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Under the wave of AI, many people have taken advantage of this favorable trend to launch related smart hardware. However, these products are basically more gimmicks than actual effects, which has also discouraged many consumers who are on the sidelines.

Recently, a GPT version of the recording "physical plug-in" - Plaud Note has become popular on the Internet.

From the appearance, it looks a bit like a "thick card holder", but Plaud Note's core function is only one, that is recording. It aims to help users better remember and understand the content of the conversation through recording and AI.

It is worth mentioning that the team behind Plaud Note is a startup company from Shenzhen, China.

So why is it so popular?

There are two points: one, it hits the pain points of iPhone users; two, it is convenient enough.

As we all know, Apple has never added the call recording function to the iPhone, which has become a pain in the hearts of many users. Therefore, many manufacturers have seized this "business opportunity" and chosen to launch hardware with call recording function for the iPhone.

Plaud Note looks like an ultra-thin power bank, with a thickness of only 0.29 mm. It has only two buttons on the body, which can only be used to start recording and switch modes. It has three built-in microphones, which feels both low-key and innovative.

Since iOS 18 already supports call recording, it requires permission from the person you are calling before using it. Although Apple does this for user privacy reasons, it also limits some user usage needs to a certain extent.

On the other hand, Plaud Note is also extremely easy to use. Users only need to turn on the button to start recording, without the need for any software authorization. In addition, Plaud Note can also provide AI noise reduction optimization and simultaneous uploading and saving of recording content.

Plaud Note is also the world's first recorder with ChatGPT support. It has the ability to organize, refine and summarize recordings. It also supports text conversion in nearly 60 languages, and can even organize content into mind maps, notes or diaries, greatly improving the efficiency of information processing. However, all of the above functions require users to pay a subscription fee of US$9.9 per month.

In addition, Plaud Note has also added a Magsafe function to make it easier for users to stick it on the back of the phone when using it.

In terms of battery life, Plaud Note has a built-in 400mAh battery, which can record continuously for 30 hours when fully charged and store about 480 hours of audio content.

In terms of price, the price of Plaud Note during crowdfunding was around US$700, and is currently around US$1,100.

From the current perspective, Plaud Note can be said to have "peaked as soon as it debuted". It received more than 1.1 million US dollars in support within less than two months after being listed on the foreign crowdfunding software Kickstarter. It then switched to other platforms and raised another 1.2 million US dollars. Finally, the sales in the entire pre-sale stage were nearly 6 million US dollars.

Don’t think that it is another product that collects money and runs away. As of now, Plaud Note has delivered more than 100,000 units, making it one of the few popular AI hardware products.

However, although Plaud Note has no limitations, it still cannot be compared with Apple Intelligence. After all, the former is just a "secondary accessory" and certainly cannot compare with the original functions, and it will also face the risk of suppression and banning by Apple. Fortunately, Plaud Note currently only has the recording function, which can also avoid some troubles.

Nowadays, these AI hardwares are just giving traditional products large model capabilities, and the actual effect is very general. The reason why Plaud Note is successful is mostly because it fits the characteristics of iPhone users. Truly mature and easy-to-use AI hardware must be in line with the public's usage habits and make everyone's AI smart partner unique. In this way, AI hardware still has a long way to go.