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Xiaohongshu

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DataFunTalk
DataFunTalk
Jun 30, 2026 · Big Data

How Xiaohongshu Evolved Its Data Architecture for the Big AI Data Era

Xiaohongshu, with over 3.5 billion monthly users and daily logs in the trillions, migrated 500 PB of data to Alibaba Cloud and iterated its data platform through four architecture generations—ClickHouse‑based ad‑hoc, Lambda, Lakehouse, and a unified incremental compute model—cutting resource, development, and storage costs to one‑third while delivering sub‑10‑second query latency at petabyte scale.

Big DataClickHouseData Architecture
0 likes · 22 min read
How Xiaohongshu Evolved Its Data Architecture for the Big AI Data Era
DataFunTalk
DataFunTalk
Jun 24, 2026 · Big Data

How Xiaohongshu Re‑engineered Its Data Architecture for the Big AI Data Era

Xiaohongshu, with over 350 million monthly users and daily logs in the billions, migrated its data platform from AWS to Alibaba Cloud and iterated four times—from a ClickHouse‑based ad‑hoc layer to a Lambda architecture and finally a Lakehouse with incremental compute—cutting architecture complexity, resource cost and development effort each to about one‑third while delivering second‑level analytics on trillion‑scale data.

Big DataClickHouseData Architecture
0 likes · 22 min read
How Xiaohongshu Re‑engineered Its Data Architecture for the Big AI Data Era
DataFunTalk
DataFunTalk
Jun 20, 2026 · Big Data

How Xiaohongshu Evolved Its Data Architecture for the Big AI Data Era

The article details Xiaohongshu's step‑by‑step migration from a simple ClickHouse‑based analytics stack to a Lambda‑style 2.0 architecture and finally to a Lakehouse‑based 3.0 design, highlighting concrete performance numbers, cost reductions, and the definition of a generic incremental‑compute model (SPOT) that underpins the evolution.

Big DataClickHouseData Architecture
0 likes · 22 min read
How Xiaohongshu Evolved Its Data Architecture for the Big AI Data Era
DataFunTalk
DataFunTalk
May 28, 2026 · Big Data

How Xiaohongshu Evolved Its Data Architecture for the Big AI Data Era

Xiaohongshu transformed its data platform from a simple ClickHouse‑based ad‑hoc analysis to a Lambda‑style architecture and finally to a lakehouse with generic incremental compute, cutting architecture complexity, resource and development costs by one‑third while delivering second‑level queries over trillions of rows.

Big DataClickHouseData Architecture
0 likes · 21 min read
How Xiaohongshu Evolved Its Data Architecture for the Big AI Data Era
DataFunTalk
DataFunTalk
May 22, 2026 · Big Data

How Xiaohongshu Cut Data Architecture Complexity and Cost by One‑Third in the Big AI Data Era

The article details Xiaohongshu's evolution from a simple ClickHouse‑based analytics layer to a Lambda‑enabled 2.0 stack and finally a Lakehouse‑based 3.0 architecture, showing how each iteration reduced infrastructure complexity, resource consumption and development effort by roughly one‑third while supporting trillions of daily events and AI‑driven use cases.

Big DataClickHouseData Architecture
0 likes · 21 min read
How Xiaohongshu Cut Data Architecture Complexity and Cost by One‑Third in the Big AI Data Era
DataFunTalk
DataFunTalk
May 11, 2026 · Big Data

How Xiaohongshu Re‑engineered Its Data Architecture for the Big AI Data Era

Xiaohongshu transformed its data platform from a simple ClickHouse‑based ad‑hoc analysis to a Lambda‑style architecture and finally to a lakehouse built on Iceberg, StarRocks, Flink and Spark, cutting architecture complexity, resource and development costs by two‑thirds while supporting trillions of daily events with sub‑second query latency.

Big DataClickHouseFlink
0 likes · 22 min read
How Xiaohongshu Re‑engineered Its Data Architecture for the Big AI Data Era
DataFunTalk
DataFunTalk
May 6, 2026 · Big Data

How Xiaohongshu Evolved Its Data Architecture for the Big AI Data Era

The article details Xiaohongshu's four‑stage data‑platform evolution—from a simple ClickHouse ad‑hoc setup to a Lambda‑based 2.0 design and finally a lakehouse‑driven 3.0 architecture—highlighting the adoption of general incremental compute, cost‑reduction to one‑third, performance gains of up to ten‑fold, and the SPOT standards that guide the new system.

Big DataClickHouseData Architecture
0 likes · 21 min read
How Xiaohongshu Evolved Its Data Architecture for the Big AI Data Era
DataFunTalk
DataFunTalk
Apr 29, 2026 · Big Data

How Xiaohongshu Revamped Its Data Architecture for the Big AI Data Era

Xiaohongshu transformed its data platform from a simple ClickHouse‑based analytics stack to a unified lakehouse with generic incremental compute, cutting architecture complexity, resource cost, and development effort by roughly one‑third while supporting petabyte‑scale, sub‑second queries across its 350 million‑user app.

