So I've been doing this thing where before any major rewrite I duplicate my document with a timestamp in the filename. "essay_v3_before_restructure.docx" sitting in a graveyard folder. It's embarrassing but it saved me twice.

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.

There are so many out there.

We often use ChatGPT or Claude for writing, Perplexity for web search, Flux and Recraft for visuals, and Kling or Luma for videos.

For a long time, I felt that a lot of dividend and income products get judged too quickly by the headline yield.

The problem is: a high yield can look attractive while hiding a much harder question underneath:

For people who track everything and still can't explain why some weeks destroy them.

One app. All your data. Not general tips. One answer: what makes YOU happier.

Get early access https://getflect.app/

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 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?

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.

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.