The validation gap that social media creators keep falling into
Every creator I know has shipped something into the void and waited for the algorithm to tell them if it was good. A product launch. A paid tier. A course. A sponsorship package. The silence afterwards is the worst part, because silence doesn’t tell you whether the idea was bad or whether the distribution was bad. Two very different problems, one identical outcome.
That’s why Would you pay caught my attention on Product Hunt this week. It’s a swipe-based validation tool built by Mustafa Ergisi — the maker behind AI2SQL, AI2image, and CrewClaw — and it asks a single question per card: would you pay for this? Swipe right for yes, left for no. The framing matters more than the mechanic. A “yes” on a like is cheap. A “yes” on “would you pay” is a different kind of signal, and that’s the entire thesis of the product.
If you run social accounts for a living, this is not a product you’ll use directly. But the mechanic underneath it — cheap, fast, directional signal from a real audience — is exactly the thing most creator businesses are missing.
What the product actually does, and what problem it’s solving
The setup is deliberately minimal. A maker adds their startup with just a URL, and the tool reads the site and builds a card automatically. Swipers see a deck — right now the same deck for everyone, in random order, with one rule: new startups that haven’t hit 10 swipes yet get pushed to the front so every maker gets results fast.
After 10 swipes on a given startup, the maker sees the percentage of people who said they’d pay. They also see who those people are — developer, founder, or marketer — and how many clicked through to the site. No signup required for swipers, no email gate, nothing to lose.
The maker’s own numbers, shared in the launch thread: his best product landed at 38%, others around 20%. In the first day, 6 makers added startups and 27 people swiped 172 times. That’s tiny — I want to be clear about that, because launch-day numbers always look like traction and usually aren’t. But the shape of the mechanic is what I’m interested in, not the current sample size.
The problem it’s solving is one I’ve watched play out across the creator economy for years. Makers spend months building, launch, get polite comments, and learn nothing. The team’s framing is explicit: a like is not a yes, and a nice comment is not a purchase intent signal. That’s correct, and it’s a distinction most creators still don’t make when they poll their audience.
Why this is a social media story, not just a maker story
Here’s the part I keep coming back to. Every creator with an audience already has a validation engine sitting in their DMs, comments, and poll stickers — and almost nobody uses it properly. The Instagram poll sticker asks “do you want this?” and gets 400 yeses. Then the creator builds it and 12 people buy. The gap between “yes I want this” and “yes I would pay for this” is where most creator product launches die.
Would you pay is essentially a formalized version of a question creators should be asking constantly. Not “do you like this?” but “would you exchange money for this?” Those are different questions with different answers, and conflating them is the single most expensive mistake I see in the creator-to-product pipeline.
How it stacks up against the validation tools you already know
The obvious comparison is Product Hunt itself, which is where this launched. Product Hunt gives you upvotes, comments, and a launch-day spike. It does not give you a payment-intent percentage, and it certainly doesn’t segment respondents by role. The two are complementary — PH for distribution, Would you pay for signal — but they’re answering different questions.
The closer comparison is Poll The People and the broader category of paid survey and concept-testing tools, plus the free-tier audience poll features baked into Instagram Stories and LinkedIn polls. Those tools are cheaper to run and already inside platforms you use. What they don’t do is force a binary pay/no-pay decision, and they don’t tell you who’s answering.
There’s also a quieter comparison worth naming: Gumroad pre-orders and Kickstarter campaigns. Those are the gold standard for payment validation — real money, real commitment. But they require you to have a finished-enough product and a real audience. Would you pay sits upstream of that, in the fuzzy pre-build phase where most creators actually get stuck.
My take: this is not competing with Gumroad. It’s competing with the vague “should I build this?” group chat you have with three friends who will tell you yes no matter what.
Where the mechanic gets interesting for social operators
If you run paid social or organic content for a brand, you already do a version of this every day. You test hooks, thumbnails, and CTAs against small audiences and scale what works. The swipe deck is the same logic applied to product concepts instead of creative. The role segmentation — developer, founder, marketer — is the part I’d steal. Most social teams segment by platform and demographics but never by job to be done, which is usually the variable that actually predicts conversion.
What creators and social media teams can borrow from this
I’ve been running an experiment in my own head since reading the thread, and I think there are three transferable moves here regardless of whether you ever touch the product.
One: ask for payment intent, not interest. If you’re a creator with a newsletter or a community, your next product poll should not be “would you use this?” It should be “would you pay $X for this?” The discomfort is the point. A soft yes tells you nothing. The team’s own design choice — making “would you pay” the literal question on every card — is the lesson.
Two: segment respondents by who they are, not just how many. The maker’s reply to a question about audience targeting is worth reading in full: right now everyone sees the same deck, and instead of filtering who sees what, the tool asks swipers their role so makers see who would pay. That’s a genuinely smart inversion. Most creators optimize for reach and then wonder why the audience that engaged isn’t the audience that buys. Asking two qualifying questions up front is cheaper than running a campaign to the wrong segment.
