AI Builders Tracker
AI Builders Tracker
Showcase
Description
Comprehensively track the latest updates from over 25 top builders and 5 top podcasts in the AI field. Automatically search, organize, and generate structured and easy-to-read summaries to help you quickly understand the latest trends, opinions, and actionable insights in AI. Inspired by the follow-builders project.
Related Skills
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ResearchZara Zhang Top Builders Daily
Compiles tweets from the 25 AI Builders followed by Zara Zhang, a prominent Silicon Valley AI Builder, and updates from 5 top podcasts into a daily curated digest. Features key AI figures like Karpathy, Swyx, and Logan Kilpatrick.
ResearchAI Practical Weekly
Automatically scans the X accounts of 65 top AI builders to identify immediately useful tools, workflow improvements, and reusable methods. Designed for AI content creators and enthusiasts who want practical takeaways without the deep technical details.
AI Autonomous Research Engine
AI Autonomous Deep Research Engine, inspired by Karpathy's AutoResearch project. It employs a multi-round autonomous iterative research loop: gather information, analyze and verify, self-assess on five dimensions, identify blind spots, and target improvements, iterating until the report meets standards. Supports scenarios such as market research, competitive analysis, technology selection, industry reports, and academic reviews, automatically adapting to 3-8 rounds of research depth. Outputs a visual HTML report with cited sources, including core findings, comparison matrix, scoring radar chart, and actionable recommendations. Each round outputs a progress summary, making the research process transparent. Suitable for creators, entrepreneurs, and researchers who need in-depth understanding of a domain and data-driven decision-making.
Information
- Version
- v1
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
