[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Saint [@TheDeFISaint](/creator/twitter/TheDeFISaint) on x 64.1K followers Created: 2025-07-26 17:36:03 UTC For DeFi to truly go loggerheads with TradFi, mirroring their performance is not just enough; certain things need to be put in place. Until Fogo's advent, these things have been put in place, but a true balance hasn't been achieved. These imbalances can be highlighted under: • Discrepancy in Ideal Lab conditions vs Real World usage (in matters of tps) • Consensus mechanism bottlenecks • Transaction size and complexity • Altruistic sacrifice for decentralization The scalability problem can further be intrinsically distilled down to two critical performances: • Throughput efficiency • Latency efficacy These are two critical areas where Blockchain needs to mirror TradFi to achieve real-time performance. And this is @FogoChain's main focus. A simple Novel L1 built on Solana with the key aim to bring a realistic balance between decentralization and performance. With its hinges on Solana, Fogo already enjoys Solana's benefits, such as: => SVM execution layer: meaning smart contracts, transaction processing, and state transitions behave identically to Solana. => Consensus layer: Makes use of TowerBFT, a consensus mechanism that utilises finality and turbine, a block propagation protocol inspired by Bittorrent for fast data dissemination. But these alone aren’t enough to scale Fogo. Here's @FogoChain's approach: Mirroring TradFi real-time performance is no longer an aspiration; it’s a reality and this is what Fogo is building. This is only achievable in a low-latency & higher-throughput environment. In the real world, traditional financial systems attain a throughput of XXXXXXX tps, Visa clocking at XXXXXX tps. Despite Solana being a high-performance VM, its latency mark is yet to surpass the XXXXXX tps benchmark. Solana's design allows for a theoretical maximum throughput of XXXXXX TPS. While the theoretical maximum is quite impressive, the actual real-time TPS can fluctuate. For example, a source mentions a real-time TPS of XXXXX while another notes a peak of XXXXX TPS due to a specific event. Several factors can influence Solana's actual TPS, including block time, transaction size, and network congestion. The fight for latency & throughput. How does Fogo solve this? A single canonical client Unlike the Solana client diversity model, which has a sole limitation, "Slow client bottleneck". Since validators run with different clients, the network speed is constrained by the slowest network. An instance; if XX% validators use ultra-fast firedancer and XX% use slower clients, the network must wait for the slower validators to keep up. That’s a drawback and Fogo has a better alternative. Sacrificing the client diversity model for a single canonical client model Firedancer to keep up. With its speed second to none, finality would occur under XX milliseconds. Trades would be executed at tremendous speed. Geographic Validator Optimization Colocation Colocation is simply data servers located in a single centre. The key reason, speed and max efficiency in data dissemination. In these settings, data is transmitted at the speed of light, and ultra-low latency is possible. This is the TradFi model of handling maximum throughput efficiency and creating a low-latency environment. For instance, if a validator in New York needs to communicate with a validator in Tokyo for every single consensus step, the speed of light makes ultra-low latency impossible due to distance barriers. Distance affects latency. If co-located in the same zone, for example, from New York to London, the distance is quite short and this would enable the speed of light to travel faster. Instead of requiring every validator globally to agree on every single step in real-time, Fogo proposes creating "zones" where validators are physically co-located. Speed will be second to none. @Valiant is already implementing this whilst building on Fogo, with Valiant enjoying a <40 milliseconds per second and being the first to build on Fogo. With this implementation, latency will no longer be a problem for Fogo, but client speed will be another shortcoming. How will Fogo tackle this? Prioritising the economic interest of validators, this would be a discourse for another day. Fogo has much in store with exciting launches: => @valiant First CEX-Grade Design Onchain DEX => @FluxbeamDEX; A DEX & META aggregator => @ambient_finance; Fogo’s Enshrined perp DEX => @PyronFi; not yet live First Asset Productive Layer of Fogo. With its testnet already on, Mainnet is surely a great one to keep an eye on.  XXXXX engagements  **Related Topics** [tps](/topic/tps) [Post Link](https://x.com/TheDeFISaint/status/1949161807437873300)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Saint @TheDeFISaint on x 64.1K followers
Created: 2025-07-26 17:36:03 UTC
For DeFi to truly go loggerheads with TradFi, mirroring their performance is not just enough; certain things need to be put in place. Until Fogo's advent, these things have been put in place, but a true balance hasn't been achieved.
