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gm legends. It’s Sunday.

This week, a whole lot of AI: SpaceX spends $60B on Cursor, how to filter out bot feedback, what to do before letting your agent into the wild, and the top new AI email clients. Plus, some of our favorite launches from the past week.

Go wild, legend. Enjoy.

P.S. Launching soon? We’d love to hear about it → editorial@producthunt.co 🫶

SpaceX just went public this month and it’s already feeling flush with cash. So flush, in fact, that it’s buying Cursor for $60B in stock. 

The AI coding editor is a favorite here at Product Hunt. It was our 2024 Product of the Year, and the startup has already hit Airbnb and Uber status. (“It’s Cursor for [insert any noun].”)  

Since launching, Cursor has made three acquisitions of its own:

• It rolled Supermaven into its team in 2024.
• It purchased CRM startup Koala in 2025.
• It bought “pull request toolchain” Graphite in December.

So SpaceX is getting more than just an AI editor — it’s getting something close to a full AI-powered software development platform. Even more so now that Cursor announced its competitor to Github this week…

The CEO of Cloudflare recently said that nearly 60% of internet traffic is now generated by bots and AI agents.

If that trend continues, what happens to understanding what customers say online?

For years, founders and marketers have relied on Reddit, TikTok, YouTube, Instagram, reviews, and online communities to understand what customers actually think. But as AI-generated content, fake engagement, and automated traffic increase, separating genuine customer feedback from noise becomes increasingly difficult.

This creates a real challenge for brands:

• How do you know what customer feedback is real?
• How do you avoid making marketing or product development decisions based on artificial signals?
• How do you spot real emerging trends before competitors?

I'm curious how other founders, marketers, and product managers are thinking about this.

Are you changing how you gather customer insights? Do you trust social media data as much as you did a year ago?

I ask because…

by Dev Grover, GTM at OpenBox

A lot of teams start building AI agents before they think about AI governance. That probably makes sense. When you're experimenting, the focus is usually on getting the agent to work, not on documenting every decision it makes.

The challenge is that agents tend to become useful faster than expected. One day they're helping draft content. A few weeks later they're updating records, touching customer data, triggering workflows, or making recommendations that influence real decisions. That's usually when governance stops feeling like a future problem.

If I were putting together a simple checklist before deploying an AI agent, I'd start with a few basic questions. What data can it access? Who can approve its actions? Is there a record of what it did? Can changes be tracked over time? If something goes wrong, can someone reconstruct what happened and why? And if the agent produces a low-confidence result, does the workflow know how to handle it?

None of these controls are particularly complicated on their own. Permissions, approvals, audit logs, monitoring, version history, and failure handling have existed in software for a long time. What's changing is that AI agents are bringing those concerns into places where many teams haven't had to think about them before.

One thing I've noticed is that these questions rarely come up during the first prototype. They tend to appear once an agent becomes part of a real workflow and people start relying on its outputs. That's usually when teams begin thinking more seriously about visibility, approvals, accountability, and how decisions are being made over time.

Which of these do you already track in your AI workflows today?

Don’t tell anyone, but we hate our inbox. It seems like Product Hunt builders hate their inboxes, too, because they keep working on a better way to message. This week alone saw two new clients—Upstream and Quartz—hit the leaderboard. Here are a few recent launches to know:

• Upstream lets agents triage your inbox and integrates with your other tools so you have to search less. (June 18 Product of the Day)
• Quartz is a Gmail client “built for focus” that runs on your Mac.
• Slashy is an AI assistant designed to write non-generic email responses. (June 14 Product of the Day)
• Mailwarm gets more of your emails delivered by “raising your sender reputation” and keeping your messages out of spam boxes. (June 4 Product of the Day)