I recently saw a marketer with 10k+ followers launch and finish 6th with 348 upvotes. They followed a proper pre-launch and post-launch plan, did everything right, and still the outcome felt unpredictable.
Now I m launching @Curatora next week.
I m not a marketer. I have a little over 1k followers. Of course, asking for support helps. But I also keep hearing that a large part of the Product Hunt community shows up mainly for their own launch, then goes quiet until the next one.
That makes me wonder: how much of success here is strategy, and how much is timing and network effect?
I m currently building Ziggy, an on-screen AI companion that helps based on what you re actually looking at without forcing you to switch tabs or copy-paste content into a chat.
This week I ve been focusing less on new features and more on UX polish.
One small but meaningful change: Instead of making users wait in silence, Ziggy now instantly responds with Thinking and then replaces it with the real answer once it s ready.
Native macOS Support: A fully optimized, high-performance Mac version that matches our Windows experience.
Selection Context (Experimental): Move beyond just words. When you select text, Everywhere now captures the surrounding context, drastically improving the accuracy of translations and explanations.
Integrated Settings: No more digging through menus. Open and tweak your settings directly from the chat window.
Smarter Tools: Enhanced file encoding detection and optimized web search prompts for more precise answers.
Step 150 of debugging why a payment does not get saved to a database. Two days on this one bug. And there are plenty more. If you can build somehing that will do the back-and-forth, the "now try this and tell if it... no? Okay, le's do this thn, and this, and that..." Do what Claude Opus 4.5 is tellling me to do, the tens of hours, to get to the solution. Automate that and you have a winer - becuase there are 100K full-stack devs who will do all this more effienctly themselves, yes. but there are 10M non-developers who love what they built, but are getting killed in the debugging, the last 5%.
A few weeks ago, Swytchcode launched on Product Hunt and became the #1 Product of the Day.
The launch was exciting, but what happened after has been even more interesting. As we close out the year, here's a quick and honest update on what post-launch life looks like for us and where we're headed next.
I ve been building a simple tool for makers who want quick, frictionless user feedback directly from their site.
It s lightweight, fast, and drops easily into any stack.
I d love to know: What s your biggest struggle with collecting feedback? What channels work best for you? Does a 10-second feedback button sound useful? What features matter most to you as a founder/dev?
Sharing to learn, not just promote honest feedback would really help me shape the roadmap
Hey everyone, sharing a small but meaningful milestone.
BeamUp finally got its first paid user, 5 months after launch. What made this really special is that the user came in organically, started using BeamUp with Google Drive, and upgraded on their own, without me reaching out or changing any messaging beforehand.
BeamUp is a no-code upload portal that lets people receive large files directly into their cloud storage, no servers, no backend, no retention.
Here s what surprised me: Even though someone understood BeamUp well enough to upgrade, I realized many visitors weren t actually understanding the core value from the landing page. The concept is simple once it clicks, but unfamiliar at first glance.
Yesterday I launched something weirdly simple but surprisingly powerful, a resume that never dies.
You download the PDF once and it keeps updating itself forever. Projects, skills, links, everything stays alive.
The launch went way better than I expected (we even hit the top charts (#6 )), and I m insanely grateful to everyone who checked it out, messaged, upvoted, or just got curious for a second
Haimeta now supports Google s latest Nano Banana 2 Pro jump in and try it free today.
We believe the future of creativity is atomic: ideas broken into tiny units that can be endlessly remixed and reimagined. With Haimeta + Nano Banana 2 Pro, creation becomes real-time remixing, fast iteration, and playful experimentation.
Here s something uncomfortable I ve learned building AI agent systems:
AI rarely fails at the step we re watching.
It fails somewhere quieter a retry that hides a timeout, a queue that grows by every hour, a memory leak that only matters at scale, a slow drift that looks like variation until it s too late.
Most teams measure accuracy. Some measure latency.
Here s something uncomfortable I ve learned building AI agent systems:
AI rarely fails at the step we re watching.
It fails somewhere quieter a retry that hides a timeout, a queue that grows by every hour, a memory leak that only matters at scale, a slow drift that looks like variation until it s too late.
Most teams measure accuracy. Some measure latency.
Me & @marianaprazeres will be at Web Summit in Lisbon (presenting on Weds on Alpha) this week and we're in San Fran (16-20) next week - if any builders want to connect with us, we'd love to say hello!
