Amit Matani
@amitm
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CEO @WellfoundHQ (formerly AngelList Talent) - Helped 28k+ startups makes 100k+ hires
Manhattan, NY
Joined November 2007
This hiring advice from Jack Altman is exactly what I see working for early-stage startups right now. Give more equity, grant more scope, spend more hours than you think you need hiring. Most are willing to do this, of course. But if you can take a bet on undiscovered talent
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Score enough points, get a $500k job offer. I stumbled across this creative hiring process from Unsloth. It reads more like a Math Olympiad challenge than a hiring funnel. - 5 challenges - Some easy, some difficult - Each lets you score a certain number of points - 18 points
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I’m not surprised to see that a $1.5 trillion company like Meta is embracing AI-assisted interviewing. I also think this means the end of traditional interviewing…mostly. First, some details: - This is for select technical roles - Pilot program includes one “classic” interview
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Proud to make lists with titles like “7 job boards that don’t suck (as much)”
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You don't have to be a $10B startup to hire effectively. Here's the strategy I laid out in the latest issue of 1M+ subscriber newsletter @Pragmatic_Eng. I shared data from @WellfoundHQ's 12M candidates and 27K+ companies with @GergelyOrosz. What became clear: you don’t need a
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Narrative violation: Inbound isn’t dead. Startups, ignore it at your own risk. Ashby did a survey on hiring, and there’s a clear message: 80% are using inbound for hiring. What’s more, inbound applicants made up 52% of hires. (This is consistent with what we see on Wellfound,
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I'm proud to see @Wellfoundhq featured in the latest issue of 1M+ subscriber newsletter @Pragmatic_Eng. With 12M active candidates and 27K+ companies on our platform, we’re able to show a unique view into what's actually happening in tech hiring: Here's what the data shows. -
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Appreciate the shoutout from @GergelyOrosz in The Pragmatic Engineer’s State of the Software Engineering jobs market. I see so many startups moving off LinkedIn because inbound, frankly, sucks. That’s where we get a lot of customers. But inbound is ALWAYS going to be low
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Uber drivers will start labeling data in-between rides to earn extra cash. This isn’t surprising, but it may not be worth it. First, the details: 1. Called “Digital Tasks” 2. Short, minute-long tasks 3. Could be anything from data labeling, to uploading restaurant menus, or
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Hiring for engineers is different now. We're likely just in a sea change for early stage salaries. For years, big tech was always paying more and it was always a hard financial decision to go to a startup. But now… 1. Founder acquisitions like Scale and Thinking Machines
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The best companies design their hiring process to find signal, fast. And the best candidates apply to companies like tbh. Most founders think hiring is about selling candidates on why they should join. Anjali Menon, CEO of tbh, learned to flip this completely. TBH started from
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AI is writing 90% of the code for companies like OpenAI and Anthropic (and Wellfound.) So why are they still aggressively hiring people? If these tools work so well internally, why aren’t they done with hiring? My thoughts: - The last 10% of software still needs human guidance
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Startup hiring managers are drowning in inbound, AI-generated resumes and cover letters. As Gergely notes, many companies have simply given up on applications and instead have started actively sourcing candidates. On the recruiting side, like Gergely notes, it’s AI-native
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You’ve probably heard Netflix doesn’t hire “brilliant jerks”. Neither does Adam Stevenson. "I'm a big believer still that the very, very best people are also pretty much universally nice people." It's the first time I've heard of such a positive hiring culture, and it comes
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Over the past month, we’ve rolled out AI interviews for every candidate on the Wellfound platform. I’m now convinced every candidate should use it. First, the numbers: - 7% of US companies and 13% of international companies are using them - We’re seeing a 20%-30% higher
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The year is 2030. There are two jobs. Plumber, and giving feedback to train AI. Executives from OpenAI and Anthropic seem to be hinting at this, at least. We’re seeing “RL gyms” popping up at every major lab. The idea is simple: record white-collar professionals as they do
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