Focus: Timed Feature Launch, Frontend Responsiveness & Data Infrastructure Stability

This iteration introduces a new experimental trading mechanic—Timed Feature —designed to add a more dynamic and playful dimension to trading behavior.

Alongside this feature, the team focused heavily on frontend performance, backend stability, and data infrastructure consistency, addressing several long-standing issues while laying groundwork for upcoming UI and market data upgrades.

Overview
Timed Feature is a new time-constrained trading mechanic that introduces urgency and variation into the trading experience. Unlike traditional contracts, it emphasizes short decision windows and faster feedback loops, making it both engaging and experimental.

This feature is intended as a lightweight gameplay-style addition rather than a fully-fledged derivatives system.

• Improved accuracy in token search scenarios

• Reduced ambiguous or irrelevant results when querying tokens with similar symbols or names

• Optimized frontend loading paths

• Reduced initial render time and improved perceived responsiveness

• Identified and resolved potential memory leak issues in frontend services

• Improved long-running session stability

• Ongoing work to adapt web layouts for mobile devices

• Focus on layout responsiveness and interaction usability

• Improved stability of data delivery for search-related requests

• Reduced transient failures and inconsistent responses under load

• Reduced reliance on a single Solana node provider

• Improved system resilience against node-level instability

• Removed local token metadata caching

• Eliminated cross-instance inconsistencies in token information queries

• Added passive backfill mechanisms for creation timestamps on older pairs

• Improved historical accuracy without requiring full reindexing

• Ongoing adjustments for the new version of K-line data

• Aligning aggregation and storage logic with updated data requirements

• Completed node upgrades to support the BSC Fermi hard fork

• Ensured service compatibility and uninterrupted operation

• Refined service deployment strategies

• Improved overall system stability and fault tolerance

This update balanced experimentation with maintenance.

While Timed Feature explores new interaction patterns, most of the effort this cycle went into making the system more predictable, consistent, and resilient—especially across instances and under changing infrastructure conditions.

Several items remain in progress, but the foundations laid here should make upcoming iterations smoother and less error-prone.

Focus: Timed Feature Launch, Frontend Responsiveness & Data Infrastructure Stability

This iteration introduces a new experimental trading mechanic—Timed Feature —designed to add a more dynamic and playful dimension to trading behavior.

Alongside this feature, the team focused heavily on frontend performance, backend stability, and data infrastructure consistency, addressing several long-standing issues while laying groundwork for upcoming UI and market data upgrades.

Overview
Timed Feature is a new time-constrained trading mechanic that introduces urgency and variation into the trading experience. Unlike traditional contracts, it emphasizes short decision windows and faster feedback loops, making it both engaging and experimental.

This feature is intended as a lightweight gameplay-style addition rather than a fully-fledged derivatives system.

• Improved accuracy in token search scenarios

• Reduced ambiguous or irrelevant results when querying tokens with similar symbols or names

• Optimized frontend loading paths

• Reduced initial render time and improved perceived responsiveness

• Identified and resolved potential memory leak issues in frontend services

• Improved long-running session stability

• Ongoing work to adapt web layouts for mobile devices

• Focus on layout responsiveness and interaction usability

• Improved stability of data delivery for search-related requests

• Reduced transient failures and inconsistent responses under load

• Reduced reliance on a single Solana node provider

• Improved system resilience against node-level instability

• Removed local token metadata caching

• Eliminated cross-instance inconsistencies in token information queries

• Added passive backfill mechanisms for creation timestamps on older pairs

• Improved historical accuracy without requiring full reindexing

• Ongoing adjustments for the new version of K-line data

• Aligning aggregation and storage logic with updated data requirements

• Completed node upgrades to support the BSC Fermi hard fork

• Ensured service compatibility and uninterrupted operation

• Refined service deployment strategies

• Improved overall system stability and fault tolerance

This update balanced experimentation with maintenance.

While Timed Feature explores new interaction patterns, most of the effort this cycle went into making the system more predictable, consistent, and resilient—especially across instances and under changing infrastructure conditions.

Several items remain in progress, but the foundations laid here should make upcoming iterations smoother and less error-prone.