Alex Wilhelm

Co-Host, This Week in Startups
· tracked since Mar 2026
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TAO long -35.4%
Most Mentioned
TAO ×1
Recent Calls
TAO long 2 months ago
Win Rate 0% Long 1 Short 0
Win Rate
7d 0%
30d 0%
90d
Average Return -35.4% Long Return -35.4% Short Return -
Average Return
7d -5.0%
30d -29.8%
90d
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Long
Mar 26
$352.46
-35.4%
The host Alex explicitly states he is considering taking $10,000 (a "stack") to buy and stake TAO tokens as a "learning experiment," expressing positive sentiment toward the Bittensor ecosystem's growth and diversity. Bittensor's value is tied to network utility and adoption. The showcased subnets (drug discovery, creator economy, vision models) demonstrate diverse, high-potential applications that could drive demand for the network's native intelligence marketplace and its TAO token. Direct statement of capital allocation intent indicates a bullish, long-term exploratory view on the asset, based on the belief that the ecosystem is expanding and creating tangible utility. Bittensor is a nascent protocol; the commercial success of its subnets is unproven, and token value is subject to high volatility, regulatory uncertainty, and competition from centralized AI platforms.
The host Alex explicitly states he is considering taking $10,000 (a "stack") to buy and stake TAO tokens as a "learning experiment," expressing positive sentiment toward the Bittensor ecosystem's growth and diversity. Bittensor's value is tied to network utility and adoption. The showcased subnets (drug discovery, creator economy, vision models) demonstrate diverse, high-potential applications that could drive demand for the network's native intelligence marketplace and its TAO token. Direct statement of capital allocation intent indicates a bullish, long-term exploratory view on the asset, based on the belief that the ecosystem is expanding and creating tangible utility. Bittensor is a nascent protocol; the commercial success of its subnets is unproven, and token value is subject to high volatility, regulatory uncertainty, and competition from centralized AI platforms.
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