Hiring shouldn’t take 60 days. In this episode, Alex an AI recruiter designed to interview everyone, summarise every conversation, and help employers and staffing firms move from “endless screening” to “fast, skills-based hiring.”

Alex isn’t just a chatbot. It has its own interview link, calendar, email, and phone number, can run interviews over phone or video (Zoom-style), and plugs into your ATS to write back notes, ping hiring managers, and keep workflows moving.

The wild part: From 60 Days to 2 Hours its Interviewing 5,000 Candidates a Day, stack-rank them, generate shortlists per role, and even draft reject emails while also helping teams reduce risk with recorded interactions and third-party bias reviews.

If you’re a recruiter, HR leader, or staffing firm dealing with high-volume applicants (including AI-generated resumes and “spray and pray” submissions), this conversation breaks down what hiring at scale looks like when your first-round screening becomes software.

Where to find me:
• David: Linkedin
• Email: hello@thehomebase.ai

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In this episode, David Stepania talks with Haokun and Rishabh, founders of Gale, an immigration service provider bringing more tech into the U.S. visa process so employers, beneficiaries, and vetted lawyers can collaborate with shared context without endless email threads.

They share how Gale supports startup-friendly pathways like O-1, EB-1, NIW, and H-1B, and where “AI” fits today: mostly on the backend to help lawyers draft parts of petitions and support letters faster, with everything scrutinized through lawyer review.

The founders also break down H-1B compliance workflows (like LCA posting and maintaining a public access file) and how Gale helps teams stay on top of the details.

Where to find me:
• David: Linkedin
• Email: hello@thehomebase.ai

Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here:

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In this episode, Cleanlab CEO Curtis Northcutt shares a perspective few leaders are willing to say publicly:
“I don’t even think my job is safe.”

We discuss the exponential acceleration of AI, how machines are improving faster than humans can understand, and why we’re entering a future where AI evaluates AI—because humans simply won’t be able to.

Curtis also explains:

• Why no job (including CEOs) is safe from AI
• Why we now “talk to computers that talk back”
• Why enterprises struggle with AI hallucinations and risk
• How Cleanlab built a real-time “self-awareness layer” for AI agents
• Why human labeling won’t survive the next 2–5 years
• The biggest moat in AI (and why OpenAI can’t build it internally)
• Where AI works today vs where it still spectacularly fails
• Why startups must use AI everywhere to survive
• How his journey from rural Kentucky to MIT shaped Cleanlab’s mission

One of the clearest, most grounded explanations of what the next few years of AI will look like for companies, workers, and society.

If you enjoyed this conversation, follow the show for more founder perspectives on building responsibly with AI.

Where to find me:
• David: Linkedin
• Email: hello@thehomebase.ai

Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here:

• Newsletter: Join Here