What s the most ridiculous thing you ve blown startup money on?

Everyone has that regret: fancy office chair, logo redesign, too many SaaS subscriptions. What was yours?

Before I start, let me start: without a doubt, children should be children and enjoy their childhood.

However, many makers here already have families, and the role of founders also affects how their children perceive them (they probably see their parents as role models).

After a launch, sign-ups are an easy number to watch.

But early on, I m finding a different signal more useful: whether someone can clearly describe the problem they hoped the product would solve.

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:

It s Saturday, and here s your weekly dose of what s shaking up tech, marketing, and AI. Let s dive in!

Social Media and Marketing Updates

• Instagram: Testing DM upgrades, a dislike button for comments, and Testimonials in Partnership Ads.

• Twitter / X: Launched Grok 3, but Elon jacked up Premium+ from $16 to $40/month. X users are upset 150% hike for AI perks and priority posts? Cancel culture s hitting the platform hard.

  YouTube: Rolling out Veo 2 AI from Google DeepMind for creators. Video generation s about to get a sci-fi glow-up on YouTube.

• LinkedIn: Added Email Open Rates and Sends to Newsletter analytics.

• WhatsApp: Testing social media links in profiles and an AI chat tab. Meta s turning it into a mini-social hub. WhatsApp Beta feature lets you customize voice message transcriptions.

• Digital Marketing: Meta s AI ad push is the talk of the town automated campaigns are a marketer s dream.

I m a solo dev, and I recently ran into a massive data architecture problem while building a personal tracking tool.

I originally tried using standard habit and symptom trackers, but I realized they almost all fail when dealing with overlapping data: situations where one event or routine completely masks the effect of another.

If Input A causes a negative reaction, but I immediately apply Treatment B to cover it up, the raw data simply logs that "Input A led to zero issues." The app basically lies to the user because it treats every log in isolation and can't separate the overlapping variables.

To solve my own problem, I had to stop using generic trackers and build a statistical model (using Elastic Net regression) in the background to calculate true correlations and filter out the noise.

There s a lot of talk about freedom, flexibility, owning your time, and 100% equity.

But behind the scenes, being a solo founder is also full of hidden challenges emotionally, financially, and logistically.

As a solo founder, you wear all the hats: product, design, marketing, support, strategy and sleep, if there's time.

Curious how other builders are handling AI tool sprawl right now.

I went from one chatbot to a daily stack: chat, image, video, docs, research, maybe a second model for code. Different logins. Lost context. Half the day spent switching surfaces instead of finishing the job.

For people living in that stack:

Roughly how many AI tools do you touch in a normal day?

The last 2 or 3 years, I have been trying to learn more foreign languages besides English.
My go-to app is (not surprisingly) Duolingo.

I have also experience with Memrise, but it didn't feel like a good fit.

I find these apps to help learn vocabulary or for keeping up with a language I've previously learned in other ways (for example, from a language school or online lessons), but not necessarily for learning at a conversational level.