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I am currently working on thethoughtcatcher.com

It started as a side project to explore the latest AI trends. Now it’s something we use daily — and others are starting to as well.

Thoughtcatcher is a lightweight, AI-powered notes + reminders app that acts like a memory companion.

It helps you: - Capture raw thoughts and auto-tag them using AI - Set smart reminders triggered by context and meaning - This was a game changer for me personally - Search and chat with your notes like a conversation — not just by keywords, but by intent

Example? You’re walking out of a meeting and think: “We should revisit that pricing model after the new release.” You jot it into ThoughtCatcher — no structure, no stress. A week later, right before the next sprint planning, it reminds you. Just when you would’ve forgotten — it remembers.

What started as a learning project has grown into something useful — not just for individuals, but for teams too.

We’re now exploring B2B use cases like: • Project knowledge management • Shared team notes with smart search and chat • Meeting follow-up insights and reminders • AI-powered team memory for client or product work

Want to try it out? Android users: Download the app iOS users: Use the PWA — just “Add to Home Screen”

Still early. Still learning. But ThoughtCatcher already feels like something I wish I had years ago.

Would love your feedback or thoughts. And if you’re building something similar— let’s connect



Nice to see an entirely new category of program, based on the core data type "thought", which is what I would call pre-organized information. A spontaneous thought could become a task or a whole project plan, a project or product, once refined, or a memo, even a book. The value proposition is to capture early where other tools force more orgnization before or at capture. So one problem you solve is losing a nucleus of a thought before having time to enter it in a program that requires more metadata. A second way you provide value is that despite being pre-organized, your "thoughts" are already somewhat actionable - this is what using an LLM gives you.

Personal information management is flooded with useless "TO DO" apps that offer little value over plaim text files (which is what I use for tasks), but it appears you have put something together that caters to the informal side of knowledge management in the same sense that Google catered to informal (unstructured) Web pages, overcoming the world of relational databases and forced categorization of library card catalogs.

My recommendation would be to offer APIs and plain text import/export capabilities to grow your app into an ecosystem that can accommodate playing with enterprise tools or homegrown solutions.

I wish you a huge success with this app!


Thank you so much for this deeply thoughtful comment,you’ve articulated the core intent behind ThoughtCatcher better than I could myself!. The idea of capturing a "nucleus of a thought" before it dissolves exactly that!. I absolutely agree with your suggestion on APIs and plain text import/export. That’s on my roadmap, I want users to feel like they own their thoughts and can plug them into any workflow, from personal journaling to enterprise systems. Thanks again for taking the time — it means a lot!


Ingesting idea! I've been looking for an alternative to using Android's Tasks app for jotting down thoughts. I prefer it over the Notes app because I can curate categories as different lists.

Random callout: the copy in your app store preview images would benefit from some proof reading. Example: "WE dont just store thoughts, but makes sense of them" should likely be "ThoughtCatcher doesn't just store thoughts, it makes sense of them". My 2 cents is to also rework "Capture your mind" as it's a little awkward. Maybe "Organize your thoughts", "Supercharge your thoughts", or something along those lines.


Thanks so much for the thoughtful feedback — really appreciate you taking the time to point that out!

You're absolutely right — the copy needs some polish, and that line in particular slipped through. I'm already working on updates to clean up the messaging and make it more clear and engaging (and less awkward — "Capture your mind" was definitely a placeholder).

Thanks again — feedback like this is super valuable as I shape ThoughtCatcher into something truly useful!


> not just by keywords, but by intent

A relatively "simple" approach (augmented associative memory) gives very good results, check for example the good old "Remembrance Agent", and it may complement a LLM(?)


I didn’t know about the Remembrance Agent, just looked it up, and it sounds super relevant! I’ll definitely dig deeper into it. Thanks a lot for pointing it out and for your comment!


if anyone want to go through the current use cases possible , please see our initial documentation at #https://docs.thethoughtcatcher.com/introduction




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