CoinProphet_ETH

Looking at how blockchain RPC operators have become a critical layer in the infrastructure, it's striking how many run profitable operations fueled by MEV capture. These operators effectively hold the keys to transaction ordering—they can observe pending transactions and frontrun opportunities before settlement occurs. It's a lucrative position that conventional blockchain users rarely scrutinize. The ability to see what's coming through the mempool creates significant competitive advantages, turning infrastructure provision into what's essentially a high-margin revenue stream for those operat

Ethereum Gas Fees Hit Historic Lows: What It Means for Users
The ETH network just posted some impressive numbers—average gas fees nosedived to 0.033 gwei, translating to transaction costs under $0.01. That's the kind of efficiency we've been waiting for.
What's driving this? Network congestion has eased noticeably, unlocking smoother on-chain operations across the board. For everyday users, it means cheaper interactions. For DeFi participants, the friction that's been eating into yields just got a whole lot smaller.
Lower gas practically reshapes the economics of small transactions and repeate

Has anyone got updates on when Solidity will roll out the transient keyword and data type? I've been keeping an eye on the roadmap, and curious if there's any timeline or EIP draft that's been circulating. This could be pretty significant for smart contract gas optimization, so wondering if the core devs have signaled anything concrete about when we might see this ship.

Ethereum's leading voice is pushing the community to recalibrate priorities. Rather than chasing mainstream adoption at all costs, the focus should shift toward what actually matters: decentralization, privacy, and user self-sovereignty.
The challenges are real. Node participation is becoming more concentrated. Validator diversity is under pressure. Centralization creep happens quietly, then suddenly it's a problem. That's why 2026 is being positioned as a critical milestone—a year to "take back lost ground" before the window closes.
What does that look like in practice? Private transaction la

In 2026, we officially declare war on centralized hegemony.
Looking back over the past decade, the crypto ecosystem has experienced a regrettable "reflow phenomenon"—a large number of users and assets being absorbed back into centralized exchanges and custodial applications. This trend has almost become the industry norm, as technological advancements seem to reinforce centralized control.
The turning point has arrived. The Ethereum community and core developers recently announced a new development plan—clearly aimed at "regaining lost ground." Leaders like Vitalik Buterin have officially laun

The Ethereum Developer Acceleration Program's recently concluded x402 Hackathon has produced many interesting projects. Among them, the x402-sf developed by the Superfluid team has attracted a lot of attention—this solution focuses on end-to-end subscription infrastructure, making native internet continuous payments possible and opening up exciting possibilities for on-chain subscription economies. Additionally, projects like Cheddr Payment Channels also demonstrated developers' ongoing efforts to optimize payment channels and transaction efficiency. The results of this hackathon reflect that

The latest batch minting solution is showing impressive results. Users are seeing around 35% in gas savings with significantly fewer failed transactions compared to standard methods. The auto-split receipts feature streamlines the whole process, and the pooling mechanism is already live for the next drop on $SOMI.
What's next on the roadmap? Implementing per-wallet refunds and refining the gas estimator will take this from solid to exceptional. These additions should eliminate remaining friction points and give users more granular control over their transaction costs. The combination of effici

Remember when AI coding assistants barely existed? Back then I'd juggle 2 or 3 side-projects max, and still couldn't ship them. It was brutal.
Then AI coding agents entered the chat. Game over.
Now? I've got 15-20 unfinished projects scattered everywhere. Yeah, that sounds worse—but here's the thing: the barrier to *starting* something just collapsed. Ideas flow faster than execution. You spin up prototypes in hours instead of weeks. The bottleneck shifted from "can I build this?" to "do I actually want this done?"
It's fascinating and chaotic at the same time. More projects means more experim

Open-source model for real-time detection of unsafe images—lightweight, efficient, and ready to integrate into your security workflows.

MIT's recent research成果 is quite interesting—by using a recursive AI questioning method, they managed to improve the quality of responses by 110%. In simple terms, it involves repeatedly asking the AI the same question, each time refining the answer until the best result is found. It sounds like you don't need any coding skills, and ordinary users can try a similar approach. The key is to be patient, ask multiple times, and maybe you'll uncover the AI's hidden true capabilities.

