They know you use AI.

You know you use AI.

We re Live

After a lot of late nights, edge cases, and real-world testing, TowTurk is officially live on Product Hunt today.

We re building a provider-first roadside assistance marketplace designed for the moments drivers least want to think about when something goes wrong and help needs to just work.

Last month I got one of those AI invoices that makes you open the usage page and squint.

The annoying part was not that I used tokens.
It was that I had almost no visibility while I was actually building.

I was jumping between apps, prompts, and models, and the cost only became obvious after the damage was done.

So I built TokenBar for macOS.

You describe the workload it runs.

No picking 4090 vs A100.
No region debates.
No infra overhead.

Launching April 28 (12:01 AM PDT):
https://www.producthunt.com/prod...

Curious what s been breaking for you when running AI workloads.

I built MetricSync after seeing how many people liked the idea of photo-based calorie tracking but hated the price, missing features, or inaccurate scans.

It is an AI nutrition tracker with a 3 day free trial, and the main pitch is pretty simple: cheaper than Cal AI, more features, and better accuracy in actual day to day use.

I kept reaching for blockers, then opening YouTube and getting sucked into Home or Shorts anyway.

So I built Monk Mode for Mac. It blocks the specific feeds that wreck attention, like YouTube Home, Shorts, X For You, Reddit front pages, and similar infinite scroll surfaces, without forcing you to quit the whole app.

I kept testing prompts across Claude and ChatGPT, then checking usage later and realizing I had basically no feel for where the tokens were going.

That was the whole reason I built TokenBar for Mac. It sits in the menu bar and shows token usage in real time, so I can see when a prompt, retry, or long context window is about to turn into an expensive habit.

It is not a finance dashboard or team analytics tool. It is just a simple way to make AI usage visible while you work.

If you are building with LLMs every day, I am curious: do you track token usage live, or only after the bill shows up?

Hi Product Hunt community!

I ve been experimenting with a "less is more" approach for my new app studio, Vynta Lab.

I m building a daily Shopify insights report that turns store data into simple, readable updates.

It highlights things like lost customers, dead inventory, and underperforming products in a way that s easy to scan and act on.

Sharing a sneak peek here. Curious what feedback you have on it.