Our launch went live at 12:01 PT today. As I write this it is in single digits, nowhere near the featured cutoff. I would rather post the number than a vague "lots of learnings" thread, so here it is, plus what I actually think went wrong and what I am doing about it in the open.
What was ready: product worked, landing page up, payments live, guidelines followed, assets done. Every readiness item on a standard launch checklist was ticked.
What was not ready: I had 2 followers. Not 2 short of enough. 2 in total.
I had been treating "build an audience" as one more checklist item, something you do a bit of and then tick off. It is not that kind of item. Every other thing on the list is work you can finish in a sprint. This one has a lead time measured in weeks, because a follower is fundamentally a person who receives a notification, and you cannot notify people you met an hour ago.
Hi everyone, I wanted to get some insights on how you guys structure your GitHub page to look like so it feels personalized, well-made and not AI generated? I'm a fresher just starting out in my career, I would love to get tips, especially from recruiters, on how to make my profile look good and not fake. One tip I've received in feedback from an interviewer is to not put extremely complex projects that I obviously made Claude write and I just learnt the theory of it.
Our interface runs in twelve languages, and the short strings turned out to be the easy part. The hard part is long pages: an article gets translated, then someone fixes a figure or rewrites a paragraph in the original, and every other version quietly keeps the old text. Right now we only keep pages without a translation out of search, which stops thin duplicates but does nothing for a version that was correct last month and is wrong today. I keep thinking about storing a hash of each source paragraph next to its translation and flagging any mismatch, but I have not built it, and I am not even sure a paragraph is the right unit. If you run a site in more than two languages, how do you find out that a translation is out of date, and who ends up fixing it?
I m increasingly noticing a trend: people use AI for (almost everything), especially for writing texts. it is nothing new, but it started to be annoying (?)
The problem is that AI often: fully or largely replicates existing text without adding anything new adds completely pointless things, like a two-line comment followed by writes extremely long comments that no one will actually read
Hey Product Hunt Community!
We are launching AppSave tomorrow. Please click on "Notify me" on our teaser page - https://www.producthunt.com/prod... Also, thank you for helping me cross 100 followers on Product Hunt!
I will be following back whoever will follow me today!
Let's support each other
when asking AI tools to solve specific coding challenges, their default solution often involves suggesting new third-party libraries or npm packages rather than using existing utility functions in the repo.
over time, small utility packages add up, increasing bundle size and creating additional security maintenance tasks for the team.
how do you guide AI coding tools to prefer native project patterns over suggesting external packages?
Thinking about future-proofing my skills and I'm curious to hear from the pros in this community. We all have our core skills, but what's one skill that wasn't a big deal a few years ago but you now see as essential for your role in late 2025?
For Marketers: Is it data storytelling? AI prompt engineering?
For Designers: Is it prototyping with real data? Designing for AI?
