News

Opera Enables Emoji-Only Web Addresses Provided By Yat

While longer addresses consisting of four or five emojis sell for as little as $4, it can cost hundreds of thousands of dollars to secure a memorable single-emoji URL.

Published

4 years ago

February 16, 2022

David Morelo

opera enables emoji-only web addresses provided by yat

Yat

If you have the latest version of the Opera web browser installed on your computer, go ahead and launch it.

Now, copy & paste 🌈🚀👽 into the address bar and press Enter. You should see a landing page belonging to Kesha, the American singer-songwriter.

You can also enter 👽🎵 to be redirected to the official website of Young Money Entertainment, the American record label founded by rapper Lil Wayne.

These emoji-only web addresses are the result of Opera’s partnership with Yat, a startup that sells URLs with emojis using its Y.at domain. Thanks to the partnership, Opera users now don’t have to enter “y.at” when visiting Yat’s emoji-only web addresses.

“The partnership marks a major paradigm shift in the way the internet works” said Jorgen Arnesen, the executive vice president of mobile at Opera. “It’s new, it’s easier, and more fun”.

It can also be pretty damn expensive. While longer addresses consisting of four or five emojis sell for as little as $4, it can cost hundreds of thousands of dollars to secure a memorable single-emoji URL.

Why would anyone do that when it’s fairly easy to purchase a custom domain name that supports emojis and use it instead of the “y.at” domain? Because Yat’s CEO Naveen Jain has big plans for the startup.

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In the future, Jain would like Yat to become a self-sovereign company using blockchain technology to provide a decentralized alternative to the current domain name system (DNS).

“This is laying the foundation. There are certain elements of the vision that are certainly more of a social contract than actual implementation at this point in time” says Jain. “But this is the vision that we’ve set forth, and we’re working continuously towards that goal”.

In 2021, Yat sold almost $20 million worth of emoji identities, and the partnership with Opera could make 2022 sales figures even more impressive.

News

Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

Published

2 weeks ago

February 27, 2026

Nour Nasir

Google

Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.