From School Dropout to AI Innovator: The Road to $Swarms and the Full Investment Opportunities
$Swarms is run by a 20-year-old founder, who is considered an AI genius - K. Gomes. How did he go from a school dropout to a pioneer in AI agents? How did the project go from obscure to one of the hottest tracks in Web3? The information below will take you on a comprehensive journey to understand the history of $Swarms and its investment potential.
Kye Gomez is a legendary AI developer. Despite dropping out of high school, he spent 3 years developing Swarms - a framework focused on self-cooperative AI agents, and has successfully powered 45 million AI agents, serving several industries:
Technical points: SSM+MoE model and mixed model, to ensure the operating efficiency and task execution ability.
Multidisciplinary Practices: In addition to Swarms, he has been involved in several pioneering projects:
Agora: An open laboratory that combines artificial intelligence, biology and nanotechnology.
Pegasus: Focuses on natural language processing and integration models.
AlphaFold3: An open source tool to support biological research.
Conclusion: K Gomez is not a traditional Web3 entrepreneur, but an AI pioneer with an engineer's spirit and technical prowess, providing strong support for the long-term development of $Swarms.
II. Historical Stage: Three Important Points in the Development of $Swarms
The evolution of $Swarms can be divided into three stages, from the stability period to the market experiment and then the rise period, with each stage corresponding to different business strategies and market behaviors.
Phase 1: Stabilization Period (April 30, 2023 - December 30)
In the early stages, $Swarms was more like a Web2 AI project, and had little to do with crypto.
Timeline:
April 30: $Swarms posts first tweet: “It’s a collective world.”
May 5: Announcement of collaboration with Google Cloud, to demonstrate strength (overhead costs for Google Cloud services run into the hundreds of thousands of dollars).
July 17: Start hiring, start expanding the team.
December 9: Announcement that the number of user subscriptions has exceeded 1000.
Stage characteristics:
The main content of the project revolves around awareness and applications of AI agent technology.
Forms of activities: recruitment, direct educational events, technical presentations.
Impact: Initial recognition buildup in the tech circle, but no direct relevance to the Web3 circle.
Phase 2: Market Test (December 30, 2023 - January 1, 2024)
At this point, $Swarms began the transformation process, building relationships with the crypto community, and trying to heat up the market.
Timeline:
December 20: Official announcement of CA (Contract Title), 160,000 views, sparking controversy.
December 21: Launch of Swarms marketplace and product use cases, emphasizing the technical vision of “Powering Humanity’s Progress.”
December 30: Founder K Gomes began actively promoting real-world use cases for AI agents, catching the attention of the crypto community.
December 31: Issue a thank you letter, presenting the team’s long-term vision:
In 2024, we will achieve full automation of the global economy, and unleash a true post-scarcity civilization.
Stage characteristics:
Technology-to-market transition period: gradual integration into the crypto community.
Enthusiasm Appears: Several Tweets Have Over 100,000 Views.
Team Token Lock Pledge: The founders have pledged to lock the team tokens for a year, to increase confidence in the market.
Phase 3: Rise Period (January 2, 2024 - Present)
At this point, the technical advantages of $Swarms have been combined with market promotion, becoming a hot topic in Web3.
Timeline:
January 2: Launch of the Shareholder Rewards Board, to enhance the enthusiasm of community participation.
January 3: MultiAgentRouter technology released, defining the technical framework for the project.
January 4: Full white paper and roadmap released, page views exceed 100,000.
Stage characteristics:
Integrating Technology with Promotion: Building Trust with a High-Quality White Paper and Roadmap.
Market sentiment is high: Prices and trading volume are rising rapidly, and there is constant talk in the crypto community.
3. Why is $Swarms worth paying attention to?
By combining the project's technology, team background, and market performance, $Swarms demonstrates a unique investment value proposition:
On a technical level: A unique framework for AI agents
Innovative Technology: $Swarms is the first multi-agent framework, filling the technical void in the Web3 context.
Real Application Scenarios: Industries such as finance, insurance, and healthcare can directly benefit from Swarms' agent system.
Team level: Strong founder background
K. Gomez's technical background and entrepreneurial spirit laid a solid foundation for the venture.
The project's transformation from Web2 to Web3 shows the team's ability to adapt to the market.
At market level: payment rhythm in three stages
Precise control of market experience rhythm and uptrend period, team's strong ability to understand market sentiment.
Lock contracts and run the GitHub community in parallel, reflecting long-term planning and transparency in operations.
Fourth. Investment Tips: How to Take Advantage of $Swarms Opportunities?
Short-term strategy: Keep track of technical updates and market dynamics.
Key points on the roadmap: Follow up on upcoming developments for $Swarms and community incentives.
Market Sentiment: Finding the right time to enter based on the characteristics of the uptrend.
Long-Term Strategy: Evaluating Real-Time Use Cases
Project Execution Ability: Evaluation of $Swarms' ongoing performance in AI applications.
Web3 Environment Integration: Seeing if it can find deep application scenarios in DeFi and NFT fields.
Summary: Behind $Swarms is a journey from Web2 to Web3, a young genius’s tech ambition, and an experiment in the integration of AI and Blockchain technology. Understanding its history can help better understand its future.