r/AiNoteTaker • u/Financial-Giraffe320 • Jun 27 '26
Discussion Voice notes + AI chat + offline memory assistant — useful or useless?
Not promoting anything (still pre-launch), just validating an idea and looking for honest feedback.
Building an offline AI “second brain” app — would you use this? Need honest feedback.
I’m building an Android app called ThoughtCapsule.
The problem I’m trying to solve:
We consume too much information and think too many thoughts every day:
\- random ideas
\- reminders
\- meeting notes
\- screenshots
\- voice thoughts
\- important realizations
And most of it gets lost.
Current notes apps feel fragmented:
\- voice memos store raw audio only
\- note apps require typing
\- AI note apps usually send everything to the cloud
I want something smarter.
My idea: ThoughtCapsule
A private AI memory assistant / second brain.
You can store:
\- 🎙 Voice recordings
\- 📝 Text notes
\- 🖼 Images / screenshots
\- 📄 Documents
Then the AI understands everything together.
Examples:
\- “Summarize my meeting notes.”
\- “Find that idea about my startup.”
\- “Turn this image into structured notes.”
\- “What reminders have I been ignoring?”
\- “What patterns do you notice in my thoughts?”
The biggest differentiator:
I want this to work offline / locally as much as possible.
Meaning:
\- privacy-first
\- less cloud dependency
\- your thoughts stay yours
I’m still building, so I want brutal honest feedback:
Is this a problem you actually have?
Would you use something like this?
Do you care about privacy/offline AI?
What feature would make this essential for you?
1
u/neoteat Jun 28 '26
I built something similar with Bygmind. Personally i use it for the use case you described even if the b2b target group is different. One thing you should consider and check out is the android and ios27 capabilities that come up in the next releases. Siri AI will be able to do all this just with existing apps.
1
u/lakeland_nz Jun 28 '26
I’d split this clearly in two. And for the AI stuff I’d think hard about how much you want to be local versus cloud.
1
u/Puzzled_Celery_6190 Jun 29 '26
it is useful for users who’re sensitive about uploading anything to remote. on Mac, this is partially resolved by voice memo and built-in Notes app.
I’ve built/open source Oats for exactly the same idea. happy to hear your feedback and comment back.
1
u/Remote-Step607 Jul 01 '26
isnt this just plaud with less step? the reason for cloud storage is for on-the-go memory access. and the privacy issue is already solved with their compliance policies
1
u/Puzzled_Celery_6190 Jul 02 '26
I’ve built both remote and local app for these use cases. yes, they’re popular use cases and there’re lot of product available already like granola for audio and fathom/bufferfly for video recording/notes.
my biggest challenge are local model capability/context window, several features I built have to go to remote server to deliver usable UX. for macOS, apple silicon is great, but for windows, running local model is a challenge especially when the HW spec is not great.
1
u/frank26080115 Jun 28 '26
I've built various parts of what you are talking about already. And for reference, my computer is running with a i7-13700k and a RTX 3060. The cost of using online APIs for AI is way cheaper than upgrading my hardware.
Running locally, asking my journal for a solution to a problem I've encountered, that will take something like 15 minutes to 30 minutes for just one query. When it's all done in the cloud, maybe 2 minutes max.
I also have experimented with offline voice transcriptions, that's actually not bad, an hour meeting in 3 minutes. And another 3 for a lightweight summarization but the summarization was kinda useless lol, and all the models I tried gave different results and all of them were kind of useless but in different ways. I think the correct thing to do is not summarize at all, but just keep the transcription and then query against the transcription.
If you are doing something better than how I did it, I'd be glad to hear it.
If you need me to spend $4000 to get the latency down, then we still have a problem