u/Academic_Dot_8970

How do you guys know you have drank enough water?

Yes it might sound dumb but I get conscious about not drinking enough water, I honestly just tend to forget to drink water on a day to day basis and then if I do I forget if I even drank enough water lol.

Downloaded a dumb app that is like a gamified fish that like tracks your water intake, it honestly is not perfect at all but it sends reminders to me throughout the day to drink water and you can make the reminders like funny and what not which I thought was fun and I get to keep my little fish alive lol

I have a bad habit of drinking water honestly, my personal accountability is just not there lol found a small little app that reminds me to drink water throughout the day and tracks/keeps a little fish character alive and honestly I love it, it is not perfect but the reminders itself help a lot

Yes it might sound dumb but I get conscious about not drinking enough water, I honestly just tend to forget to drink water on a day to day basis and then if I do I forget if I even drank enough water lol.

Downloaded a dumb app that is like a gamified fish that like tracks your water intake, it honestly is not perfect at all but it sends reminders to me throughout the day to drink water and you can make the reminders like funny and what not which I thought was fun and I get to keep my little fish alive lol

I created a native macOS application that I was using myself and then made it for others but as I said it is macOS native. I have had some people on windows who are interested in trying it but it seems rather difficult to figure out the right path.

the app is swift/appkit, menubar-based, uses a bunch of mac-specific stuff (NSMenu, NSAlert, LSUIElement, keychain, FSEvents for file watching). it's not the kind of thing that would port cleanly because half of it is built around how mac handles these things.

for anyone who's been in this spot, what's the move?

the options i'm weighing:

- electron rewrite for a windows version (defeats the whole point of going native)

- swift on windows (still feels early)

- a separate windows-native build that shares the protocol but not the code

- just stay mac-only and accept the tradeoff

leaning toward the last option because the whole reason i built it native was to avoid the electron route. but losing potential users hurts.

anyone shipped something native on mac and figured out a clean cross-platform path that didn't compromise the mac version?

every new AI chat starts from scratch. i was spending 10 minutes per session re-explaining context across claude, chatgpt, and cursor. as a solo founder juggling a few projects that adds up fast.

so i built a fix:

- obsidian as the storage (plain markdown, i own my data)

- claude code organizing it in the background (filing, tagging, linking)

- MCP exposing the vault so every AI tool can read and write to it

now my context travels with me. one memory layer, every LLM. turned it into a product. the reaction from those I have shown a demo has been "wait, you can do that?"

the weird part of building this is that the pain is invisible. nobody searches for "persistent AI memory" because they don't know that's the thing missing, they just feel friction and assume that's how it works.

been working on something that started as a personal fix and turned into an actual product

i juggle a bunch of projects, client work, two apps, school and i kept hitting the same wall: every new chat with claude or chatgpt starts from zero. i'd burn 10 minutes re-explaining context, or just give up and lose the thread entirely.

so i hacked together a 'second brain' for claude code using obsidian as the backend. custom tooling auto-files notes, organizes by project, tags things, and links related knowledge as it accumulates. claude code is genuinely good at this when you give it the right structure.

then the real unlock: i wired it up over MCP so claude.ai, chatgpt, and anything else that speaks MCP can read and write to the same vault. now i can be deep in a discussion in one chat, hop to another tool, and the context just shows up. one memory layer, every LLM.

turned it into a product, taproothq.com, but honestly even if you don't use it, the pattern is worth taking obsidian + MCP + a little glue code = persistent memory across every AI tool you use.

happy to dig into the implementation if anyone's interested. and I am just getting off the ground and have a code for free year if any is interested in giving it a shot. Just shoot me a dm

https://preview.redd.it/mgormb1joizg1.png?width=663&format=png&auto=webp&s=a2db7776a1fcd9f072963922ee5de162706d5deb

Hi twitter people, my account was recently suspended for "engaging in platform manipulation, I submitted an appeal and they did not take away the label. I am really not sure what I did, I was spending a lot of time on twitter tweeting and engaging with builders because I was trying to build in public.

