I m increasingly noticing a trend: people use AI for (almost everything), especially for writing texts. it is nothing new, but it started to be annoying (?)

The problem is that AI often:
fully or largely replicates existing text without adding anything new
adds completely pointless things, like a two-line comment followed by
writes extremely long comments that no one will actually read

As pointed out by The Roundup, the inference space is booming right now.

Last week, @Baseten raised $300M at $5B valuation. They just announced the acquihire of @Inferless to "accelerate innovation in inference infrastructure."

I m not very active on Twitter I usually take on the role of a silent stalker.

But I ve never seen such a flood of posts about AI being used in medicine as I have recently.

These caught my attention the most:

I recently saw a marketer with 10k+ followers launch and finish 6th with 348 upvotes. They followed a proper pre-launch and post-launch plan, did everything right, and still the outcome felt unpredictable.

Now I m launching @Curatora next week.

I m not a marketer. I have a little over 1k followers. Of course, asking for support helps. But I also keep hearing that a large part of the Product Hunt community shows up mainly for their own launch, then goes quiet until the next one.

That makes me wonder: how much of success here is strategy, and how much is timing and network effect?

Product Hunt is best known for its homepage, a daily leaderboard of the most creative and innovative products on the internet. Makers go all out to win launch day, because that visibility matters. Product Hunt also plays a significant role in how products appear in Google search results.

What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations.

Hey everyone! I'm Gianmarco, a software engineer based in Italy. After years of planning trips for friends and family (and being the unofficial "travel agent" of my group), I decided to build something that could do it better than me or at least faster.

I'm working on Aitinery (aitinery.com), an AI-powered travel planner that specializes in Italy. The idea is simple: instead of spending hours on Google Maps, blogs, and TripAdvisor trying to piece together an itinerary, you tell our AI what kind of trip you want and it builds a complete day-by-day plan with real places, accurate travel times, local restaurants, and hidden gems.

For as long as software has existed, the user has been a person. Someone sitting at a desk, poking at a phone, or calling an API. That assumption was so obvious it was never really a design principle, it was just common sense. Every decision about hierarchy, color, button placement, and error messaging was downstream of a single fact: a human being is going to see this.

With agents, that assumption is starting to fail.

Recently, I asked how much you trust AI agents.

When it comes to finances, you said you don t.
With health data, you don t either.

But now I have a different question.

Last month, Tailwind CSS fired 75% of their engineering team.

Revenue dropped 80%. Doc traffic down 40%.

Meanwhile, Tailwind is more popular than ever.

Today, I came across an article on TechCrunch: The great computer science exodus (and where students are going instead).

It shows that UC campuses saw a drop in computer science enrollment for the first time since the dot-com crash (6% in 2025, 3% in 2024), but students are shifting to AI-focused programs.

With the advent of clawdbots, it's as if we've all lost our inhibitions and "put our lives completely in their hands."

I'm all for delegating work, but not giving them too much personal/sensitive stuff to handle.

This is something I ll find out in just a short while, one week from now (Jan 28), as I m about to re-launch a digital detox app. If you want, follow, maybe you will be on watch of my steps and activities

However, that s not the main point of this post.

Since I haven't been able to meet my work goals very well in the last few quarters, I now plan to approach them more systematically and not push myself too hard on work goals, as that ultimately led to problems that made my plan less sustainable.

So here is my structure and list:

A tagline is the first piece of content a user will see about your product on the leaderboard. It's so important that you get it right. You should be able to get a really solid idea of what your product is just by reading a handful of words.

In the spirit of forever optimising our taglines, I wanted to do a little experiment:

A tagline is the first piece of content a user will see about your product on the leaderboard. It's so important that you get it right. You should be able to get a really solid idea of what your product is just by reading a handful of words.

In the spirit of forever optimising our taglines, I wanted to do a little experiment: