ETH 3,842.18 ▲ 1.2%SOL 218.45 ▲ 3.4%BTC 98,420 ▲ 0.8%GAS 24 gwei ▼ 3MEMPOOL 142 txnsMEV/BLOCK 0.0847 ETHCACHEE L1 31nsHIT RATE 100%
ETH 3,842.18 ▲ 1.2%SOL 218.45 ▲ 3.4%BTC 98,420 ▲ 0.8%GAS 24 gwei ▼ 3MEMPOOL 142 txnsMEV/BLOCK 0.0847 ETHCACHEE L1 31nsHIT RATE 100%
The Hidden Bottleneck
Every MEV searcher has the same bottleneck — and most don't know it
Searchers obsess over mempool latency and builder relationships. But state lookups — the middle of the pipeline — consume 15-30ms per opportunity and nobody optimizes it.
🔍
Mempool Scanning
Transaction arrives. Searcher parses target contract, amounts, slippage. Everyone's fast here.
~5ms (optimized)
⚡
State Lookups
Check pool reserves, token balances, gas price, liquidation thresholds — 15-30 lookups per opportunity. This is where Cachee wins.
15-30ms (Redis/RPC)
🧮
Simulation & Bundle
Simulate the sandwich/arb/liquidation. Build the bundle. Submit to builder with optimal gas bid.
~10ms (EVM sim)
The math that matters: A typical MEV window is 200-500ms from detection to builder. State lookups consume 15-30ms — up to 15% of your time. With Cachee: 0.2-0.5μs. That 30ms you recover lets you simulate 100× more scenarios and beat competitors to the builder.
The Transformation
Same searcher. Same strategy. Different state layer.
Standard MEV Stack
~50ms
Mempool → Bundle submitted
State lookups15-30ms (Redis/RPC)
Pool reserves1ms per pair
Token balances1ms each
Scenarios tested3-5 per window
Win rate12-18%
Cachee MEV Stack
~20ms
Mempool → Bundle submitted
State lookups0.2-0.5μs (L1)
Pool reserves31ns per pair
Token balances31ns each
Scenarios tested500+ per window
Win rate30-45% (projected)
How It Works
Three layers of MEV-optimized caching
1
Predict On-Chain State
AI watches block patterns, mempool flow, and gas trends to predict which pool reserves, token balances, and liquidation thresholds will be queried next.
30 sec prediction window
2
Pre-cache to L1 Memory
Predicted state loads into in-process L1 memory — direct pointer access, no network hop. 500 hottest pairs, top lending positions, and gas state live at 31ns.
31ns per GET
3
Serve at Wire Speed
Every state lookup hits L1. Simulation runs 100× faster. Bundle goes to builder 30ms ahead of Redis-backed competitors.
183,000× vs Redis
MEV Strategy Coverage
Every MEV strategy is state-bound. Cachee unbinds them all.
🥪
Sandwich Attacks
4-6 state lookups per target. Cachee serves all 6 in <190ns total vs 6ms+ via RPC.
⚖️
DEX Arbitrage
10-20 pool reserves simultaneously. Cachee scans all pairs in 620ns.
💧
Liquidations
Pre-cache top 10,000 at-risk positions. Instant detection when thresholds breach.
🔗
CEX-DEX Arbitrage
$233M extracted by 19 searchers. Cachee makes DEX state as fast as CEX.
🏗️
Block Building
Evaluate 10× more bundles per 12-second slot.
🌐
Cross-Chain MEV
Cache state from Ethereum, Solana, Arbitrum, Base, Polygon in one L1 layer.
The Value
What 183,000× faster state lookups are worth
Conservative modeling from public MEV data: $3B+ annually on Ethereum, 90% of validators use MEV-Boost, searchers retain 10-50%.
$144M+
Projected annual alpha — top-20 searcher on Cachee
How we model it: Top 3 searchers captured $170M over 19 months. A top-20 searcher extracts ~$15M/yr. Cachee's latency advantage translates to ~2× win rate improvement: +$15M wins + $11M optimization + $5M gas + $3M infra. The real edge compounds: faster state → more sims → better bundles → more wins → more capital → wider moat.