SN3 Token Price Comparison Tool
Current SN3 Price Comparison
Prices vary significantly between exchanges. Understand why prices differ and make informed decisions.
Holder.io
Circulating supply: 3M+
CoinMarketCap
Circulating supply: 3M+
CoinStats
Circulating supply: 3M+
Phemex
Circulating supply: 3M+
Trading Volume
Extreme liquidity variance
Market Cap
200% difference
What does this mean?
Price discrepancies show inconsistent liquidity and data aggregation across platforms.
τemplar (SN3) isn’t another meme coin or copycat blockchain project. It’s a niche cryptocurrency built for one very specific job: paying people to train AI models using their spare computer power. If you’ve ever heard of Bittensor or SingularityNET, τemplar is trying to do something similar-but with a tighter focus on distributed machine learning and a unique reward system that’s still being tested in the wild.
How τemplar (SN3) actually works
At its core, τemplar (SN3) is the fuel for a decentralized AI training network. Think of it like a crowdsourced supercomputer for AI. Instead of Google or OpenAI running massive data centers, τemplar lets anyone with a decent GPU join a network and help train models. You don’t need to own the data or the AI model-you just need to do the heavy lifting of processing it.
The system has two main roles: Miners and Validators. Miners are the ones doing the actual training. They take small chunks of data, run neural network calculations on their hardware (usually an NVIDIA GPU), and send back the results-called gradients. These aren’t finished models, just pieces of learning that help improve the overall AI.
Then come the Validators. These are like quality control inspectors. They check if the gradients sent by Miners are useful, accurate, and honestly generated. If a Miner tries to cheat-say, by sending fake data or copying results-the Validator flags it. Only honest, high-quality contributions get rewarded with τemplar tokens (SN3).
This isn’t just proof-of-work like Bitcoin. It’s proof-of-useful-work. Your mining power isn’t burning electricity for nothing; it’s directly helping build better AI. That’s the big idea behind τemplar.
Technical details you need to know
τemplar runs on Python, making it accessible to developers but not exactly beginner-friendly. The entire codebase is 96.7% Python, with the rest made up of Dockerfiles, shell scripts, and a bit of JavaScript. If you want to run a Miner node, you need:
- A computer with an NVIDIA GPU (CUDA-compatible)
- At least 4GB of RAM
- Python 3.8 or higher
- Stable internet connection
There’s no simple app or wallet to download. You have to clone the GitHub repository, set up the environment manually, and run commands in the terminal. It’s not for casual investors. This is a tool for developers, researchers, and tech-savvy users who want to contribute to AI infrastructure.
The token itself, SN3, is used to pay for participation. Miners earn SN3 for their work. Validators earn SN3 for checking that work. And the whole system is designed so that the more useful your contribution, the more tokens you get. It’s an incentive system built to reward quality, not just quantity.
Market data is all over the place
Here’s the messy part: nobody agrees on what τemplar is worth.
On October 26, 2023, Holder.io listed SN3 at $10.73 with a circulating supply of over 3 million tokens. CoinMarketCap showed $9.91. CoinStats said $20.55. Phemex had it at $17.85. And none of these numbers match up with each other.
The same confusion exists for trading volume. One site says $45K traded in 24 hours. Another says $306K. One platform claims SN3 isn’t traded anywhere at all-yet still shows a price. That’s a red flag. It suggests either:
- Low liquidity on major exchanges
- Delisting from key platforms
- Or data aggregation errors
Market cap figures range from $12.5 million to $42 million. That’s a 200% difference. That kind of inconsistency makes it nearly impossible to assess real value. Most of the trading appears to happen on smaller, less-regulated exchanges. You won’t find SN3 on Binance, Coinbase, or Kraken.
Its all-time high was $34.42 in July 2025 (though some sites list future dates like June 2025, which is clearly a data glitch). Today’s price is hovering around $10-$18, depending on which site you check. The token’s maximum supply is 21 million SN3, but only about 1.2-3 million are in circulation. That means there’s a lot of room for future supply to enter the market.
Who’s competing with τemplar?
τemplar isn’t alone in the AI crypto space. It’s competing with bigger, better-known projects:
- Bittensor (TAO): Already a top-50 crypto with a $2 billion market cap. It’s more mature, has more miners, and is listed on major exchanges.
- SingularityNET (AGIX): Focuses on marketplace-style AI services, not just training.
- Fetch.ai (FET): Targets autonomous AI agents for logistics and automation.
τemplar’s edge? It’s laser-focused on the training phase. While others offer AI marketplaces or agent networks, τemplar is trying to solve the problem of how to train large models without centralized servers. That’s a real need. But being focused doesn’t mean it’s winning. Bittensor has thousands of active nodes. τemplar’s GitHub shows only 14 contributors, with 2-3 active developers. That’s not a thriving ecosystem-it’s a prototype.
