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- Lovable Aims for $1B ARR—Just 2 Years After Launch
Lovable Aims for $1B ARR—Just 2 Years After Launch
AND: Quantum Compression Yields Big AI Power in Tiny Packages

✨TodayOnAI’s Daily Drop
Lovable Aims for $1B ARR—Just 2 Years After Launch
Quantum Compression Yields Big AI Power in Tiny Packages
Google Launches AI-Powered Flight Deals Tool Amid Antitrust Scrutiny
💬 Let’s Fix This Prompt
🧰 Today’s AI Toolbox Pick
📌 The TodayOnAI Brief |
Lovable

🚀 TodayOnAI Insight: AI coding startup Lovable is projecting a leap to $1 billion in annual recurring revenue (ARR) within the next year—a staggering goal for a company founded just two years ago. CEO Anton Osika revealed the target during a Bloomberg TV interview, underscoring the firm’s explosive growth trajectory.
🔍 Key Takeaways:
Lovable is adding at least $8M in ARR monthly, according to CEO Anton Osika.
The company jumped from $1M to $100M ARR in just 8 months.
It expects to hit $250M ARR by year-end and reach $1B within 12 months.
Founded in 2023, Lovable raised a $200M Series A at a $1.8B valuation.
The company is based in Europe and positioned as one of its fastest-growing AI startups.
💡 Why This Stands Out: Lovable’s growth rate is almost unprecedented, even in the fast-moving AI sector. Reaching $1 billion in ARR within two years of founding would place it among the fastest-scaling software companies ever. Its rise signals growing investor confidence in AI-native developer tools—and raises the question: how many more “AI unicorns” will emerge from outside Silicon Valley?
Quantum AI

🚀 TodayOnAI Insight: Spain-based Multiverse Computing has unveiled two ultra-compact AI models—SuperFly and ChickBrain—designed to bring chat and reasoning capabilities to IoT devices and run entirely on local hardware. Built using its quantum-inspired CompactifAI tech, these models push the limits of on-device AI without sacrificing performance.
🔍 Key Takeaways:
SuperFly (94M parameters) is a compressed version of Hugging Face’s SmolLM2-135, optimized for embedded voice interfaces in appliances.
ChickBrain (3.2B parameters) is based on Meta’s Llama 3.1 8B and delivers slight performance gains on key benchmarks like MMLU-Pro and GSM8K—all while running offline on devices like a MacBook.
Both models are part of the company’s new “Model Zoo,” humorously named after animal brain sizes.
The compression is powered by CompactifAI, a proprietary, physics-inspired algorithm that shrinks models without degrading output quality.
Multiverse is already in talks with major OEMs like Apple, Samsung, Sony, and HP, and offers APIs for developer access via AWS.
💡 Why This Stands Out: Multiverse’s work exemplifies a growing shift in AI: making powerful models practical for real-world, low-power environments. As edge computing becomes central to AI deployment, innovations like ChickBrain challenge the notion that scale must come with size. Could the next AI leap be measured not in billions of parameters—but in kilobytes?

🚀 TodayOnAI Insight: Google is launching an AI-powered search feature, Flight Deals, to help travelers find cheaper fares using natural language—just as regulators intensify scrutiny over its dominance in travel search.
🔍 Key Takeaways:
Flight Deals leverages a custom version of Gemini 2.5 to parse queries like “week-long trip this winter to a city with great food.”
The tool ranks results by percentage savings, then by lowest price if savings are equal.
Pricing data is pulled from real-time feeds with airlines and travel partners; ranking fluctuates with pricing changes.
Launching in beta across the U.S., Canada, and India over the next week, with Google seeking feedback before a wider rollout.
Comes as EU regulators investigate Google under the Digital Markets Act for potentially favoring its own products, including Google Flights.
💡 Why This Stands Out: Google’s new AI-driven travel feature reflects a larger push to embed generative AI into vertical search experiences. While it arrives after competitors like Expedia and Booking.com launched similar tools, Google’s scale could still shift the market—if users adopt it. But can it balance innovation with growing antitrust pressure in an already consolidated travel ecosystem?
💬 Let’s Fix This Prompt |
✨ See how a simple prompt upgrade can unlock better AI output.
🔹 The Original Prompt
"Generate blog ideas for a tech company."
At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.
✅ The Improved Prompt
Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.
💡 Why It's Better
Specific audience: Targets decision-makers in mid-sized companies.
Contextual focus: Emphasizes emerging tech and practical solutions.
Actionable output: Requests summaries and titles to spark execution.
Tone and style: Guides the type of content (insightful, engaging, relevant).
🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown
💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)
🧠 Smart Picks |
📰 More from the AI World
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🧰 Today’s AI Toolbox Pick
🔊Audyo (Audio Tool): Creates audio through writing in Google Docs.
📑PDFConvo (PDFs Tool): Allows you to interact with PDFs by generating summaries and answering clarifying questions.
👾Codium (Coding Tool): Generates code suggestions, monitors code behavior, and offers meaningful tests for busy devs.