Heyfab

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Heyfab

Heyfab

@heyfab11

Content creator/Artist - @donutAI 🍩 contribute - @Genlayer trading - @liquidtrading

Katılım Ocak 2026
91 Takip Edilen118 Takipçiler
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Heyfab
Heyfab@heyfab11·
My journey with Donut Browser 🍩 From the very beginning, I focused on contributing with purpose. I’ve now reached Level 50 in the @DonutAI community, and every step of the journey has been about learning, building, and supporting the ecosystem. I regularly join weekly events, stay active in discussions, and contribute whenever I can. Instead of chasing quantity, I focused on quality. So far, I’ve created 26 pieces of content each one made with effort, creativity, and genuine interest in the project. Every post, every thread, every piece of art was my way of supporting the community. And today something special happened… For the first time in real life, I finally tried Donut 🍩 while being part of the Donut journey. It felt like a fun and symbolic moment after spending so much time contributing to the ecosystem. Sharing some photos and videos from today’s Donut moment. Sometimes small moments make the journey even sweeter. Thanks to the amazing @DonutAI community for the motivation and support. Level 50… and still going. @DonutAI @DonutQueenLuna @GigiWillliams @zzzgnost
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Heyfab
Heyfab@heyfab11·
Most traders are still juggling multiple platforms just to get the basics right. That friction? It adds up fast. That’s exactly where @liquidtrading stands out 👇 Instead of switching tabs, apps, and tools, it brings everything into one unified trading experience. What does that actually mean? All positions visible in one place Real-time risk alerts → no surprises Smart order routing → better execution automatically Institutional-grade tools → without the complexity You’re not just trading faster you’re trading smarter. Why does this matter? Because in trading, three things are everything: Time Clarity Execution quality Liquid optimizes all three. Here’s what really makes it different: One interface, multiple venues Access to a wide range of assets Best prices, auto-routed in real time Everything unified positions, yield, analytics No chaos. No fragmentation. No unnecessary risk. Just a smoother, more efficient way to trade. That’s why Liquid isn’t just another platform it’s becoming the standard. @liquidtrading @f1nk1r
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Heyfab
Heyfab@heyfab11·
Trading tools are fragmented. Charts here. Execution there. Alerts somewhere else. @DonutAI D0 flips that model completely. Everything runs through one interface: just type → and it happens. No switching tabs No dashboards overload No wasted seconds Instead of juggling tools, you get a single continuous flow: • check market conditions • identify opportunities • execute trades (spot + perps) • deploy strategies • monitor positions All inside one chat. What’s actually powerful here isn’t just convenience it’s speed of action. The gap between: “this looks like a good trade” and “trade executed” …basically disappears. D0 acts like a trading co-pilot: • tracks smart money movements • watches funding rates • manages TP/SL automatically • sends alerts when things change • keeps your PnL updated in real time Even when you’re offline. This changes the game. Trading becomes less about tools and more about decisions. No friction. No clutter. Just execution. If this direction works, the future of trading won’t be dashboards… It’ll be conversations. Try it: getdonut.ai
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Zayn
Zayn@zaynnn_eth·
Everyone is still reading from browsers. Donut is creating a browser that can actually act. That’s the distinction. With the Donut AI Browser, you don’t have to go through scrolling numbers and tabs. Instead you interact with an artificial intelligence agent that can do all of the following: → Identify opportunities in the entire web space → Evaluate risks immediately → Develop strategies out of ideas → Execute transactions on-chain within the browser No distraction. No need for multiple platforms. No delays. That’s not an improvement. That’s an entirely new approach to browsing. Imagine if your browser can trade with you. Even for you. The divide between information gathering and trading is blurring. @DonutAI is innovating exactly at that point of convergence.
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Ranas
Ranas@ranas1814·
@heyfab11 that is real traction, not just hype anymore, gliquid sir
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Heyfab retweetledi
Heyfab
Heyfab@heyfab11·
Liquid just quietly raised another $18M bringing total funding to $25M+ But the real story isn’t the funding… it’s the traction. In just 7 months: • 40K users • 120+ countries • $3B trading volume That’s not “early-stage noise” that’s real usage. They’re building a mobile-first trading app where everything lives in one place: stocks pre-IPO access prediction markets forex commodities crypto Basically… a unified trading layer. The interesting part? They’re not positioning as “just another exchange” They’re going after how people actually trade today: fast global multi-asset mobile-native No switching apps No fragmented liquidity No outdated UX And clearly, users are responding. Most projects talk about vision @liquidtrading is already showing behavior. Still early… but the direction is clear. If they keep this pace, this could turn into something much bigger than expected. Let’s see how far they push it 👀 @liquidtrading @f1nk1r
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Liquid@liquidtrading

Today, we're announcing an $18 million Series Seed, led by @neo and @leftlanecap, with continued support from Paradigm, General Catalyst, and other top VC firms — bringing our total raised to over $25 million.

