Core Features of LaunchFun
LaunchFun is designed as a lifecycle-native launchpad, where each feature addresses a specific structural failure in existing token launch systems. Rather than optimizing for speed, speculation, or throughput, LaunchFun introduces mechanisms that emphasize fairness, accountability, adaptation, and long-term coordination.
Each feature operates independently, yet composes into a coherent system governing how tokens are created, distributed, evolve, and—if necessary—transform.
1. Delayed Reality Launch (DRL)
Purpose
To eliminate speed-based exploitation and bot dominance during token launches.
Description
Delayed Reality Launch decouples token creation from tradability. Upon deployment, a token exists on-chain but is not immediately tradable. A randomized delay window—typically ranging from several minutes—is enforced before trading is enabled.
During this delay:
No liquidity pool is accessible
No price exists
No buy or sell execution is possible
Impact
Because there is no actionable market during the delay, automated sniping strategies lose effectiveness. Participants are forced to evaluate the launch without price signals, shifting early attention from reflexive trading to informational assessment.
2. Intent Pooling and Conviction-Based Allocation
Purpose
To replace transaction speed with expressed belief as the primary allocation determinant.
Description
Instead of placing buy orders, participants submit intent declarations. These declarations may include:
Conviction strength
Willingness to accept lockups
Tolerance for execution variance
Time preference signals
When trading activates, the protocol aggregates all intents and allocates tokens proportionally based on conviction-weighted formulas rather than order of arrival.
Impact
This mechanism neutralizes MEV advantages and encourages participants to signal genuine alignment rather than compete for execution priority.
3. Multi-Phase Bonding Curve (MPBC)
Purpose
To ensure that token price dynamics evolve with the maturity of the community.
Description
LaunchFun replaces static bonding curves with a phased curve controller that adapts based on on-chain metrics. Typical phases include:
Early-stage protection with flat or anti-whale pricing
Growth-stage acceleration as participation broadens
Stabilization through dampened volatility
Contraction through liquidity compression during low activity
Curve transitions are automated and based on measurable conditions such as holder count, volume persistence, and distribution symmetry.
Impact
Early participants are protected, late participants are not penalized unfairly, and extreme volatility is reduced as tokens mature.
4. Creator Reputation DNA
Purpose
To introduce long-term accountability without identity verification.
Description
Each creator address accumulates a persistent reputation profile, referred to as Launch DNA, which records:
Survival duration of previous launches
Holder retention metrics
Historical sell behavior
Community feedback signals
This reputation directly influences the conditions under which future tokens can be launched by the same creator.
Impact
Creators are incentivized to act in alignment with their communities, as exploitative behavior increases friction in future launches.
5. Semantic Anti-Copy Protection
Purpose
To reduce confusion-based scams and brand impersonation.
Description
Before a token is launched, its metadata (name, description, narrative framing) is analyzed using semantic similarity techniques. The system detects overlap with existing tokens beyond simple ticker matching.
Tokens deemed highly similar may face:
Reduced launch speed
Increased friction in curve parameters
Visibility warnings for participants
Impact
This discourages low-effort copycat launches while preserving permissionless access to token creation.
6. Consensus Unlock Framework
Purpose
To ensure that advanced token capabilities emerge only through collective agreement.
Description
Tokens initially launch with minimal functionality. Advanced features—such as staking, governance, minting extensions, or revenue hooks—are gated behind consensus thresholds measured by:
Holder participation
Time-weighted voting
Distribution balance
Impact
Utility is not promised upfront. Instead, it emerges as a consequence of sustained coordination and belief.
7. Soft-Death and Stasis Mode
Purpose
To reduce waste and allow failed experiments to transform rather than vanish.
Description
When activity falls below protocol-defined thresholds, tokens may enter Stasis Mode:
Trading is paused
Liquidity is preserved
No forced liquidation occurs
Communities can later choose to revive, merge, or restructure the token under new parameters.
Impact
This mechanism preserves social capital and enables iterative experimentation without permanent loss.
8. Revival and Merge Mechanics
Purpose
To create a token afterlife economy.
Description
Tokens in stasis can undergo:
Relaunches with adjusted curves
Merges with other stasis tokens
Supply burns with value redistribution
These actions require community coordination and consensus.
Impact
Failure becomes a transition state, encouraging experimentation without total reset.
9. Narrative-Driven Launch Templates
Purpose
To align economic mechanics with contextual intent.
Description
Creators select narrative templates—such as meme, utility, DAO, or experimental—that parameterize:
Curve steepness
Lock expectations
Emission behavior
Consensus thresholds
Impact
Launch mechanics adapt to intent, avoiding one-size-fits-all economics.
10. Optional AI Decision-Support Layer
Purpose
To provide analytical context without predictive authority.
Description
An optional AI layer analyzes behavioral and social signals, offering:
Bot participation likelihood
Distribution evolution projections
Narrative decay indicators
Engagement entropy metrics
The AI does not execute trades, predict prices, or provide advice.
Impact
Participants gain situational awareness without surrendering agency.
11. Lifecycle-Native Architecture
Purpose
To unify all features under a coherent evolutionary model.
Description
Every LaunchFun token progresses through identifiable lifecycle stages, governed by shared metrics and transition rules. These stages determine:
Economic parameters
Feature availability
Recovery or evolution paths
Impact
Tokens are no longer isolated events but ongoing processes with memory and structure.
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