With more than 20 products now Clean Label Project Certified, the company continues to expand its leadership in clean, simple ingredients and rigorous third-party standards Newly certified products ...
Beyond Meat (BYND) stock exploded 41% Monday on new product rollouts, Big Geyser distribution deal, and meme-stock retail ...
Beyond Meat, Inc. shares are moving sharply in after-hours trading following Monday's session, after closing the regular ...
Shares of plant-based protein company Beyond Meat (NASDAQ:BYND) jumped 15.2% in the afternoon session after the company announced a major distribution deal with Big Geyser, one of the largest non-alcoholic beverage distributors in the U.S.
Beyond Meat rose for a seventh straight session on Tuesday. It's been trading like a meme stock in recent years as the craze for meat alternatives fizzled.
Beyond Meat (BYND) is up ~40% YTD, but weakening demand, dilution from debt restructuring, and fading plant-based trends keep ...
Beyond recently announced new products and a significant distribution deal. What else is lifting the stock?
Along the historic route of the Lewis and Clark Expedition, where the Beaverhead Mountains rise above the confluence of Fourth of July and Little Fourth of July Creek, this 58.5± acre holding offers a rare combination of water, infrastructure, access, and long-term flexibility. The creek flows just 12± feet from the 3,180± square foot ranch-style home before feeding a fully stocked private pond known to produce 10-pound rainbow trout. Directly beyond the irrigated pastures lie more than 375,000
I've been building an Android app that identifies aircraft overhead when you point your phone at the sky. The app fetches live ADS-B data and overlays aircraft labels on the camera feed, but getting the math right took much longer than I expected, so I wrote it all up.The problem sounds simple, you have a GPS coordinate in the sky and a GPS coordinate in your hand. You want a pixel. But there are four distinct coordinate spaces between those two things, and the transitions between the
I am a programmer with about seven years of experience, but I would say I am below many of the programmers here, and most of the work I do is fairly simple. I mainly work on WPF and WinForms applications that act as UI layers for ladder diagram based systems in industrial sites.Because of the nature of this work, it is very labor intensive. There are too many factory trips, it is physically exhausting, and the pay is not great relative to the amount of effort involved. That is why I want to beco
Worked on this a couple of months ago but forgot to post it. The idea came to me when I wanted to get my OpenClaw to play WoW with me. I'd like to expand it to support all game features (not just chat), and make it possible for LLMs to inhabit and play on private servers.
We built Nyx to solve a problem we kept hitting while building agents: AI agents break in ways traditional software doesn't. Logic bugs, reasoning failures, edge cases that manual testing and static benchmarks never explore.Nyx is an autonomous testing harness that probes your AI agents to find failure modes before users do. It’s used to find logic bugs, instruction following failures, edge cases in agent behavior, and for red-team security testing (jailbreaks, prompt injection, tool hijack
I built this for myself while trying to get serious about learning Japanese again:https://mykana.app/I studied a little Japanese more than 10 years ago, but only for a short time, so most of it didn't stick. Since then, I've been to Japan many times because my girlfriend is Japanese and my older brother lives there. More recently, with me and my girlfriend traveling back and forth to Japan quite a lot and both of us having family in Tokyo, I wanted a better way to rebuil
There’s a lot of hype (and hate!) right now around "Vibe Coding". And rightly so. The idea that you can build out software entirely by kicking back and commanding AI agents to do the typing for you is an incredibly exciting concept, but most people trying this are hitting a brutal reality after just a few days: AI Code Rot. First it works. Then it fails. And you have no idea how to fix it. I decided to build an app: a complex dinner scheduling engine. It imports recipe URLs and outputs
Apple has quietly shipped a pretty complete on-device AI stack into macOS, with these features first getting API access in MacOS 26. There are multiple components in the foundation model, but the skills it shipped with actually make this ~3b parameter model useful. The API to hit the model is super easy, and no one is really wiring them together yet.- Foundation Models (macOS 26) - a ~3B-parameter LLM with an API. Streaming, structured output, tool use. No API key, no cloud call, no per-token co
Since the Nginx ingress controller was deprecated, I've been looking at the options to replace it and I found Cilium. On my bare metal clusters, it replaced Nginx, MetalLB and Calico. I love it and it's my favorite tool so far this year. I'd love to know what new Kubernetes tool/framework/plugin/... you've discovered this year and that you love. I will gladly take a look at them !
I'm building a P2P crowdshipping marketplace, basically BlaBlaCar but for packages instead of passengers. Travelers going between cities/countries carry items for people who need to send stuff.About to launch the MVP and hitting the classic chicken-and-egg problem.Travelers won't sign up without packages to carry, senders won't post without travelers available. Every marketplace founder says "focus on one side first" but nobody gets specific about how they actually
I've seen a few "Claude tokenizers" floating around lately with all the 4.7 chatter, but most of them just hit the count_tokens endpoint and hand you back a number. You don't actually see how your text gets split or understand the changes from 4.6 to 4.7.I built this a while back for doing some mech interp research. It faithfully represents Claude token splitting - showing hidden tokens, real boundaries and so on. It is not cheap to run - essentially n^2 cost - you could opti
PyTorch and ONNX Runtime tell you what came out. They can't tell you what actually ran to get there — which ops executed, in what order, on what inputs.A model gets packaged into a sealed .cnox container. SHA-256 is verified before a single op executes. Inference walks a fixed plan over a minimal opset. Every run can emit a per-op audit log: op type, output tensor hash, output sample — cryptographically linked to the exact container and input that produced it. If something goes wrong in pro
Hi HN,This is Tudor from Xata. You can think of Xata as an open-source, self-hosted, alternative to Aurora/Neon. Highlight features are:- Fast copy-on-write branching.- Automatic scale-to-zero and wake-up on new connections.- 100% Vanilla Postgres. We run upstream Postgres, no modifications.- Production grade: high availability, read replicas, automatic failover/switchover, upgrades, backups with PITR, IP filtering, etc.You can self-host it, or you can use our [cloud service](https:&#x