Super Agent Got $10M ARR in Just 9 days
Read time: 5 minutes
Google seems to be working harder than ever, launching a whole “store” of new AI tools and features just ahead of OpenAI’s upcoming o3 and o4-mini releases. Looks like they’re trying to keep their lead in the AI race and hold onto that center stage before OpenAI steals the spotlight – again!
What are on FIRE 🔥
IN PARTNERSHIP WITH FYXER AI
Gain 1 hour back every day with an AI executive assistant: Fyxer AI automates daily email and meeting tasks, saving users up to 60 minutes a day.
FyxerAI:
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Prioritizes important emails, ensuring high-value messages are addressed quickly.
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Automatically drafts email responses in your tone of voice. It’s so accurate that 63% of emails are sent without edits.
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Listens to your video calls and sends a meeting summary with clear next steps.
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Continuously proactively learning from the past and improves to become your personal assistant.
AI INSIGHTS
🤖 Which Students Are Leading in AI Usage?
By analyzing one million anonymized student conversations on Claude, the report uncovers how students from various disciplines use AI and what tasks they hand off to it. But here’s the most interesting part: Claude found something surprising about which students are most likely to engage with AI.
Claude is mostly used by students in technical fields.
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STEM students, especially those in Computer Science, account for 38.6% of the conversations, even though they only represent 5.4% of U.S. degrees.
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Students in Humanities, Business, and Health are still adopting AI at a slower pace, but they are gradually starting to integrate it into their academic work.
Main tasks students use Claude for:
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Content Creation: 39.3% of conversations involve creating and refining academic material, like essays and practice questions.
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Technical Problem-Solving: 33.5% focus on debugging code, solving math problems, and implementing algorithms.
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Data Analysis: 11.0% use Claude for data visualization and analysis.
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Research Support: 6.5% involve using Claude for research design and tool development.
How students interact with AI: Students interact with Claude in four main ways
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Direct Problem Solving: Quick solutions to specific questions or problems.
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Direct Output Creation: Generating longer outputs, such as essays or summaries.
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Collaborative Problem Solving: Engaging in dialogue with AI for in-depth problem resolution.
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Collaborative Output Creation: Working with AI to produce detailed, complex outputs.
Why it matters: AI tools like Claude are quickly becoming a big part of students’ academic lives, especially in STEM fields. While AI can really boost learning by tackling tough tasks, there are concerns about students becoming too dependent on it and missing out on developing important thinking skills. Going forward, schools and educators need to make sure AI is used to support deeper learning, not as a shortcut that stops students from building critical skills.
TODAY IN AI
AI HIGHLIGHTS
👨💻 Google’s Firebase Studio creates full-stack app that’s set to shake up the “Vibe Coding” trend, potentially replacing Cursor AI, Lovable, Bolt, and Replit after this feature launch.
Which AI tool do you think could be replaced by Google’s Firebase Studio? |
🤖 Google’s Agent2Agent (A2A) protocol, complementing Anthropic’s MCP and supported by 50+ tech partners like Salesforce, Deloitte, McKinsey, KPMG,…allows AI agents to work across all platforms.
🗑️ MIT study claims that AI models from Meta, Google, Mistral, OpenAI, and Anthropic are “inconsistent and unstable”. They are “imitators” that “hallucinate” unpredictable responses.
🚀 Anthropic steps up competition with OpenAI, rolls out Claude’s Max with 5x – 20x more usage plus Claude’s Voice Mode in response to the popularity of Claude 3.7 Sonnet.
💡 China’s Origin Wukong – a 72-qubit superconducting quantum chip does successfully world-first fine-tuning of billion parameter AI model despite global competition from the US, Europe, and Canada.
⚔️ OpenAI countersued Elon Musk, alleging harassment and seeking to block further disruptive actions amid an ongoing legal battle over its move to a for-profit model.
✋ Microsoft announced a slowdown or pause in some AI data center projects, including a $1 billion initiative in Ohio.
💰 AI Daily Fundraising: Tessell raised $60M in Series B funding, bringing its total to $94M. The company is revolutionizing cloud data management with AI-powered solutions, enhancing performance, scalability, and flexibility for enterprises.
AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
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💻 DeepCoder-14B – an o1 & o3-mini level coding reasoning model fully open-sourced!
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📸 Vertex AI is expanded with Veo 2’s camera controls features, Instant Custom Voice
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🎥 Iris builds custom video AI agents and acts on insights, all through natural conversation.
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📊 Warrant’s AI marketing compliance agent gives instant, tailored feedback on customer-facing content.
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💼 Wix’s Astro allows to query and perform business and back-office tasks directly.
AI QUICK HITS
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🤖 Genspark Super Agent Reached $10M ARR in just 9 days since its launch.
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🧠 Elon Musk’s AI company, xAI, makes its flagship Grok 3 model available via an API.
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🧸 AI Barbie Box Challenge using GPT 4o Image Generation went viral after Ghibli-style trend.
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🛡️ NVIDIA and Google Cloud secure on-prem solutions with Agentic AI Reasoning.
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🔍 Reddit’s conversational AI search tool competes better with OpenAI & even Google.
AI CHART
As AI models grow more advanced, they need a standard way to work with tools and data. Just like APIs helped software communicate, AI models need something similar. Model Context Protocol (MCP), introduced in November 2024, is quickly becoming the solution to make this happen.
What Can MCP Do?
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Transforms apps: MCP lets you turn your tools into all-in-one apps. For example, Cursor, a code editor, can be customized to work as a Slack client, email sender, or even an image generator by installing different MCP servers.
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Custom workflows: Developers can use multiple MCP servers on one tool. You can create a front-end UI and use an image generation tool at the same time—no switching between apps.
For Developers: No More Switching Between Tools
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MCP allows developers to stay within their IDE without needing to open new tools.
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You can run SQL commands using the Postgres MCP server or use Browsertools MCP to debug code with real-time access to the environment.
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Create MCP servers from API docs, making integrations quicker and easier. This saves time and lets you focus on actual coding, not setup.
For Non-Developers: Easy Access to AI Tools
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MCP isn’t just for developers. Claude Desktop makes it easy for non-technical users to access powerful AI tools.
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Whether it’s customer support, marketing, or image editing, MCP allows general users to get things done without any technical background.
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Blender MCP is a great example. Now, you can create 3D models by just describing them in natural language—no prior 3D knowledge needed.
The Future of MCP
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Multi-tenant support: Right now, MCP allows one AI agent to interact with many tools, but in the future, we’ll see multi-user access to shared servers. This is perfect for businesses that need to host their own servers for more control.
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Better hosting and scalability: As MCP grows, companies will need to host, scale, and manage servers more efficiently. This will help make MCP even more accessible and reliable for both small teams and large enterprises.
In conclusion: MCP is an exciting step forward for AI integration. It’s simplifying workflows, empowering both developers and non-technical users, and opening up new possibilities for how we interact with tools. The future is bright, and MCP is paving the way for more efficient, automated, and integrated AI-powered experiences.
AI CHEAT SHEET
AI JOBS
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The AI Fire Team
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