When you tap “Mirror” in Senpi, it looks simple.

Behind the scenes, it’s one of the hardest engineering problems in all of crypto.

Hyperliquid processes up to 200,000 on-chain order-events per second and supports tens of thousands of traders opening, closing, flipping, scaling, and adjusting complex derivative positions in real time.

HL traders can:

• Open long/short positions with leverage

• Add to or reduce positions

• Change leverage mid-flight

• Flip long → short or short → long

• Use market, limit, post-only, IOC, and TWAP (firing dozens/hundreds of micro-fills)

• Close positions through fragmented fills

• Execute multi-asset strategies across dozens of tickers

The good news: All of this is onchain, with fee incentives that discourage wallet rotation.

The challenge: Replicating all of this exactly, deterministically, and in real time for thousands of users.

Senpi set out to build the most precise mirror trading system in the Hyperliquid ecosystem.

Real-time, lossless indexing of the entire Hyperliquid ecosystem.

Responsibilities:

• Track every HL trader and every trade in real time

• Reconstruct true positions from raw fills (including TWAP slice fills)

• Calculate size, leverage, notional, PnL, direction changes, and liquidation risk

• Maintain complete state for each tracked trader

• Run on Senpi-owned HL nodes + internal high-throughput databases

• Enrich data with streams from Allium and Hydromancer

Purpose:

Ensure Senpi always knows the exact and current state of every OG trader.

Deterministic, moment-accurate execution.

Responsibilities:

• Mirror every open, close, scale-in/out, flip, and leverage adjustment

• Translate each trader’s action into proportional execution for each Senpi user

• Send transactions directly to Hyperliquid with optimized writers

• Handle edge cases: micro-fills, fragmented exits, partials, rapid-fire deltas

• Preserve state synchronization across volatile markets

Purpose:

If the OG trader moves, Senpi moves — instantly and precisely.

Continuous correction and realignment.

Responsibilities:

• Detect any drift between a user’s position and the OG trader

• Recalculate true deltas when divergence occurs

• Issue corrective trades to restore perfect alignment

• Validate execution integrity across all mirrored users

• Ensure long-term consistency across complex multi-step trade sequences

Purpose:

A self-healing system that always brings positions back into perfect sync.

The next evolution of automated trading: understanding and optimizing strategies.

Analyzes:

• Every trader

• Every trade

• Every position

• Every strategy

• Every PnL pattern

• Every behavior shift

• Every risk flag

• Every long-term trend

WIP capabilities:

• Recommend the best HL traders for each Senpi user

• Evaluate trader quality, consistency, volatility, and regime shifts

• Assess user performance and suggest better portfolio mixes

• Detect overexposure or declining strategy performance

• Recommend reshuffling or rotating into stronger strategies

• Maintain memory of every trade and strategy a user has ever run

• Build cross-user intelligence models for broad pattern detection

Purpose:

Evolve Senpi from a mirroring tool into a personalized trading intelligence system.

Mirror trading isn’t “copy what they do.”

It’s perfect state replication across high-frequency, leverage-driven markets.

Hyperliquid is the fastest and most technically advanced perps environment in crypto.

To build Senpi, we had to engineer systems that match — and in some places exceed — HL’s precision.

Result:

Senpi now mirrors the world’s top 1% traders with unprecedented fidelity.

Soon, with the Intelligence Engine, it will help users choose better, trade better, and perform better.

This is the future of trading.

And we’re just getting started.

When you tap “Mirror” in Senpi, it looks simple.

Behind the scenes, it’s one of the hardest engineering problems in all of crypto.

Hyperliquid processes up to 200,000 on-chain order-events per second and supports tens of thousands of traders opening, closing, flipping, scaling, and adjusting complex derivative positions in real time.

HL traders can:

• Open long/short positions with leverage

• Add to or reduce positions

• Change leverage mid-flight

• Flip long → short or short → long

• Use market, limit, post-only, IOC, and TWAP (firing dozens/hundreds of micro-fills)

• Close positions through fragmented fills

• Execute multi-asset strategies across dozens of tickers

The good news: All of this is onchain, with fee incentives that discourage wallet rotation.

The challenge: Replicating all of this exactly, deterministically, and in real time for thousands of users.

Senpi set out to build the most precise mirror trading system in the Hyperliquid ecosystem.

Real-time, lossless indexing of the entire Hyperliquid ecosystem.

Responsibilities:

• Track every HL trader and every trade in real time

• Reconstruct true positions from raw fills (including TWAP slice fills)

• Calculate size, leverage, notional, PnL, direction changes, and liquidation risk

• Maintain complete state for each tracked trader

• Run on Senpi-owned HL nodes + internal high-throughput databases

• Enrich data with streams from Allium and Hydromancer

Purpose:

Ensure Senpi always knows the exact and current state of every OG trader.

Deterministic, moment-accurate execution.

Responsibilities:

• Mirror every open, close, scale-in/out, flip, and leverage adjustment

• Translate each trader’s action into proportional execution for each Senpi user

• Send transactions directly to Hyperliquid with optimized writers

• Handle edge cases: micro-fills, fragmented exits, partials, rapid-fire deltas

• Preserve state synchronization across volatile markets

Purpose:

If the OG trader moves, Senpi moves — instantly and precisely.

Continuous correction and realignment.

Responsibilities:

• Detect any drift between a user’s position and the OG trader

• Recalculate true deltas when divergence occurs

• Issue corrective trades to restore perfect alignment

• Validate execution integrity across all mirrored users

• Ensure long-term consistency across complex multi-step trade sequences

Purpose:

A self-healing system that always brings positions back into perfect sync.

The next evolution of automated trading: understanding and optimizing strategies.

Analyzes:

• Every trader

• Every trade

• Every position

• Every strategy

• Every PnL pattern

• Every behavior shift

• Every risk flag

• Every long-term trend

WIP capabilities:

• Recommend the best HL traders for each Senpi user

• Evaluate trader quality, consistency, volatility, and regime shifts

• Assess user performance and suggest better portfolio mixes

• Detect overexposure or declining strategy performance

• Recommend reshuffling or rotating into stronger strategies

• Maintain memory of every trade and strategy a user has ever run

• Build cross-user intelligence models for broad pattern detection

Purpose:

Evolve Senpi from a mirroring tool into a personalized trading intelligence system.

Mirror trading isn’t “copy what they do.”

It’s perfect state replication across high-frequency, leverage-driven markets.

Hyperliquid is the fastest and most technically advanced perps environment in crypto.

To build Senpi, we had to engineer systems that match — and in some places exceed — HL’s precision.

Result:

Senpi now mirrors the world’s top 1% traders with unprecedented fidelity.

Soon, with the Intelligence Engine, it will help users choose better, trade better, and perform better.

This is the future of trading.

And we’re just getting started.