Day 11 — Exploring @MidnightNetwork 🌙
Today, $NIGHT completely changed how I see block rewards.
At first, I expected the usual fixed rewards…
but this model is different — it rewards efficiency, not just participation.
Here’s the core idea 👇
N_v = U \times (N_b - N_f)
💡 Rewards scale with how full the block is.
Full block = max reward
Partial block = less reward (rest goes to treasury)
Then the final payout:
N_a = N_f + N_v
🔑 What stands out:
• Base reward = stability
• Variable reward = performance
• Incentives aligned with network efficiency
It’s not just validating blocks —
it’s optimizing them.
The more I learn, the clearer it gets:
$NIGHT is designed with purpose.
NIGHTUSDT
Perp
0.04986
-4.11%
Still exploring… but this model just makes sense.