5-10×
Faster than CPU-based in-browser inference
Recall → Reconnect → Discover
Remember what you read. Discover what matters next.
Ocno helps you recall pages, reconnect ideas, and discover relevant sources while you browse.
“Where did I read that?” recall
On-page explain/summary/translate without copy-paste
A visual Brain that reconnects ideas
0:00 / 0:00
100%
Local execution - your data never leaves your machine
3-4 GB
RAM needed for models comparable to GPT-4o quality
$0
Ongoing subscription cost once you're running locally
Join Early Access
Get priority onboarding, founder-circle perks, and direct influence on what we build next.
FEATURES
One layer.
Six capabilities.
Everything you need to turn passive browsing into active, connected knowledge.
Ocno Brain
Your browsing becomes a connected cognitive map. Pages, ideas, and topics form structured relationships you can explore visually.
Personalized Feed
Surfaces updates based on your real interests — not generic algorithms. Your curiosity becomes the signal.
Contextual Intelligence
Ask Ocno directly on any page. Explain concepts, summarize, clarify — without copying or switching tools.
Continuous Context
Connects your current page with what you’ve read before. Relevant context resurfaces automatically.
Expand Writing
Write key points. Let Ocno refine, expand, restructure — or translate instantly. Perfect for emails, reports, drafts.
Guided Actions
Ask Ocno how to accomplish something on a page. Steps are highlighted directly in the interface. No friction.
ARCHITECTURE
Everything stays
on your machine.
No data leaves your device. Ever. Here's exactly what talks to what.
Public articles are delivered in bulk
Each day, the OCNO server crawls public news sources and delivers the full article bundle to your device in bulk. Because everything arrives upfront, the server does not know what you actually read or like.
Your local model does the ranking
A local ranker compares that bundle against your own browsing context, memory, and reading profile - entirely on-device.
Personalisation stays local
The server provides the inputs, but it does not see the local signals or ranking logic that shape your feed. The relevance layer lives on your side of the boundary.
VALUES
Built on three non-negotiables.
Every design decision in Ocno follows from these principles - nothing is compromised.
01Cognition
Your second brain
- Remembers what you read automatically - no manual saving
- Connects related ideas across sites, tabs, and time
- Surfaces relevant context exactly when you need it
- Builds a personal knowledge layer that evolves with you
- Turns fragmented browsing into continuous thinking
02Privacy
Your device only
- All AI processing happens on your machine - always
- No cloud servers receive your browsing history
- No tracking, telemetry, or data collection
- Works fully offline once installed
- Designed for privacy-sensitive professional workflows
03Efficiency
Less friction, more thinking
- Eliminates the "where did I read that?" moment entirely
- Reduces context switching between tabs and tools
- Information surfaces when needed, not when searched
- Replaces expensive AI subscriptions with local models
- Faster decisions, deeper research, less cognitive load
WHO IT'S FOR
For people who think for a living.
Ocno is built for anyone who reads deeply, researches seriously, and can't afford to lose what they've already learned.
How Builders use Ocno
In the morning, Ocno surfaces relevant updates based on what you’ve been exploring — frameworks, libraries, tools, discussions — pulled from multiple trusted sources.
While building or debugging: “I’ve seen this before.” Ocno reconnects past solutions, research, and documentation.
While reading documentation or technical articles: Ask Ocno. Explain this. Ocno clarifies concepts directly on the page.
What enabled this?
5-10x Faster
Thanks to its compiler-optimized engine and full GPU utilization, Ocno delivers up to 5–10× higher performance compared to traditional CPU-based in-browser model execution.
Smaller models are catching up 🔥
Smaller models like Qwen3 4B (GPU and 4GB RAM needed) can achieve quality comparable to large earlier models such as GPT-4o in many tasks proven by various benchmarks.
Model Compression & Quantization
Advances in quantization and model compression drastically reduced memory requirements, making powerful models practical on everyday devices. You can now run model comparable to GPT-4o on just 3–4 GB of RAM — enabling capabilities once limited to large cloud systems.
What hardware do you need?
MacBook M1 (Apple Silicon)
- Designed, developed, and extensively tested on Apple Silicon devices, including MacBook Pro M1 and MacBook Air M1.
- Apple Silicon unified memory architecture and high-efficiency GPU acceleration provide excellent local AI inference performance.
- Newer Apple Silicon chips (M2, M3, and beyond) deliver smoother performance.
- Newer chips also enable larger and more capable models.
Minimum: 8GB
Good: 16GB
Best: 32GB+
Minimum: M1
Good: M1 Pro
Best: M3 Max+
Recommended Baseline
M1 Pro or newer16GB RAMApple Silicon
MAKER
Meet the Builder
I replaced my social life with shipping.
