At my office, we use Slack and Teams, but honestly no one actually checks a digital status before they walk over to your desk.
I keep a QR code on my desk with a note that says "What I’m up to." Anyone can scan it to see if I’m in a deep-focus session or free to chat. I can update it from anywhere just by sending a quick email to a custom address. (There is a 'Download QR Code' icon on the page to make this easy).
I’ve also started putting the link in my email auto-replies. Standard OOO messages are usually static and boring, but this makes them a bit more dynamic/useful.
You can use it for all sorts of things, like notice boards etc. You can create up to 2 pages per email address.
I’m curious to know if you find this useful or how you’d use a simple status page like this. Thanks!
Bytescope monitors hundreds of tech, eng and science publications for changes, using either traditional page comparison or vision capable LLMs. It uses llm (experimenting with fine-tuned llama3.2 8/70b) to verify if new content matches tech/engineering/science criteria.
I built this because keeping up with tech was eating hours of my day. I tried brutalist.report but needed keyword filtering and a wider range of monitored blogs.
I've been using it for a few days now and it seems to work ok. A bit slow but currently it all runs on a single server.
Any feedback is appreciated.
Edit: Forgot to mention, in case it's not clear - leave the input blank or use * for all updates (max 500 shown).
Cyberhaven suppose to be a security company
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The attack began after a hacker successfully targeted a Cyberhaven employee via a phishing email that was sent to Chrome extension developers. The employee, believing the email was an official Google contact, clicked the email and input their login credentials on the phishing page.
I've developed an open-source inference server called Inferenceable with the aim of providing developers with a straightforward solution that can be installed without fussing over dependencies.
Inferenceable, built in Node.js, simplifies the process of building and running complex libraries like llama.cpp, making it accessible to developers of all levels.
It's also pluggable and can be used with your custom strategies.
There are 3 main functions
- General text based inference
- Image inference
- Generate text embeddings
Inferenceable also includes a simple UI which can be customised or deployed as is, pluggable authentication, CSP and rate limiter.
I'm working on adding more authentication strategies, including social logins, and creating additional examples.