SpeedyTurtle (engineered by AlpinX) (@speedyturtle_io) - Twitter-Profil

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SpeedyTurtle (engineered by AlpinX)@speedyturtle_io·6d

SpeedyTurtle Public Beta is live. A Solana trading engine built for speed, low fees, and execution. Today, we are opening the first public version of the platform. This is the beginning of a faster, cleaner way to trade on Solana — with more upgrades, more features, and more infrastructure coming soon. Trade smarter. Move faster Start here: speedyturtle.io/join

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Roman@roman_turtle_1·1d

SpeedyTurtle was founded to create the trading experience we wished existed. Thank you to everyone who signed up and supported SpeedyTurtle this week. We are collecting valuable feedback and improving the platform every single day. Your early support means a lot to us. We will not forget the people who believed in SpeedyTurtle from the beginning.

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SpeedyTurtle (engineered by AlpinX)@speedyturtle_io·1d

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Roman@roman_turtle_1

SpeedyTurtle was founded to create the trading experience we wished existed. Thank you to everyone who signed up and supported SpeedyTurtle this week. We are collecting valuable feedback and improving the platform every single day. Your early support means a lot to us. We will not forget the people who believed in SpeedyTurtle from the beginning.

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Roman@roman_turtle_1·1d

The benchmark result matters, but for us, the process behind it matters even more. When we review benchmark data, we do not only focus on the median, the win rate, or the strongest parts of the chart. We focus heavily on the exceptions. One transaction in the benchmark, Transaction #16, is a good example. It landed further behind target than we expect from SpeedyTurtle, so it becomes a review case for the team. For cases like this, we look at the full execution chain: Detection Strategy trigger Transaction construction Routing Infrastructure provider Submission path Validator / network conditions The question is simple: Where did the delay come from, and what can we improve? Sometimes the answer is inside our system. Sometimes it is infrastructure, routing, provider behavior, or network conditions. But every case gives us useful information. This is the standard we want to hold ourselves to: Measure performance honestly. Investigate the weak points. Improve the system continuously.

SpeedyTurtle (engineered by AlpinX)@speedyturtle_io

Benchmark: Trojan vs SpeedyTurtle We measured CopyTrade strategy landing performance by comparing how far behind target each platform landed during execution. Lower is better. Results from this sample: SpeedyTurtle median landing index: 301 Trojan median landing index: 1,277 SpeedyTurtle landed closer to target in 97 of 99 measured cases, approximately 98%. In this benchmark, SpeedyTurtle showed tighter execution consistency, fewer large misses, and stronger landing performance across the sample. Detailed methodology is linked below. Why this matters: In fast Solana markets, execution speed is not just a technical metric. Landing closer to target can mean a better entry, less chasing, and fewer missed opportunities. We highly respect the Trojan team and everyone building in this space. We intend to cover most leading Solana trading platforms. Our goal with this benchmark series is simple: bring more transparency to execution quality. Full benchmark details below.

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Roman@roman_turtle_1·1d

Just to reiterate an important point for us: We have deep respect for the teams building on Solana. This ecosystem moves forward because serious builders are working on infrastructure, trading, execution, wallets, data, and user experience from many different angles. Everyone building in this space is pushing the ecosystem forward in their own way. We are all part of the same broader mission: making Solana faster, more useful, and more accessible for traders and users. Our benchmark series is about transparency, execution quality, and helping users better understand how different tools perform under real conditions. We will do our best to be factual, consistent, and fair in how we present the data. Where SpeedyTurtle performs well, we will show it. Where we need to improve, we will acknowledge it and keep working. And wherever we can meaningfully support other teams and projects in the Solana ecosystem, we will.

SpeedyTurtle (engineered by AlpinX)@speedyturtle_io

Benchmark: Trojan vs SpeedyTurtle We measured CopyTrade strategy landing performance by comparing how far behind target each platform landed during execution. Lower is better. Results from this sample: SpeedyTurtle median landing index: 301 Trojan median landing index: 1,277 SpeedyTurtle landed closer to target in 97 of 99 measured cases, approximately 98%. In this benchmark, SpeedyTurtle showed tighter execution consistency, fewer large misses, and stronger landing performance across the sample. Detailed methodology is linked below. Why this matters: In fast Solana markets, execution speed is not just a technical metric. Landing closer to target can mean a better entry, less chasing, and fewer missed opportunities. We highly respect the Trojan team and everyone building in this space. We intend to cover most leading Solana trading platforms. Our goal with this benchmark series is simple: bring more transparency to execution quality. Full benchmark details below.

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SpeedyTurtle (engineered by AlpinX)@speedyturtle_io·1d

Benchmark details: - SpeedyTurtle (Speedy Engine v1.0) vs. Trojan - Period: June 2026 - Raw on-chain benchmark data, including wallets and signatures: docsend.com/v/yynz5/speedy… - Methodology details: x.com/speedyturtle_i… - Platform configurations are shown in the attached screen recording.

