5 newly launched blockchains with attention. ~$1.06b in fundraising. Nearly $3B in combined TVL. $2.5M combined chain fees generated to date.
What the data says 🧵
🧠 Key takeaways:
1/ TVL ≠ value capture for chains: $2.85B TVL generates just $2.4M/year (0.08% capture).
2/ Monad leads in DEX activity: Highest trading volume and DEX turnover.
3/ Katana stands out as the most sustainable incentive model for token holders with diversified revenue and a self-sustaining loop.
4/ Tech ambition ≠ adoption: Ink shows the strongest perps activity, while MegaETH is the more ideal chain for instant trading.
5/ Poor capital efficiency: $1.06B raised for ~99K DAU (~$10.7K/user); at current revenue, ROI would take centuries.
🧠 TVL & Concentration:
TVL trajectories show 3 patterns:
1/ Plasma peaked at $5.5B post-launch, then steadily declined as early investors exited and token price collapsed 93%
2/ Katana peaked at $677M pre-TGE, then declined post-TGE (a typical sell-the-news pattern where capital leaves once the farming catalyst (token claim) happens
3/ Monad shows the only consistent uptrend, growing from $0 to $377M over 5 months with no major retracement.
4/5 chains derive 60-97% of TVL from a single protocol.
- The Aave playbook is being used on Plasma, MegaETH, and Ink (white-label Aave), while Morpho dominates Monad and Katana.
High protocol concentration creates fragility. If the top protocol exit, pauses, or gets exploited, the chain's TVL traction may collapse.
- Monad shows the most diverse chain, with top #2 and #3 protocols being Monad-native (Curvance, Neverland).
- MegaETH is the outlier as the top protocol by TVL is a native spot DEX, not a lending protocol.
🧠 DEX Volume:
Unlike TVL, which can be passively parked in lending protocols, DEX volume requires active intent. The volume-to-TVL ratio (daily turnover) shows how 'alive' the capital on a chain is.
- Monad's 9% daily DEX turnover ($35.09M on $387M TVL)
- Ink's $184M in daily perps volume on Nado is significant, while daily spot volume is modest at $1,5M.
To compare:
- Base: $562M/day DEX vol on $4.17B TVL (13%)
- BNB Chain: $528M/day on $5.3B TVL (10%)
- Solana: ~$920M/day on ~$5.5B TVL (16%)
Monad's 9% places it in the competitive range of BNB Chain and Base, which is notable for a 5-month-old chain.
Plasma's 0.18% turnover makes it the least actively traded chain relative to TVL in the top 50. But it's still relevant as Plasma aims to be a stablecoin-focused chain.
🧠 Stablecoins:
Stablecoin market cap reflects the depth of dollar-denominated liquidity available for trading, lending, and yield farming.
The dominant stablecoin choice also reveals strategic positioning:
When stablecoin mcap exceeds DeFi TVL, it means significant capital is sitting in wallets undeployed.
- Monad has $78.6M more stablecoins than DeFi TVL (20% of TVL)
- Katana seems to be the healthiest with 43%, most capital is actively deployed in DeFi protocols, not parked.
🧠 Fee Economics
Fee analysis distinguishes between chain-level fees (gas paid to the L1/L2 protocol) and application-level fees (swap fees, lending interest, perps trading fees).
The fee capture rate (percentage of total economic activity the chain itself retains) reveals whether value accrues to the chain's token or to the apps built on it.
A chain with high app fees but low chain fees has a value-capture problem: users are active, but the chain doesn't monetize them.
- Plasma generates $183K/day total, but only $97 reaches the chain (0.05% capture), as Plasma allows free USDT transfers by sponsoring gas, which makes it an ideal chain for payments & remittances.
- MegaETH captures 33.6%, but total fees are only $2.9K/day
- Monad's 6.2% capture rate is the healthiest among larger chains
This mirrors the broader L1 trend noted by CoinDesk Research: L1s now capture only 12% of ecosystem fees (down from 60% in early 2025).
🧠 Revenue Sustainability Models
When token incentives end and unlock sell pressure begins, what sustains each chain?
We rate each chain's post-incentive revenue model, based on fee generation, capital deployment (stables/TVL), trading volume diversity (spot + perps), token structure, and mechanical sustainability of the revenue model.
Katana (85/100):
- Chain-owned Liquidity recycles 100% sequencer fees into permanent. VaultBridge earns 3-5% on L1 assets. AUSD yield feeds the ecosystem. A roadmap to replace emissions with chain fees.
- $25.29M/day perps volume on Katana Perps adds a high-margin fee vertical
- Lowest stables/TVL (42.9%) confirms capital is deployed, not parked.
- No VC selling schedule.
Ink (70/100):
- Kraken's 10M+ users as a zero-CAC funnel
- Nado is the strongest organic trading signal in this cohort
- $10M Aave guarantee ensures Tydro operates for 5 years
- Risks: 84.4% TVL concentration in Tydro, $287/d chain capture, and post-TGE retention risk
Monad (55/100):
- Airdrop hangover is over
- Uses heavy token incentives (38.5% supply) to bootstrap ecosystem activity and staking
- Generates ~$19.7M annualized fees, but much is speculative
- TVL is on an increasing trend. App ecosystem is interesting to try out.
- Risks: big upcoming token unlocks and reliance on incentive-driven usage.
