/44AxY38 July 21, 2023 at 01:26AM

Show HN: A fine-tuned Stable Diffusion model for generating Minecraft skins https://bit.ly/3O0fKkK

Show HN: A fine-tuned Stable Diffusion model for generating Minecraft skins https://bit.ly/44z4EKu July 20, 2023 at 11:40PM

Show HN: RAGstack – private ChatGPT for enterprise VPCs, built with Llama 2 https://bit.ly/44UFGoO

Show HN: RAGstack – private ChatGPT for enterprise VPCs, built with Llama 2 Hey hacker news, We’re the cofounders at Psychic.dev ( https://bit.ly/3O8lVDs ) where we help companies connect LLMs to private data. With the launch of Llama 2, we think it’s finally viable to self-host an internal application that’s on-par with ChatGPT, so we did exactly that and made it an open source project. We also included a vector DB and API server so you can upload files and connect Llama 2 to your own data. The RAG in RAGstack stands for Retrieval Augmented Generation, a technique where the capabilities of a large language model (LLM) are augmented by retrieving information from other systems and inserting them into the LLM’s context window via a prompt. This gives LLMs information beyond what was provided in their training data, which is necessary for almost every enterprise application. Examples include data from current web pages, data from SaaS apps like Confluence or Salesforce, and data from documents like sales contracts and PDFs. RAG works better than fine-tuning the model because it’s cheaper, it’s faster, and it’s more reliable since the provenance of information is attached to each response. While there are quite quite a few “chat with your data” apps at this point, most have external dependencies to APIs like OpenAI or Pinecone. RAGstack, on the other hand, only has open-source dependencies and lets you run the entire stack locally or on your cloud provider. This includes: - Containerizing LLMs like Falcon, Llama2, and GPT4all with Truss - Vector search with Qdrant. - File parsing and ingestion with Langchain, PyMuPDF, and Unstructured.io - Cloud deployment with Terraform If you want to dive into it yourself, we also published a couple of tutorials on how to deploy open source LLMs for your organization, and optionally give it access to internal documents without any data ever leaving your VPC. - How to deploy Llama 2 to Google Cloud (GCP): https://bit.ly/44BBESu... - How to connect Llama 2 to your own data using RAGstack: https://bit.ly/44zzBy5... Let a thousand private corporate oracles bloom! https://bit.ly/3rtwglu July 20, 2023 at 06:11PM

Show HN: Keeper – GPLv3 app to store your personal info based on YAML templates https://bit.ly/44UEIIU

Show HN: Keeper – GPLv3 app to store your personal info based on YAML templates Keeper is a command line GPLv3 application, programmed in Go, designed to privately store your personal info using custom formats described in YAML templates. Using Sqlite as the backend. https://bit.ly/3OiHJNL July 20, 2023 at 08:23AM

Show HN: I built a 'newspaper' that summarizes current events with GPT https://bit.ly/3DoxRM4

Show HN: I built a 'newspaper' that summarizes current events with GPT Hi HN! I built a proof of concept 'newspaper' that creates short news articles of today's current events with GPT. This is a very rough proof of concept but I can't help but think this concept is the future. I think we'll all have AI daily newspapers in whatever theme we want, covering any amount of information we want, with the ability to expand or contract article length instantly. Sharing just to get everyone thinking about this future. Thanks for reading! https://bit.ly/3DmWzfP July 20, 2023 at 11:29AM

Show HN: PDF Differ https://bit.ly/3DmRTXu

Show HN: PDF Differ https://bit.ly/3DlGRBJ July 20, 2023 at 11:46AM

Show HN: Scenic – explore and find interesting places along a route using GPT4 https://bit.ly/3Q0IOLl

Show HN: Scenic – explore and find interesting places along a route using GPT4 Hi HN, Made a small app because I found myself doing this manually quite a few times using GPT-4. You put in where you're starting and where you're going, and what kind of places you want to see along the way, and it'll find places and identify a reasonable(ish) path. It's very simple but it has some nice features (e.g. you can get a Google Maps link). The place features you search for can be basically anything and can be as opinionated as you'd like. This is just for fun, but please let me know if you have any suggestions! https://bit.ly/3K101Ar July 19, 2023 at 07:08PM

Show HN: Infisical – open-source secret management platform https://bit.ly/46XswZW

