The tool enhances AI performance by using fresh, trending data from X and Reddit as the initial context for prompts. This primes the AI with highly relevant, optimized information, leading to more dialed-in and superior results compared to generic prompting methods.
When an AI tool automatically gathers rich, timely context from external sources, user prompts can be remarkably short and simple. The tool handles the heavy lifting of providing background information, allowing the user to make direct, concise requests without extensive prompt engineering.
Combine specialized AI tools in sequence. Use one tool (like "Last 30 Days") to research a trending market signal, then feed that context into another (like "Compound Engineering") to generate a business plan and technical architecture, drastically accelerating the ideation-to-development pipeline.
The creator of "Last 30 Days" is not a professional software engineer. He built the tool by using AI (Claude Code, ChatGPT) as his development partner, feeding it errors via screenshots and iterating on its suggestions. This workflow empowers non-technical individuals to create and ship valuable software.
A powerful workflow is using AI to research trending frameworks (e.g., for cold emails) and then immediately asking it to apply that knowledge to a task. This allows you to leverage expert techniques without spending time learning them yourself, akin to the "I know Kung Fu" scene in The Matrix.
"Last 30 Days" shows that accessing high-value, real-time data from platforms like X and Reddit isn't trivial. Users must assemble a personal "stack" of API keys (OpenAI for its Reddit deal, an X API key) to power the tool, highlighting the fragmented nature of data access for AI.