MegaETH (40/100):
- Unique model where stablecoin yield (USDm) subsidizes chain costs → potentially zero fees for users
- $149K/d perps, $2.33M DEX, 3,833 DAU. $15M+ spent bootstrapping ($10M Aave + $5M+ listings) against $1.6M ann. fees = deeply negative ROI
- KPI-gated TGE. Zero conditions met after 2 months
Plasma (20/100):
- Focused on zero-fee USDT transfers, prioritizing adoption over revenue
- Minimal direct chain revenue ($97/day); relies on Aave as top yield source.
- Risks: business model conflicts with fee generation and heavy token dilution pressure
🧠 Token Performance
All chains launched tokens are underwater from ATH:
Plasma: -93%
Katana: -62%
Monad: -25%
MegaETH's milestone-gated distribution (53% of supply tied to onchain KPIs) is unique but also means no token until adoption materializes.
Every cycle, we've seen a wave of new chains that raise hundreds of millions, launch with impressive TVL, and slowly fade when the music stops.
We hope this cycle will be different as we now have faster chains, new incentive models, and crypto is no longer a niche tech.
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Tether, Circle, Stripe, and more are rolling out their dedicated blockchains for global stablecoin payment.
Here are the top competitors in the race 🧠🧵
2/ Don't forget to bookmark this thread or RT for future reference 🔖
3/ Why build more new chains when Ethereum, Solana, and Tron already work?
Because they weren’t designed for:
- Millions of daily transactions with millisecond latency
- Predictable, low-cost fees in the stablecoin itself
- Built-in fiat ramps
- Compliance-friendly privacy
- Custom control over infrastructure and economics
To make the most of this bull market, your feed needs more than just noise
Here’s a curated list of 90 high-signal CT accounts that belong in your “compounding value” portfolio.
(Not in any order - updated 2025) 🧠🧵
Whether you're a retail investor, a builder, a marketer, or a BD in crypto, this is the thread you’ll want to bookmark and return to.
Don’t forget to RT and save it for later 🔖
🧠 Macro & Market Insights:
@DefiIgnas - Smart insights, market analysis, project critiques. His popular Substack blog "Ignas | DeFi Research," delivering in-depth analyses on the most trending crypto topics
@ahboyash - A seasoned GTM strategist with deep market insights
@Route2FI - Narrative-driven psychology, OG DeFi advocate
@patfscott - Market trend breakdowns and analytics
@rektdiomedes - Shares sharp crypto insights. A must-follow to stay ahead of the curve.
@waleswoosh - Web3 guy, NFT and InfoFi mindshare
@arndxt_xo - DeFi, market, and macro insights
@milesdeutscher - Comprehensive analysis: DeFi trends, airdrops, overviews
@ayyyeandy - Rollup insights, multi-chain DeFi, market thoughts
@0xkyle__ - Market analyst, DeFi/macro intersections
@cobie - He's a highly influential figure in the crypto world, best known for his sharp insights, humor, and no-nonsense commentary
@0xLouisT - Crypto VC trends, high FDV, meme dynamics, ETFs
@sjdedic - Ethereum performance, DeFi trends, market updates. He's
Founder & Managing Partner @MoonrockCapital
@dcfgod - He's a prominent crypto investor (EtherFi, Ethena...). He shares sharp insights on yield farming, staking strategies, and more
@redphonecrypto - He's an anon crypto storyteller, philosopher, and innovator known for his sharp insights into blockchain and markets
But who’s just sitting on idle USDT/USDC? CT's chasing low-risk yields with yield-bearing stablecoins
That said, always ask yourself: where’s the yield coming from?
Here's your ultimate yield-bearing stablecoin landscape 🧠🧵
In this thread, we’ll cover some of the most adopted yield-bearing stablecoins, with a quick intro and their total supply
Bookmark or RT to share with friends or save for later! 🔖
🧠 What are yield-bearing stablecoins?
Unlike regular stablecoins like $USDT or $USDC, which just hold value, yield-bearing stablecoins earn passive income while you hold them, like a savings account for your crypto
In 2 days from now, a big safety upgrade will be executed on @aave
- A more resilient safety model for Aave
- Possibly 12% APY on stablecoin staking, 6% APY on ETH
8 things you should know about Aave Umbrella 👻🧵
1️⃣ What's Aave Umbrella?
A new system that lets you stake aTokens - the interest-bearing tokens you get when lending on Aave (aUSDC, aGHO, aWETH) to earn rewards
In return, you take on risk: if borrowers don’t repay and Aave ends up with bad debt (deficit), your staked aTokens can be slashed to help cover the loss
2️⃣ Why is Aave Umbrella better than Safety Module (the current system)?
Safety Module: Users stake $AAVE or LP tokens
=> Not ideal because if Aave has a shortfall in stablecoins like USDC, it has to sell the staked $AAVE to cover it, causing sell pressure and delays.
From data and training infrastructure to frameworks and launchpads, these projects are cultivating a bullish ecosystem for Crypto AI agents.
Let's dive into details 🧵
We spent 5 hours scanning and studying each project building in Crypto AI and Agentic AI so you don't have to.
Don't forget to bookmark this thread or RT for future reference! 🤌
🧠 AI Agent Frameworks:
- @ai16zdao's ElizaOS: multi-agent simulation framework based on Typescript
- @GAME_Virtuals: low-code toolkit, modular agentic framework by Virtual team
- @0xzerebro's Zerepy: open-sourced agent framework based on Python
- @arcdotfun: rust-based rig framework for AI agents
- @aetherdotfun's AetherOS: a framework to build agentic ecosystems and swarms that can work, learn and adapt to each other.
- @ReiNetwork0x: dual-layer architecture to connect AI and blockchain