20 Reasons Why Nonprofits Should Hire ConsultantsNonprofit organizations often operate with limited resources and high expectations. Efficiency and expertise are crucial in this type of environment, which is why a consultant can be an excellent ...
Confidential GPUs for AI are the future of secure computingEfficiency and innovation are often touted as hallmark attributes of generative AI. But as more enterprise businesses look to integrate the technology into their workflows, confidentiality — in data ...
How Mastercard Uses AI Strategically: A Case StudyIn the ever-evolving landscape of financial technology, Mastercard stands out as a pioneering force in leveraging artificial intelligence (AI) to drive innovation and operational efficiency. This case ...
Moz Introduces State-of-the-Art SEO Advancements at MozCon 2024Harnessing AI Capabilities for Effortless Efficiency; and Improving Discoverability to Unleash the Power of Data A focus on modernizing Moz's tools was also clear today with a completely revitalized ...
Ask HN: Security Analysts, do you have positive experiences of cybersecurity AI?To all Security Analysts/Engineers (and likeminded folks) out there, do you have any positive experiences about cybersecurity AI products such as Microsoft Copilot for Security? Have they actually increased your productivity, increased the quality of your work or decreased the amount of time it takes to analyze security incidents?Background: I am a L2 analyst/security engineer at an MSSP and our management is tripling down on technology driven-AI by heavily focusing on technologies such as Microsoft XDR with Copilot for Security, among others. We do not have an "in-house AI" and we just use/configure third party tools, while simultaneously streamline internal detection engineering by re-allocating the resources to do consulting rather than work on improving the threat detection capabilities. We have hired a new "AI team" who so far have done absolutely nothing to improve the quality or the efficiency of the work we do at the ground-level. Nonetheless, the management sees their achievem
Show HN: Attorch – PyTorch's nn module written in Python using OpenAI's Tritonattorch is a subset of PyTorch's nn module, written purely in Python using OpenAI's Triton. Its goal is to be an easily hackable, self-contained, and readable collection of neural network modules whilst maintaining or improving upon the efficiency of PyTorch. In other words, it intends to be a forkable project endowed with a simple, intuitive design that can serve as an accessible starting point for those who are seeking to develop custom deep learning operations but are not satisfied with the speed of a pure PyTorch implementation and do not have the technical expertise or resources to write CUDA kernels.There already exist a number of wonderful PyTorch-like frameworks powered by Triton, but most concentrate solely on Transformers and NLP applications, whereas attorch aims to be more inclusive by also presenting a variety of layers pertaining to areas besides NLP such as computer vision. Moreover, attorch is not an inference-only package and fully supports both forward and backward pa
Show HN: Effortless App Publishing with Reusable React Native TemplateHey HN Community,I'd like to share a project created from my own need for simplicity and efficiency in mobile deployment: a free and reusable React Native CLI Template designed to streamline the deployment process to the AppStores.Minimalism is at its core, focused on the deployment itself, this Template will help you with:- Multi-environment Support: Separate (dev, stage, and prod) environments and all apps installed on your device simultaneously, making testing and iteration much easier,- Environment-Specific Configuration: By integrating react-native-config, the app's behavior is adapted to its running environment and is as straightforward as providing the proper values (in .env or the environment itself),- Simplified Deployment: Creating the apps in Apple Developer + AppStore Connect, managing Code Signing Certificates + Provisioning Profiles and automated deployment – everything's included with a simple Fastlane integration, which makes deploying to both Apple AppStore and Google
Show HN: CazuApp, a flutter-based delivery app for small businessesHi HackerNews community!We're thrilled to announce a major milestone for CazuApp – the release of version 1.0! This marks a significant stride in our ongoing mission to revolutionize accessibility and efficiency in delivery services. Faced with challenges in existing delivery systems, which were often inflexible, expensive, slow, and non-scalable, we developed CazuApp using Flutter – a robust, cross-platform solution.CazuApp is now available under the permissive BSD-3 license, embodying our commitment to addressing persistent issues in delivery services. Leveraging the latest Flutter version ensures seamless cross-platform compatibility on both iOS and Android. Our tech stack includes Express.js and Sequelize to support various SQL engines, providing a solid foundation for the platform.We're eager to hear your thoughts, ideas, and requests. While we can't guarantee the implementation of every idea, we're dedicated to doing our best to meet users' needs. It's important to note that, as
Light Sleep has a rich built-in sound library, which includes various soundsLight Sleep has a rich built-in sound library, which includes various sounds from life and nature, such as raindrops hitting the window, birds chirping, waves lapping on the shore, etc. These sounds can not only make people feel the beauty of nature, but also effectively reduce the noisy sounds in urban life. Users can choose different scenes and sounds to use according to their own needs. For example, for users who need to relax and sleep, they can choose soft sounds and warm background music to help them enter a deep sleep state. For users who need to stay focused, they can choose rhythmic and dynamic music to help them improve work efficiency and learning outcomes.AppStore: https://apps.apple.com/us/app/light-sleep-relax-and-sleep/id6449638248promo codeLFN6NLPFEAAN PWEKYP6MKX4X YW4XK6JMFTW6 PW9X4HX7PNRW MNEP7PEWXE73 M9PHXAY4W6HA M6WRE4PENMTF RHM7LH4LKJW3 Y6E4MHHM7HYM
