gm Intuits. Turn your signals into simulated $TRUST.
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Your Signals
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Simulated Allocation
0 $TRUST
Toy model. Not an official distribution.
Factor Breakdown
Base
1000.0Claims
0.0Attestations
0.0Reputation
0.0Stake
0.0Referrals
0.0Impact Analysis
Claims+0.0
Attestations+0.0
Reputation+0.0
Stake+0.0
Referrals+0.0
Transparent Math
| Factor | Input | Formula | Impact |
|---|---|---|---|
| Base | - | 1,000 | +1000 |
| Claims | 0 | 6 × 0^0.70 | +0.0 |
| Attestations | 0 | 3 × 0^0.60 | +0.0 |
| Reputation | 0 | 10 × 0^1.10 | +0.0 |
| Stake | 0 | 2 × √0 | +0.0 |
| Referrals | 0 | 15 × 0 | +0.0 |
Multipliers Applied:
Time Bonus×1.000
Early Bonus×1.000
Verified Bonus×1.000
Sybil Penalty×1.000
Final Allocation0 $TRUST
Speculative Math
base = 1,000
score = 6×claims^0.70
+ 3×attestations^0.60
+ 10×reputation^1.10
+ 2×√(stake)
+ 15×referrals
timeMul = 1 + min(0.30, ln(1 + daysActive)/8)
earlyMul = early ? 1.15 : 1.00
verified = verified ? 1.08 : 1.00
sybilPen = 1 / (1 + 0.07 × sybilRisk)
allocation = round((base + score) × timeMul × earlyMul × verified × sybilPen)
Important Assumptions
- • This simulator is fictional and for exploration only.
- • Numbers are illustrative; not guidance or promises.
- • We show every step so you can critique the math.