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The Leaderboard
May 9th, 2025
Unhinged productivity hacks
Hacks you didn't know you needed 🙏

gm legends! We're diving into some crazy productivity hacks in the forums today. Alongside that, we've got: an app that could save your life, an all-in-one sidekick for your desktop, and a way build your own GPT in under an hour.

P.S. Want your launch to be featured in this newsletter? Drop us a line with your pitch at editorial@producthunt.coÂ đŸ«¶

It doesn’t care how many steps you took

Empirical Heart Health pulls data from your Apple Watch, Fitbit, or Pixel, runs 85 biomarkers from a blood test, and gives you a cardiovascular risk report. No trends. No goals. Just a clinical read on whether your heart is at risk and what you should do next.

đŸ”„ Our take: Every health app wants to motivate you. This one wants to warn you. It doesn’t track your behavior or tell you to try harder. It runs your data through a lab pipeline and shows you the kind of results a doctor would call you about. It’s not friendly. It’s not soft. It’s honest.

Build your own Nietzsche-powered sidekick

Antispace connects Gmail, Calendar, Notes, GitHub, and more into one command bar. You type what you want and your AI sidekick does it. No tabs. No toggling. The new update lets you control how your AI looks, thinks, and behaves. It remembers what you tell it, adopts a custom voice, and runs your workflow like a character you built.

đŸ”„ Our take: You can give it a face. You can rewrite its memory. You can shape how it talks, how it reasons, and how it acts on your behalf. It stops feeling like a tool and starts acting like something that lives in the system. You don’t configure it. You raise it.

Train your own GPT in under an hour

FineTuner lets you upload content from PDFs, websites, or videos and fine-tune a GPT or Claude model without writing code. It builds the dataset, runs training, and gives you an API. No setup. No friction. Just results.

đŸ”„ Our take: You don’t need to babysit it. You don’t need to understand transformers. You give it your data and it turns out a tuned model that actually reflects it. The output isn’t perfect, but it’s fast, easy, and scary close to useful on the first try.

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