So I’ve noticed a bunch of older threads asking about iFlicks, but none of them seem current and none have solid answers.
I’ve used iFlicks forever, but it really feels like the dev has disappeared. No replies to emails, website looks…
From the discussion
“i would not chase random old iFlicks download mirrors. for a replacement, the safest path is usually Subler for the MP4/M4V tagging/remuxing part, then Hazel or a simple folder action to watch an inbox folder and run the repeatable steps. FileBot is still good if the pain is naming/series matching, but i would keep it separate from the final TV app import. test on copied files first too - Apple TV library imports can get messy if metadata or artwork is wrong.”
Three years ago I introduced KeyClu here as an free alternative to KeyCue and CheatSheet.
For anyone who hasn't seen it before, KeyClu is a free macOS app that helps you discover keyboard shortcuts for the app you're using.…
From the discussion
“Wow! I was going to search for something for this specifically. Awesome! TY”
There are a few really cool screen shot apps like text sniper, text scoop. I currently use text scoop but I’m wondering if there is one that can take a text sniper like copy of an excel, then paste it word or email and keep it as a table…
From the discussion
“Have a look at SheetSnap. It was recently featured here.”
https://preview.redd.it/gb0y8r9rafdh1.jpg?width=661&format=pjpg&auto=webp&s=f9bde40de406191247b994e934abec5076805898
This is a review. I am not the developer. I
In past lives, my bosses pressed me into using a few complex and complicated…
From the discussion
“Can't you also search menu bar options in Raycast with `Search Menu Items`?”
I do a lot of screen recording and sometimes the voice is hard to hear even at full blast. I'm looking for a volume booster, bonus points if I can set it per app, but the voice clarity and boost is most important.
I checked the app…
From the discussion
“Check rogueamoeba products z one would fit your need”
Au/AutistasAngelesr/macapps
EVERY POST CLASSIFIED
Explore by signal
Different conversations reveal different kinds of opportunity. Start with the signal that fits how you build.
Verba keeps the problem and its conversation together. You can judge the signal before deciding what, if anything, should be built.
01
Notice the signal
Search direct requests, recurring friction, and questions from real conversations.
Browse needs
02
Read the context
Open a demand brief and read the original post alongside every collected comment.
Keep the nuance
03
Choose what matters
Compare discussion depth and source evidence before committing your time to a solution.
Build with evidence
6 QUESTIONS
Frequently asked questions
What this first Verba ledger contains, how it was cleaned, and what the numbers mean.
01Where do these needs come from?
This first dataset is a snapshot of public posts and comments from r/MacApps. Every brief links back to its original Reddit source.
02Are posts translated?
No. Interface text is fully available in English and Simplified Chinese, while community content stays in its original language to preserve meaning.
03How are comments attached to a post?
The cleaner uses Reddit post IDs to group every collected comment under its post. Known reply relationships are preserved; missing thread metadata remains marked unknown.
04Why do some metrics say “not provided”?
The scraper exported richer metrics for only part of the dataset. Verba keeps absent values as unknown instead of presenting them as zero.
05Does the comment count equal Reddit’s total?
Not always. The dataset often contains only a sample of a larger thread. Detail pages show collected and reported counts separately whenever both exist.
06Can I use the data through an API?
Yes. The mock endpoints expose searchable, paginated posts and individual post records in the normalized post-to-comments shape.