🏦Staking
We’re at ~125k connections live and adding more every day. As the network grows, each hotspot owner's reward gets diluted. To give owners exposure to network growth, we’re introducing a staking mechanism that turns idle unclaimed owner‑share into sustainable staking rewards.
How it works
Collect idle owner‑share from unclaimed hotspots (the 60% that would normally go to an owner)
Route 30% as staking incentive (remaining 70% funds community growth).
Distribute pool rewards pro‑rata to stakers , bigger stake = bigger rewards.
With zero net new emissions, this creates sustainable rewards that flow back to long‑term supporters.
Staking Reward Flow Diagram
This diagram explains how DBT flows from hotspot emissions into staking rewards.
+----------------------+
| Active Hotspots |
+----------+-----------+
|
v
+----------------------------------------+
| DBT emitted per hotspot per day (E_t) |
+-------------+--------------------------+
|
+-----------+------------+
| |
v v
+--------------------------+ +------------------------------+
|Claimed & Active Hotspots | | Unclaimed & Active Hotspots |
| | | |
| Rewards distributed | | Owner Share (60%) |
| as per UBI model | | Redirected to Incentive Pool |
+--------------------------+ +-----------+------------------+
|
v
+------------------------+
| Network Incentive |
+-----------+------------+
|
+-------------------------+----------------------+
| |
v v
+----------------------+ +---------------------+
| Staking Incentives | | Growth Incentives |
| (30%) | | (70%) |
+-----------+----------+ +----------+----------+
| |
v v
+------------------------+ +----------------------+
| Reward DBT staking | | Hotspot Sales |
| (weight based) | | Marketing |
+------------------------+ | Hackathons |
| Network expansion |
+----------------------+Staking rewards are funded by network expansion rather than arbitrary token inflation.
APY Simulation Model
Because staking rewards depend on both network state and staking demand, APY must be modeled dynamically.
The effective APY can be estimated using the following framework.
Example Scenario
Assume:
Daily emissions for unclaimed locations:
Staking Incentives:
If total weighted stake: 148M
Calculating APY for a user:
Sensitivity Analysis (What Moves APY)
APY increases when:
more hotspots are deployed but not yet claimed
fewer DBT tokens are staked
longer lock durations dominate
APY decreases when:
more DBT tokens enter staking
hotspot inventory gets sold to owners
emission schedule declines
Growth Phase vs Mature Network
This design naturally produces two phases.
Early Network Phase
large unclaimed hotspot inventory
high staking rewards
strong bootstrap incentives
Mature Network Phase
most hotspots claimed
smaller incentive pool
staking yield decreases
This mirrors the natural growth cycle of infrastructure networks.
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