Show HN: Infisical – open-source secret management platform Hi HN, we’re the founders of Infisical, the open source secret management platform – it provides an end-to-end set of tools to manage your secrets across your team and infrastructure ( https://bit.ly/3G4HVMD ). Excited to show you all the progress that we’ve made in the past few months after our Launch HN in February ( https://bit.ly/3Dks2zj ) and Show HN in December ( https://bit.ly/3Wa8AND ). During the previous Show HN and Launch HN, we received a ton of feedback which helped us improve Infisical. We’ve since released: - Secret scanning: a new toolset to block commits with hardcoded secrets and continuously monitor your code. - Folders: Deeper organizational structure within projects to accommodate for microservice architectures and storage of more secret types like user API keys and OAuth tokens. - Node and Python SDKs, Webhooks: More ways to integrate and start syncing secrets with Infisical across your infrastructure. - Integrations with Terraform, Supabase, Railway, Checkly, Cloudflare Pages, Azure Key Vault, Laravel Forge, and more. - Secret Referencing and Importing: to create a proper single source of truth. - 1-click deployments to AWS EC2, Digital Ocean, Render, [Fly.io]( https://bit.ly/44x117U ): More ways to self-host Infisical on your own infrastructure. In addition, the platform has become more stable and undergone a full-coverage penetration test; we’ve also begun the SOC 2 (Type II) certification process. Overall, we’re really lucky to have support of the developer community, and, in fact, Infisical has gathered over 7k GitHub stars, and now processes over 200 million secrets per month for everyone from solo developers to public enterprises. Our repo is published under the MIT license so any developer can use Infisical. Again, the goal is to not charge individual developers. We make money by charging a license fee for some enterprise features as well as providing a hosted version and support. Check out Infisical Cloud ( https://bit.ly/3G4HVMD ) or self-host Infisical on your own infrastructure ( https://bit.ly/3G4HZMn ). We’d love to hear what you think! We’re excited to continue building Infisical, and keep shipping features for you. Please let us know if you have any thoughts, feedback, or feature suggestions! https://bit.ly/3G4HVMD July 19, 2023 at 04:40PM

Show HN: Efficient intermediate data sharing for Kedro pipelines https://bit.ly/3OmveRx

Show HN: Efficient intermediate data sharing for Kedro pipelines Data processing pipelines are becoming increasingly complex, and intermediate data sharing is becoming the bottleneck, especially for data-intensive analytics and data preprocessing in machine learning and AI. This blog shows the possibility of efficient data sharing in data science pipelines, which naturally fits the settings of Kubernetes. It demonstrates how existing codebases can benefit from it without requiring an overhaul of the engineering effort. https://bit.ly/3DlW8CM July 19, 2023 at 10:53AM

Show HN: Hash functions from C++ running in WebAssembly https://bit.ly/3q2WyKW

Show HN: Hash functions from C++ running in WebAssembly https://bit.ly/43rDeEY July 19, 2023 at 11:56AM

Show HN: I created a platform to rally my community https://bit.ly/3K5gGmq

Show HN: I created a platform to rally my community https://bit.ly/46SQdm5 July 19, 2023 at 07:14AM

Show HN: ProseMirror.Net https://bit.ly/43F4Jv2

Show HN: ProseMirror.Net We've released a translation of the core ProseMirror projects to C#! Currently we are utilizing this library in our DotNet backend to map collab edits and verify schema compliance for client submitted steps. It's not a focus of ours, but it will be interesting to see how this might get used on platforms C# runs on natively; like IOS or Android.. https://bit.ly/46S91BV July 19, 2023 at 12:48AM

Show HN: Site that lets you pay me if you don't walk your talk https://bit.ly/3JZc15O

Show HN: Site that lets you pay me if you don't walk your talk I built a web app that lets you share your goals publicly, together with a pledged amount. If you achieve your goal, great! Else, you pay the pledged amount as a fine to me. Sounds goofy, but I hope it provides the extra reason for you to keep going when the going gets tough! https://bit.ly/3K4gdRF July 19, 2023 at 03:54AM

Show HN: Logwise – AI Powered Log Analysis with context from all your apps https://bit.ly/3Dijhpp

