撸毛水手

To be honest, watching the market until the end, the most expensive thing is not how much you earn, but your cervical spine and attention.

So when I saw $SENTIS at the top of the Binance Alpha leaderboard for a long time, my first reaction was not FOMO, but:
This project is probably not just relying on luck.

After seriously completing the information, I found that SENTIS really has something.
After going live on Alpha, the trend was very decisive, rising from the bottom to nearly 15 times now. It wasn't just one spike; it was Alpha + Boost continuously increasing in volume, and the popularity has continuity.

Moreover, it is not just talking about concepts.
In April this year, SENTIS won the first quarterly award at the BNB AI Hackathon, focusing on the DeFAI automation layer, with a clear direction:

AI Agents are responsible for strategy, execution, and risk control, transforming DeFi from "manual operation" to "automated products"

Ordinary users can also create and customize Agents, with strategies naturally evolving in the ecosystem.

The market has already given feedback, and the price trend itself is the most direct validation.

The reason I continue to watch $SENTIS is also very simple:

The direction is right: automation is the necessary path for DeFi to reach the masses.

The rhythm is stable: continuous exposure on both Alpha + Boost platforms, not just a passing trend.

They are really doing work: after TGE, there are still community tasks and benefit releases, gradually being listed.

My only regret now is——
When you are bottom-fishing such projects, can you give me a shout in advance 😭#SENTIS #Alpha $SENTIS

SENTISUP

First, clarify who is verifying, what is being verified, then look at the actual calculations delivered, and finally confirm whether the system is stable and reliable through the SLA and event logs.
Trusted sources + real output + traceable operation are the three fundamental aspects of computational proof.

“I am listening to the voice live broadcast of 'btc market chat' at Binance Square, join me here to listen: ”
https://app.binance.com/uni-qr/cspa/33790473821818?r=VDE7LOGS&l=zh-CN&uc=app_square_share_link&us=copylink

Speed Read OpenLedger (OPEN) — Three Major Positive Signals and Three Immediate Actions
Want to quickly assess and participate in OpenLedger? Below are the three most powerful positive signals and three actions you can take right now compressed into a quick-read list, making it easier to post on Binance Square to gather authors or directly try out the pilot.
Three Major Signals
Coin Amplifier in Place — Binance's HODLer airdrop and multiple pairs listed bring user and traffic dividends to the project, helping the ecosystem quickly obtain real usage samples.
Contributions Can Be Quantified and Compensated (PoA) — Proof of Attribution can chain the impact of data/adapters and trigger rewards during model calls, making 'data as an asset' an executable mechanism.
Computing Power Collaboration Brings Cost Reduction and Scalability — The integration of OpenLoRA with Aethir / distributed GPUs demonstrates extremely high resource utilization and significant cost advantages, beneficial for rapid pilot testing in vertical scenarios.
Three Actions You Can Take Right Now (Act Immediately)
Upload/Contribute Data to Datanets — Organize industry corpora or annotation sets and upload them, PoA will chain record contributions and trigger attribution rewards during model usage.
Create a 1-week Fine-tuning Demo (ModelFactory + OpenLoRA) — Select a vertical scenario (customer service, legal summaries, educational Q&A, etc.), fine-tune using an adapter-first approach and publish it as a callable model, testing inference payment and calling experience.
Participate in Ecosystem Tasks / Hold Coins and Pay Attention to Governance — Engage in holding through Binance's Earn / Convert / trading entry points, keep an eye on official SeedLab / tasks and governance announcements, early participants often receive incentives and influence the ecosystem's direction.
Conclusion
#OpenLedger turns the 'contribution-attribution-reward' closed loop into an engineering process and enters the demonstration phase. In which industry do you want to first do the OpenLedger demo (medical / legal / gaming / education / customer service)? Write your choice in the comments section and @OpenLedger dger— I will organize everyone's thoughts into the first batch of demo proposals to promote community collaboration.
$OPEN

Boundless (ZKC): Transforming zero-knowledge proofs into the infrastructure for market-oriented computing services
Computing power can also be measured and traded: Boundless builds a decentralized verifiable computing power market using PoVW, and ZKC is the fuel and governance token of this new ecosystem.
Key Points
1. Project Positioning and Vision
The vision of Boundless is to become a 'universal ZK proving layer', allowing blockchain/Rollup/dApp to call upon its proving capabilities without having to build proof systems from scratch. This can scale and standardize ZK capabilities.
2. Technical Mechanism Highlights
RISC-V zkVM: Encapsulates any program into a provable computing unit, facilitating cross-chain/multi-scenario deployment.
Proof-of-Verifiable-Work (PoVW): The prover stakes ZKC as collateral before taking on a task; submits valid proofs to earn rewards; if they default, a penalty mechanism is triggered. This turns computing power contributions into verifiable, incentivized actions.
3. Role and Key Parameters of Token ZKC
Genesis Total Supply: 1,000,000,000 ZKC.
Circulation at Initial Launch: Approximately 200,937,056 ZKC (about 20.09%).
Inflation/emissions Mechanism: Initial inflation is about 7%, gradually decreasing to ~3% annually. Rewards are primarily given to provers/stakers, forming a use-collateral-reward closed loop.
4. Value Pathway and Sustainability
As more dApps/Rollups migrate computing to Boundless, the demand for proofs will become the actual usage of ZKC;
the staking lock of provers can suppress short-term circulation pressure;
toolchain + SDK + multi-chain compatibility will accelerate access speed and promote large-scale usage.
5. Recommendations
Developers: First submit a test proof to evaluate latency, costs, and integration difficulty;
Community/Content Creators: Use plain language to break down PoVW, how to become a prover, how to submit proof;
Research/Investors: Focus on proof request volume, number of prover nodes, and ZKC staking ratio.
Conclusion
Boundless is advancing zero-knowledge proofs from a tool layer to an infrastructure layer. The PoVW + universal zkVM architecture provides ZKC with a clear 'utility + incentive' pathway; future success hinges on the scaling of proof requests and the speed of ecosystem integration.
#boundless @Boundless $ZKC