Every business I run generates something on a schedule, a weekly summary, a sales recap, an ops checklist nobody asked for but someone still sends. In the beginning I read every line. Now I skim the subject and archive it without opening, because nothing has looked different in months.

The part that bothers me is I cannot actually remember the last time I checked whether that assumption was still true. Curious whether you have one of these too, the report that used to matter and now mostly proves itself irrelevant just by existing, and whether you have ever caught something late because you had already stopped looking closely.

In 2025, we witnessed a true Product Hunt (r)evolution so many things changed dramatically. I honestly think this was the most intense year of changes the platform has ever had.

For example, we got to experience all of this:

• Verifying profiles (badges)

• Alternative product suggestions on launch pages

• Views and online count on forum posts

• Adding/Removing the ambassador program

• Forums instead of Discussions

• Changing the UX/UI of launch pages

• Removing Coming soon (Notify me pages)

• Adding/Removing downvotes on comments

• Forum comments now showing up on our profiles

• More extensive footer

• Redesign of the main page UI (e.g., new notification icon)

• Removing Kitty s awards

My question is as follows, and I'll ask it right at the beginning:

Do you ask for help with upvoting from the people you're competing with on that day?

I've been running Claude Code, Cursor, and Codex pretty heavily for the last few months and I keep hitting the same loop:

1. Start a task in one agent

2. Switch to something else (Slack, Twitter, another terminal)

Checklists always look the same: tested, works, has a landing page. The part that actually slowed me down building in personal finance wasn't any of that, it was "would I trust this with my own bank statement," which isn't really a checklist item, it's more of a gut check that doesn't show up until you're already deep in it.

Curious what that bar looks like for people in adjacent spaces, health data, identity, anything where "it works" and "it's safe to trust" aren't the same question.

A presentation can look polished and still be completely unusable.

I ve been testing AI-generated decks built from messy source material: PDFs, research documents, notes, spreadsheets, and existing presentations.

Most failures seem to fall into five categories:

1. Inventing claims that aren t supported by the source

2. Missing the actual storyline

3. Removing important context

4. Ignoring the existing brand or presentation style

5. Producing slides that are difficult to edit afterward