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?
That's one of the things that stuck with me while putting together Edition #57 of Curiosity Saved The Cat, which went out this Sunday
A study involving 1,800 participants across 9 experiments found the same pattern: we consistently underestimate how much we'll enjoy talking to someone, which might explain why we spend so much energy trying to skip past small talk rather than actually having it.
I'm an indie iOS dev finishing up Habitra, a privacy-first habit tracker built in SwiftUI, and I'm looking for 9 serious beta testers before I submit to the App Store.
Why it might be worth your time:
- No account. No cloud. No analytics SDKs. All data is local (SwiftData).
If you've studied Japanese for more than a week, you've already hit the wall: (wa) vs (ga). Every textbook gives you a different explanation, every YouTube video contradicts the last one, and somehow you still guess wrong on JLPT practice questions. This guide skips the philosophy. The JLPT doesn't test you on topic-vs-subject theory. It tests you on a handful of concrete sentence shapes where only one particle is correct and the other is a trap. Once you see the shapes, the choice is mechanical. The 10-second rule (wa) sets up what the sentence is about. (ga) identifies who or what did something. When the sentence answers "what about X?", use wa. When it answers "who?" or "what?", use ga. Everything else in this guide is just clarification of that rule. Read my complete writeup at https://jlptmastery.com/blog/wa-...
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