To hard paywall or not — that is the question!

Launched brandingstudio.ai on Product Hunt yesterday, so this thread is hitting differently.

We went with a free tier that lets people complete the first module, BrandDNA, in full. They get real, substantive brand strategy insights before ever seeing a paywall. The reasoning was exactly what Gianmarco said: the aha moment has to land before you ask someone to pay. For branding that moment is when the strategy clicks, when someone reads their brand positioning and thinks "yes, that's exactly it." A hard paywall before that feels like paying for a promise.

The RevenueCat data is compelling, but I think the variance is key. Hard paywalls work when the product category is already understood and the user arrives with intent. They struggle when you're in a category people haven't fully mapped yet, like AI branding, where showing beats telling every time.

For PH specifically, David's point about desktop context matters too. PH traffic is mostly founders and makers evaluating tools, not casual mobile browsers. That audience wants to poke around before committing. Blocking them on Day 0 probably costs more upvotes than it gains in conversions.

The onboarding quality argument feels like the real conclusion though. A hard paywall with exceptional Day 0 onboarding probably outperforms freemium with mediocre onboarding every time. The model matters less than whether someone feels value before they're asked to pay.

How about the Free Tier. Not the Fremium but absolutely Free to use?

Paywalls are tricky. Hard paywalls can protect revenue, but they also reduce discovery and user trust early on. A lot of successful products seem to win first with value, then introduce monetization later.

Another insight from the report I found interesting is that the battle for the subscriber is usually decided in the first session. A huge number of conversions happen immediately after onboarding, meaning the product either demonstrates value right away or it doesn’t. Going with the numbers, it looks like a hard paywall may have less of an impact than the immediate perceived value of the product.

We went freemium with Hello Aria and it’s been the right call so far — but I’ll be honest, it took us a while to commit.

Hard paywall made us nervous because our product requires some habit formation. You need to use it for a few days to "get it" — blocking people before that moment kills conversion before it starts.

But free forever with no limits is just charity. So we landed on: free core, paid for depth. The free tier is genuinely useful, not a crippled demo. Paid unlocks calendar sync, team features, and priority AI.

What we noticed: users who stay free for 7+ days convert at a much higher rate than those who try to upgrade on day 1. The free tier is doing its job — building the habit. The paywall is working by staying out of the way.

Nice points. I think we have a lot being inherited from the SaaS model, which was basically rent a server for $50–$500 per month, host hundreds or thousands of users, and make 60–90% margins on a few paid clients, and easily give away Freemium or Free Trial access.

But now we're moving to AI-first solutions, burning through tokens, integrating with multiple API sources, which are 95%+ paid services, etc.

This means, from the moment the user lands and starts doing anything, your bill goes up, and either you must have millions to subsidize, or you are forced to charge clients.

You don't have the budget to let 100 users use it for free with zero buying intentions, so 5–10 might convert.

I think token costs will go down, API prices might come down too (not talking about LLMs, but other API accesses, like SaaS APIs, data providers, etc.), and eventually we might relax the cost prices, but we must know a fundamental difference between AI-first solutions and SaaS:

1. SaaS is a tool, and you ARE paying for it from the moment you land — it's just your time!

2. AI-first solutions are meant to SAVE your time, so again, you probably should pay from the moment you land on the product, but this time it's a tangible fractional price, which is just a small portion of the time you're saving.

the whole hard vs soft paywall debate feels like it only applies to a narrow slice of products honestly. for anything compute-heavy or API-based the answer is just usage-based pricing and it sidesteps the question entirely. let people use it for real, charge when they hit scale. no wall, no trial expiry, no day 0 pressure games. the RevenueCat data is almost entirely mobile consumer apps where the psychology is totally different from dev tools or B2B SaaS. applying those conversion numbers to a PH launch of a developer product is comparing apples to sandwiches.