I’ve been talking to a growing number of teams training and serving large models who are no longer relying solely on on-demand hyperscaler GPUs.Instead, they’re locking in reserved capacity (often 6–36 months) across a mix of providers and regions to get predictable pricing and guaranteed availability. In practice, this raises a bunch of questions: • How do you evaluate datacenter quality and...
Also - the tool does indicate why you're likely not a good fit.
technically - yes: vibe coding doesn't work xD
talking to customer - yes: some people have issues passing interviews, less getting into 1st calls
You're sitting here on Hackernews and expect a 3-week project to have a corporate website - you're funny, really are
Same with good applications which aren't filtered out by these very same organizations lol
I totally agree with you. it's a bit a chicken and egg problem. You've got ATS systems filtering out candidates and then on the other side, you've got candidates auto-applying to a lot of unsuitable jobs.
We're trying to educate applications be more considerate and either apply where there's a fit or understand why there's no fot. If there's a fit however, then you should start building a relationship with someone first.
My friend and I got tired of job hunting (347 applications, 4 responses) so we built AI agents to help job seekers instead of replacing them.The problem: 73% of applications never reach humans, 250+ people apply to each job, but 85% of positions are filled through networking.Our solution: AI agents that find hiring managers for any LinkedIn job, analyze your profile fit, and generate...