What is your biggest fear about launching your product? What is the worst case scenario?
What do you want your AI work assistant do for you?
What do you still do by hand, even though AI could probably do it?
I let AI write most of my code now. It is faster than me and it does not get bored.
Three things I still do myself. I read the actual error message before I paste it anywhere. I decide what not to build, because AI will happily build anything you describe and never once ask whether it should exist. And I do the last pass before something ships, because on mobile you cannot quietly push a fix afterwards. None of that is because AI is bad at the work. It is about who is accountable when it turns out wrong.
Curious what is on your list. Is there something you have kept for yourself, or have you handed the whole thing over?
The feature that took the longest to build was the one nobody will ever notice
Spent more time on the "no sign up needed" part of my site than on any actual feature. Not because it was technically hard, it's the absence of something, which should be easy. It's because every shortcut that makes onboarding faster quietly wants an email, a login, a "just to save your results." Fighting that instinct at every step took longer than building the thing people actually came for.
Nobody's going to comment on it. Nobody screenshots "wow, no signup wall." It just quietly removes the one moment where someone almost leaves. That's the part I think gets underweighted when people plan builds, the effort spent on friction you're removing never shows up as a feature anyone can point to, but it's often the difference between someone actually using the thing and someone bouncing in the first ten seconds.
Curious if others have a version of this, something that took real effort specifically because it was invisible by design. What's the thing in your product nobody will ever thank you for, that you know mattered anyway?
What is the best AI tool for creating images?
Grok Bot could take half our studio's admin/ops hire. Not the other half
xAI shipped Grok Bot into beta on Aug 11. If you missed it, the short version: each bot gets its own cloud computer, signs into your actual tools (browser, files, terminal, anything with a login even if there's no API), keeps working after you close your laptop, and only comes back when something needs approval. You can teach it a workflow by doing it once in front of it, and it saves that as a routine. Multiple bots can run in parallel and hand work to each other in a group chat.
The internal examples xAI published are the interesting part. A sales bot that researches accounts overnight and leaves a queue of drafted emails for approval. A bot that keeps CRM records clean and updates notes from call transcripts. One that processes invoices landing in Gmail. One that reproduces bugs in the product UI before filing the ticket.
Makers that are also parents?
What's Your #1 Tip for a New Tech Start-up?
Hey Product Hunt Community!
What s the single best piece of advice you d give to a new founder or early-stage team?
It could be about product, growth, funding, mindset - anything that made a difference for you or that you wish you knew sooner.
Mid-session, an AI rewrote your conversation history. You weren't asked
There's a moment in every long agent session that almost nobody notices: compaction. When the conversation approaches the context limit, the harness has a model summarize everything so far and swaps the summary in for the real thing. Your scrollback still shows the full conversation. The model's world is now the summary.
This explains one of the most confusing agent behaviors: hours into a session, it stops honoring a decision you both settled early. You scroll up and the agreement is right there. But you're reading the original. The agent is reading an abridged edition, produced by a subcontractor, and nobody flagged which terms fell out.
The losses aren't random, either. Summaries keep conclusions and thin out the reasoning behind them: "we chose approach B" survives, the three dead ends that made B right don't, so the agent can rediscover a dead end later with no warning signs in its world. Decisions survive while their conditions get shaved: "use the legacy parser until the migration lands" tends to come out as "use the legacy parser". And confident statements outlive hedged ones. The negative space of a session the rejected options, the conditions, the doubts goes first, and that's exactly the material you'll want three hours later.
The fix is placement. Constraints that must never degrade belong in a rules file, which lives outside the chat history and comes back every turn. Anything with conditions attached deserves its own file on disk, where the summary can't reach it (the agent just has to re-read it). The conversation itself should hold nothing you can't afford to lose.
Anyone else built a "simple" tool that turned into way more scope than expected?
Curious how common this is I started building what I thought would be a small, single-purpose tool (a text/font styling generator called textstylr.com), and it slowly grew into something with way more moving parts than I planned: multiple style categories, search/filter functionality, comparison features, character-limit logic for different platforms, mobile performance tuning... the list kept growing.
None of it felt unnecessary in the moment each piece solved a real problem I noticed while testing. But looking back, the "simple tool" idea and the finished thing are pretty different.