On Feb 24, 2026, Anthropic said it uncovered industrial-scale efforts by Chinese Labs (@DeepSeek, Moonshot and @MiniMax-M2.5) to extract capabilities from its Claude models via distillation.

According to Anthropic, the campaigns involved:

• 16M+ exchanges

• ~24,000 fraudulent accounts

• Proxy networks to bypass regional restrictions

• Targeted extraction of reasoning, coding and tool-use abilities

So many indie makers launch like this:

• alone.

• no hype.

• no crew.

• no plan.

• just vibes.

They think it s noble. if it s good, people will notice.

But here s the problem:

I'm interested to hear what everyone has to say about this! Especially in tech, the world and people's needs are constantly changing. This means that the products we're creating have to change with it, and the most successful products tell people what they need before they know they need it. As exciting as this is, it's super hard too. Reaching out to fellow trailblazers: what do you think about this? What are some of the tradeoffs?

Happy #StarWarsDay!
What are the most inspiring products that don't just support dark mode but default to it?
My collection includes:

• Linear

• Liveblocks

• Raycast

• Supabase

• v0 by Vercel

Over to you!
Oh and if you enjoy dark themes, make sure to star this repo full of hand-picked resources, tools, and examples to build awesome products in dark mode.
#MayThe4thBeWithYou

We re talking to mobile app founders about how they stay on top of user feedback. With reviews spread across Google Play, the App Store, and even CRM tools, it can feel like a full-time job just to know what s going on.

I m curious:

• Do you personally check reviews daily, or is it more ad hoc?

• How do you currently track and respond to reviews across platforms?

• Are you using any tools or custom setups to catch emerging issues early?

• What s been the hardest part of staying proactive with reviews (without burning hours every day)?

Dear makers, do you keep somewhere the AI decision logs and what do you do with them? Say I have a AI chat and I ask it - create me this and that and they I use the results for something that brings bad user experience. Do you keep a log for the decision tree or the process and why?

Apart from your own use, is there a Law somewhere in the world that requires you to do that?

I work closely with product and growth teams, and one challenge I keep running into is explaining user drop-offs to people who aren t deep into analytics.

The data usually shows where users leave, but turning that into a clear, confident explanation without overloading dashboards or making assumptions can be tough. Especially when the audience is leadership or business stakeholders.

I m curious how others handle this in practice:

The situation that happened:

I see how some creators on Subtsack are monetizing their content (they have a section for subscribers who can pay to access articles, videos, and private chat).