LearnPool ISO

LearnPool ISO

A Platform where users earn from sharing verifiable facts.

233 followers

LearnPool is a gamified Web3 platform where users submit short, verified facts (Public Knowledge) to earn PK Stars, mint LearnNFTs, access gated features with $LEARN tokens, and get rewarded when their entry becomes the Highlight of the Day (HotD).
LearnPool ISO gallery image
LearnPool ISO gallery image
LearnPool ISO gallery image
LearnPool ISO gallery image
LearnPool ISO gallery image
LearnPool ISO gallery image
LearnPool ISO gallery image
Free
Launch tags:EducationWeb3NFT
Launch Team
AppSignal
AppSignal
Built for dev teams, not Fortune 500s.
Promoted

What do you think? …

Tuki Joshua

LearnPool is a gamified knowledge economy where everyday people earn rewards by submitting short, verifiable facts called Public Knowledge (PK). It’s built for the curious students, crypto natives, trivia lovers, and lifelong learners who want to turn what they know into something that grows.


Each time you submit a valid PK, you earn PK Stars a kind of experience point in the ecosystem. These stars unlock access to new features, community games, and LearnNFTs, digital collectibles that prove you shared something valuable. Some PKs even become permanent entries on-chain.


And if your fact is picked as the Highlight of the Day (HotD), you earn even more, including $LEARN tokens, the native currency powering the platform.


Holding $LEARN unlocks additional benefits:


  • Exclusive access to premium knowledge hubs

  • Enhanced rewards and multiplier effects

  • Governance rights

  • Utility across future LearnPool applications



It’s part game, part public library, and part Web3 experiment.


With daily streaks, leaderboards, topic hubs, and a growing community of fact sharers, LearnPool makes learning feel like a habit worth building and rewards consistency with real value.


Whether you’re dropping weird facts, historical trivia, or science-backed insights, this is a space where your knowledge gets minted, remembered, and rewarded.


We’d love to hear your thoughts, feedback, or any questions! What feature are you most curious about?

Ryden Sun

This is such a refreshing take on learning in the Web3 space! 🔥


I love how LearnPool blends curiosity, gamification, and verifiable knowledge into a system that actually rewards people for being intellectually engaged. The idea of turning bite-sized facts into on-chain entries with collectible LearnNFTs is so creative — it really feels like building a global, decentralized encyclopedia, but fun.


The Highlight of the Day and $LEARN utility layers make it even more interesting — there’s real incentive to contribute thoughtfully and consistently. Definitely curious to see how moderation and fact verification scale as the community grows — but this has massive potential for educators, trivia geeks, and info-nerds alike.


Following along to see how this evolves. 📚💡💎

El Prof 2

Absolutely! The NFTs part could really be interesting.


Especially since it requires pk stars to claim them, and submitting messages there actually yield the said stars.


It's an interesting cycle

Suraj Maurya
how did you determine the submitted fact is correct ?
Tuki Joshua
@suraj_maurya12 We’re upgrading our resident AI agent ADA Intelligence. Right now, ADAi helps users generate Public Knowledge (PK) based on selected tags. Anyone holding just 1 $LEARN token can access this feature today. But here’s what’s coming: Soon, you’ll be able to instantly fact-check PK submissions with a single click, powered by ADAi. In the meantime, we’re running a manual validation system: • The Whiteflag–Blackflag mechanism lets users vote on each PK’s appropriateness. • It’s lightweight, but now incentivized every reaction = 1 PK Star. We’re actively building toward faster, smarter validation with AI + community governance.
Nika

I think this solution would totally flop if it were used on Facebook (which is currently such a conspiracy-filled place) :D


But the idea itself seems good. Yesterday I saw a product focused on critical thinking and leading debates. I think some kind of collaboration could come out of it. Or at least a complementary tool. Good luck!

Tuki Joshua

product focused on critical thinking  @busmark_w_nika 

Thanks for the thoughtful comment! Totally hear you on the Facebook angle. Our goal is to create a calmer, gamified space where verified, knowledge is actually celebrated (and rewarded).


Appreciate the support!

Manos
🧐 Good find

Cool idea and design but the website has some bugs. For example, when I click on tools or profile I get a session expired popup message. I should just get redirected to the login/signup page instead

Tuki Joshua

@judge_manos Thanks for the feedback really appreciate you checking it out!


Yes, you’re right… the “session expired” popup is part of the current flow and it will redirect you to the sign-in/sign-up page right after. We included the popup to inform users why they’re being redirected, especially when their session times out.


That said, we hear you and we’re working on streamlining the experience so it feels smoother and less disruptive.


LearnPool is still in its early stage, and we’re shipping fast. Bugs like these help us grow sharper.

Cole

About to learn a bunch of stuff today. congrats on the launch Tuki. Looks like we are launch day twins or something anyway, wishing you all the best.

Ema Elisi

@jariusos Really interesting product! How does the platform verify the accuracy of a fact before it’s accepted? Is there a community-driven moderation layer, automated checks, or expert validation? And if a PK is later challenged or proven wrong, how does LearnPool handle updates or corrections?

JariusOS

 Absolutely @ema_elisi 

We are enhancing the capabilities of our resident AI agent - ADA Intelligence. For now, it is just an integrated public knowledge generator (based on tags selected). Users who own jus 1 Learn token can access this feature currently. However, soon users will be able to instantly factcheck submissions at the click of a button.


In the meantime, we have a manual user feedback mechanism. The whiteflag-blackflag system allows users to 'react' to each submission for 'appropriateness'. This is a very lose system, but we have just incentivized the flagging system. Each reaction= 1 pk star (ps; you can't change your vote).


See ADAi and join us on Telegram to learn more.

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