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I recently discovered an interesting AI infrastructure project—DeepNode. Its core concept is to aggregate idle GPU resources worldwide and build a decentralized on-demand computing layer. In simple terms, it allows ordinary people to contribute computing power or AI models and earn rewards with $DEEP tokens.
The project's main features include: first, breaking the black box nature of AI. Traditional AI model valuation is vague, but DeepNode uses a PoWR mechanism to let models compete and earn rewards based on actual usage, which means creators can truly retain ownership of their model's IP. Second, it has a wide range of applications, including medical diagnosis, financial risk control, and trading strategy prediction, not limited to a single field.
Privacy protection is also well-handled, with built-in ZK proofs and fully homomorphic encryption technology, supporting private domain collaboration, making it friendly for scenarios with high data privacy requirements like finance and healthcare.
In terms of funding progress, they achieved a $5 million raise in 2025 (seed round + strategic round), with a valuation of $75 million. The mainnet is planned to launch in 2026 on the Base chain. Their DIVE platform has already attracted over 100,000 users, with community participation through badges and task systems to earn points, indicating a community-driven growth approach.
If you're interested, you can try their early activities by completing tasks like linking wallets, binding social accounts, and unlocking badges to accumulate points.
Combining ZK with fully homomorphic encryption, this set of privacy techniques indeed has potential in financial and medical scenarios. It’s much more reliable than those projects that only talk about privacy.
A $5 million funding round with a valuation of 7.5E. The numbers don’t seem unreasonable. It’s just another project on the Base chain waiting for mainnet launch. Whether it can go live on time in 2026 is really uncertain.
Having 100,000 users on DIVE is already quite a lot. The badge task approach and internet growth strategies are still effective in Web3. Once the community base grows, good things will follow.
Another computational layer on the Base chain? It seems like there are already quite a few projects in this space. Why would DeepNode stand out?
The ZK encryption approach sounds quite hardcore, but balancing privacy and performance—is that even possible? That's the question.
The DIVE platform with 100,000 users—is everyone just here to get some free rewards? Who knows how genuine the active user base really is.
Ownership of IP is still relatively new; finally, model creators can have control over their own assets.
The funding figures look good, but with a $75 million valuation and the mainnet not yet launched, this fundraising pace seems a bit aggressive.
The badge task system—typical airdrop economy tactics. How many will still be around by the time the mainnet launches?
Wait, can the PoWR mechanism truly enable models to discover value, or is it just another gambling scheme?
On the Base chain? Okay, at least it's not another garbage L2 chain.
With 100,000 users on the DIVE platform, I just want to know how many are genuinely participating and how many are just farming for rewards.
Privacy is indeed a selling point, but has ZK fully homomorphic encryption been implemented or is it just a PPT proposal?
Forget it, I'll connect my wallet and test the waters. Anyway, early tasks are just free points.
Damn, a valuation of 75 million so quickly, who are the investors?
The $DEEP symbol looks a bit familiar; was there a project token with the same name before?
The description of model IP ownership sounds good, but I'm worried the platform will ultimately call the shots.
Anyway, the mainnet won't launch until 2026. For now, it's just community operation tactics—earning badges and so on.
10,000 users sound like a lot, but whether the points on the DIVE platform are valuable is the key. It's not the first project to do badge tasks.
Another computing power project on the Base chain. We've been talking about GPU resource integration for years, but few have actually been usable.
ZK proof combined with fully homomorphic encryption sounds luxurious, but can the cost and performance trade-offs really be acceptable? Can it be used in medical finance?
Is a valuation of 7.5 billion really not excessive? Multiple funding rounds but only five million raised. I think this funding progress might not be that smooth.
Ownership of IP is indeed interesting, but can creators really make money with $DEEP? It still depends on token liquidity.
Regarding idle GPU integration, I just want to know how network latency and computational reliability are guaranteed. Isn't that a fatal flaw?
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I've seen too many tricks of resource integration with GPUs; the key still depends on who actually uses it...
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ZK proof combined with fully homomorphic encryption sounds pretty fancy, but I wonder how efficient it will actually run.
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100,000 users sounds like a lot, but early tasks on platforms like DIVE are quite active, whether they stick around to use it remains to be seen.
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Speaking of, there's another new project on the Base chain. Could the valuation be a bit inflated?
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The selling point of model IP ownership is okay, but does the market really need so much decentralized computing, or does it need it at all?
The PoWR mechanism sounds good. Finally, someone wants to give model creators a proper name, much more transparent than those big companies' black-box operations.
Base chain is launching? Okay, I'll wait and see if the mainnet can really come up with some tricks. Right now, it's all promises.
ZK proofs combined with fully homomorphic encryption, privacy is indeed a highlight, but how the token economics are designed feels like the real key.
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Mainnet launching in 2026. I understand the idea of accumulating points before then, but early-stage projects like this do carry significant risks.
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Zero-Knowledge proofs combined with fully homomorphic encryption sound quite fancy. I just want to ask if this has really been implemented yet.
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10,000 users sounds like a lot, but these days, do community numbers also need to be taken with a grain of salt?
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GPU resource aggregation is definitely a bottleneck. If they can truly solve the cost issue, it’s worth paying attention to.
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The Base chain has launched quite a few projects. Will it just become a chaotic mix?
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What I really want to know is the distribution mechanism of the $DEEP token. Will it just be dumped right after launch?
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I have real doubts about using it for medical diagnosis scenarios. Is data privacy just a paper promise?
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Raising 75 million with a valuation, but only getting the funds in 2025. The timeline looks pretty tight.
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The badge task gameplay feels quite familiar—like the airdrop hunting routine, right?
It's the same old trick: crazy point distribution early on to attract users, and after the mainnet launches, the real focus is on how tokens circulate and how to do market support.
There's another one on the Base chain. It seems like these infrastructure projects are all piling up.