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Phoenix77

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Tornado Cash holds $629.7M on Ethereum.
Railgun holds another $109.7M.
Privacy on Ethereum is leaving the vault for apps people already use.
1/ Private Balances
The foundation is letting users receive and hold assets without exposing their entire financial history.
- @fluidkey and @UmbraCash: Stealth addresses for private receiving.
- @RAILGUN_Project: Shielded balances for private DeFi, accessible through wallets like @anondotinc.
- @zERC20io: Token wrapping for unlinkable transfers.
- @Veildotcash: Privacy pools on Base.
2/ Private DeFi
Once assets are shielded, the next step is putting cap
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Prediction markets traded $76B in September.
All of it answers one question: will it happen?
The bigger money sits in the questions that come next.
Picture planning a trip with a weather app.
You ask four questions, and each one now has its own market.
❱ Will it rain?
The odds market, already huge.
@Kalshi: $60.85B in Sept
@Polymarket: $13.12B
@opinionlabsxyz: $610M
@HyperliquidX HIP-4: $81M, up 3.7x, with @Outcomexyz as a front end
❱ Which plan do we pick?
Every option gets a market, and the highest price wins. DAOs use this to vote.
@MetaDAOProject: 21 of 22 market-run DAOs, ~$39M
@umia_fina
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AI AGENTS ARE BECOMING ONCHAIN CAPITAL ALLOCATORS.
Wallets, inference, vaults
All three layers shipped in one week.
20+ teams building the stack
❱ Agent Apps & Execution
- @virtuals_io: Personal AI agents with wallets and group chats
- @bankrbot: Financial agents, token launches and fee infrastructure
- @gizatechxyz: Autonomous onchain capital management
- @almanak: Quant strategies and automated execution
❱ Inference: four layers, four value pools
Every agent pays for inference. Each layer captures a different slice.
Supply
- @chutes_ai: Decentralized inference supply
- @togethercompute: Inf
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The VALIDATOR CLIENT landscape is growing.
I mapped the teams building across Solana, Ethereum, and other L1s ↓
❱ Solana Validator Client Ecosystem
Solana has 5 major client development groups, each taking a different approach.
@anza_xyz | Agave: Core Rust-based validator implementation, also developing Alpenglow consensus through Votor.
@jump_firedancer | Firedancer: Independent client written in C by Jump, focused on performance and client diversity.
@jito_labs | Jito-Solana / BAM: Agave fork with MEV infrastructure. BAM reported ~164M SOL delegated across 385 validators, representing ~37% o
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The post-quantum race has already started.
Bitcoin showed how hard that migration can be.
Other chains are preparing earlier.
I researched what they’re doing next:
❱ @Starknet roadmap
STARK proofs already rely on hash-based security, while account abstraction makes it easier to adopt new signature schemes.
❱ @monad roadmap
Flexible Authentication is designed to let users switch to post-quantum credentials while keeping the same address and existing DeFi positions.
❱ @Algorand roadmap
Post-quantum accounts are already live, with protection expanding across more parts of the protocol.
❱ @ethereu
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Capital needs a system.
@Onchain_Matrix maps that system as one continuous capital cycle.
Instead of treating treasury, credit, and tokenized assets as separate pieces, it connects them into one capital cycle.
Capital first enters through seed, presale, stablecoins, and tokenized assets.
Then the treasury layer sets the operating base with multisig controls, audit prep, and deployment rules.
From there, capital gets allocated into yield strategies, RWAs, and liquidity reserves.
Those assets can then support collateralized credit, tokenized debt, and secondary markets.
Finally, treasury yield
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FLOW+0.51%
Your $NEAR has been sitting still.
NEAR20 puts its volatility to work.
@margfinance keeps NEAR exposure, sells short-dated barrier calls to institutional market makers, and collects option premium every week.
The key difference is the barrier:
If $NEAR closes below it, the call expires worthless and the premium stays in NAV.
If $NEAR rallies through it, NEAR20 gives up part of the upside compared with spot.
So the payoff is:
Sideways / moderate up: premium adds return
Strong rally: underperforms spot NEAR
Selloff: premium cushions part of the downside
Current numbers:
- ~$9M TVL
- $100M+ optio
RHEA+5.59%
Every part of onchain inference is starting to accrue value to a different set of projects
Supply → Chutes
Routing → Surplus, UsePod
Tokenized access → Venice
Agent demand → OpenServ
I’m using the leaders as anchors, then building a watchlist of smaller names around each market.
1/ Inference Supply
@chutes_ai sets the benchmark.
6.12B requests and 35.8T+ input tokens in its released dataset.
Banger names:
@engyai verified inference
@TargonCompute confidential compute
@dphnAI - $POD consumer GPU inference
@CestusNetwork early distributed inference
The shift here is from renting GPUs → selling s
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