u/Due_Peace_5114

Hey Reddit,

Like many of you, I spend my day jumping between ChatGPT for logic, Claude for writing, and Gemini for research. But I ran into a massive problem: AI Silos.

I’d have a 3-hour conversation about an architecture decision in ChatGPT, then want to continue it in Claude... and I'd have to copy-paste or explain everything from scratch. Or worse, I’d remember a great piece of code from "two weeks ago" but couldn't find which platform or chat it was in.

So I built ATLAS (https://useatlas.space).

What is it? It's a lightweight Chrome extension + Dashboard that acts as a universal memory layer for your AI interactions.

The Cool Stuff:

• One-Click Capture: Works with 9+ platforms (ChatGPT, Claude, Gemini, DeepSeek, Perplexity, etc.).
• Local-First & Privacy: Heavy processing happens in your browser. You own your data.
• Semantic Search (RAG): Don't remember the exact words? Just search for the "concept" and ATLAS find the right conversation using vector search.
• Auto-Magic Structure (feature still in dev): It doesn't just store text. It automatically detects decisions, action items, and code snippets to organize them in a Kanban/Wiki style.
• Massive Token Compression: When you want to "move" a conversation, ATLAS generates a compressed context file so you don't waste tokens re-explaining things.

I posted a prototype a while back and got some great feedback from this community. I've spent the last few weeks fixing the routing, implementing Stripe (thanks for the advice on that!), and refining the parsers to handle long, virtualized conversations.

I’d love to get your thoughts on it. Is the "AI Silo" something you struggle with? What feature is missing to make this your daily driver?

Check it out here:https://useatlas.space

P.S. I’m offering a "Premium" and "Business" plan for power users, but the Starter plan is 100% free to get you started with your first captures.

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Hi everyone,

Following my last post about wasting 30 hours a year re-explaining context to AI, the feedback has been insane. It turns out I'm not the only one tired of copy-pasting project rules every morning.

I've been polishing the tool, and Atlas will be officially available within the next few days.

What Atlas does:

• Captures your context from one AI (GPT, Claude, Gemini).
• Injects it into another in seconds.
• Zero friction. Zero repetition.

I'm opening a priority waitlist today. I want to ensure a smooth experience for the first users, so I’ll be onboarding people in small batches starting next week.

Join the waitlist here for early access:useatlas.space

If you're a power user who switches between models 10 times a day, this was built for you.

TL;DR: No more "starting from scratch" with AI. Atlas launches next week. Get on the list.

Hi everyone,

Following my last post about wasting 30 hours a year re-explaining context to AI, the feedback has been insane. It turns out I'm not the only one tired of copy-pasting project rules every morning.

I've been polishing the tool, and Atlas will be officially available within the next few days.

What Atlas does:

• Captures your context from one AI (GPT, Claude, Gemini).
• Injects it into another in seconds.
• Zero friction. Zero repetition.

I'm opening a priority waitlist today. I want to ensure a smooth experience for the first users, so I’ll be onboarding people in small batches starting next week.

Join the waitlist here for early access:useatlas.space

If you're a power user who switches between models 10 times a day, this was built for you.

TL;DR: No more "starting from scratch" with AI. Atlas launches next week. Get on the list.

Hi everyone,

Following my last post about wasting 30 hours a year re-explaining context to AI, the feedback has been insane. It turns out I'm not the only one tired of copy-pasting project rules every morning.

I've been polishing the tool, and Atlas will be officially available within the next few days.

What Atlas does:

• Captures your context from one AI (GPT, Claude, Gemini).
• Injects it into another in seconds.
• Zero friction. Zero repetition.

I'm opening a priority waitlist today. I want to ensure a smooth experience for the first users, so I’ll be onboarding people in small batches starting next week.

Join the waitlist here for early access:useatlas.space

If you're a power user who switches between models 10 times a day, this was built for you.

TL;DR: No more "starting from scratch" with AI. Atlas launches next week. Get on the list.

Hi everyone,

I’ve spent the last few months building Atlas. It solves a problem every power user has: "Context Fatigue."

I realized I was wasting 30 hours a year just re-explaining my rules and project background every time I switched between ChatGPT and Claude. So I built a way to "inject" that context anywhere in 10 seconds.

The tool is ready. The "gold" is there. But I’m a builder, not a marketer.

I’m looking for someone (US-based or with a US audience) who loves productivity tools and wants to help me spread the word.

What I offer:

• A free Lifetime Business account for you.
• I can create accounts for your audience/testers.
• If we vibe, I'm open to a long-term partnership/deal.

If you have a LinkedIn following, a newsletter, or a YouTube channel about AI and you want to test a tool that actually solves a real problem:

Drop me a comment or email me at: pnael8926@gmail.com

Let’s stop wasting those 30 hours.

Hi everyone,

I’m a developer and the co-founder of Hydra (LinkedIn analytics). Recently, I finished my AI certification at Columbia University, and I realized a major friction point in my workflow: I was having incredible breakthroughs with ChatGPT and Claude, but they were getting buried in unsearchable chat histories.

I spent the last few months building Atlas to solve this. It’s a tool designed to turn messy AI conversations into a structured, actionable memory.

How it works (The Tech):

• Action Vectors: It automatically extracts tasks from your chats and populates a Kanban-style dashboard.
• Semantic Anchors: It identifies core concepts so you can query your own "AI knowledge graph" later.

The Impact: In my own testing, I've managed to save about 12 hours a month just by not having to re-explain context or search for old prompts.

I made a short demo video using Remotion (React-based video) to show the UI in action (check the "Images et vidéo" tab).

I'm currently opening an early-access waitlist to gather feedback and refine the semantic extraction models.

I'd love your thoughts: How do you currently "save" the value you get from AI? Does an automated memory layer make sense for your productivity stack ?

Link : useatlas.space