Impli reveals the exact APEX method professionals use to optimize AI prompts. The article shows the complete system specification—from analyzing requests to executing optimized prompts that work across all platforms.
Web scraping has quietly become the backbone of AI training data. But legal gray areas and sophisticated anti-blocking measures make success tricky. This guide reveals what works in 2025.
Sean Grove from OpenAI says coding is dead. Instead of writing code, developers should write specifications that generate software. AWS just launched Kiro to make this real, while GeneXus claims they've done it for 35 years
Explore N8N's transformation from a simple, free workflow tool to a $270 million business success story.
Meet n8n, the workflow automation rebel that just landed $60 million in funding. Their secret? Letting developers run the show - and teaching AI to speak their language.
This Berlin-based startup cranks out tools that connect different services and automate tasks. Think Zapier, but with a twist: you can run it on your own servers and peek under the hood. Their fair-code model means developers use it free but pay when they profit.
The numbers pack a punch. After adding AI features in 2022, revenue jumped 5X. Now they serve 3,000 enterprise customers and 200,000 active users. That's not bad for a company that lets you dodge subscription fees.
N8n's platform stands out in the automation crowd. Unlike Zapier and Make.com, it hands you the keys to your data kingdom. You host it. You own it. You tweak it. No vendor lock-in, no usage limits, no mysterious black boxes.
Sure, it demands more technical muscle than its commercial cousins. The integration marketplace looks a bit slim compared to Zapier's buffet of options. But for companies who value control over convenience, n8n hits the sweet spot.
When they spotted AI approaching like a freight train of opportunity, CEO Jan Oberhauser didn't just jump on board - he redesigned the engine. Their platform now turns complex coding tasks into casual conversations. Need to send an email? Just tell the AI what you want.
The AI addition didn't spark immediate fireworks. Users showed all the enthusiasm of a sloth on sedatives. Then something clicked. Now 75% of customers use the AI tools, proving that sometimes the best innovation isn't the flashiest - it's the most practical.
Highland Europe led the fresh funding round, with HV Capital and previous investors piling in. The cash will fuel tech improvements and a U.S. expansion, where half their users already live.
Why this matters:
Chinese startup Moonshot AI released Kimi K2, an open-source model that matches GPT-4.1 performance while costing five times less. Silicon Valley's response? OpenAI delayed their planned open-source release hours after K2 launched.
Grammarly bought email app Superhuman for an undisclosed sum, part of its plan to build an AI productivity empire. With $1 billion in fresh funding, the grammar company wants to put AI agents at the center of your workday.
While Congress debates TikTok's future, ByteDance quietly built America's #2 education app. Gauth helps 200 million students cheat on homework by solving problems from photos. Same company, same data concerns, zero scrutiny.
Programming computers in English sounds impossible. But Andrej Karpathy built working apps without knowing code, using only natural language prompts. He calls it Software 3.0. These AI systems think like humans, complete with superhuman memory and distinctly human mistakes.
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