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Matt Cortland wanted to know the price of a pint of Guinness β at every pub in Ireland.
So he built an AI voice agent called "Rachel" and had her phone 3,000+ pubs over Paddy's weekend πΊ
From a recent feature...
The whole thing cost about β¬200 to run plus a lot of my time.
Rachel used a Northern Irish accent and kept it simple β ask the price, say thanks, hang up.
2,052 pubs answered. Over 1,000 gave a verified price π
Some highlights from the calls π
The result is The Guinndex β a searchable price index across all 32 counties.
The setup: AI voice tools, a phone API, and Google Maps for pub numbers. All in, about β¬200.
We recently covered Frey Chu building niche directories from scraped Google Maps data β earning $2,500+/month from ads and leads.
Now imagine applying Frey's model here: scrape the listings, call them with AI to collect data you can't find online β prices, wait times, availability β then monetize that directory π



Adam Levy built a podcast pipeline in a weekend using AI.
The result? The Epstein Files β a daily, self-updating documentary podcast analyzing 3.5 million pages of released Epstein documents.
121 episodes in six weeks. Nearly 2 million downloads in the first month. #1 on the UK podcast charts π€―
Multiple LLMs stitch together names, places, and timelines across the documents. Every claim links back to original DOJ filings.
π Levy writesβ¦
I set the editorial direction, what topics to cover, what sources to trust, what tone to strike... One person can now do what a newsroom did.
The whole thing runs on a Mac Mini. No studio, no production team, no audio skills needed π
Levy has since launched a Spanish version and a second show called "War Desk" covering the war in Iran.
No ads or sponsors yet β but at standard podcast CPM rates, 2M monthly downloads could generate $10β30K/month from ads π€
Not everyone's a fan though. Some listeners have questioned the reliability of AI-generated analysis. Still β the barrier to entry for podcast creation just collapsed.
Pick a niche with a ton of public documents β local politics, court cases, industry reports, etc. β and let AI do the heavy lifting π€

Austin is not a developer.
He's a marketer. And for 10 months, he was the only person running paid ads, email marketing, app store optimization, and SEO at Anthropic β the $380B company behind the AI tool Claude.
π¬ He confirmed it himselfβ¦
when this was written i was the only person on growth marketing. i was a one person team for nearly 10 months.
How? He built a system where AI does most of the heavy lifting π€
But he still needed the actual images and banners. So he built a plugin (with help from AI, most likely) for his design tool that automatically swaps new copy into ad templates.
Result: 100 ready-to-publish ad variations in half a second. What used to take 2 hours now takes 15 minutes π€―
He also set up a way to ask his AI questions about live campaign data β things like "which ads had the best conversion rate this week?" or "where am I wasting money?" β without ever opening an ads dashboard.
The best part: the system remembers what worked and what didn't. So every new batch of ads builds on everything that came before. It gets smarter each cycle.
One person. Doing all of it.
If you've got marketing chops, this is a glimpse of what's now possible. You could offer this kind of AI-powered ad management as a service β one person delivering the output of an entire team π₯


Someone bought PrivateLLM.com for $25 and listed it on a domain marketplace.
Then Matthew McConaughey went on Joe Rogan and said this π
I want a private LLM so I can upload my favourite books, articles, journals and ask it questions and learn more about myself, with no influence from the outside world.
The clip went mega-viral on X and Threads.
Soon after, PrivateLLM.com sold for $250,000.
That's a 10,000x return π€―
π Per a NamePros thread, the seller had repriced the domain higher just months before the sale. The buyer got interested after the price went up β counterintuitive, but a higher price can signal credibility.
After the sale, domainers rushed to register ShieldedLLM, OwnedLLM, AuthenticLLM and every other variation they could think of.
This is an outlier β only 7 keyword+LLM domain sales have ever been recorded. But at $10β15 per domain, the downside of speculating on AI-related names is tiny π€
Related:
tortangtalong88 writes on Redditβ¦
I was spending $22/month on ElevenLabs for YouTube scripts and constantly hitting that 1hr 30min limit mid-project.
So he grabbed a subscription to GLM 4.7 β a Chinese LLM β for $28/year, and vibe-coded an offline voice cloner in 2 days.
GLM 4.7 for 90% of the code, Claude Opus only when the voice cloning logic got messy. Ended up with a portable Windows app β just extract the zip and run the bat file. No website, no installer, just a janky Python GUI that works offline.
Is it as polished as ElevenLabs? No. But it generates unlimited voiceovers without checking a credit dashboard every 5 minutes.
He put it on Gumroad and got 2 sales in 24 hours β paying for his entire year of GLM overnight π€
The gap between cheap open source and expensive closed AI is way smaller than we think.
In the comments, u/PromptlyWriter confirms the patternβ¦
I vibe coded a screen recorder, windows debloater, audio separatorβ¦ It's pretty rad π
What expensive AI subscription are you paying for? Writing tools, image generators, transcription services, SEO tools β if you're paying $20+/month, there's probably a vibe-coded DIY version waiting to be built.
Sell it on Gumroad and let the tool pay for itself π₯



