Product Positioning & Context
Most side projects fail quietly: months of building, then nobody pays. Would you pay? shows your startup to real people who swipe right only if they'd pay for it. You see the % who'd pay, who they are, and who clicked through. Free.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Would you pay??
Would you pay? is a digital product or tool described as: Find out who'd pay before you build more
Where did Would you pay? originate?
Data for Would you pay? was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Would you pay? publicly launched?
The initial public indexing or launch date for Would you pay? within our tracked developer communities was recorded on September 29, 2026.
How popular is Would you pay??
Would you pay? has achieved measurable traction, logging over 115 traction score and facilitating 22 recorded discussions or engagements.
Which technical categories define Would you pay??
Based on metadata extraction, Would you pay? is categorized under topics such as: Marketing, SaaS, Startup Lessons.
What are some commercial alternatives to Would you pay??
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Unfenced, which offers overlapping value propositions.
How does the creator describe Would you pay??
The original author or development team describes the product as follows: "Most side projects fail quietly: months of building, then nobody pays. Would you pay? shows your startup to real people who swipe right only if they'd pay for it. You see the % who'd pay, who they ..."
Community Voice & Feedback
Cool idea! I think without some focus on types of ideas it's a lot to ask of people, and is very tech focused. I think each card needs a bit more information too, it's very hard to know from a one-liner whether something is a good idea or not. Still, there were a few in there that caught my attention! Well done on the launch.
I'm so happy I came across this today! I have found myself being caught in the trap of continuously developing enhancements to ensure real value for a paid tier of my app, this will give me some valuable clarity on that. I will definitely give it a try and look forward to the feedback I get from it as I prepare for my first product hunt launch
How do you decide which people see a particular startup idea? Is it based on their interests or the type of product?
Love the idea. Validating whether people would actually pay before spending months building is such a simple but valuable concept. Congrats on the launch! 🚀
@mustafaergisi Congrats on the launch, Mustafa! 🎉 Swiping right only if you'd actually pay is a smart, honest way to validate ideas. Wishing you a great launch day!
genuinely curious how you handle the gap between a swipe and a wallet. people are famously generous with "yes I'd pay for that" when there's no card on the line, it's a big part of why founders get burned chasing validation that never converts. do you push anyone past the swipe to an actual pre-order or waitlist deposit, or is the signal here meant to be directional only, more people to keep talking to rather than a real demand number?
Congrats on the launch! What's the benefit for the target audience who are swiping? I work with early-stage startups and this is such a fun way to see initial interests.
Congrats, a price range on every swipe would sharpen this
Would you run your next idea through a quick validation tool like this before writing a single line of code?
Hey Product Hunt 👋
I've launched a lot of side projects (AI2SQL, AI2image, CrewClaw and more). The painful pattern was always the same: months of building, a launch, and then silence. Nice comments told me nothing about whether anyone would actually pay.
So I built Would you pay?. It asks one question per startup: would you pay for this? Swipe right if yes, left if not. It's a harder yes than a like, and that's the point.
For makers:
• Add your startup with just your URL, we read your site and build the card
• After 10 swipes you see the % of people who'd pay
• You also see who they are (developers, founders or marketers) and how many clicked through to your site
I put my own products in first. The best one got 38%, some landed around 20%. Painful, but far more useful than guessing.
In the first day, 6 makers added their startups and 27 people swiped 172 times.
I'd love your honest take: what would make this data more useful to you? One idea from a Reddit comment is asking "how much?" after a right swipe.
I've launched a lot of side projects (AI2SQL, AI2image, CrewClaw and more). The painful pattern was always the same: months of building, a launch, and then silence. Nice comments told me nothing about whether anyone would actually pay.
So I built Would you pay?. It asks one question per startup: would you pay for this? Swipe right if yes, left if not. It's a harder yes than a like, and that's the point.
For makers:
• Add your startup with just your URL, we read your site and build the card
• After 10 swipes you see the % of people who'd pay
• You also see who they are (developers, founders or marketers) and how many clicked through to your site
I put my own products in first. The best one got 38%, some landed around 20%. Painful, but far more useful than guessing.
In the first day, 6 makers added their startups and 27 people swiped 172 times.
I'd love your honest take: what would make this data more useful to you? One idea from a Reddit comment is asking "how much?" after a right swipe.
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.
SaaS Metrics