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Valmir
Valmir@0xValmir·
@heyfab11 After this new raise, ppl cant fade Liquid!
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Heyfab retweetledi
Heyfab
Heyfab@heyfab11·
Crypto evolved in layers. Bitcoin showed that money can exist without trust. Ethereum showed that applications can run without trust. But decision-making? That part still hasn’t fully moved on-chain. That gap is more important than most people realize. Blockchains today are great at executing logic, but they don’t actually reason. They follow predefined rules: “If X happens → do Y” No flexibility. No context. No real understanding. And that becomes a limitation very quickly. Real-world situations aren’t binary. Data is messy, incomplete, and constantly changing. Simple if-else logic can’t handle that complexity. This is where GenLayer takes a different approach. Instead of just making execution trustless, it focuses on making decisions trustless too. With GenLayer, systems can: → Interpret real-world inputs → Use AI to process and reason → Validate outcomes through consensus → Handle logic beyond rigid rules This shifts blockchains from automation to intelligence. Rather than fixed contracts, you get systems that can adapt. They can evaluate different inputs, consider context, and arrive at outcomes dynamically while still being transparent and verifiable. That unlocks a new class of applications. Adaptive systems that respond to change Autonomous agents that act independently Transparent processes where decisions can be audited The use cases go far beyond what we see today. On-chain dispute resolution AI-driven governance Autonomous financial strategies Protocols that react to real-world data Zooming out, the evolution looks like this: First came trustless money. Then trustless applications. Now we’re entering the era of trustless decision-making. GenLayer isn’t trying to compete as just another blockchain. It’s aiming to become the layer where AI, agents, and decentralized systems can actually think and make verifiable decisions. If this direction succeeds, we move from: “Code is law” to something more powerful: “Reasoning is verifiable.” @GenLayer
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Heyfab
Heyfab@heyfab11·
20 new trading pairs just dropped on Donut Perps. Not just majors a mix of high-liquidity and narrative-driven assets: $BTC $ETH $SOL $BNB $XRP $DOGE $HYPE $TRUMP and more. All USDT-margined perpetuals. This is a serious expansion. What stands out isn’t just the listings it’s how you trade them. With D0, you’re not manually clicking entries and exits. You define a strategy once, and the AI handles execution. No emotions. No hesitation. Example strategy: "Short BTC, size $100, SL 78000, TP 70000" That’s it. D0 takes that instruction and executes it exactly as defined even while you’re offline or asleep. This changes the trading experience in a few key ways: → Removes emotional bias → Ensures disciplined execution → Saves time on monitoring charts → Makes strategies more systematic It’s closer to automation than traditional trading. And because these are perpetual futures, you’re not limited by spot constraints. You can: → Go long or short → Use leverage → React to market conditions instantly (via D0 execution) Flexibility matters in volatile markets. The addition of newer pairs like $HYPE and $TRUMP also shows something interesting: Donut isn’t just focusing on blue chips. They’re leaning into market narratives + trader demand. That’s where volume usually flows. But tools like D0 aren’t magic. Your results still depend on: → Strategy quality → Risk management → Position sizing Automation amplifies your plan good or bad. If used right, this is powerful: Set clear rules. Define risk. Let execution stay consistent. That’s something most traders struggle with manually. We’re slowly moving toward a model where: Humans → define logic Agents → execute flawlessly And platforms like Donut Perps are leaning into that shift early.
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Heyfab
Heyfab@heyfab11·
AI is creating faster than we can verify. That’s the real bottleneck. And two very different projects are trying to solve it in similar ways. At first glance, MergeProof and GenLayer seem unrelated. One is for developers The other is for AI + blockchain But look deeper… Both are tackling the same core problem: How do you trust what gets generated? In today’s world: AI writes code AI generates outputs AI makes decisions But verification? Still manual, slow, and inconsistent. So both systems introduce something new: → Economic incentives for truth With MergeProof: You stake on your code “I’m confident this works” Reviewers are rewarded for breaking it So reviewing becomes: Not a favor But a competitive process With @GenLayer : Multiple validators run AI-generated logic They compare outcomes And consensus decides what’s valid So execution becomes: Not blind trust But coordinated verification Different layers. Same philosophy. MergeProof → Dev workflow layer GenLayer → Protocol layer One asks: “Should this code be merged?” The other asks: “Should this output be trusted?” And here’s the bigger shift: Verification is no longer just technical. It’s becoming economic infrastructure. Because in a world where AI can generate infinite outputs… The real value isn’t creation. It’s proving what actually works. This is where things are heading: From trust-based systems → to incentive-driven validation And that shift might matter more than AI itself.
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