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What’s your main goal in this community? 🎯
Hey everyone 👋 Curious to see what brings you here!
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Podcast | The Hidden Goldmine in Recruiting (and why I’m all in)
Hey everyone 👋 I just recorded a podcast with Leon from the Perspective team — and honestly, this one might surprise you. We talk about: - Why “social recruiting” is one of the biggest untapped opportunities in 2025 & 2026 - How you can start an agency with zero startup capital (yep, really) - My full story from the last 7 years — the pivots, the struggles, and how this all came together Here’s the crazy part: Recruiting is a trillion-dollar industry. Every single business needs employees. And traditional recruiters charge 8–10k just to fill one role. With social recruiting, you can deliver the same (or better) results for a fraction of the cost — and businesses are lining up for it. This podcast could be the moment where everything clicks for you. 👉 Listen here: https://www.youtube.com/watch?v=OTx_i1Mo4n0 Drop your questions or thoughts in the comments — I’d love to hear what stood out most to you!
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How to Earn Your First $10K with Social Recruiting
In the past few meetings I’ve had, one question keeps coming up: 👉 "How do I earn my first $10K with social recruiting?" There are multiple ways to get there, but in general, you can take two main approaches: Option 1: Offer Social Recruiting Campaigns Without Candidate Follow-up This is the simpler and more scalable option. Let’s break it down: - You charge $2,000 per campaign - Your costs are about $300 per campaign - The client pays for the ad budget separately That means you earn ~$1,700 profit per campaign to hit your first $10K, you only need to sell 6 campaigns. That could be: - 6 campaigns to 6 different businesses, or - 2 clients each buying 3 campaigns Given the current labor shortage, this is very achievable — but you’ll need to focus more on sales and lead generation.Think: email marketing, LinkedIn outreach, Meta ads, etc. Option 2: Offer Campaigns With Candidate Follow-up + Placement Fee This option is more hands-on but can be more profitable per client. Example: - Charge $1,000 for the campaign (excluding ad budget) - Plus, charge 1x monthly salary for each successful placement Let’s say a candidate earns $5,000/month — you’d earn $5K per placement.That means you only need 2 successful placements to reach your first $10K. This route requires more client attention and handling candidates directly, but can bring higher value and stronger relationships. My Take: - Option 1 is perfect for starting out. It's simple, repeatable, and helps you learn the business model fast. - Option 2 is better once you have experience and want to offer a more premium service — but it does come with more complexity (especially around candidate follow-up, which many businesses struggle with). 💬 What do you think? Would you start with Option 1 or Option 2?
🛑 Unpopular Opinion: You are working too hard (and fearing AI too much)
(Disclaimer: I promise I typed this out with my own actual human hands. If I used ChatGPT to write this, it would probably be using words like "delve" and "tapestry" right now.) I have been reading a lot of posts lately about AI in our industry. It seems like the reaction is usually split: people are either completely ignoring it, or they are terrified about data privacy. I run a recruitment agency and I completely get the hesitation. The idea of feeding sensitive candidate data into a public model sounds like a nightmare. But avoiding the tech completely because of fear is a mistake. To stay relevant, you have to find ways to utilize these tools safely. I used to spend hours on manual admin, but I realized I was spinning my wheels on the same dumb tasks day in and day out. Here is how we are saving about 15 to 20 hours a week using LLMs (text AI) without compromising security: 1. Sourcing without the headache I stopped manually guessing keywords. Now, I use AI to generate high quality Boolean strings based on the Job Description. I run those in LinkedIn and it cuts the sourcing time in half. I also built a workflow where the AI checks candidate profiles against a specific requirements list to see who is actually a fit. 2. The "Closed" Knowledge Base (Safe Training) This is the big one for security. We use tools (like NotebookLM) to train a bot *only* on our own documents. The data stays contained. We use it for: * Drafting policies based on our past docs. * Summarizing investigation interviews or long transcripts. * Creating "podcast style" overviews of complex documents so I can listen to a summary instead of reading 50 pages. 3. Checking for Bias People say AI introduces bias, but we actually use it to help remove ours. We run our JDs and emails through the system with prompts like: *"Hey, is there any language here that’s not inclusive? Or what about exclusionary language?"* It catches things we miss. 4. The Grunt Work It handles the stuff that breaks my focus. turning images of text (like resume screenshots) into bulleted lists, creating timelines from scattered dates in client notes, or doing quick math and Excel formulas.
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Ads Summit 2026
We're looking for 3 speakers to do a presentation about Recruitment Ads in 2026 for our Virtual Advertising Summit. I've done the marketing for over 50 summits and we typically get over 10k attendees. You'll have a chance to promote yourself and get extra authority points by being a speaker at this Virtual summit. Send me a DM if interested :-)
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Ads Summit 2026
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