Helium
The largest DePIN telecom network. Community-deployed wireless coverage.
Overview
| Metric | Value | Source |
|---|---|---|
| Mobile subscribers | 450,000 | Sep 2025 |
| YoY growth | 300% | Sep 2024 → Sep 2025 |
| IoT hotspots | 335,000+ | Global |
| Mobile hotspots | 24,800+ | US-focused |
| Countries | 190 | Network presence |
The Thesis
Helium proves the DePIN telecom model works:
- Community deploys — Individual operators buy hotspots
- Protocol verifies — Proof of Coverage validates signal
- Users consume — Data credits burned for usage
- Operators earn — HNT rewards distributed
- Loop compounds — More coverage → more users → more rewards → more coverage
Tokenomics
Dual Token Model
| Token | Function | Mechanism |
|---|---|---|
| HNT | Governance + rewards | Earned by operators, burned for DC |
| Data Credits (DC) | Network usage | Fixed price ($0.00001/DC), burned on use |
The burn mechanism: Users buy Data Credits → DC burned for data transfer → HNT rewards operators. Deflationary pressure + operator incentives.
Current Economics (2025)
| Metric | Value |
|---|---|
| Daily HNT issuance | ~41,000 HNT |
| Circulating supply | ~180M HNT |
| Annualized issuance | ~8.3% |
| Daily burn rate | ~6.5% of issuance |
| Avg reward/hotspot | ~0.65 HNT/day |
Token Flow
Users purchase Data Credits (stable $0.00001)
↓
Data Credits burned for network usage
↓
HNT minted as operator rewards
↓
Operators sell/stake HNT
↓
Stakers govern protocol (veHNT)
Network Architecture
IoT Network (LoRaWAN)
- Use case: Low-power, long-range IoT devices
- Coverage: 335K+ hotspots globally
- Challenge: Supply > demand (coverage built, usage lagging)
Mobile Network (5G/LTE)
- Use case: Mobile phone connectivity
- Coverage: 24.8K+ hotspots, US-focused
- Model: Offload from carriers (AT&T partnership)
- Growth: 300% YoY subscriber growth
Proof of Coverage
How the network verifies legitimate coverage:
| Step | Action | Verification |
|---|---|---|
| Challenge | Random hotspot selected | Blockchain randomness |
| Beacon | Hotspot broadcasts RF signal | Radio transmission |
| Witness | Nearby hotspots verify beacon | Independent attestation |
| Reward | Tokens distributed | Smart contract execution |
Gaming risk: Fake coverage attempts persist. Protocol continuously adapts verification.
Competitive Position
Strengths
- First mover — Largest DePIN telecom network
- Proven model — Dual token economics work
- Carrier partnership — AT&T WiFi offload deal (2025)
- Community — 335K+ active operators
Weaknesses
- Token sustainability — Issuance > burn (net inflationary)
- IoT demand — Coverage supply exceeds demand
- US concentration — Mobile network mostly US
- Gaming — Proof of Coverage still gameable
Opportunities
- Global mobile — Expand mobile beyond US
- Enterprise — B2B connectivity services
- Roaming — Inter-protocol connectivity
Threats
- Competition — Double Zero, Proof Wireless, Dawn
- Regulation — Spectrum policy changes
- Token price — Operator economics dependent on HNT value
Operator Economics
Hotspot Investment
| Item | Cost |
|---|---|
| Hardware | $300-800 |
| Installation | $0-200 |
| Monthly electricity | ~$5 |
| Monthly internet | ~$50 |
Returns (Variable)
| Factor | Impact on Rewards |
|---|---|
| Location (coverage gap) | Higher rewards in underserved areas |
| Witnesses nearby | More witnesses = more validation |
| Antenna quality | Better signal = more coverage |
| HNT price | Direct impact on USD returns |
ROI range: Months to years depending on location and token price.
Strategic Assessment
For Operators
| Decision | Consideration |
|---|---|
| Deploy? | Yes if: coverage gap, long-term horizon, token belief |
| Location? | Rural/suburban edges, not urban oversupply |
| Hardware? | Quality antenna > cheap hotspot |
For Investors
| Thesis | Bull | Bear |
|---|---|---|
| Token | Burn accelerates with mobile growth | Issuance > burn persists |
| Network | First-mover compounds | Competition fragments |
| Timing | Mobile inflection now | Too early, execution risk |
NZ Opportunity
| Segment | Viability | Consideration |
|---|---|---|
| IoT | High | Rural coverage gaps, agriculture use cases |
| Mobile | Medium | Spectrum licensing, carrier partnerships needed |
| Fixed wireless | High | Rural broadband gaps |
Resources
Context
- DePIN Investment Thesis — Evaluation framework and scorecard
- Double Zero — Enterprise alternative
- DePIN — Physical infrastructure patterns
Questions
What is the most important question this topic raises that current discourse tends to avoid or understate?
- Which assumption in the standard framing of this topic is most likely to be wrong in a 5-year horizon?
- How does the DePIN or agent-native lens change what matters most about this topic?
- Which first principle, if violated, would make the analysis of this topic fundamentally incorrect?