SpeedyTurtle (engineered by AlpinX)@speedyturtle_io

CopyTrade Benchmark Methodology When traders use CopyTrade, speed is only part of the story. What really matters is how close the copied transaction lands behind the original target transaction. This methodology explains how we measure that landing performance across Solana trading platforms under comparable test conditions. Lower values indicate better landing performance.

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SpeedyTurtle (engineered by AlpinX)@speedyturtle_io·1d

Benchmark: Trojan vs SpeedyTurtle We measured CopyTrade strategy landing performance by comparing how far behind target each platform landed during execution. Lower is better. Results from this sample: SpeedyTurtle median landing index: 301 Trojan median landing index: 1,277 SpeedyTurtle landed closer to target in 97 of 99 measured cases, approximately 98%. In this benchmark, SpeedyTurtle showed tighter execution consistency, fewer large misses, and stronger landing performance across the sample. Detailed methodology is linked below. Why this matters: In fast Solana markets, execution speed is not just a technical metric. Landing closer to target can mean a better entry, less chasing, and fewer missed opportunities. We highly respect the Trojan team and everyone building in this space. We intend to cover most leading Solana trading platforms. Our goal with this benchmark series is simple: bring more transparency to execution quality. Full benchmark details below.

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SpeedyTurtle (engineered by AlpinX)@speedyturtle_io·1d

10. Purpose CopyTrade performance is not only about whether a platform eventually executes. It is about how close the copied transaction lands behind the target transaction. In fast Solana markets, landing closer to target can mean a better entry, less chasing, and fewer missed opportunities. This methodology is designed to provide a consistent and repeatable way to compare landing performance across platforms. The methodology may continue to evolve as more data is collected and additional edge cases are identified.

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SpeedyTurtle (engineered by AlpinX)@speedyturtle_io·1d

9. Failed Transactions If a transaction fails on all tested platforms, that data point is excluded. If a transaction fails on only one platform, the data point remains included. In that case, the data point for the successful platform is shown, while the failed platform is shown as missing or unavailable for that data point.

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SpeedyTurtle (engineered by AlpinX)@speedyturtle_io·1d

CopyTrade Benchmark Methodology When traders use CopyTrade, speed is only part of the story. What really matters is how close the copied transaction lands behind the original target transaction. This methodology explains how we measure that landing performance across Solana trading platforms under comparable test conditions. Lower values indicate better landing performance.

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SpeedyTurtle (engineered by AlpinX)@speedyturtle_io·2d

As promised, we are continuing to publish more transparency around execution quality. Over the past few weeks, we have shared how we think about latency, landing speed, and real trading outcomes. Now we are starting a benchmark series comparing SpeedyTurtle against several leading Solana trading platforms using a consistent methodology. The goal is simple: Give traders clearer data on execution performance. Speed matters. Consistency matters. And the worst execution cases matter too. In fast markets, the difference between landing close to target and falling behind can directly affect the trader’s outcome. We respect the teams building in this space, and we believe traders deserve more transparency. We intend to cover major Solana platforms and be transparent about where we succeed, where we fall short, and where we need to keep improving. First benchmarks coming soon.

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SpeedyTurtle (engineered by AlpinX) retweetet

Lau@lourdesanchezok·4d

The more I look at SpeedyTurtle, the more it seems the team has been obsessed with one thing: execution quality. 🏆 SpeedyTurtle → 298 🥈 GMGN → 402 🥉 Banana Gun → 1,241 📍 Trojan → 1,507 (Benchmark Landing Index — lower is better) While much of the market focused on adding more features, SpeedyTurtle appears to have focused on execution, consistency, and trader outcomes. Every trader talks about speed. What matters is where your transaction actually lands. 🚀 Public Beta is LIVE Benchmark results are based on internal testing and on-chain observations under comparable configurations and trading conditions. Results may vary based on market conditions, network congestion, strategy settings, and other factors. Past performance is not indicative of future results. Join us: t.me/SpeedyTurtle_s…

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SpeedyTurtle (engineered by AlpinX) retweetet

Andrew Keller@0xAndrewKeller·5d

Something big is hitting Solana on June 1. Most trading platforms were built on top of the chain. @speedyturtle_io was built for it. ⚡ Rust-native execution engine ⚡ Infrastructure-first architecture ⚡ Optimized around latency ⚡ Engineered specifically for Solana traders ⚡ Groundbreaking subscription model designed to challenge the traditional 1% fee structure used across the industry While most platforms focus on adding features, SpeedyTurtle focused on architecture. Internal benchmarking and on-chain observations under comparable conditions have demonstrated lower latency and more favorable landing positions relative to several major Solana trading platforms. In a market where milliseconds matter, architecture matters. The team has spent months quietly building something special. Now the doors open. 🚀 Public Beta Launch — June 1 Before the trade. Built native. Built fast. Built for Solana. Who's joining the beta? TG: t.me/SpeedyTurtle_s…

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