I keep seeing advice like use this model for the easy stuff and that one for complex problems. But it makes me wonder what really counts as a complex problem for an LLM?
For us, complex usually means lots of steps, deep reasoning, or tricky knowledge. But for AI, the definition might be different. Some things that feel easy for us can be surprisingly hard for models, while things that seem tough for us (like scanning huge datasets quickly) might be trivial for them.
Hey Makers I m exploring options for managing subscriptions, payments, and authentication in a super simple way. Ideally, something that s: 1. No-code / low-code friendly 2. Easy to integrate without a ton of setup 3. Handles the boring stuff like billing, invoicing, cancellations, and user access automatically
I ve looked at a few tools, but many feel too heavy for a small MVP. Curious to know: What are you using right now? Any lightweight tools that worked really well for your early-stage product? Bonus if it has a generous free tier or is affordable for indie founders. Would love to hear what s working for this community before I commit to something!
With this whole AI trend, many tools are trying to be invisible: not apps you open, but helpers that quietly run in the background. They show up just enough interface: a chat box, a nudge, or an API call to deliver value, but otherwise stay out of sight.
With today s agent hype, this idea feels like it s accelerating. Agents promise to handle tasks across your apps without you lifting a finger.
Our first Product Hunt launch didn t go well. We put something out there, pushed for votes, and hoped for the best. It didn t work.
For our relaunch, we took a completely different approach. Here s what changed:
Engage, don t just post. We spent weeks commenting on other launches, supporting makers, and building trust. This time, people recognized us, not just the product.
Conversations > upvotes. What made the difference were detailed comments and feedback. The algorithm rewards authentic engagement.
Storytelling > specs. Instead of listing features, we shared why we built it and the problem it solved.
Timing is everything. Launching at midnight PST gave us momentum when the U.S. audience woke up.
Expectation reset. PH is less a sales channel, more a credibility engine. The real ROI shows up later, in awareness, trust, and partnerships.
What stood out the most: The community. The honest feedback, encouragement, and tough questions shaped our roadmap more than any internal discussion could.
Every day, I notice fewer people sharing their projects here.
A couple of months ago, build in public felt unstoppable: everyone was posting updates, numbers, roadmaps. Now? The hype seems to be fading or maybe makers are just shipping quietly.
