Snapshot · Planet Money
Without constraints or a manager to say no, General Magic engineer Steve Perlman rewrote the device's calendar function to span from the Big Bang to the distant future — a task that could have been 4 lines of code.
Where this was said
At 18:43 · chapter starts 17:46
The third and most vivid lesson involves the difference between leaders and managers. General Magic was led by legendary programmers — people everyone admired and deferred to. But those leaders weren't equipped to set deadlines, establish priorities, or tell engineers what not to do. The result was a culture where any good idea got worked on, regardless of whether it was the right priority. [1] — David Epstein "General Magic had visionary leaders but no managers. Without anyone setting priorities or saying no, engineer Steve Perlman spent enormous …" 17:46 Epstein's emblematic example is engineer Steve Perlman, tasked with writing a calendar function. He started with 1904–2096. A leader suggested it should go back further for historical apps — so he rewrote it to cover year 1. Then another team asked why he was anchoring it to a 'religious context' — so he rewrote it again to span from the Big Bang to the far future. If he'd stayed with the original scope, it would have been four lines of code. Instead, it became an enormous time sink. The lesson: because they could do anything, they did.
General Magic had visionary leaders but no managers. Without anyone setting priorities or saying no, engineer Steve Perlman spent enormous time expanding a simple calendar function — from a 4-line task into code covering from the Big Bang to the future. Because they could, they did.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
Eyal and Yali shut down all marketing and spent 4 months completely rebuilding PropGPT from scratch.
PropGPT has accumulated over 40,000 total downloads since launch.
PropGPT's large language model (AI) operating costs are just $20 per month, and the cost is continually falling.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
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