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.
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Solo dev here, built a productivity app (Flowmodoro). My approach: the core experience should always be free and genuinely useful on its own. If the free tier feels crippled, people just leave. For me the paid features are the "power user" stuff — detailed stats, achievements, advanced customization. Things that someone who already loves the app will happily pay for because they're hooked on the workflow. The mistake I see a lot is putting basic functionality behind the paywall. If someone can't even feel the value of your product before paying, why would they pay? Let them fall in love first 😄
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@thenomadcode For how long have you been building that app?
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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.
minimalist phone: creating folders
@ismaelyws Maybe try LinkedIn, that's quite aversive and strict against scraping.
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@busmark_w_nika IMO the problem is much bigger than that. Big deals are being done behind the scenes for raw, private user data to train LLMs. At some point Linkedin will do the same. Only a matter of time. I think everyone should keep ALL their deep industry knowledge private and secure.
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@ismaelyws With their growing user base, I have to agree. But that's the meaning of each corporate that wants profits (even more profits)
One pattern I keep seeing: teams don't just struggle with the free/paid split — they struggle to gather current competitor, pricing, and user-signal evidence fast enough to decide confidently. I'm testing a fixed-scope, one-off research brief for exactly that decision layer. Curious whether a source-backed brief would be more useful here than another brainstorming session.
Real example from the trenches: We built ReadyPermit -- an AI property intelligence tool that screens 142 zoning, flood, setback, and buildability factors on any US address.
Our free vs paid split came down to one question: what gives someone enough value to trust us with their wallet?
Free: 4 standalone tools (Flood Zone Checker, Zoning Lookup, ADU Eligibility, Buildability Score). Each one solves a real problem on its own. People share them. They come back.
Paid: The full 142-factor report that replaces a $3,500 consultant. That's where the depth lives.
The framework that worked for us: give away the "what" for free, charge for the "so what." Anyone can look up if they're in a flood zone. But knowing what that means for their specific build plan, setbacks, permit timeline -- that's where people pay.
5,000+ reports delivered so far. The free tools are our best acquisition channel by far. Not even close.
In the dating space, the free tier needs to be useful enough that people experience real value - seeing profiles, basic searching. But the paid features should solve a specific pain point: video chat, AI coaching, verified profiles. If your free users can't tell you what they're missing, your paywall isn't positioned right.
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.