entangl

RT @Shapol_m: Entangl is rebranding, and we're inviting brand proposals! We're looking for a bold, daring, and memorable identity—one that…

We hiring for a new position! We are on the hunt for the next Dieter Rams. The kind of person who lives by "less but better." Enterprise software is notoriously clunky and complex (think Oracle, IBM, CAE tools, etc). This is partly because enterprise customers request more and more features, and the platform becomes chaotic over time. With AI, this can change—you can dynamically alter the front end to best serve the user. We are looking for a mischievous, design-savvy engineer who stares at lines of code, user flows, and brand guidelines with the same gleam in their eye. You will be responsible for ensuring that everything users see is designed and crafted perfectly. Expect lots of travelling to customer sites in Texas, Northern Virginia, Washington, California, and other places where you will live, breathe, and dream customer problems firsthand, customizing Entangl for them and ensure the design is great! You should also be familiar with Svelte. If your idea of fun is deleting more lines of code than you write, then this is for you.

requirements: needs to be close to fiber lines and have access to utilities. any size but the larger the better!!

RT @Shapol_m: entangl supports 1.6% of @Meta's data centers. so if you use instagram, whatsapp, facebook, etc, there is a chance that your…

Designing the perfect chip is hard! Floor planning is a stage in the chip design process where functional blocks are arranged to meet certain goals: high performance, low power consumption, and cost efficiency. These goals are typically achieved by minimizing wirelength and white space. Such floorplanning problems fall under a branch of mathematical programming known as combinatorial optimization. 🧵1/3

a hyperscaler gave us a challenge at @Entangl_AI ... they wanted us to see if we could minimise their number of parts in a data center. Entangl found 1,3676,697 parts (!) that could be eliminated, consolidated, or simplified! resulting in an annual saving of $17m...

The TSMC fabrication plant in Arizona is essentially an entire city under one roof. The power needed would support about 100,000 homes, the cost is about 20 billion dollars, the machines themselves are $250m each, the concrete itself is about 10 empire state buildings. It's worth it, but damn.

If you're running a critical engineering project (like aerospace or automotive) @Entangl_AI helps you catch errors early.

@ycombinator @Entangl_AI @Antanas_Z Interested in automating your engineering design process? Book a 15-minute demo with me here: cal.com/shapol/15min

YC S24's @Entangl_AI automates error detection in engineering projects, saving time, money, and potentially lives. It identifies & fixes design issues early, preventing costly delays and dangerous outcomes. ycombinator.com/launches/L6M-e… Congrats on the launch @Shapol_m + @Antanas_Z!

💥📣Entangl is automating engineering design and has been backed by @ycombinator ! See how hundreds are using Entangl for everything from developing aeroplanes to designing in-space service stations and reusable rockets on our website below. 🧨 The Problem: Design errors often get caught too late, leading to delays or even dangerous outcomes. Cross-team design reviews are tedious, and despite the effort, costly errors can slip through to manufacturing or operation. 🎉 The Solution: Entangl autonomously detects errors across an organization by crawling knowledge bases like GitHub, Google Drive, and OneDrive. Our platform identifies design issues early, suggests targeted solutions, and provides daily insights and reviews. By preventing errors early, engineering projects can move faster and avoid costly delays. This makes engineering not only quicker but also safer. 👋 Ask: How you can help ➡️ Give us product feedback. Book a 15-minute demo here: lnkd.in/egEEZuvf ➡️ Sign up today at entangl.ai or reach out to the founders @Shapol_m and @Antanas_Z ➡️ Share with engineering leaders in your network.