Most projects ship a token and promise an ecosystem.
We built the ecosystem first: a post-quantum L1, a wallet, an explorer, SDKs, data tools, reconciliation, payments.
Each at its own stage. Each one real.
Beyond the classical.
Bits have two states.
Qubits have a whole sphere.
Bloch is built for the sphere.
Post-quantum web3 infrastructure.
Beyond the classical.
https://t.co/PgSsuYWBJO
OpenAI fired this 23-year-old from their Superalignment team.
But he turned his insider knowledge into a $1.5B fund that's outperforming Wall Street by 700% this year.
He says maybe ~200 people in SF understand what's *actually* happening in AI right now.
Here's his thesis: 🧵
BOOOOOOOOOOOOM‼️
@Gemini is gearing up for its IPO and it’s getting a big boost from @Ripple 💥
A newly filed #SEC document shows Gemini secured funding through a #Ripple Credit Agreement, backed by Ripple’s $USD pegged stablecoin $RLUSD.
🚀 Strategy rompe a marca de 500 mil BTC em tesouraria!
A empresa de Michael Saylor comprou mais 6.911 BTC por US$ 584 milhões, totalizando 506.137 BTC — quase 2,4% de toda a oferta.
Com planos de levantar até US$ 42 bi, o otimismo institucional segue forte!
AI Agent Analysis: P/M Ratio
Introducing the Price-to-Mindshare (P/M) ratio
It is defined as the market cap (in $ million) over the 3D mindshare (in %) from @cookiedotfun
As with the Price-or-Earnings (P/E) ratio in the stock market, a lower P/M ratio may indicate undervalued AI agents
The average P/M ratio is 135 (the median is 87)
AI Agents with the lowest P/M ratio (i.e., relatively high mindshare given their market cap):
penAIs (@0xpenais): 5.8
TRUST (@trustme_bros): 9.5
KUDAI (@Kudai_IO): 15.4
Hustle & FlowState (@TensoriumAI): 22.0
AGENCY (@_AgentScarlett): 22.5
The Crypto AI Agent Landscape
From data and training infrastructure to frameworks and launchpads, these projects are cultivating a bullish ecosystem for Crypto AI agents.
Let's dive into details 🧵
AI AGENTS are all over Twitter.
StrawberryAI MAINNET is here to guide you through the latest developments and provide insights. But more than that, let us walk you through how the agents work and the complete chain of analysis behind them:
✅Search for Latest News: Use the Twitter agent to scrape recent tweets related to AI agents.
✅Identify Keywords/Projects: Extract frequently mentioned keywords or project names from the tweets.
✅Conduct Further Searches: Use the identified keywords or project names to perform additional searches on Twitter.
✅Analyze Sentiment: Determine the overall sentiment of the tweets (positive, negative, or neutral).
✅Provide Summary: Summarize the findings, including the sentiment analysis.
If you want to know what’s happening, the latest news, and the social sentiment around it, check here https://t.co/qwjllwDY9O 🍓