Back

SaaS feels dead. Everyone's building: – AI wrappers – Health trackers – Notion clones – Tweet writers No real innovation. Just prettier UIs and faster wrappers. Shipping ≠ solving. We're stuck in the iteration era.

OpenAI’s got 32.4% of US businesses paying up. Anthropic? 8%. Google? A humble 0.1%. Are we witnessing peak innovation or just the start of an AI monopoly?

💀 99% of AI Startups Will Die by 2026 – Here's Why 1. LLM Wrappers ≠ Real Products Most AI startups are just pretty UIs over OpenAI’s API. No real backend. No IP. No moat. They're charging ₹4,000/month for workflows that cost ₹300 if done directly

" Most of the AI tools are just AI wrappers " Under the hood is just : Open AI Chat GPT Claude Gemini Llama Or just any other LLM, What your AI app uses from one of these ?

India's AI Boom: Unveiling the Wrapper and the Real Deal India's AI startup scene is like a bustling marketplace. On the surface, it's brimming with innovation and promise. But beneath the buzz, a crucial question arises: are some companies simply re

Do you think the market is just flooded with Ai wrappers there are only 4-5 startups that have the original technology??

Guys, can you tell me if there are any AI models that still offer free API access, like OpenAI used to in the early days?"

India should focus on fine-tuning existing AI models and building applications rather than investing heavily in foundational models or AI chips, says Groq CEO Jonathan Ross. Is this the right strategy for India to lead in AI innovation? Thoughts?

X updates its developer agreement to ban third parties from using the X API or X Content for training or fine-tuning foundation or frontier AI models.

🦾AI model training comes with significant costs. This chart highlights the estimated expenses for training top AI models like Google’s Gemini 1 and OpenAI’s ChatGPT-4 in 2023. These costs, calculated using both cloud computing and amortized hardware