Three: give the respondent something back. This is the weakest part of the current product, and the maker knows it. In response to a question about what swipers get out of it, he listed a fun 30-second discovery loop, a direct line to the maker, and no signup — then admitted he wants to give “I’d pay” swipers something real, like early access or a launch discount. That’s the right instinct. Every validation mechanic that survives long-term pays its respondents in something: status, access, information, or money.
Why TikTok creators should care more than LinkedIn ones
This is where I’ll get specific about platforms. The swipe mechanic maps almost perfectly onto TikTok and Instagram Reels behavior, where the audience is already trained to make a binary judgment in under two seconds. A creator with 50k TikTok followers could run a “would you pay for this?” series natively — card on screen, poll sticker, one product per video — and get directional signal at a scale Would you pay can’t touch yet.
LinkedIn is the opposite case. The audience there will happily tell you your idea is brilliant and then not buy it. High stated intent, low revealed intent. If you’re validating a B2B tool or a professional service, LinkedIn polls will lie to you. The swipe deck, at least, forces a binary.
YouTube sits in the middle. Long-form lets you explain the offer properly, which fixes the biggest complaint in the thread — that a one-liner isn’t enough to judge an idea. But YouTube’s feedback loop is slow. You’ll wait weeks for signal that a swipe deck gives you in a day.
Where my judgment says it falls short
I want to be balanced here, because the launch thread itself surfaces most of the real problems and the maker engages with them honestly rather than deflecting.
The card is too thin to judge. Ben Slinger’s comment is the sharpest critique in the thread: without focus on types of ideas, it’s a lot to ask of people, it’s very tech-focused, and each card needs more information because a one-liner isn’t enough to know if something is a good idea. That’s correct. A URL-scraped card can’t communicate pricing, target user, or the actual job to be done. The maker’s own workaround — telling a commenter to use a screenshot of the pricing page as the card image — is a hack, not a fix.
No price signal yet. Maxwell’s suggestion of a price range on every swipe is the single highest-leverage improvement, and the maker agrees, floating fixed ranges ($5 / $10 / $25+) versus a slider. A yes/no tells you if there’s demand. A price tells you if there’s a business. Until this ships, the 38% number is directionally interesting but commercially incomplete.
The sample is small and the audience is narrow. 27 people and 172 swipes in day one is not a market. The deck is currently tech-heavy because that’s who’s on Product Hunt on launch day. A creator validating a fitness course or a knitting pattern would be swiping into a room full of developers and founders. The maker acknowledges matching by interest is on the list “as the deck grows” — which is honest, but it means the tool is not useful for non-tech creators yet.
Incentive alignment is unresolved. Swipers currently get a fun 30 seconds. That’s not enough to sustain swipe volume, and without volume the percentages are noise. The maker’s proposed fix — early access or launch discounts for “I’d pay” swipers — is the right direction but creates a new problem: if swipers know a right swipe unlocks a discount, the signal inflates. Classic reward-hacking risk, and I’d want to see how they handle it.
Who this is NOT for
If you already have a paying audience, skip it — you have better signal than a swipe deck will ever give you. If your product is physical, high-ticket, or requires explanation, the one-liner format will mislead you. And if you’re a creator whose monetization is ad revenue or brand deals rather than a product, this is a curiosity, not a tool. The people who should care are indie makers and creator-operators in the pre-build phase, ideally with a tech-adjacent audience.
What I’d watch, and test next
Three concrete things I’d do this week if I were running a creator business or a small social team.
First, run the payment-intent poll on your own audience — this week, not next month. Pick your next product idea, put it in front of your Instagram Stories or LinkedIn audience, and ask “would you pay $X for this?” instead of “would you use this?” Compare the two numbers. The gap will tell you more about your audience than any analytics dashboard.
Second, watch whether Would you pay ships the price-range step and the interest-matching, because both are the difference between a launch-week novelty and a tool with a real use case. The maker has signaled both are planned; execution is the question. I’d also watch whether the respondent incentive gets solved without inflating the signal — that’s the hardest design problem in the whole product.
Third, steal the role-segmentation idea for your own content. If you’re testing hooks or offers, ask two qualifying questions before you look at the results. “Would you pay” plus “what’s your role” is a far more useful data pair than a raw engagement rate, and it costs you nothing to add to a poll or a landing page.
My honest read: Would you pay is a well-aimed idea with a thin current product and a small early sample. The mechanic is right, the question is right, and the maker is engaging with criticism instead of hiding from it — which is more than I can say for most launch-day threads. Whether it becomes a real validation layer for the creator economy depends entirely on whether the price signal and the audience matching ship before the launch-week attention fades.
