u/coolazr

Hey everyone,

I’m trying to set up a unified Context/Memory System using Markdown (.md) files so my key project details, decisions, and background context can follow me across multiple AI models (Gemini, ChatGPT, and Claude).

My ideal setup is:

1. Markdown files sit in a single cloud storage hub (Single Source of Truth).
2. Accessible everywhere — especially when using browser chat interfaces and mobile apps.
3. Read & Write (or update) — the AI can read my .md files at the start of a chat and update/append new memory logs at the end.

The Problem:

I realized web/mobile models struggle with live read/write integration for plain text/Markdown files on cloud drives. For example, Gemini connects to Google Drive, but it creates a new Google Doc instead of updating existing .md files. ChatGPT/Claude have their own isolated projects/memories.

I know how to set this up locally on desktop (VS Code, Cursor, Obsidian plugins, or Gemini/Claude CLI via MCP), but my main goal is a seamless Web & Mobile workflow where I don't have to manually copy-paste text files every time I open a new chat on my phone.

Questions for the community:

1. How do you keep cross-platform memory across web & mobile? Are you using GitHub Actions to sync files to Google Drive/Dropbox? Custom RAG links?
2. How do you handle updates? Do you manually update your central .md vault, or have you found a clean way to let the AI write/append back to the cloud vault from a mobile/browser chat?
3. What’s your setup? (e.g., Notion vs. GitHub vs. Obsidian + Sync vs. custom wrappers like TypingMind/Context Link).

Would love to hear how others are solving this "session amnesia" and file-syncing problem across different LLMs!

Hi everyone,

I'm analyzing 1 year of EURUSD H1 OHLC data and want to split it into trading sessions.

What confuses me is Daylight Saving Time (DST).

For example, the London session opens at different UTC times in summer and winter. When looking at historical broker data:

• Do brokers automatically adjust their server time so the London open always appears at the same candle?
• Or does the London session shift by one H1 candle when DST changes?
• What's the correct way to identify London and New York sessions in historical data?

I'm building a trading tool, so I want to handle this correctly.

Any guidance would be greatly appreciated. Thanks!

Hi everyone,

I'm building a project that analyzes 1 year of EURUSD H1 OHLC data, and I want to split the data into trading sessions (London, New York, Asian, etc.).

However, I'm really confused about how session times work when Daylight Saving Time (DST/BST) changes.

For example, the London session starts at 7:00 UTC in summer and 8:00 UTC in winter (depending on DST).

My questions are:

• Do brokers automatically adjust their candle times when DST changes?
• If my broker's H1 chart shows the London open at 7:00, will it always stay at 7:00 on the chart because the broker changes its server time?
• Or does the London open actually shift by one candle during the year on the broker's charts?
• When backtesting or analyzing historical OHLC data, what's the correct way to identify London and New York sessions across DST changes?

I'm trying to build this correctly, but I'm struggling to understand whether I should rely on the broker's timestamps or calculate session times based on UTC and historical DST rules.

I'd really appreciate it if someone could explain how this is usually handled.

Thanks!

Claude: We launched Skills, Design, Claude Code, and Fable, and we're going to change the world.

ChatGPT: We have the power to block people from accessing and using ChatGPT. 💪💪

https://preview.redd.it/tncg8s3abtbh1.png?width=899&format=png&auto=webp&s=3288cf21f3cf1541faf25d29d46f6c5fb2613583

I am constantly trying to find a way to rely on just one note taking app, but I haven't found a single solution that does it all. Right now, I juggle three: Google Keep, Obsidian, and TickTick.

Here is how I break down my workflow:

• Obsidian: For my main, heavily formatted notes.
• TickTick: For task management and brain dumping everything into my inbox.
• Google Keep: For quick, temporary notes. There are just some things Keep handles flawlessly compared to the other two, which is why it remains a vital part of my productivity.

I’m curious to hear about your setups. Do you all rely on a single note taking app, or do you use a combination like I do?

Thanks.