[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] [Hyperlend](/topic/hyperlend) ### Sentiment: XXX%  [Sentiment 24-Hour Time-Series Raw Data](/topic/hyperlend/time-series/sentiment.tsv) **Current Value**: XXX% **Daily Average**: XX% **1 Week**: XXX% +12% **1 Month**: XXX% +14% **6 Months**: XXX% +11% **1 Year**: XXX% no change **1-Year High**: XXX% on 2024-10-30 **1-Year Low**: XX% on 2024-11-10 **Most Supportive Themes** - **USDH Listing and Performance:** (30%) The listing of USDH on HyperLend has led to significant user engagement, with deposits and borrows quickly reaching their caps, indicating strong initial adoption and demand. - **Blockworks Dashboard Launch:** (25%) The launch of a Blockworks dashboard for HyperLend has driven increased mentions and engagement, highlighting the protocol's growing visibility and the value of third-party analytics. - **Point Farming and Yield Opportunities:** (45%) Users are actively engaged in point farming and leveraging HyperLend for attractive APYs on stablecoins and other assets, with strategies like looping and multi-farming being popular. **Most Critical Themes** - **Competition and Utilization Rates:** (100%) While HyperLend shows strong engagement, its utilization rates are noted to be slightly below those of similar protocols like USDT0, USDC, and USDe, suggesting potential areas for optimization. Network engagement breakdown: | Network | Positive | % | Neutral | % | Negative | % | | ------- | -------- | - | ------- | - | -------- | - | | Reddit | X | X% | | | | | | X | XXX | X% | XXX | X% | | | | | | | | | | | | Total | XXX | X% | XXX | X% | X | NaN% |
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Sentiment 24-Hour Time-Series Raw Data
Current Value: XXX%
Daily Average: XX%
1 Week: XXX% +12%
1 Month: XXX% +14%
6 Months: XXX% +11%
1 Year: XXX% no change
1-Year High: XXX% on 2024-10-30
1-Year Low: XX% on 2024-11-10
Most Supportive Themes
Most Critical Themes
Network engagement breakdown:
| Network | Positive | % | Neutral | % | Negative | % |
|---|---|---|---|---|---|---|
| X | X% | |||||
| X | XXX | X% | XXX | X% | ||
| Total | XXX | X% | XXX | X% | X | NaN% |
/topic/hyperlend/sentiment