Earlier last year, I developed an open-source AI agent framework. Recently, I found that someone in the community has already built application tools based on this framework, which is quite interesting 😂
This tool can run multiple AI agents simultaneously on X and Telegram. It has been tested in a certain community ecosystem project and performs very stably, still functioning normally. The entire project code is lightweight, fully written in TypeScript, and performs well. It's quite gratifying to see open-source projects being accepted and extended by the community.

What is Fogo's core competitive advantage? Why can an L1 blockchain achieve 136k TPS and 40ms block times?
The answer lies in its technology stack choice. Fogo uses the independently developed Firedancer client, a solution that directly targets institutional-grade applications—extreme speed and ultra-low latency. In other words, this is not just simple performance stacking, but a deep architectural optimization for high-frequency trading scenarios and the DeFi ecosystem.
Compared to traditional blockchain clients, this customized solution has obvious advantages in transaction confirmation, net

Most Layer 2 solutions have a tricky problem: gas isn't really in your hands. Think about it—you're stuck with the gas token they picked, the fee structure they set, and whether your transaction gets priority? That's all on them.
Sure, relayers and paymasters throw some workarounds at the problem. But here's the thing: they're just patches plastered over someone else's system. You're operating within constraints someone else wrote the rules for.

Consumer appchains are redefining how teams approach gas economics and user onboarding.
The typical model works like this: the first 100 transactions run gasless, with the protocol covering costs during early adoption. After that initial period, fees activate normally as the protocol reaches sustainability.
Here's the catch though—this strategy is notoriously fragile on Layer 2s. The underlying sequencer dependencies and shared security model create structural vulnerabilities that make long-term gasless guarantees risky.
On a sovereign Layer 1, it's fundamentally different. Gasless mechanics a

Breaking news hits social platforms first—and certain advanced AI systems capture that raw information stream in real-time, while competitors are still waiting for formal articles to surface.
The difference? Direct access to live data feeds means instant context.
Other AIs operate on a delay. They process published content. But the most cutting-edge AI platforms? They tap into the actual flow of global information as it happens—no lag, no filtering, pure real-time intelligence.
That's the competitive edge: live-context capabilities that let you see what's unfolding before it becomes yesterday'

WINkLink Oracle quickly integrates into the HTX and TRX ecosystems, providing more stable data support for the DApp application layer. In the DeFi system, the reliability of price data sources directly determines the security of contract execution—any data deviation could trigger pricing vulnerabilities.
This time, by connecting HTX assets with the data channels of the Tron chain, transparent cross-chain price information flow has been achieved, effectively reducing the risk exposure at the application layer. For developers, this provides a more solid infrastructure guarantee; for the ecosyste

How does web-native Bitcoin access actually work? The challenge has always been bridging traditional web infrastructure with blockchain networks. Native's approach tackles this head-on by enabling direct, browser-based Bitcoin interaction without the usual friction points. Built on Cosmos infrastructure, this solution removes intermediary layers that have historically slowed down web3 adoption. The result? Smoother user experience, better accessibility, and a genuine step toward mainstream blockchain integration through familiar web platforms.

Eight months back, I completely rewrote the x402 protocol on Solana. That project pulled me straight into the automation deep end.
The rabbit hole? It's all about autonomous agents. Google's A2A framework opened up new possibilities for agent-to-agent interactions. Their Agent Development Kit made deploying runtimes to cloud infrastructure surprisingly smooth.
Fun bonus: picked up Kubernetes along the way. When you're building scalable systems on Solana, understanding container orchestration becomes essential. The whole tech stack clicked once I connected the dots between decentralized protoco

Recently spun up Claude Code in my homelab and managed to pull off some seriously impressive setups. Got a PostgreSQL Docker container running smoothly, built out a local knowledge base in markdown to organize different project workflows, then automated the backup process—everything flows directly from the Docker image to my local storage without breaking a sweat.
The real kicker? Synced those backups to Google Drive with end-to-end encryption through rclone. The whole pipeline just works. No manual intervention, no scattered files, just pure automation handling the heavy lifting. It's the kin

Claude is integrating JJ and adding native JJ remote retrieval functionality, so that the Agent can communicate directly using the JJ protocol. Progress is going well.
If you're interested, you're welcome to join the development and testing of the libp2p network protocol.