I Couldn't Find the Right AI News Source, So I Built My Own

As I’ve written before, I’m deeply obsessed with AI and spend $180–250 a month on AI subscriptions. What matters to me is finding methods that genuinely change how you work. The goal: be among the first to know about new features, test them, and if it makes sense, roll them into your own processes.

To stay on top of everything new, I follow a couple dozen YouTubers focused on AI automation.

What bothers me about this approach: great solutions can reach my feed days — or even a couple of weeks — later. For me, that feels like an eternity.

On top of that, I’m interested not just in new releases, libraries, and products, but in how AI is affecting the international market: deals, funding rounds, negotiations, shifts in company valuations.

I couldn’t find a source like that, so I built one: a bot that scrapes 27 sources — GitHub releases, TechCrunch, Bloomberg, Hacker News, Reddit, Habr, and more — and compiles them into a digest. At first the bot sent everything to me personally, then I figured other enthusiasts might find it useful too.

That’s how @aijuicedaily was born.

There’s so much content now that 39% of people already avoid news due to information overload (Reuters Institute data). And people are increasingly subscribing to a specific person — for their taste and filter. This is called the curator economy: the value is in finding what’s actually worth your attention in an overwhelming stream.

@aijuicedaily is my filter, and it’s a living one. Sources, topics, format — everything will evolve based on my interests.