Show HN: Logwise – AI Powered Log Analysis with context from all your apps Hey HN! We're excited to introduce Logwise, our new AI-powered log analysis tool. (built by two devs who hate logs) Product page: https://bit.ly/46RUrKF Logwise makes debugging and incident response faster for developers. It uses natural language processing to automatically parse log data, surface insights, and detect anomalies. We built Logwise to eliminate the manual sifting of log analysis. Key features: - Search logs in plain English - no complex queries needed - Auto-generated alerts highlight potential issues - Contextual debugging advice speeds incident response - Centralized access to all your log data sources - Continuous learning improves analysis over time Logwise saves developers hours or even days wasted on manual log searches. We want to help resolve incidents 2x faster with accelerated insights Reduce context switching by aggregating all log data Let developers focus on building, not log mining Get ahead of problems with predictive anomaly detection We're currently working on: Customizable log parsing for different data formats Integrations with PagerDuty, Datadog, and other tools An API for accessing analysis results Try out the Logwise beta today! We'd love your feedback on how we can improve. Let us know if you have any feature requests. Our goal is to make AI-powered log analysis seamless and maximize developer productivity. Thanks for any feedback and support! https://bit.ly/46RUrKF July 18, 2023 at 05:49PM

Show HN: Mute Google Meet with Anything Connected to Home Assistant https://bit.ly/3OmxgBa

Show HN: Mute Google Meet with Anything Connected to Home Assistant https://bit.ly/46X6l5W July 18, 2023 at 05:29PM

Show HN: Weaviate – Build your own generative health search engine https://bit.ly/46OiU3H

Show HN: Weaviate – Build your own generative health search engine We are super excited to release our latest open-source demo, Healthsearch. This demo decodes user reviews of supplements and performs semantic- and generative search on them, retrieving the most related products for specific health effects, and leveraging Large Language Models to generate product and review summaries. The demo can understand natural language queries and derive all search filters directly from the context of your query. https://bit.ly/477lPoj July 18, 2023 at 04:30PM

Show HN: Listen to Paul Graham's Essays on Spotify and Apple https://bit.ly/3pTo2Tn

Show HN: Listen to Paul Graham's Essays on Spotify and Apple Link for Apple: https://apple.co/46M4qRE https://spoti.fi/3Y0qrsa July 18, 2023 at 03:53PM

Show HN: Nring.info – An overview of Nürburgring info that we were missing https://bit.ly/3NWc2sm

Show HN: Nring.info – An overview of Nürburgring info that we were missing When we wanted to visit the Nurburgring, my friend and I searched for a good source with all information about it in one spot. Things like the best spots to view cars driving the Nordschleife track, where to rent cars or book taxi laps and other info. Turns out there didn't seem to be one clear and up-to-date source for all of this information. Many web sites were either dated, unclear os sometimes down right wrong. So we created the website we were missing and are launching it today: https://bit.ly/3pYgL4z Currently it contains an overview of all available ring taxis and rental companies, all the different corners, their locations and descriptions and some interesting or useful POIs all on a mobile friendly interactive map[0]. It is still a work in progress and we will be adding things like walking routes to great vantage points and more thorough explanations of the (financial) risks of driving the ring. One thing we were also missing was a way to view the track status online, since the official site doesn't seem to provide this. The only way to know whether the track is closed is to view a large sign near the entrance, which is very inconvenient when you're watching on the other side of the track and cars suddenly stop coming. There are Whatsapp groups that provide this info, but they're hard to find for a regular visitor. So we also solved this issue, by providing near real-time track status[1] info using OpenCV on their public webcam feed. The site was built using Strapi CMS and 11ty with the dynamic parts implemented through Netlify Cloud functions, Firebase and PHP. 0: https://bit.ly/3NZURWE 1: https://bit.ly/46QY9US https://bit.ly/3Oj9HsE July 18, 2023 at 10:55AM

Show HN: Comments Owl for Hacker News 2.0 – now for Safari and mobile https://bit.ly/3XUYSjM

Show HN: Comments Owl for Hacker News 2.0 – now for Safari and mobile Hacker News has one of the designs of all time - I initially made this extension because I wanted to be able to follow comment threads across multiple visits _without_ searching for "hour(s) ago" and "minutes ago", while preserving the UI we all know. This major release adds a Safari version (it can also be installed on Kiwi Browser or Firefox Beta on Android) and mobile support for the first time, with specific UX tweaks for the mobile breakpoint version, such as being able make list screen flagging require confirmation, improving the header somewhat and increasing the distance between the upvote and downvote buttons. Since its first Show HN 4 years ago, it now also has user management features - you can add notes to other users which will be displayed next to their comments, and you can also mute people if you feel the need to. If you have any other feature requests or UX issues with HN you'd like fixed, please submit them on GitHub! https://bit.ly/44Tp7cN July 18, 2023 at 11:49AM