🚨 Trackius x NVIDIA 🚨
We’re excited to announce that Trackius has officially joined the NVIDIA Developer Program! 🟩⚡
This opens up powerful opportunities for us to:
✅ Optimize our media processing pipelines with cutting-edge GPU acceleration
✅ Gain early access to NVIDIA tools and SDKs for AI, computer vision, and real-time inference
✅ Collaborate with the broader NVIDIA AI ecosystem to push the boundaries of what our trackers can do
This is a step forward for Trackius as we continue to scale our infrastructure and aim to deliver lightning-fast results to our users — across image, video, audio, and text.
We’re building with the best tools available.
More updates soon.
ETHCC RECAP: What This Week Means for Suby
Our goals at ETHCC were clear:
- Spread the word about Suby
- Meet our future partners
- Absorb insights from talks on payments, stablecoins, fintech, and DeFi-for-fintech.
This week was a turning point for Suby.
Mission 1: Get Suby Out There
✅ We met and closed several private crypto communities
✅ Had tons of convos about Suby and its potential use cases
✅ Collected valuable contacts on everything from product to distribution
We’re no longer flying under the radar. Suby is on people’s minds now.
Mission 2: Meet Future Partners
Calls are fine. But IRL meetings build real trust.
The connections we made this week will help us unlock the next phase of Suby.
Payments, Fintech & DeFi = Full Convergence
This was the hot topic of the week. Here’s what we learned:
The payment + DeFi + fintech space is on fire
Stripe’s acquisition of Bridge triggered a huge FOMO wave in crypto. The tech is ready, complexity can now be fully abstracted
But now it’s all about distribution:
➡️ Traditional fintechs are targeting non-crypto retail
→ Just look at Robinhood this week: SOL staking, tokenized stocks, their own chain, they’re building crypto infra for normies with exceptional UX
➡️ Crypto-native companies have leveled up their UX
→ Wallets infrastructure like Privy are crushing it for degens, clean UX, fast flows
Suby’s Vision Is Clear
We’re building for crypto-native users.
Yes, it’s still a niche use case for two very good reasons:
- We need to build trust
- We need to let new use cases emerge
ETHCC helped us refine the exact use case that can push Suby to the next level.
But we’re not skipping steps. We're back to execution.
We’re going all-in on dominating the private group subscription market.
Suby is just getting started.
Remember the players who had hundreds of teenagers playing Axie Infinity for them to earn Magic Love Potions?
Yeah, that was 4 years ago.
Now you could just train and spin up 100 Autonomous Codec Operators to play for you instead
...and monetize it and sell it to others
✅ AI x Robotics
The AI x Robotics narrative is heating up for real with VLA models
At this stage in the AI ecosystem the majority of protocols and agents are using text based LLM engines or static screenshots to interpret data
But just remember that most of the real world doesn't have API access, you need vision, decisions and actions. The real world must be seen in pixels and this is where VLA models come in
@Codecopenflow allows for automation of software and robotics through vision using a tech stack built from scratch
✅ CODEC Operators
Operators are autonomous software agents that can perform tasks through a perceive-reason-act cycle. The ability to see the screen (or camera feeds or sensor data) allows them to make decisions LLMs would not be able to do
• Perception: Captures screenshots, camera feeds, or sensor data
• Reasoning: Processes observations and instructions using vision-language models
• Action: Executes decisions through UI interactions or hardware control
In a continuous loop
The Operators can run on bare-metal servers, Virtual Machines (on any operating system), or even on robots.
Each operator automatically gets a dedicated compute machine (isolated VM or container instance), and can be secured by TEEs (hardware-level isolation) for sensitive code and data.
✅ AI Intelligence Layer
The Operators can be configured to use one or more models (LLM or VLA) combined as their "brain"
For instance, pairing the low-cost Mixtral-8×7B language model with the open-source CogVLM vision model lets Operators read on-screen text and interpret live screen or camera feeds - all at a fraction of GPT-4’s cost.
A VLA model (Vision-Language-Action) lets the agent interpret visual input, and then decide on an action based on what it sees
✅ Use Cases
🔹 Desktop Automation
Can automate repetitive office tasks by controlling GUIs. Like filling in spreadsheets, update calendars or other tasks that requires GUI interaction
Can handle UI updates as it can actually see what it's doing
🔹 Gaming Agents
Operators can control players or test video games. The agents are streaming the screen and can make actions based on what they see by sending keyboard or mouse commands to the game.
Can be used for QA testing, or even advanced NPC opponents or automation of web3 games
🔹 Robotics
Operators can control physical robots. The machine layer will connect to a robots hardware with sensors and actuators, and the agent can send commands to move an arm or navigate.
