For years, SaaS pricing revolved around seats.

If you're adding more teammates then pay more.

This was simple, predictable and scalable.

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.

Hi Product Hunt family,

We re building Vartiq a Webhook-as-a-Service platform that takes the pain out of delivering millions of events reliably.

When I started Concrete, I thought growth meant hiring more sales reps.

Wrong....

I learned that scaling sales is about systems, not headcount.

Over the last year, we built APOS an AI-powered outreach machine that:

Not long ago, books/video tapes were the only way to learn. Then video entered the picture: courses, tutorials, and lectures made knowledge more accessible than ever.

Now? The internet is overflowing with millions of courses, books, and resources on every imaginable topic.

So the real question is:

Hey there, lately I ve been thinking on why do presentations still feel so manual?

Even with all the tools out there, making a deck still takes a ton of effort. And once it s done, it s usually just a bunch of static slides. You present, people (hopefully) listen, and that s it. Especially for things like onboarding or training, it still feels like a one-way street.

Hey Product Hunt! I'm the co-founder of Flowjin, and here's our story

We built Flowjin because we were tired of seeing great content get buried in hour-long recordings. We started with a simple MVP in 2022, and now we're at 800+ paying users!

Our mission? Transform long-form content into short, high-performing clips that actually get watched.