I built CatchNote to solve the "Collector's Fallacy"—our habit of hoarding links we never read. With Pocket shutting down in July 2025, we needed a better way to manage knowledge. CatchNote captures any link in 1 second. Then, our 100% on-device AI automatically summarizes, tags, and organizes it for you. Zero manual filing, zero privacy risks. Stop organizing and start thinking. I'd love to hear your feedback! 👇

Lightfield — AI-native CRM that builds itself and does work for you

AI-native CRM that builds itself and does work for you

Hi everyone! 👋 I’m the solo developer behind CatchNote. The Problem: Like many of you, I suffered from the "Collector's Fallacy" . I was constantly hoarding hundreds of unread links in Pocket and Notion, creating a massive "note graveyard." I realized I was spending more time manually tagging, categorizing, and organizing information than actually digesting it . With Pocket officially shutting down in July 2025, I desperately needed a new solution . The Inspiration: I wanted to fundamentally change how we interact with our knowledge. Why should humans do the tedious administrative work of filing notes? I realized that if we could completely eliminate the friction of capturing and organizing, we could finally cure information overload . The Solution: I built CatchNote with a $0 budget to be the ultimate frictionless "second brain." You can save any link or text in 1 second via the iOS Share Sheet, without even opening the app. From there, our 100% on-device local AI takes over—automatically reading the context, generating a summary, assigning tags, and merging it into the optimal folder . All of this happens securely on your phone with zero cloud privacy risks . Our core philosophy is simple: Stop organizing. Start thinking.

Among the knowledge management tools I have used, it is overwhelmingly better than Notion or Obsidian in terms of ease of use.

@yun_lee3 thanks for your comment

We are adding a feature where AI determines context by capturing information from PDFs, printed materials, or handwritten paper with a camera and converting it using OCR.