E.g it could capture a camera feed of objects moving on a conveyor belt and make actions based on the movement. If there is an obstacle in the way the Operator can see it and control the robot to avoid it
✅ Data Collection and Onchain safety rails
By bringing the information of the Operators onchain to Solana they can offer immutable action logs from all actions performed
In the future we can see a point where Robotics companies would be required to stake a token to guarantee that their Operators would not make a robot make physical contact with a human over a certain force. If they breach it they would be slashed for a part of the staked token (like EigenLayer / Symbiotic restaking)
✅ Training environment for Robotics
With Codec, untrained virtual models can be deployed into a dynamic, high-fidelity training ground, no physical robot required.
Simulate, train, and refine complex behaviors at cloud-scale, then transfer those policies to real hardware with confidence.
Training environments can be quickly spun up for all type of Operators (Software, Gaming or Robotics)
✅ Codec SDK
A full SDK and API has been developed so devs can deploy their Operators easily
✅ Operator Marketplace
Operators can (in the future) be sold on a custom marketplace.
There will be a revenue split so that you can ship and monetize your VLA operator, meaning if you train effective Operators you could have additional revenue streams
✅ Concluding thoughts
I think we will see massive developments in the VLA field in the next year. We have seen how fast LLMs are developed, it was only a few years ago since GPT-1 was launched. Robotics and Vision Models will very likely become a hot narrative at one point in this cycle, and i like to be positioned early
Oh and did i mention that the co-founders is from Hugging Face and Elixir games 👀
Note: Slappjakke has large $CODEC bags, and this is one of those times i got even more bullish while writing this thread and added even more
This is as always not financial advice and a high risk investment, so do your own research.
🚨Socialcrab x NVIDIA Inception Program🚨
Yes, it happened—Socialcrab is proud to be part of the NVIDIA Inception Program, a global network of 15,000+ startups working on AI innovation.
We’re not just building social media analytics—we’re building it smarter, with support from the best.
This milestone gave us access to:
✅ Cloud credits
✅ AI tools & early tech
✅ Exposure to NVIDIA’s VC ecosystem
NVIDIA powers 97% of AI learning systems and owns 80% of the GPU market. With them backing startups like us, we’re pushing Socialcrab closer to the future we believe in.
Still a big deal. Still proud.
@SuperteamINDO@LugasAnegah@solana@nvidia@superteam@believeapp@pasternak
People keep congratulating me on $CODEC, what for?
So far, we haven’t even seen:
- Token utility
- Incentives
- Roadmap
- Demos
- New website
- Marketplace
- Future Partnerships
- Use cases
+ more
All we’ve seen is a few partnerships and the release of their resource aggregator (Fabric).
I didn’t write multiple threads, multiple telegram posts, speak with the team on a near daily basis, advise on the marketing, branding, positioning to celebrate a 6 mil mcap.
A chatgpt wrapper of a anime girl with pink hair was enough for a 6 mil mcap back in AI szn.
Projects were sending to 9 figures overnight for winning a hackathon or getting spotlighted from large KOLs/researchers.
Everyone’s forgot what happens when the lights switch on and people believe once again.
The reason I’ve switched so bullish this past week for onchain is belief is at all time lows. The past month has been some of the largest progressions we’ve made in this industry along with positive macro backdrop.
Remember that feeling of money falling from the sky? Might not be too long until we get to experience it again.
Most AI tokens are just hype.
Ratio1 ($R1) runs AI.
No staking. No fluff. No insiders.
It’s an actual decentralized AI engine — live, earning, and still under the radar.
Here’s why Ratio1 ($R1) might be the most overlooked system in crypto 🧵
#R1#CryptoAI#BaseChain#DePIN #Web3Infra #AIonChain
We’re officially listed in the @BelieveApp — now visible under the “Projects” tab.
Search isn’t live yet, but we hope that’s fixed soon.
Big thanks to the Believe team for making it happen.
Added #R1@ratio1ai to my portfolio here 🤖
I think its criminally undervalued at $2.5M mc & the chart looks amazing.
What is it and why is it undervalued?
🔹ultimate operating system for AI and blockchain systems
🔹received $250k USD @Cloudflare credit grant
🔹reserved for "high growth AI startups that belong to a tier 1 VC or Accelerator"
🔹fully doxxed team of 8 highly (10+ years in AI & tech) experienced members
🔹lower quality competitors trade much higher
Chart:
🔹retraced to 0.786 fib after initial pump
🔹perfect reaction there > likely bottomed
🔹broke downside trendline
🔹RSI broke and retested trendline
A perfect setup if you ask me.
Targets at which I would TP if reached are on the chart btu ideally I would leave a decent portion as a moobag because I think this has potential to pull a $KTA type run if the stars align.
Shoutout to @SharkSociety_ for putting it on my radar!
NFA & DYOR as always.
Now send it back to ATH and beyond pls 🚀
The Ratio1 Roadmap is live and evolving!
✅ See what’s in progress
🛠️ Discover what’s coming soon
🌟 Track our vision as it unfolds
We believe in transparency and community-driven growth. The roadmap isn't just a plan - it's a window into how Ratio1 is shaping the future.
💡 Features, upgrades, partnerships, and more - all laid out for you.
Check the roadmap, stay informed, and grow with us👇