Every day, a new AI money playbook and a real growth trick from a real company. Tools, tactics, and steps you can act on today.
Global AI market size — Grand View Research
Have adopted AI in at least one function — McKinsey
Annual value AI could add — McKinsey Global Institute
One real distribution or SEO trick per day. Stolen from products that grew without a marketing team.
A real product improvement — cheaper, longer, more consistent video generation — got buried on launch day because the access path to try it was confusing and uneven across products, and the loudest reactions were about the interface, not the model.
Hightouch didn't write 'our judge is way cheaper and almost as accurate.' It published '98.8% accuracy, $0.88 per 1,000' next to Opus's '99.0% accuracy, $3.86 per 1,000' — on two separate difficulty tiers. The post hit 202 points and 43 comments on Hacker News because the numbers were specific enough to quote, verify, and argue with.
The bug itself was reported in 2024 and ignored. It only became a widely covered story once it had a name — PHP2Shell — that describes exactly what it does: turn PHP into a shell. A descriptive name is a growth play, not just a convention.
Every day, one trending AI idea turned into a step-by-step money-making guide.
Meta's own systems only ban an advertiser once they're 95% certain he's a crook — below that line, he just pays a higher rate to keep running. Reuters' investigation put a number on what that gap is worth: roughly $16 billion a year in projected revenue from scam and banned-goods ads, including deepfake ads that used Mark Cuban's face and voice to sell a fake diabetes cure. Wherever a platform's own enforcement threshold leaves a gap, there's a service business in closing it for the people being impersonated.
Hightouch tested whether a cheap, fast model (Jev) could judge identity-resolution accuracy as well as Claude Opus 5.5. The answer wasn't 'yes' or 'no' — it was a hybrid: let the cheap model grade every case, then route only the cases it's unsure about (30–90% confidence) up to Opus. That 'Hybrid Jev' setup hit 98.8% accuracy at $0.88 per 1,000 identities versus Opus's own 99.0% at $3.86 per 1,000 — and on a harder test set, Hybrid Jev actually beat Opus outright: 95.3% accuracy at $2.94 per 1,000 versus Opus's 95.1% at $5.39 per 1,000.
The cybersecurity firm Calif, sponsored by OpenAI, used AI tools to turn a two-year-old, previously ignored 'minor' PHP bug report into a critical remote-code-execution exploit within two weeks. That speed is the pitch: any company running old code now needs an AI-assisted audit before someone else finds its PHP2Shell first.
Free AI-powered tools to level up your productivity.
Your personalized content feed
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