The perfection of creations generated by artificial intelligence makes it difficult to distinguish fiction from reality.
The precision of AI images has advanced to the point that even professionals (graphic designers, video-makers) are sometimes not 100% sure of their authenticity.
Facebook finally moved on hiding likes but it's an opt-in feature rather than complete removal. On Instagram there's a per post option. Do you intend to hide your likes or hide your likes? Why or why not? What do you think of the update being "opt-in"?
Been chewing on this and want to hear how others think about it.
(Disclosure: I'm building a scheduling tool, so I'm biased but this is a
genuine question, not a pitch.) Every scheduler I've used solves the same half of the problem: getting a
post out on time. That was never the hard part. The hard part is knowing
whether the thing you posted was actually worth making. Two things I keep coming back to: 1) "Reach" is basically noise. 10,000 views tells me nothing. What I
actually want to know is which post started a real conversation a comment
from the right person, a DM that went somewhere, an actual connection.
Almost nothing measures that. 2) Cross-posting reads as cross-posting. Most tools take one post and just
resize it per platform. But platforms don't differ in aspect ratio they
differ in what that audience will tolerate. Same content, different crop,
still feels generic. So, genuine questions for the creators/marketers here: - Beyond "scheduled" and "published," what would you actually want a tool to measure?
- How would you even define a post that was "worth it"? Conversations? The right people engaging? Something else?
- Do you adapt content per platform, or cross-post and hope for the best? Curious how you all think about this.
I've been dealing with a post-launch headache lately where a client approves the final build but then keeps dropping "quick 10-minute edits" into my inbox every couple of days.
At first saying no feels like overkill for a tiny fix but after a month those quick edits eat up hours of unbilled time. I'm trying to figure out the best way to handle this without ruining the relationship.
Do you usually set a hard limit on post delivery fixes in your initial agreement or do you transition them to a paid monthly maintenance setup once the main work is wrapped up?
Somewhere along the line, every business decided they needed to be a monthly recurring subscription. And for a while, consumers just went along with it.
But "Subscription Fatigue" is very real right now.
I sat down last weekend to review my bank statements and realized I was paying over $300/month for tools and services I barely touch twice a year. I canceled half of them in 10 minutes.
It s super easy to let AI write a quick function for you during a feature build but if you aren't watching closely it slowly poisons your project with unnecessary third party packages.
A few months in your bundle size has inflated and your team is stuck playing catch up with endless security alerts for tiny libraries that could have been three lines of native JS.
After a launch, most makers I talk to put everything into the product and treat the website as finished. A few months later they have 30 pages, almost no search traffic, and no idea which pages are working.
What I ve seen help is picking the 3 or 4 pages that already get a few impressions and fixing only those, instead of writing more. It feels slower, but it s usually where the first real traffic comes from.
I am so guilty of this. Whenever I hit a roadblock with user outreach or sales, my immediate reflex is to open up my design tool, redesign the logo for the third time, or reorganize my code structure. It feels like real work because you're busy at the keyboard but it's really just a clever way to procrastinate on the things that actually matter. It took me a while to realize that shuffling pixels doesn't bring in users.
When you catch yourself hiding behind busywork like this, how do you force yourself to close the editor and finally talk to people?
Every time I ask AI for a quick code snippet, its default reaction is to tell me to npm install a brand new library even for basic utility stuff like array formatting or date math.
Before you know it the codebase is bloated with small single purpose packages that nobody wants to maintain. We already have solid built in helpers in our main codebase but the model completely ignores them unless I spell it out every single time.
How are you nudging your AI tools to look at what's already in the repo before pulling in extra dependencies?
