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7mo ago

How do you estimate the value of your audience when selling sponsorships?

I've been thinking a lot about audience monetization lately, especially for founders and indie makers.

Many of us slowly build small but valuable audiences over time:

  • newsletters about startups or AI

  • niche blogs or dev communities

  • SaaS products with engaged users

  • waitlists or early adopter communities

  • founder-focused X / Twitter audiences

At some point sponsorships start to make sense.

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1yr ago

How a Cuban Developer built and publish an app against all odds

Want to know how a Cuban developer is breaking the rules, and going further than anyone else in the country? I m pretty sure you don t know all the struggles of being a Cuban developer. Trying to build and publish your own app for the rest of the world? That s playing on hard mode. First, you can t publish apps or even access some websites from Cuba. We don t have access to Mastercard, Visa, or any international banking for online payments. But I did it anyway. I built an app, one that would have helped me when I was lost, wasting my life playing video games like so many other young guys. At 21, I realized I needed to take control of my life and build better habits. Now, at 23, I ve made it happen. I wanted an app to track healthy habits, but most of them were either ugly, bloated, slow, or just distracting. I also needed something to keep me motivated on the lonely path of self-improvement, like a little nudge when I needed it most. So, I built it myself. A few days ago, I finally published it. But with no strong following, ranking high is tough. Still, I m pushing forward, trying to get users and make an impact. That s my story. Hope you find it interesting and thanks for reading.
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7mo ago

What was the moment you knew you had to pivot?

We started as a sustainable made-to-order clothing brand. Custom pieces, small batch, everything done internally sourcing, pattern making, grading, cutting, production. The unit economics actually worked because we controlled the whole chain. We even partnered with creators in the thrifting space to get the word out.

But we still couldn't reach enough people. Getting a small brand in front of a large audience without a huge marketing budget is a different kind of impossible. We were bootstrapping and every channel felt like shouting into the void. The product was good. The audience just couldn't find us.

That was the moment realizing we didn't have a product problem, we had a distribution problem. And no amount of improving the clothes was going to fix it.

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1yr ago

GPT's Creator - I’d love to hear your thoughts

I ve been building a lot of custom GPTs for niche use cases lately, and every time I create one that s actually useful I run into the same problem: I can t monetize it inside the GPT Store.

Right now:

  • All GPTs on the store are free

  • There s no way to offer paid or private versions

  • No control over who uses them, or how often

So I started wondering:

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7mo ago

Does launching fast actually matter anymore?

One piece of advice we hear all the time in startups is: launch fast. Ship early, test with real users, and improve along the way.

But lately it feels like the landscape is changing. With so many products launching every day, sometimes a half-baked launch disappears instantly, while more polished products seem to get better traction.

So I m curious about your experience:
Is launching fast still the best strategy?
Or is it better to wait a bit longer and launch something more refined?
Have you seen examples where speed helped a product win, or where quality at launch mattered more?

Would love to hear how other makers here approach this balance between speed and quality.

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1yr ago

Launching my first ever Product. How do you manage uncertainty and expectations?

Freaking out here. I feel like I ve done it, but I also feel like I m going to fail. Then I think, who cares, right? I did something.

You understand? It feels like my mind is mush.

I m excited, scared, confused.

This product isn t huge, but after a bachelor s, a master s, and a couple of jobs, it finally feels like I ve built something for someone.

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7mo ago

Traveling and have no access to internet.

Look forward to giving up the streak I get so much outreach on LinkedIn and across social because of my streak. Which is long, but not as long as others. Happy that this will force people to find something else to say to me when they reach out to me. It was a good run.
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1yr ago

Anyone else struggling to track costs when using multiple AI services in your automations?

Hey Product Hunt community!

I've been building some increasingly complex automations lately across different platforms (Make.com, n8n, Zapier) that connect multiple AI services together. While the technical side works beautifully, I'm hitting a major pain point: figuring out how much each automation actually costs to run.

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1yr ago

Is the "one-person startup" dream actually real?

Feels like everywhere you look right now, there s a new AI tool promising you can build a company solo.
No team. No budget. Just you, a laptop, and some clever prompts.

And sure building something solo has never been easier.
But building something that lasts? Feels like a different game.

You can ship faster. You can look bigger than you are.
But can you really wear all the hats founder, marketer, builder, support forever?

  • If you're building solo right now, what s been harder than you expected?

  • If you scaled a team, when did you know it was time?

Principles for building AI-native products?

Hey Product Hunters, The "AI-powered" wave is everywhere, and it's exciting! But as builders, it makes me think: are we always pushing 'AI-First' in a way that truly benefits the user, or are we sometimes just adding AI features, potentially increasing complexity, and calling it innovation? Having spent time building a tool where AI is foundational rather than an add-on, my strong belief is that true AI-First design should fundamentally be about subtraction, not addition. The goal should be a significantly simpler, more intuitive user experience than a non-AI alternative. Based on my experience, here are some principles I focus on for genuinely AI-native products: * Automation for Simplicity: AI's power should be used to abstract away underlying complexity. It should take raw data, complicated processes, etc., and deliver a clear, simple output or actionable insight to the user. * Proactive Value Delivery: The AI shouldn't just sit there waiting for user input. It should proactively surface what's important, highlight changes, or suggest the 'next best action' without the user having to manually pull or analyze. * Built-in Adaptability: A truly AI-native product learns from the user and data patterns to adapt the experience over time, ideally simplifying onboarding and personalizing the workflow without requiring extensive manual configuration from the user. The core idea is to use AI to do the 'heavy lifting' the mundane, time-consuming tasks the user previously had to grapple with manually. The product should deliver the result, the insight, or the recommended action directly, rather than requiring the user to navigate complexity to find it. If integrating AI requires users to learn more steps or adds layers of complexity, it's likely missing the point. The real magic of AI-First is its potential to drastically lower cognitive load and accelerate time-to-value. It's less about the number of AI features, and more about how AI enables simplicity and proactive usefulness. Curious to hear your thoughts and experiences! As builders or users, what are the best examples you've seen of AI genuinely simplifying a product or workflow? Conversely, where has it added frustration? And importantly, what UX/product principles do you believe are non-negotiable when building truly AI-native experiences? Let's discuss!
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