How do you decide what features should be free and what should be paid?
Let me start from the creator’s perspective:
I personally don’t have a product (apart from hiring people for creative work or offering personal consultations).
But as a creator, I constantly share content, insights, and information, value that helps me build trust (for free). Based on that perceived expertise, people eventually decide to work with me (a paid service).
So some things I share for free to eventually move toward a paid collaboration.
Personally, it’s sometimes hard to judge when I might be giving away too much for free.
And I assume it’s similarly tricky for builders.
You want users to try the product, but then comes the question of paid features, or a trial limited by time or usage.
How do you decide which parts of your product or service remain free, and which become paid?
When I share content publicly, I usually provide generalised advice. But when it comes to a specific case or a tailored strategy that requires a personal approach, that’s where it becomes paid.
Replies
the real answer nobody here is saying: if your product has variable costs per user (like AI inference), your free tier IS your marketing budget. treat it that way.
i run AI-heavy pipelines and every prompt costs real money. so i structured it as: free tier = enough to hit the wow moment, maybe 5-10 uses. paid = unlimited or high volume. the key insight was tracking exactly where users go from "oh cool" to "i actually need this in my workflow" and putting the gate right after that moment.
what changed everything for me was caching aggressively. i cache outputs with vector similarity search so if someone requests something close to what already exists, i serve the cached version instead of burning another API call. cut my costs by 60-70% overnight. suddenly the free tier became way more generous without actually costing more.
the trial vs freemium debate is a false choice imo. trials work when your product needs time to click (like writing tools or habit apps). freemium works when value is immediate but scales with usage. combining both usually just confuses people about what theyre actually getting.
I think about free vs. paid as an optimization function.
Your free tier exists to attract the volume of users you need to hit your paid conversion targets. The parameters are simple: the higher the value your paid tier delivers, the fewer free users you need in the funnel.
So the real question isn't "what do I give away?" It's "how valuable is my paid tier, and how many free users do I need to reach the paying ones?"
I'm building Olkano, a daily check-in app for people who live alone. Free gives you the core experience — one contact gets alerted if you miss a check-in. Paid unlocks unlimited contacts. The free tier is fully functional, not a teaser. But it creates natural demand for more.
The way I see it: your free tier is just the cost of advertising. The difference is that instead of paying Meta or Google, you're "paying" by running infrastructure for free users. And unlike ads, those free users already know and trust your product when they convert.
The way we think about it at PrometAI: free should solve a real problem on its own, not just hint at one. If the free tier feels like a demo, users churn before they ever see the value.
The line we drew was between breadth and depth. Broad access is free. The deeper the output, the more it becomes a paid feature. That way someone can get genuine value without paying, but scaling that value requires upgrading.
The "giving too much away" anxiety is real, but in practice most people don't convert because of what they got for free. They convert because they trust the product enough to pay. Free builds that trust.
I'm Narek, co-founder of PrometAI. We built an AI business planning platform trusted by 100,000+ founders worldwide. From idea validation to financial projections, we guide the whole journey. Relaunching on PH soon! Follow along if that sounds interesting. Let's connect!
Simple framework we use at ReadyPermit.ai:
Give away the thing that creates the "oh crap" moment for free. Charge for the solution.
Our free flood zone checker tells homeowners if their property is in a flood zone. Takes 20 seconds. Free, no signup.
The "oh crap I'm in a flood zone" moment? That's when they want the full property report — zoning, buildability, environmental risk. That's paid.
Free tool = trust + traffic. Paid report = revenue.
The mistake most people make: they gate the awareness. Don't. Gate the action.
Simple framework: give away what creates the "aha moment." Charge for what creates the outcome.
We give the first report free. It takes 20 seconds. The user sees exactly what they'd pay a consultant $3,500 for. That's the aha.
The paid version? More reports, deeper analysis, API access. That's the outcome -- they're now making money decisions with it.
Free should make people feel stupid for not paying. If your free tier doesn't sell your paid tier, it's not generous enough.
Murror
building a loneliness app (Murror) and this question is genuinely hard for us. the core value is connection and feeling understood, which is hard to gate without it feeling cruel. what we keep coming back to is: free should be enough to feel the thing, not just a taste. if someone tries it for a week and leaves still lonely, that's a product failure not a conversion opportunity. so for us free = enough depth to feel real, paid = continuity, memory, the relationship growing over time. still figuring it out honestly.
Everything should be free! 😄 but costs come in between.
I think free works best when the value isn’t immediately obvious. People need to actually use the product to understand if it’s worth it especially in something like dev tools or infra where the benefit shows up over the time.
But free should be genuinely usable and not hit a gate immediately. If users can't do anything meaningful, it feels like a trick.
In our case at RedirHub, it’s a bit different. Most users don’t wake up thinking about redirects. It’s something that suddenly becomes important, like during a website migration or a marketing campaign. When that moment comes, the need is immediate. They just want something that works. Most don’t really care how it works under the hood.
So for us, free has to remove friction completely. It has to let them solve the problem right away without thinking too much. If they hit limits too early, they’ll just leave for a competitor.
At the same time, we still need to keep the lights on. So the idea is to let users actually complete a real task for free, not just try the product.
For example, we expanded our free plan to support full website migrations. You can move your entire site and be done. No catch. But once that’s done and things start growing, users naturally begin to care about analytics, monitoring, or scaling, and that’s where paid fits in. You can see our launch here if interested - https://www.producthunt.com/products/redirhub-url-redirector-and-tracker?launch=redirhub-website-migration
So for me it’s less about gating features and more about timing.
free = solve the immediate problem, usable
paid = support what comes after
Also saw an interesting counterexample recently. I used a resume builder that offered one free resume creation with all features. Sounds great but realistically most people only need one resume and can just keep updating it. So the free plan basically gives away the entire value of the product, and there's no real reason to ever upgrade. That felf like a case where "free" wasn't thought through properly.
Hello Inbox
Now that AI companies are scraping the web, I will no longer publish blog posts sharing my knowledge/expertise. All my deep industry knowledge will be private and behind a paywall. I will still write blog posts but it will focus on how to solve X problem with our tool without giving away any deep industry knowledge or expertise. I have a free plan but it's very limited and used to show users a wow moment.