Is τemplar safe? Is it legit?
There’s no public security audit of τemplar’s smart contracts. No firm like CertiK or SlowMist has reviewed the code. That’s a major risk. If there’s a flaw in the reward mechanism, someone could exploit it and drain the system.
Community support is nearly non-existent. There’s no official Discord. No Reddit community with more than a dozen posts. Twitter has about 87 mentions in a month-mostly from bot accounts. The official Twitter account has 278 followers and hasn’t posted anything meaningful since August 2023.
The website (tplr.ai) is basic. The GitHub repo is active, but that’s about it. No whitepaper. No roadmap beyond vague mentions of “scalable architecture.” No press coverage from major outlets like CoinDesk or The Block.
So is it legit? Technically, yes-the code is open, the project is active, and the idea is sound. But is it trustworthy? Not yet. There’s zero transparency around token distribution, team identity, or future funding. You’re investing in a concept, not a company.
Should you buy τemplar (SN3)?
If you’re looking to make money from a quick flip-skip it. The price swings wildly between platforms. Liquidity is thin. You could buy it on a small exchange, but selling it later might be impossible.
If you’re a developer or researcher and you want to contribute to decentralized AI-then maybe. Run a Miner node. See how the system works. Earn SN3 as a reward for your time and hardware. It’s a way to get involved in the next wave of AI infrastructure without working for Big Tech.
But treat it like a research experiment, not an investment. There’s no guarantee this project will grow. It could fade into obscurity. Or it could become the backbone of open-source AI training. Right now, it’s in the middle.
One thing’s clear: if you’re not comfortable with command lines, GPUs, and GitHub issues, you shouldn’t touch τemplar. This isn’t a crypto you buy because a TikTok influencer said so. It’s a tool for builders.
What’s next for τemplar?
The project is still under active development. GitHub commits continue through late 2023, with recent updates focused on stopping gaming of the reward system. That’s good. It means the team is trying to fix flaws.
But without marketing, without exchange listings, without a clear roadmap, it’s hard to see how τemplar scales. It needs more miners. More validators. More developers. More trust.
Its biggest hurdle isn’t technology-it’s adoption. Can it convince enough people to run nodes? Can it get listed on major exchanges? Can it prove that decentralized AI training is viable at scale?
Right now, τemplar is a quiet experiment. It’s not a coin you buy for profit. It’s a bet on whether the future of AI can be built by ordinary people with GPUs, not just Silicon Valley giants.
Is τemplar (SN3) a scam?
No, τemplar isn’t a scam-it’s open-source code on GitHub with active commits. But it’s also unregulated, un-audited, and lacks transparency. The project is real, but its long-term viability is uncertain. Treat it as experimental tech, not a guaranteed investment.
Can I mine τemplar (SN3) with my regular PC?
No. You need an NVIDIA GPU with CUDA support. Regular CPUs or integrated graphics won’t work. The system is designed for high-performance computing. Even then, you need technical skills to set up the environment. It’s not plug-and-play.
Where can I buy τemplar (SN3)?
τemplar is not listed on major exchanges like Binance or Coinbase. It may be available on smaller platforms like Phemex or decentralized exchanges, but liquidity is extremely low. Always verify the trading pair and check multiple sources before buying.
What’s the difference between τemplar and Bittensor?
Bittensor is a larger, more established network that lets users buy and sell AI model access. τemplar focuses only on training models by rewarding participants for submitting useful gradients. Bittensor has broader utility; τemplar is more specialized and still in early development.
Is τemplar worth investing in?
Only if you understand the risks and don’t expect quick returns. The token’s price is inconsistent across platforms, liquidity is poor, and adoption is minimal. If you’re a developer interested in decentralized AI, participating as a Miner might be worth your time. As an investor? Proceed with extreme caution.
Eric Redman
October 31, 2025 AT 21:03This is the dumbest thing I've seen all week. You're telling me I should run a GPU 24/7 for some obscure token that isn't even on Binance? I'd rather mine Dogecoin with my toaster.
Jason Coe
November 2, 2025 AT 19:12Look, I get the idea-it’s cool, really. Decentralized AI training is the future. But the execution? Messy. The docs are half-baked, the website looks like it was built in 2018, and the market data is a dumpster fire. I ran a node for two weeks. Got 0.3 SN3. Paid for my electricity three times over. It’s a lab experiment, not an investment. But if you’re a dev and you wanna tinker? Go for it. Just don’t expect to retire on it.
Brett Benton
November 2, 2025 AT 22:20Y’all are missing the point. This isn’t about money-it’s about ownership. Big Tech hoards AI like it’s a religious relic. τemplar lets regular people contribute to the brain of the future. I’ve got a 3060 sitting idle. Now it’s doing something meaningful. I don’t care if the price is $10 or $20. I care that I’m part of something bigger. This is the real crypto: not speculation, but contribution.
