Mintlayer PriceML

Study $ZARA @zaara_ai Sub $1 million mc First new innovation in the crypto x AI space that I’ve seen in a long time. Helps founders and developers build apps and agents and enables them to earn based on Remixes (forks of the code/onchain usage.) This should open the floodgates for new entrepreneurs that want to build onchain and AI products in this new Agentic internet and economy. @zaara_ai live-streaming coming soon to @pumpdotfun $ZARA is the best co-founder any founder can ask for and takes your idea from fantasy to reality. @vistaralabs is the infrastructure and @zaara_ai is the interface. Built by 2 great doxxed AI experts and engineers. One co-founder was an Ex ML Engineer at McKinsey and their AI department (One of the biggest consulting firms in the world) The other founder leads growth and Biz Dev. He is currently a senior AI investor at a VC Firm in Australia. Both co-founders know AI better than most people in the crypto x AI space and it’s refreshing to see new innovation finally come to market that we desperately want and need as crypto investors.

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Self-improving ML network focused on predictive intelligence meets global marketplace for targeted datasets and specialized models, trained or fine-tuned on attributable & verifiable data (also allowing users to monetize their data contributions). By integrating @OpenledgerHQ's specialized data and fine-tuned models, builders on @AlloraNetwork will gain access trusted, domain-specific knowledge that enhances both precision and performance. The next wave of agentic innovation will be wild.

We’ve just crossed 9,000 Crunchers! That’s 9,000 of the best and brightest data scientists and ML engineers from across the world working together to solve real problems.

Social media sentiment analysis is a powerful tool for understanding the emotions and opinions of online communities surrounding a particular topic or asset, such as $TANSSI. By analyzing the sentiment of tweets, posts, and comments on social media platforms, we can gain insights into the crowd's perception and sentiment towards $TANSSI. Positive Sentiment The positive sentiment surrounding $TANSSI on social media is driven by several factors, including: 1. Excitement about the project's potential: Many users are excited about the potential of $TANSSI to disrupt traditional industries and create new opportunities. 2. Community engagement: The $TANSSI community is actively engaging with the project, sharing information, and promoting it on social media. 3. Partnership announcements: Announcements of partnerships and collaborations have generated significant buzz and positive sentiment on social media. Negative Sentiment The negative sentiment surrounding $TANSSI on social media is driven by several factors, including: 1. Market volatility: The volatility of the cryptocurrency market has led to concerns about the potential risks and uncertainties associated with $TANSSI. 2. Lack of information: Some users have expressed frustration about the lack of information about $TANSSI, its technology, and its potential applications. 3. Skepticism about the project's viability: Some users have expressed skepticism about the viability of $TANSSI, citing concerns about its potential for success. Sentiment Analysis Tools To analyze the sentiment of $TANSSI on social media, we can use various sentiment analysis tools, including: 1. Natural Language Processing (NLP): NLP techniques can be used to analyze the text of social media posts and determine the sentiment of the language used. 2. Machine Learning (ML): ML algorithms can be trained on labeled datasets to classify the sentiment of social media posts as positive, negative, or neutral. 3. Social Media Monitoring Tools: Social media monitoring tools can be used to track mentions of $TANSSI on social media and analyze the sentiment of those mentions. Conclusion The sentiment analysis of $TANSSI on social media provides valuable insights into the crowd's perception and sentiment towards the project. By analyzing the sentiment of social media posts, we can gain a better understanding of the factors driving positive and negative sentiment and make more informed decisions about the project. Implications for Investment Decisions The sentiment analysis of $TANSSI has implications for investment decisions, as it can help investors understand the potential risks and opportunities associated with the project. By considering the sentiment of social media posts, investors can make more informed decisions about whether to invest in $TANSSI. Future Research Directions Future research directions for sentiment analysis of $TANSSI could include: 1. Longitudinal analysis: Analyzing the sentiment of $TANSSI over time to identify trends and patterns. 2. Comparative analysis: Comparing the sentiment of $TANSSI to other similar projects or assets. 3. Multimodal analysis: Analyzing the sentiment of $TANSSI across multiple social media platforms and formats. By exploring these research directions, we can gain a deeper understanding of the sentiment surrounding $TANSSI and its implications for investment decisions. $TANSSI