China influencer amasses over 1 million followers in 2 weeks by sharing how to rent a home tips
A Chinese influencer gained more than a million followers in just two weeks by simply teaching people how to rent a home. His efforts earned widespread support and appreciation from Chinese netizens. The influencer, known as Gulumao, was born in the 1990s and is based in Xiamen, Fujian province, southern China. He went viral for offering simple, practical life-skill tutorials, becoming one of the fastest-growing creators on one major platform since the start of this year. On February 26, he...
A Chinese influencer gained more than a million followers in just two weeks by simply teaching people how to rent a home.
His efforts earned widespread support and appreciation from Chinese netizens.
The influencer, known as Gulumao, was born in the 1990s and is based in Xiamen, Fujian province, southern China.
He went viral for offering simple, practical life-skill tutorials, becoming one of the fastest-growing creators on one major platform since the start of this year.
A densely populated residential district in Beijing. The influencer provides tips on finding the right rental flat. Photo: Shutterstock
On February 26, he posted his first video, “Youth Study: How to Rent a Home”, which has since amassed over 4.6 million views.
Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
platformmillionchina
How to Scrape DoorDash, Uber Eats, and Grubhub Menu Data in 2026
How to Scrape DoorDash, Uber Eats, and Grubhub Menu Data in 2026 Food delivery platforms are among the harder scraping targets — they use aggressive anti-bot measures, require location parameters, and structure their data differently across platforms. Here's what actually works for extracting menu data, restaurant listings, and pricing. DoorDash: Menu Data Extraction DoorDash embeds menu data in the page's server-side rendered HTML as a JSON blob. This is the cleanest approach — no API authentication needed: import requests , re , json from curl_cffi import requests as cf_requests def scrape_doordash_menu ( store_url : str ) -> dict : """ Extract menu data from a DoorDash restaurant page. URL format: https://www.doordash.com/store/restaurant-name-city-12345/ """ session = cf_requests . Ses
How to Hyper-Personalization in Action: From Story Angle to Ranked Media List in Minutes
Title: Beyond the Blast: Using AI to Hyper-Personalize Media Lists Intro: You’ve spent hours crafting a perfect story angle. Now, you face the tedious, error-prone task of matching it to the right journalists. Generic lists lead to ignored pitches. AI automation turns this from a chore into a strategic advantage. Core Principle: Contextual Matching Over Keyword Spraying The key is to move beyond simple keyword matching (“climate tech”) to contextual alignment. AI can analyze a journalist’s entire body of work—their recent focus, narrative style, and even subtle tone preferences—to judge true fit for your specific angle. This ensures your pitch lands in an inbox already primed for your story’s theme. Tool in Action: An AI-Augmented Media Database Imagine a platform like Meltwater’s AI tools
GHSA-QCC3-JQWP-5VH2: GHSA-qcc3-jqwp-5vh2: Unauthenticated Resource Exhaustion via LINE Webhook Handler in OpenClaw
GHSA-qcc3-jqwp-5vh2: Unauthenticated Resource Exhaustion via LINE Webhook Handler in OpenClaw Vulnerability ID: GHSA-QCC3-JQWP-5VH2 CVSS Score: 5.3 Published: 2026-04-02 The OpenClaw personal AI assistant platform contains a resource exhaustion vulnerability in its LINE webhook handler. The application fails to enforce concurrency limits prior to processing unauthenticated HTTP POST requests, allowing an attacker to cause a Denial of Service (DoS) through rapid CPU and memory consumption. TL;DR Unauthenticated attackers can trigger severe Denial of Service in OpenClaw by sending high-concurrency requests to the LINE webhook handler. The lack of a pre-authentication resource budget causes the server to exhaust memory and CPU while performing cryptographic signature verification. Technical D
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!