I guess my question is will I ever get my account back or should I just scratch it and make a new one? I am trying to build in public and I was posting my journey and now it has been a couple of days already.

Hi everyone, I am currently working on a project that helps people manage context better if they are heavy AI users. It is pretty much a tool that allows users to save context from AI sessions or really anything that they are working on and bring it back up whenever they want.

I honestly think it has a valid use case but I do not know how to even get eye balls on it at all to either

A. validate

B. trash it and move on

C. Pivot

I quit my job and do not have an insane budget just want to fail fast, move on and not waste my time but distribution is no easy game

Hey just wanted to share a cool project/concept I have been working on essentially I use claude code + obsidian to give claude a "second brain" of my activity and save context regarding sessions etc, I have custom tooling so it is intelligent and auto-files, organizes, tags so knowledge gets connected then I thought....

Why can't I connect this via mcp to claude.ai, chatgpt etc so I did so now whenever I use claude or chatgpt or any other LLM that uses MCP I can save whatever I am doing in one chat and bring it up in another automatically and deleted, pretty helpful for me at least because I manage all kinds of different projects and contexts

I am trying to post my startup to get roasted on and the moderators just immediately take down my post every time I try, it isn't even AI generated content and I didn't even put any links at all. I am just trying to get feedback man.

Essentially it is a memory layer MCP that connects to your Claude, Chatgpt etc, able to auto-tag, auto-organize ideas, projects etc and recall that information whenever you need the context, draws connections between ideas and so on.

I think it would be best suited for

Product-Management, Project Management, Solo founders and entrepreneurs, people who use claude and LLM tools a lot for all sorts of research, use, copy, etc and want to easily be able to bring up relevant context, research pretty much anything that they want to remember. Can explain more but I would be lying if I was not hesitant to do it in the post because my posts keep getting taken down. Thanks!

MacOS download with MCP that connects your files to claude and LLMs, 18 different tools built in, AI-native and made for heavy AI users

What I want roasted on:

1. Anything and everything

2. I feel really broad, maybe need to niche down

3. Is the problem painful enough?

4. Am I solving too much at once?

5. Not really a roast but I have no idea how to do distribution

Hey I am a solo founder, Quit my job 2 weeks ago to go full-time on a solo tool, hoping to not go broke before I figure out something that works

The concept is simple:

Every time you open a new ChatGPT thread or a Claude session, you essentially have to rebuild context about your projects from scratch. Re-explaining your project, idea, re-inputting docs, re-stating preferences etc. Chatgpt and Claude have memory but not access to progression into your real projects at least using them in the browser

My MCP and platform sits between you and the AI tools, it is a memory layer that all of them can pull from and whenever you save something from chat it auto-organizes, tags, connects to other relevant ideas.

Three layers:

-Personal (preferences, voice, stack)

- Project (per-project, decisions, prior work)

-Persona (per-client, per-brand, per-role)

The more you use it the richer it gets

Where things stand:

Current state:

- 13 on waitlist (mostly, friends, family network)

- In waitlist phase not shipped

My concerns:

1. ChatGPT and Claude will absorb this

2. People just using Notion

3. Not niching down

4. Not solving a painful enough problem

What I want roasted on:

1. Is this a real problem people actually have?

2. Is it too complicated and does the copy land? taproothq(dot)com

3. Distribution, no idea how to find users

4. Literally anything else

5. Too broad not focused on one niche

Niches I think it would be helpful:

1. Claude and Chatgpt users

2. Solo founders, managing lots of projects and context

3. Product/Project Managers who use LLM tools, AI-heavy research and PRDs

4. Fractional execs juggling 3-4 clients

5. Agency owners

6. Multi-brand creators/ghostwriters managing voices and lots of clients

Looking for all feedback, want to fail early and move on if needed

will drop website if someone wants to see, trying to avoid spam