Launchpad Database
What the Database Contains
The Repute launchpad database is a continuously updated intelligence repository covering active and historical launchpads across TON, Solana, and EVM ecosystems.
For each launchpad, Repute evaluates and scores six structural dimensions:
Evaluation Dimensions
1. Network
Which blockchain the launchpad operates on.
- Determines the ecosystem baseline for SIS and TRI comparisons
- Affects post-TGE behavior patterns (TON projects retain community better on average; Solana projects show higher velocity but faster decay)
2. Allocation Model
How allocations are distributed:
| Model | Description | Structural Impact |
|---|---|---|
| Lottery | Random from eligible pool | Low commitment signal |
| Staking | Proportional to staked native token | Moderate — creates financial stake |
| REP-weighted | Based on protocol reputation score | High — filters for structural credibility |
| First-come-first-served | Speed-based | Lowest quality — attracts bots |
| DAO governance | Governance vote | Variable |
3. Telegram Integrity Score
The aggregated SIS of the launchpad’s own Telegram community and the communities of projects it has launched.
This is the single most predictive dimension for post-TGE performance. Launchpads with consistently high Telegram Integrity Scores across their portfolio demonstrate a selection effect: they attract or select structurally sound projects.
4. Historical Post-TGE Retention
Percentage of Telegram community members retained 30 days, 60 days, and 90 days after TGE across historical launches.
| Retention at 30 days | Interpretation |
|---|---|
| > 70% | Strong gravity. Community is thesis-bound, not event-bound. |
| 40–70% | Moderate. Typical for mid-quality launches. |
| < 40% | Allocation hunter–dominated. Structural gravity is weak. |
5. Average Decay Rate
The average rate at which project AVI scores decline in the 60-day window post-TGE.
Low decay rate = structural communities. High decay rate = event-driven communities.
6. Bot Risk
Historical TRI scores for launchpad-associated projects. Launchpads that consistently list projects with high TRI have lower database scores.
High bot risk in a launchpad’s portfolio indicates poor project vetting, which reduces the structural integrity of the allocation process.
7. Structural Depth
A composite assessment of:
- Average creator overlap across listed projects
- NSM scores for narratives associated with portfolio projects
- Governance quality of the launchpad itself
The launchpad database is updated continuously as new projects launch and post-TGE data accumulates. Historical performance data improves in confidence as observation windows lengthen.
Using the Database
The database is accessible at Structural Analyst tier (REP_effective ≥ 300) and above.
Use it to:
- Compare launchpad quality before committing allocation capital
- Identify which ecosystems have the strongest structural track records
- Filter by allocation model to find launchpads that reward structural credibility
- Avoid launchpads with consistently high post-TGE decay and low integrity scores