Alex Rampell argues that despite decades of HR software like PeopleSoft and Workday, companies employed the same number of HR staff relative to company size in 1950 as in 2000.
Where this was said
At 13:35 · chapter starts 12:40
Alex Rampell's contribution to this segment is essentially a compressed history of enterprise software, delivered as a provocation. The story starts with Sabre Systems — the IBM and American Airlines joint venture that moved airline reservations from paper to database — and traces a through-line to PeopleSoft, LexisNexis, QuickBooks, and NetSuite. Each was a filing cabinet that went digital. And in every case, the number of humans required to do the work those cabinets described didn't shrink at all [1] — Alex Rampell "Software just kind of took things that were stored in paper format and then they made them available first on-prem via green screen compute…" 13:16 . HR departments employed the same number of people per company headcount in 1950 and 2000, despite Workday. The accounting office didn't shrink because of QuickBooks. What changed was the format, not the labor. Rampell's argument is that AI breaks this pattern for the first time: it doesn't just store the fact that Dr. Sloop has overdue invoices, it goes and collects them. He then extends the argument with the fintech bundling analogy — Toast couldn't have existed in 1985 not for technical reasons but for LTV reasons — and lands on the claim that software-as-labor represents an opportunity orders of magnitude larger than software-as-storage or software-plus-fintech combined.
Software didn't make businesses more efficient — it just moved the filing cabinet onto a hard drive. From Sabre Systems to PeopleSoft to QuickBooks, humans still had to do all the work. Now AI can finally edit the filing cabinet, not just store its contents.
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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