Show HN: BubbleTea – The Slack-native collaboration suite for the Enterprise https://ift.tt/2yfkRQ9

Show HN: BubbleTea – The Slack-native collaboration suite for the Enterprise This problem domain is somewhat old, but I hope to bring a refreshing idea to the existing problem. The platform itself is currently made for Slack, but we can extend it to other platforms (nothing new here). Problems we are trying to solve: 1. Too many Slack apps out there. - 10 Slack apps come with 10 different disjointed experiences. - 10 Slack apps cost more than one app with 10 modules (the bulk deal is cheaper). - 10 Slack apps come with 10 times more attack surfaces. It only takes one app to fail and put your entire organization at risk. 2. Your data should be encrypted at all times. - Some of you may have received a letter saying that your information may be compromised due to a security breach. - We encrypt data using AES and manage the master key with KMS. - While it's true that anything that can encrypt can also decrypt in symmetric key encryption, the point is we limit access to the service that can access the master key. Our support won't be able to peek at your data. There will be no accidental database dump. 3. Centralized configurations for management. 4. Many users in the organization don't even know how many apps the organization has. - The app can promote itself but also let users decide to turn this off. - Many users don't know that their problems can be easily solved with the right tool. We just have to reach out to them. BubbleTea is a shell. It has multiple modules inside that can be toggled on and off. BubbleTea also gamifies user activities to increase engagement. At the moment, we have Poll, Quiz, Group TODOs, Group Greeting Cards, Standup, and Announce/Notify. https://bubbletea.cloud November 9, 2023 at 01:22AM

Show HN: UptimeFunk, Because the World Needs Another Uptime Monitoring Service https://ift.tt/nWHoMCO

Show HN: UptimeFunk, Because the World Needs Another Uptime Monitoring Service A few months ago, i was looking for a simple uptime monitor service to monitor my websites, but i wanted some extra features that i couldn't find anywhere. These aren't wild features, but oddly enough couldn't find a service that was easy to setup, cheap, and that could do simple uptime mointoring for databases (sql & mongodb), docker containers, rabbitmq queues and os memory/cpu. It's only when i was almost done that i realized uptime monitoring services had become something of mania in the indiehacker/solopreneur world. Anyways, hoping it can provide value to some of you. https://uptimefunk.com Would love some Feedback! https://uptimefunk.com/ November 8, 2023 at 08:50PM

Show HN: Roboco-op, a computational blackboard for efficient human/AI collab https://ift.tt/RCqGscU

Show HN: Roboco-op, a computational blackboard for efficient human/AI collab https://ift.tt/kq63ZW4 November 8, 2023 at 03:37AM

Show HN: OpsCanvas – Diagram-based cloud native deployments https://ift.tt/OsAL9lG

Show HN: OpsCanvas – Diagram-based cloud native deployments We just finished the first version of a cloud native deployment tool called OpsCanvas. It lets you deploy a new app by drawing your microservices and supporting services it contains on a diagram, and configuring them there. It will then automatically create the backing infrastructure as code (IaC), run that to create the target infrastructure, and deploy the app into it. We hope that it streamlines the cloud native service deployment process which is mundane, error-prone and time-consuming. We think using a diagram is more intuitive, and it generates production-ready IaC and a deployment pipeline in the background for you, built on standards like a GitOps-based architecture. Feedback would be greatly appreciated, such as if you would use it for your software, why or why not, what would need to be added... really any thoughts would be valued! Additional details... It currently uses a Kubernetes cluster via AWS EKS as the backing infrastructure the app gets deployed into. We have plans for many other options. It is early days! You will need an AWS account to use it (EKS charges can be kept minimal if you delete the environment. We have it defaulted to delete itself after 3 hours for now). Check it out at https://ift.tt/DLVathz , Here are the docs and basic tutorial. There are also some short videos inside the app, https://ift.tt/GWpJYXx... Thanks again for any feedback! https://ift.tt/3XLzV4b November 8, 2023 at 03:37AM

Show HN: Unreal Engine 4 WASM space game https://ift.tt/V5zsEl2

Show HN: Unreal Engine 4 WASM space game Note that the demo may take up to 30 seconds to load, and initially present a white screen. I can assure you - it's worth the wait! https://ift.tt/pRI9izE November 8, 2023 at 01:22AM

Show HN: Inshellisense – IDE style shell autocomplete https://ift.tt/GutUpa5

Show HN: Inshellisense – IDE style shell autocomplete I built this terminal native runtime for Fig's autocomplete to support Windows and Linux. Would appreciate any feedback on it! https://ift.tt/hKAvQPS November 7, 2023 at 12:45AM

Show HN: Open-source model and scorecard for measuring hallucinations in LLMs https://ift.tt/56D4Jdg

Show HN: Open-source model and scorecard for measuring hallucinations in LLMs Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and some specific examples of these summarization hallucinations), and a GitHub repository containing our evaluation from the most popular generative LLMs available today. Links to all of them are referenced in the blog here, but for the technical audience here, the most interesting additional links might be: - https://ift.tt/ftXezvk... - https://ift.tt/DZBHQzL We hope that releasing these under a truly open source license and detailing the methodology, we hope to increase the viability of anyone really quantitatively measuring and improving the generative LLMs they're publishing. https://ift.tt/YK6HtMZ November 7, 2023 at 12:41AM