Show HN: Fast vector similarity using Rust and PythonI recently found myself computing the similarity between lots of very high dimensional vectors (i.e., sentence embedding vectors from LLMs), and I wanted to try some more powerful measures of similarity/dependency than just Cosine similarity, which seems to be the default for everything nowadays because of its computational efficiency.There are many other more involved measures that can detect more subtle relationships, but the problem is that some of them are quite slow to compute, especially if you're trying to do it in Python. For my favorite measure of statistical dependency, Hoeffding's D, that's true even if you use Numpy. Since I recently learned Rust and wanted to learn how to make Python packages using Rust, I put together this new library that I call Fast Vector Similarity.I was blown away by the performance of Rust and the quality of the tooling while making this. And even though it required a lot of fussing with Github Actions, I was also really impressed with just how easy
Where to Find Affiliates?Hello everyone,After more than a decade of toiling in the trenches, we've refined our agency work into an online course. It's not just a rehash of what we've learned, but a carefully curated guide supercharged with AI tools for efficiency and effectiveness. And now it's available on Thinkific for $1,000 to $2,000.But here's the rub: to get this course in the hands of those who need it, we need affiliates. If you were in our shoes, where would you begin the search?And just as importantly, what's a fair affiliate cut? Your thoughts are welcome.Thanks.
Launch HN: DAGWorks – ML platform for data science teamsHey HN! We’re Stefan and Elijah, co-founders of DAGWorks (https:///www.dagworks.io). We’re on a mission to eliminate the insane inefficiency of building and maintaining ML pipelines in production.DAGWorks is based on Hamilton, an open-source project that we created and recently forked (https://github.com/dagworks-inc/hamilton). Hamilton is a set of high-level conventions for Python functions that can be automatically converted into working ETL pipelines. To that, we're adding a closed-source offering that goes a step further, plugging these functions into a wide array of production ML stacks.ML pipelines consist of computational steps (code + data) that produce a working statistical model that a business can use. A typical pipeline might be (1) pull raw data (Extract), (2) transform that data into inputs for the model (Transform), (3) define a statistical model (Transform), (4) use that statistical model to predict on another data set (Transform) and (5) push that data for downstream u
Launch HN: Infisical (YC W23) – Open-source secrets manager for developersHi HN, we’re the co-founders of Infisical (https://infisical.com), an open-source platform to sync application secrets and configs across your engineering team and infrastructure. We enable teams to store their secrets in a centralized location and distribute them anywhere from local development processes to staging/production environments.Our Github is at https://github.com/infisical/infisical.We previously worked at AWS, Figma, and another startup, where we frequently ran into problems dealing with secret management. For example, many companies used .env files to maintain their development secrets and struggled to keep secrets in sync amongst their teams (this routinely posed security and efficiency issues — secrets can get leaked or go missing). Some companies (especially bigger ones) used solutions like Vault which can be difficult to set up, maintain, and afford.While secret managers exist, they’re imperfect for many reasons: open-source solutions are either too complicated, not c
Goals Are BoringDo you ever feel like your professional goals are just, well, boring? • Increase manufacturing efficiency by 35%... boring. • Generate 25% increase in revenue ...
Ask HN: How to share productivity tips and tools among developers in a companyAs a software engineer, on my own I’ve been able to increase my efficiency and productivity at my current job over the years with the help of various programs such as command line interfaces (CLIs), GUI extensions (VS, VS Code, Chrome), software applications, and other shortcuts (aliases, etc.). I know everyone has different preferences and work styles, but I can’t help but think what I’ve been able to apply would be useful for other developers at my company.Undoubtedly, there are other developers at my company have their own set of programs/workflows they use to increase their efficiency that I think could be useful to me and others.I'm curious to know what strategies other developers use or have used within their company to share productivity tips and programs with their colleagues. For example, is there a dedicated Teams/Slack channel, an internal wiki, or some other type of software where engineers can share/demo programs and shortcuts they use in their day-to-day work?
Agile sucks for software development and I’m tired of pretending it doesn’tWarning: Unpopular opinion ahead.Agile extremists love to dance around the broken record of: “but Agile is what ‘high-performing’ development teams use”.Is it?According to who?What study?What was the sample size?How long was the study run?What caliber of companies were included in the study?Most importantly, what was the percentage increase in deliverability/speed/efficiency/developer happiness/customer happiness when using agile vs without?These are questions the agile overlords either don’t know or refuse to provide the answer to.Even if said studies exist (hint: quality ones don’t), those studies would likely have been conducted by statisticians who have never worked on a development team, thus making their study unqualified right out of the gate.I don’t know what your definition of high-performance is but my definition would be along the lines of “delivering high-quality software quickly and efficiently”.Now please explain to me what part about spending half the day in meetings rat