One analysis found that about 1 in 7 job listings are fake 'ghost jobs,' contributing to long job searches.
Snapshot · PBD Podcast
One analysis found that about 1 in 7 job listings are fake 'ghost jobs,' contributing to long job searches.
Where this was said
At 1:56:10 · chapter starts 1:55:30
Kalshi's World Cup deal is dissected as a masterclass in patient dealmaking: FIFA asked $150 million, nobody bit, the tournament started, and Kalshi swooped in for $20 million for elimination-round exposure alone — an 87% discount.[1] Tom explains the deeper business logic: Kalshi is using the World Cup moment to mainstream prediction markets to audiences who've never heard of them. Patrick then zooms out to the political disruption: campaigns and candidates are terrified of prediction markets because they produce more honest signals than polls. When you ask someone who they're voting for, they perform. When you ask them to put $5 down on the outcome, they reveal their true beliefs. Tom notes that over $100 million of citizen money is currently staked on the 2026 Democratic primary, with Jon Ossoff ahead of AOC — a signal the mainstream media is ignoring. The panel speculates that Kalshi could eventually thread prediction markets into ETF-like indexes that aggregate public probability assessments in real time.
65% of HR professionals use AI to auto-reject applicants. 1 in 7 job listings are fake. The panel breaks down the real reasons candidates fail — poor tailoring, no preparation, zero people skills — and why human communication is your only competitive edge.
65% of HR professionals say AI automatically rejects job applicants before any human review, according to Forbes.
Ford rushed to deploy AI across quality checks with 900 AI-powered cameras, then quietly rehired 300+ veteran engineers when the system failed. The problem: AI can't replace decades of tacit knowledge that walked out the door before it could be digitized.
Bhanu grew SiteGPT to $13,000 monthly recurring revenue entirely through organic channels, spending nothing on paid marketing.
More than 1 million people have visited SiteGPT's website since launch in March 2023, all through organic channels.
Approximately 90% of SiteGPT's Google search traffic comes from the free tools Bhanu built, not the main product pages.
Bhanu sold his first SaaS product, Feather, for $250,000 so he could focus fully on the faster-growing SiteGPT.
SiteGPT has generated approximately $500,000 in total revenue since its launch in March 2023.
The average customer lifetime value for SiteGPT is approximately $1,700 to $1,800, which Bhanu considers unusually high.
SiteGPT receives around 50,000 visitors per month, of which about 200 convert to leads and 60 start free trials.
SiteGPT hit $10,000 MRR within its very first month of launch, driven largely by early traction in the AI chatbot space.
Despite strong download numbers, PropGPT could not push past $1,000–$2,000 MRR due to poor product retention.
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