These massive gains reflect a broader trend: the intersection of tech, health, and sustainability is where the future—and the money—is heading. 💡
Which of these companies do you find most promising? 👇

#Investing #Nasdaq2024 #GrowthStocks

10. Dogness Corp (DOGZ)
+832% 🐶
A pet tech company that soared thanks to booming demand for smart pet products and viral marketing in Asian e-commerce markets.
#PetTech #Ecommerce

9. Eco Wave Power (WAVE)
+1,001% 🌊
Pioneering wave energy tech, WAVE gained attention after launching a commercial plant and signing agreements in Europe and the Middle East.
#GreenEnergy #CleanTech

2. Bright Minds Biosciences (DRUG)
+2,505% 💊
This biotech firm focuses on psychedelic-based treatments for mental health. Huge investor confidence followed promising clinical trials and potential FDA fast-tracking.
#Biotech #MentalHealth

8️⃣ Red Cat Holdings (RCAT): +1,074%

9️⃣ Eco Wave Power (WAVE): +1,001%

🔟 Dogness Corp (DOGZ): +832%

💡 Innovations in AI, biotech, and clean energy were major drivers behind these impressive gains.

it's fascinating how a tool creating artificial worlds can make us ponder the thin line between reality and fabrication.

OpenAI o3 (OpenAI)
Strengths: Specialized reasoning model optimized for STEM tasks (coding, math, science). Scores 96% on MedQA benchmark for medical questions.

Use Cases: Scientific research, educational tools, complex problem-solving.

Claude 3.7 Sonnet (Anthropic)
Strengths: Hybrid reasoning model with strong coding, writing, and logical reasoning. Features a “scratchpad” mode for transparent thought processes and ethical AI focus.

Use Cases: Programming, research, long-form content creation.

Gemini 2.5 Pro Deep Think (Google DeepMind)
Strengths: Multimodal AI with a 2-million-token context window, excelling in coding, text, image, and video processing. Features advanced reasoning and self-fact-checking.

Use Cases: Deep research, coding functional applications, large document analysis

The future isn't one big brain. It's many small ones, working in sync.

Right now, it’s ideal for rapid prototyping and ideation, especially for creators who want quick visuals without heavy production. Full-scale filmmaking? Not quite there yet.

Veo 3’s progress reflects the industry-wide focus on making generative AI more practical and usable, moving from flashy demos to tools with real workflow integration.

Prompt fidelity noticeably improved in layered descriptions

It’s not production-ready—but it’s no longer a toy either.

There are still hiccups—like occasional texture glitches and inconsistent lighting. But these are technical challenges that will smooth out as training data and architectures improve.

This feels like the beginning of the “native AI web” — where chat isn’t a widget, it’s a first-class citizen of the web itself.

It’s an open protocol. Lightweight. Designed for developers to integrate LLMs with their sites without handing control to third-party apps.