#web3job #epicweb3

🧞Epic Web3 is looking for a X Growth Manager to take Twitter (X) presence to the next level, grow and engage with the community.

We organize global Web3 & deAI conferences. Over the past two years, we've hosted more than 30 events worldwide.

📌What We’re Looking For:
• 1+ year of experience in Web3
• Strong experience with Twitter (X) growth strategies
• Familiarity with growth hacking techniques

📍Key Responsibilities:
• Develop and implement a growth strategy
• Create daily tweets (posts, memes, threads)
• Generate viral memes to engage the Web3 community
• Reply to trending posts and quote-tweet relevant content to build visibility
• Maintain a content calendar to ensure consistent posting
• Track, analyze key metrics, and adjust strategy for better results

✅ What We Offer:
• Remote work with a flexible schedule / part-time
• Opportunities in the fast-growing Web3 space
• Collaborate with a passionate, driven team

💌 Interested?
Send us a DM @Ni_balaba

Making successful Web3 game: 3 tips from @ton_tongames and their founder Daniil Shcherbakov

📈 Focus on quality over trends
Many developers in the Telegram gaming space rely on trends like "click-to-earn" mechanics, where players perform basic actions to earn tokens or rewards.

Instead, emphasize creating polished, meaningful gaming experiences that provide lasting value. This approach ensures their games appeal to broader audiences and maintain retention beyond initial hype cycles.

🧠 Create a careful token strategy
Don’t launch a token prematurely to generate short-term interest. Better focus on building games with robust monetization, loyal audiences, and sustainable economics.

Token launches should be considered only when they add meaningful utility to the game and its ecosystem. By delaying token generation events, you can avoid the pitfalls of hype and create more stable, engaging products.

🪙 Make monetization user-centric
A key component of the strategy should be respecting users.

Rather than bombarding them with intrusive ads or exploitative monetization tactics, they focus on creating experiences where users feel encouraged, not pressured, to spend money.

This transparent and respectful approach earns trust and engagement from the player base.

The 4 most important challenges in restaking

From the talk with Nader Dabit, Misha, Adam Efrima, Tigran Bolshoi & Warren Paul Anderson

⚖️ Imbalanced expectations - the rapid growth of restaking protocols like EigenLayer has generated significant hype. However, the ecosystem is still in its infancy, leading to a mismatch between expectations and deliverables.

⚠️ Slashing risks - slashing, a critical component of restaking security, has not been fully implemented in most protocols.

Its absence means current risk-taking remains limited to smart contract vulnerabilities and governance risks.

🤖 Technical complexity - advanced cryptographic solutions like ZK proofs and FHE are essential for scaling privacy and security in restaking.

However, these technologies remain resource-intensive and are not yet ready for widespread use in generalized applications.

🛍 UX - establishing a universally understood framework for evaluating AVS risks is a critical UX gap. Without this, both developers and users face uncertainty when assessing potential risks and rewards.

DeFAI: be bullish or be bearish?

4 different opinions

🎶 “Most DeFAI teams are going about it the wrong way. Implicit development requires a completely different approach from the start—teams will need to redo 95% of their architecture to build B, and then spend a year building the base infra” - Vivaldi, Founder journal & research on biohacking, defi, ai

💻 “The future of finance is permissionless and open. Autonomous AI agents will handle everything seamlessly in the background. DefAI is the next big wave—stay bullish“ - Pushpendra Singh, Co-founder of PushpendraTech & SmartViewAI

📈 “DeFAI's market cap is under $1 billion, but I anticipate it could reach $25–$50 billion by the end of 2025“ - Sam Ruskin, Research analyst @messaricrypto

🐵 “What scares me is that 99% of the DeFAI projects we see now won’t survive the next cycle. Most are just memes with a GPT wrapper slapped on top” - The Smart Ape, building BasePumpFUN

We start the year with another event — SE Telegram Builders Day in Hong Kong from @epicweb3! 🪭

The day before Consensus HK starts, speakers from #Blum, #TerminalStation, #AnimocaBrands, #StormTrade, #Fintopio, #TONFoundation and other projects will gather on one stage.

Participants will discuss the latest trends, attracting users and investments, secrets of viral projects, the future of the ecosystem and much more that awaits us in 2025.

The event is FREE, but places are limited, so hurry if you want to join.

🗓️ February 17, Hong Kong

🎫 Get a free ticket 👈

What lies ahead for agents beyond the hype? 🧞‍♂️🤖

Join us in Denver alongside industry experts from CoinFund, Giza, Valory & Olas, Subsquid, Assisterr, and more.

Together, we’ll explore autonomous and multi-agent systems, on-chain agent infrastructure, cybernetic mechanisms in Crypto x AI, and much more.

✨ 20 industry-leading speakers
✨ 300+ attendees
✨ Keynote talks & panel discussions

Secure your spot

📅 February 25
📍 ETHDenver

Why is everybody talking about DeepSeek now? And how it can destroy Nvidia?

🤑 Training top AI models today is prohibitively expensive. Companies like OpenAI and Anthropic spend over $100M on compute alone, relying on massive data centers with thousands of $40K GPUs.

DeepSeek flipped the noscript, managing to train AI models on par with GPT-4 and Claude for just $5M.

How?

🤖 By rethinking AI from the ground up. Traditional AI operates with excessive precision, using 32 decimal places for every calculation. DeepSeek simplified this to 8, reducing memory requirements by 75%.

The real game-changer? DeepSeek's "expert system." Instead of activating all 1.8 trillion parameters like traditional models, they call on only the 37 billion parameters needed for a task.

📉 This method decreases costs and hardware requirements dramatically:
- Training cost: $100M → $5M
- GPUs needed: 100,000 → 2,000
- API costs: 95% cheaper

💪 This enables smaller teams to compete in AI without billion-dollar data centers. It also poses a significant threat to Nvidia, whose business model depends on selling high-margin, expensive GPUs.

Everyone looking at their portfolio after the dump ☹️

Berachain: 3 innovations from the most hyped protocol of the last week

💧 Proof-of-Liquidity (PoL) consensus mechanism

Berachain uses a PoL model that integrates liquidity provision directly into network security.

Participants stake assets into liquidity pools, and these staked assets contribute to network security while also facilitating decentralized trading and lending activities.

The dual functionality enhances security while ensuring that liquidity remains active within the ecosystem, creating a more efficient and dynamic financial environment.

3️⃣ Tri-Token system

$BERA – The network’s native token, used for gas fees and staking.
$BGT (Berachain Governance Token) – A non-transferable governance asset earned exclusively through liquidity provisioning.
$HONEY – A native stablecoin mintable via over-collateralization.

🧸 Built on BeaconKit
BeaconKit is a new framework for Ethereum-based blockchains, serving as a modular consensus layer that brings CometBFT to EVM environments. It has several advantages:

🟢 EVM identical
🟢 Single slot finality
🟢 Optimistic payload building