These imbalances can be highlighted under:
• Discrepancy in Ideal Lab conditions vs Real World usage (in matters of tps) • Consensus mechanism bottlenecks • Transaction size and complexity • Altruistic sacrifice for decentralization
The scalability problem can further be intrinsically distilled down to two critical performances:
• Throughput efficiency • Latency efficacy
These are two critical areas where Blockchain needs to mirror TradFi to achieve real-time performance.
And this is @FogoChain's main focus.
A simple Novel L1 built on Solana with the key aim to bring a realistic balance between decentralization and performance.
With its hinges on Solana, Fogo already enjoys Solana's benefits, such as:
=> SVM execution layer: meaning smart contracts, transaction processing, and state transitions behave identically to Solana.
=> Consensus layer: Makes use of TowerBFT, a consensus mechanism that utilises finality and turbine, a block propagation protocol inspired by Bittorrent for fast data dissemination.
But these alone aren’t enough to scale Fogo.
Here's @FogoChain's approach:
Mirroring TradFi real-time performance is no longer an aspiration; it’s a reality and this is what Fogo is building. This is only achievable in a low-latency & higher-throughput environment.
In the real world, traditional financial systems attain a throughput of XXXXXXX tps, Visa clocking at XXXXXX tps. Despite Solana being a high-performance VM, its latency mark is yet to surpass the XXXXXX tps benchmark. Solana's design allows for a theoretical maximum throughput of XXXXXX TPS. While the theoretical maximum is quite impressive, the actual real-time TPS can fluctuate.
For example, a source mentions a real-time TPS of XXXXX while another notes a peak of XXXXX TPS due to a specific event.
Several factors can influence Solana's actual TPS, including block time, transaction size, and network congestion.
The fight for latency & throughput. How does Fogo solve this?
A single canonical client
Unlike the Solana client diversity model, which has a sole limitation, "Slow client bottleneck". Since validators run with different clients, the network speed is constrained by the slowest network. An instance; if XX% validators use ultra-fast firedancer and XX% use slower clients, the network must wait for the slower validators to keep up.
That’s a drawback and Fogo has a better alternative.
Sacrificing the client diversity model for a single canonical client model Firedancer to keep up. With its speed second to none, finality would occur under XX milliseconds. Trades would be executed at tremendous speed.
Geographic Validator Optimization Colocation
Colocation is simply data servers located in a single centre. The key reason, speed and max efficiency in data dissemination.
In these settings, data is transmitted at the speed of light, and ultra-low latency is possible.
This is the TradFi model of handling maximum throughput efficiency and creating a low-latency environment. For instance, if a validator in New York needs to communicate with a validator in Tokyo for every single consensus step, the speed of light makes ultra-low latency impossible due to distance barriers. Distance affects latency.
If co-located in the same zone, for example, from New York to London, the distance is quite short and this would enable the speed of light to travel faster.
Instead of requiring every validator globally to agree on every single step in real-time, Fogo proposes creating "zones" where validators are physically co-located. Speed will be second to none. @Valiant is already implementing this whilst building on Fogo, with Valiant enjoying a <40 milliseconds per second and being the first to build on Fogo.
With this implementation, latency will no longer be a problem for Fogo, but client speed will be another shortcoming. How will Fogo tackle this? Prioritising the economic interest of validators, this would be a discourse for another day.
Fogo has much in store with exciting launches:
=> @valiant First CEX-Grade Design Onchain DEX => @FluxbeamDEX; A DEX & META aggregator => @ambient_finance; Fogo’s Enshrined perp DEX => @PyronFi; not yet live First Asset Productive Layer of Fogo.
With its testnet already on, Mainnet is surely a great one to keep an eye on.
XXXXX engagements
Related Topics tps
/post/tweet::1949161807437873300