Summary: Yupp is a new chatbot platform that pays users for evaluating responses from competing AI models. Unlike other AI tools that rely on a single backend, Yupp routes prompts through a pool of over 500 models and then rewards users who help identify which outputs work better. Those users earn up to $50/month—small payouts, but part of a loop that trains AI through crowd feedback. Behind the scenes, user votes and reasons are anonymized and sold to AI companies eager to sharpen their systems. CEO Pankaj Gupta believes this participatory loop is how we shape the future of general intelligence, together.
What Makes Yupp Stand Out: A Market of AI Models Competing for Your Vote
Most people equate AI chatbots with one tool—ChatGPT, maybe Claude, or Bard. But Yupp flips the model. Instead of one AI builder feeding you answers, Yupp presents two at a time from a rotating pool of over 500 different language models. Google. OpenAI. Anthropic. DeepSeek. Even companies you may not recognize, like Mistral and Alibaba, are in the mix. Yupp compares answers head-to-head and lets you decide the winner. It’s AI versus AI, and you’re the referee.
After each prompt, users are shown two responses and asked to pick the better one. That alone would be simple—but Yupp doesn’t stop there. You’re asked to explain why you made that choice. Was one clearer? More creative? Did one miss the nuance? You become a kind of AI quality inspector, and you get paid for it. Through digital scratch cards, you can earn Yupp credits that convert to dollars—up to $10 per day, capped at $50 each month.
The Two-Sided Feedback Economy: How Improvement Becomes a Product
Feedback isn’t just a nice-to-have; it’s a business model. Pankaj Gupta calls Yupp a “two-sided product with network effects.” On one side are the users. They vote, explain, and refine. On the other side are the engineers and researchers inside AI companies, watching those results pile up. Yupp sells that anonymized feedback back to them. This data makes their models better—and when those models improve, they get resubmitted into Yupp’s queue for another round of testing.
This looping cycle means every stakeholder wins. Users get coffee money. Model builders get live market data. The system learns which traits users value—concise wording, nuanced arguments, logical coherence. Instead of polling a few experts, Yupp pulls on the collective judgment of thousands globally. That’s customer validation at scale. And let’s be honest, it’s cheaper than running full-time human quality teams in-house.
A Small Payout for Users, a Massive Payout in Data Value
Let’s not pretend $50 a month will change anyone’s life. Gupta isn’t. He calls it “a few cups of coffee.” That’s intentional. The real currency isn’t the cash—it’s the insight. An AI company trying to release a model update needs to know what breaks, what misfires, and what earns praise before hitting the market. That’s worth millions. And while traditional user testing might be costly and centralized, Yupp’s decentralized format drives real-time corrections based on crowd data.
This puts value in context. Users aren’t just consumers; they’re part of the development cycle. Their thoughts on answers—clear, lazy, off-kilter, too safe—matter precisely because they’re not insiders. The most valuable signal for model makers often comes from regular people making everyday requests and reacting honestly. That’s what you get through Yupp.
Who’s This For? Early Adopters, Everyday Users, and Model Developers
Why would someone sign up? The obvious answer: curiosity and a little pocket money. But there’s something deeper at play. Yupp positions users not as passive recipients of AI, but as co-shapers of it. The platform’s slogan “every AI for everyone” captures that. Whether you’re a hobbyist, teacher, or developer yourself, you’re part of the shaping process. You help select behaviors that the next generation of models will adopt.
On the backend, it’s even clearer who this benefits. AI labs—whether big names or rising challengers—need rapid iteration to stay ahead. If your model’s response keeps losing to someone else’s, that shows up in real time. From a competition standpoint, Yupp brings transparency to what’s working across a fragmented landscape of new models. That feedback generates pressure and insight. Competitive intelligence, at internet scale.
The Philosophy Underneath: Remove Fear, Add Participation
Gupta’s long-term bet is that we’re close—very close—to Artificial General Intelligence (AGI): machines that communicate and reason like humans. It’s a loaded topic, with plenty of worry. That fear may be justified, but instead of waiting passively, Yupp gives people something active to do. Click. Compare. Explain. Shape.
No one’s pretending this changes global AGI development overnight. But a platform where people earn small incentives while guiding AI training closes the loop between user needs and builder ambition. Rather than leave artificial intelligence to engineers and policy debates, Yupp hands the public a lever. Maybe smaller than we like. But at least it’s a lever, and the direction it moves matters.
Yupp vs. LM Arena: The Differences That Matter
Yupp’s primary competition right now is a more nerdy offering—LMArena. That’s where AI insiders test new models among themselves. It lacks the payout system, broader user base, and money incentive. That means LMArena serves a smaller group of insiders, while Yupp pulls in a wider sample of everyday users. If you care more about what general audiences think than engineer-to-engineer comparison, Yupp has the edge.
More voices mean more data. More data leads to better models. The simple act of choosing your favorite answer could have knock-on effects across model development roadmaps worldwide. That’s power most people don’t know they have—until they start earning from it.
The Real Question: What Happens When Millions Join?
If enough people contribute to Yupp, the platform becomes a very accurate barometer of AI quality. So here’s the question nobody’s asking: what happens when feedback itself becomes one of the most valuable commodities in tech? Will AI labs keep up? Will new models stop guessing what people want and start knowing?
Yupp won’t pay your rent or buy you a vacation. But it might help steer the direction of global technology—one click at a time. And you’ll get paid for being part of it. Not just in money. In influence.
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Featured Image courtesy of Unsplash and ThisisEngineering (4dR9LmMzhT0)