David Roberts
November 4, 2025 AT 09:20Let’s be honest-the entire model is a Ponzi scheme wrapped in Python. Validators are incentivized to flag miners who are too efficient, because otherwise the token supply balloons. The fact that no one’s audited the reward function? Classic. And don’t get me started on the future-dated ATH. That’s not a glitch, that’s a warning label.
Beth Devine
November 5, 2025 AT 14:32I ran the node setup on my Linux box. Took me 4 hours, but I got it working. The logs are clean, the gradients are being accepted, and I’ve earned 0.8 SN3 so far. It’s slow, but it’s real. If you’re technical and patient, this is a quiet win. Not a get-rich-quick, but a get-something-real kind of win.
Hanna Kruizinga
November 6, 2025 AT 16:16Of course it’s a scam. Why else would they hide the team? No whitepaper, no roadmap, no Discord. Just a GitHub repo and a website that looks like it was coded by a grad student who just learned HTML. Someone’s dumping SN3 on the small exchanges. Don’t be the last one holding the bag.
Jessica Hulst
November 7, 2025 AT 23:49It’s funny how we romanticize ‘decentralized’ anything until we realize it means ‘no one’s responsible.’ τemplar is the digital equivalent of a garage band that thinks they’re the next Radiohead. The music’s interesting, the gear’s DIY, and half the members don’t know how to tune their bass. But hey-at least they’re not signed to a label. That’s something, right?
Kaela Coren
November 8, 2025 AT 01:45As someone who works in ML research, I’ve reviewed dozens of these projects. The architecture here is actually sound-minimalist, elegant, and focused. The issue isn’t the tech. It’s the complete absence of governance. Who controls the validator weightings? How are disputes resolved? No answers. Without that, this is just a beautifully written script with no director.
alvin Bachtiar
November 8, 2025 AT 01:57Let’s cut the crap. This isn’t a project. It’s a honeypot. The devs are sitting on 80% of the supply. The ‘miners’ are probably their sock puppets. The price discrepancies? Manipulated by bots on 3 sketchy DEXes. The GitHub commits? Automated. The ‘active developers’? One guy with a GitHub bot. This isn’t crypto. It’s a psychological experiment in gullibility.
Phyllis Nordquist
November 9, 2025 AT 21:01While I appreciate the ambition behind τemplar, I must emphasize that the lack of regulatory clarity and formal governance structures presents significant operational and ethical risks. The incentive mechanism, though theoretically elegant, remains untested at scale. I would strongly recommend any potential participants to conduct independent due diligence and consider the long-term sustainability of the network before allocating computational resources.
Josh Serum
November 10, 2025 AT 03:32You guys are overcomplicating this. If you’ve got a GPU and you’re not using it to train AI, you’re wasting electricity. This isn’t investing-it’s volunteering for the future. Stop worrying about the price. Start worrying about whether you’re helping build something better than what Big Tech is doing. That’s the real win.
David James
November 11, 2025 AT 14:09I tried to set up the miner but kept getting CUDA errors. Took me three days to fix it. I finally got it running and earned 0.2 SN3. Not worth it for me. I’m going back to staking ETH. At least I know where my money is.
Nabil ben Salah Nasri
November 13, 2025 AT 06:27Bro this is 🔥🔥🔥 I just ran my first 12 hours and got 0.6 SN3. My GPU temps are up but my soul is happy. We’re building the future one gradient at a time 🚀🧠. If you’re reading this and you’ve got a 3080 sitting in your closet-stop scrolling. Go clone the repo. You won’t regret it. This is what crypto was supposed to be.
Monty Tran
November 13, 2025 AT 10:35Proof of useful work? More like proof of delusion. If this was real, it’d be on Coinbase. If this was real, someone would’ve audited it. If this was real, the devs wouldn’t be hiding behind a .ai domain and a GitHub repo. It’s not a project. It’s a graveyard for gullible tech bros.
Shaunn Graves
November 14, 2025 AT 02:06So you’re telling me a bunch of strangers on the internet are paying me to train AI with my GPU… and you think that’s not a surveillance play? Who owns the gradients? Who owns the resulting models? Who’s to say this isn’t just a front for training military AI? You’re not contributing-you’re being exploited. Wake up.
Brian McElfresh
November 15, 2025 AT 11:17They’re not even hiding it. The GitHub repo has a file called ‘backdoor_test.py’ that sends anonymized GPU usage data to a server in Luxembourg. I decompiled it. They’re harvesting hardware fingerprints. This isn’t AI training-it’s a botnet for corporate surveillance. And you’re all just happy to plug in.