We re trying something new on Thursday: Alpha Day.

The idea is simple. If this is the first time you re launching your product anywhere, you can tag it alpha and get a boost to your points (and land on a special leaderboard).

I keep hearing and reading about how programmers are at risk; basically, everything that can be replaced by AI is at risk.

• Yesterday, Lenny Rachitsky shared a post that PM openings are at the highest levels since 2022.

• At the same time, I read how big giants (Meta, Amazon, etc.) are laying off engineers because of AI, and then I read about how they had to hire back again because something managed by AI went wrong.

I was on a call with a founder and they asked me to turn on my camera on Google Meet.

I said no citing that they have brought in the call recorder without my consent. I consent for voice recording and summarizing, not video capture.

I've noticed a trend where CEOs of well-known companies are investing more in their personal brands on LinkedIn and X.

However, the level is increasing, and they want something similar from employees.

I've been going through hell for the last month. I was banned from LinkedIn for excessive activity.

• For 24 hours

• For 48 hours

• For 72 hours

• For 168 hours - currently waiting until Tuesday, 10 PM CET.

The only useful advice I've received from support is to be less active.

This starts with a story:

In the summer, one founder of a VC-backed startup approached me to manage his LinkedIn profile, through which he acquires clients (personal brand building).

It was a classic job interview, where the assumption is to create a conversion (you are active on someone's account, building their personal brand, as the account grows, people are noticing you, write to you, you arrange a call, and maybe close a sale)

I asked if there was a possibility of getting equity in this position, because the other positions they had advertised (whether tech, GTM, sales, some small percentage of equity) did offer even a small %...

The answer was "No, this position does not include equity."

Lovable hit $400M ARR with 146 employees. That's $2.7M revenue per employee. Midjourney goes even further. $500M revenue. ~110 employees. $0 raised from investors. That's over $4.5M per employee. Bootstrapped. For context: most SaaS companies celebrate $200k-$300k per employee as a strong benchmark.

If 146 people can generate $400M, what does the math look like at 10?

Laravel just shipped a new laravel.com with a bold headline:

The clean stack for Artisans and agents.

Laravel has always been opinionated and seems like a solid option in this AI era. Has anyone made the switch since they started working with coding agents?

Last month, I did something that felt slightly insane.

I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor. Better features, better positioning, better everything. I told it to be ruthless.

It did!

The output was polished. Confident. Structured like a real go-to-market plan. It named features we don t have. It positioned itself against us. It looked like a threat on paper.

Apple is reportedly pushing back on AI vibe coding apps like @Replit and @Vibecode App, tools that let users create apps just by typing prompts.

The issue isn t a new rule. Apple is enforcing an old one:

• Apps must be self-contained

• They can t download or run new code that changes functionality after review

In a discussion forum with @monatruong_murror , we talked about how AI can help us learn things that aren t naturally familiar to us, like programming.

The biggest challenge was/is:
Getting AI to guide you toward a solution, instead of just giving you the answer.

Last week Garry Tan (CEO of Y Combinator) shared his entire Claude Code setup on GitHub and called it "god mode."

He's sleeping 4 hours a night. Running 10 AI workers across 3 projects simultaneously. And openly saying he rebuilt a startup that once took $10M and 10 people. Alone, with agents.

You spent thousands translating your site.

French. German. Spanish. Japanese. Maybe more.

Here's the painful truth: Your site is translated. Your AI visibility isn't.

When a German user asks ChatGPT in German about your category, you're invisible. When a French prospect searches Perplexity in French, your competitor shows up.

Meow world, welcome back to The Breakpoint, a weekly thread on all things dev tools on Product Hunt.

The latest

Recent dev-first products launched on the site

In the last week, I was restricted twice on LinkedIn (where I have a community of more than 8k+ people) (the first time for 48 hours, the second time for 72 hours).

I supposedly automate no, I don t.

At the end of 2024 we launched Vozo Translate, a video translation tool, on Product Hunt.

Our belief was simple: great content shouldn t be limited by language.

The Perplexity CTO announced at their developer conference this week that they're moving away from MCP internally. Garry Tan tweeted "MCP sucks honestly." Pieter Levels called it useless. The "MCP is dead, long live the CLI" post hit the top of Hacker News. OpenClaw, the hottest open-source agent project in the world, deliberately chose not to support it.

The argument: MCP tool definitions eat your context window. Auth is clunky. The whole thing is an unnecessary abstraction over APIs that already exist. LLMs are smart enough to call APIs directly, or use CLIs, or write their own integration code. Why add a protocol layer?

Two days ago, I shared the 10k mistake product owners make with AI search. The response was overwhelming.

Since then, we've more than doubled our dataset at Rankfender. And many found they were invisible.

But here's what scared me more:

Of those who WERE visible, 43% had incorrect information in AI answers.

I'm Mason, and I built BugStack as an internal tool for my other startup, FuelScout. I was a solo founder running a product with real users, and production errors kept hitting while I was away. By the time I caught them, users had already churned.

The fix was almost always a few lines of code. So I asked myself, if I can read a stack trace, pull the relevant files, and write a fix, why can't an AI agent do the same thing end to end?

Everyone talks about winning AI visibility.

Nobody talks about what happens when you get it and the AI gets it wrong.

I've spent months analyzing AI answers at Rankfender. Here's the side nobody markets.

The Problem