SmartHackly is the premier destination for developers, founders, and tech enthusiasts navigating the artificial intelligence explosion. We bridge the gap between complex research and practical application.
Our Mission: Signal Over Noise
The AI landscape changes by the hour. For developers and businesses, this creates noise. At SmartHackly, our mission is simple: Deconstruct the hype and deliver actionable insights.
We don’t just report the AI news; we analyze the technology. Whether it’s tracking the path to AGI, comparing Open Source models, or evaluating the latest AI Applications, our content is designed to help you build faster and smarter.
What We Cover
Our editorial focus spans the entire AI ecosystem:
- AI News: Breaking updates on OpenAI, Google, Anthropic, and industry shifts.
- AGI: Deep dives into frontier research and the quest for Artificial General Intelligence.
- Open Source: The best models (Llama, Mistral, DeepSeek), repositories, and frameworks.
- AI Applications: Real-world software, use cases, and tools for end-users.
- Startups: Emerging companies, funding rounds, and founder stories.
- Enterprise: AI adoption in big business, governance, and ROI.
- Robotics: Embodied AI, humanoid robots, and hardware innovation.
- Resources: Cheat sheets, whitepapers, and essential guides for developers.
Meet the Editor
Aymen Dev
Founder & Lead Developer
Aymen is a software engineer and tech analyst passionate about the intersection of code and artificial intelligence. With a focus on practical implementation, Aymen ensures every insight on this site is grounded in technical reality.
“I built SmartHackly to be the resource I wished I had a place where code meets context.”
Editorial Guidelines & Transparency
To maintain trust with our audience (and Google), we adhere to strict editorial standards:
- Human Verification: While we cover AI, our content is curated, fact-checked, and edited by humans. We do not publish raw AI-generated slop.
- Sourcing: We link directly to primary sources—research papers (Arxiv), GitHub repositories, and official documentation.
- Affiliate Disclosure: SmartHackly is reader-supported. If we use an affiliate link for a paid tool, it is clearly disclosed. We do not accept payment for favorable reviews.