Big DataClickHouseData Architecture
0 likes · 22 min read
How Xiaohongshu Revamped Its Data Architecture for the Big AI Data Era
DataFunTalk
DataFunTalk
Apr 22, 2026 · Industry Insights

How Xiaohongshu Cut Data Platform Costs by Two‑Thirds with Incremental Computing

This article details Xiaohongshu's journey from a ClickHouse‑based batch analytics stack to a unified lakehouse architecture powered by generic incremental computing, showing how the company reduced architecture complexity, resource consumption and development effort each to roughly one‑third while supporting trillions of daily events with sub‑10‑second query latency.

Big DataData ArchitectureLakehouse
0 likes · 24 min read
How Xiaohongshu Cut Data Platform Costs by Two‑Thirds with Incremental Computing
DataFunTalk
DataFunTalk
Apr 16, 2026 · Big Data

How Xiaohongshu Cut Data Architecture Costs by Two‑Thirds with Incremental Computing

This article details Xiaohongshu's data platform evolution from a simple ClickHouse‑based ad‑hoc system to a Lambda‑style architecture and finally a lakehouse solution, highlighting how the adoption of a new incremental computing model reduced architectural complexity, resource consumption and development effort each to roughly one‑third while delivering sub‑second query performance on petabyte‑scale data.

Big DataData ArchitectureLakehouse
0 likes · 21 min read
How Xiaohongshu Cut Data Architecture Costs by Two‑Thirds with Incremental Computing
DataFunTalk
DataFunTalk
Apr 10, 2026 · Big Data

How Xiaohongshu Cut Data Architecture Costs by Two‑Thirds with Incremental Computing

This article analyzes Xiaohongshu's data platform evolution—from a simple ClickHouse‑based analytics layer to a Lambda architecture and finally a lakehouse design—highlighting how adopting a new incremental computing model reduced architecture complexity, resource consumption, and development effort each to roughly one‑third while delivering sub‑second query performance on petabyte‑scale data.

Big DataData ArchitectureLakehouse
0 likes · 22 min read
How Xiaohongshu Cut Data Architecture Costs by Two‑Thirds with Incremental Computing
AI Open-Source Efficiency Guide
AI Open-Source Efficiency Guide
Mar 29, 2026 · Artificial Intelligence

12000‑Star baoyu-skills: One‑Click AI Toolkit for Xiaohongshu Covers, Infographics & Slides

The baoyu-skills library for Claude Code, now with over 12,000 GitHub stars, provides modular AI‑driven commands that let users generate Xiaohongshu post covers, professional infographics, and slide images in a single step, supporting multiple platforms, customizable styles, and automatic updates.

AI generationAutomationClaude Code
0 likes · 10 min read
12000‑Star baoyu-skills: One‑Click AI Toolkit for Xiaohongshu Covers, Infographics & Slides
Old Meng AI Explorer
Old Meng AI Explorer
Jan 13, 2026 · Artificial Intelligence

How an Open‑Source AI Tool Turns Xiaohongshu Posts into Viral Hits

The open‑source Xiaohongshu MCP (Multi‑Channel Publisher) leverages AI to predict hot topics, auto‑generate copy, titles and tags, monitor performance, analyze competitors, and manage multiple accounts, enabling creators to boost followers from a few hundred to thousands without costly subscriptions, with step‑by‑step deployment instructions and a free GitHub repository.

AIContent GenerationPython
0 likes · 11 min read
How an Open‑Source AI Tool Turns Xiaohongshu Posts into Viral Hits
Old Meng AI Explorer
Old Meng AI Explorer
Dec 10, 2025 · Operations

How Spider_XHS Turns Xiaohongshu Data Collection into a 10× Efficiency Boost

Spider_XHS is an open‑source Xiaohongshu crawler that automates note, user, comment, and message extraction, offers watermark‑free media downloads, exports structured Excel/JSON data, integrates with the creator platform, and includes proxy and anti‑ban features, enabling marketers and researchers to cut weeks of manual work into hours.

AutomationOpen-sourceWeb Scraping
0 likes · 10 min read
How Spider_XHS Turns Xiaohongshu Data Collection into a 10× Efficiency Boost
Old Meng AI Explorer
Old Meng AI Explorer
Nov 18, 2025 · Artificial Intelligence

How an Open‑Source AI Tool Turns Xiaohongshu Posts into Viral Hits

The open‑source Xiaohongshu MCP (Multi‑Channel Publisher) leverages AI to predict high‑traffic topics, auto‑generate copy, titles and tags, monitor performance, analyze competitors, and manage multiple accounts, enabling creators to boost followers from a few hundred to thousands without costly subscriptions.

AIContent GenerationSocial Media Automation
0 likes · 12 min read
How an Open‑Source AI Tool Turns Xiaohongshu Posts into Viral Hits
Tech Minimalism
Tech Minimalism
Nov 13, 2025 · Operations

Automate Hand‑Drawn Doodle Xiaohongshu Covers Using n8n

This guide walks you through building an n8n workflow that automatically generates hand‑drawn doodle‑style covers for Xiaohongshu posts by configuring Volcano Engine and Zhipu AI services, creating API keys, and chaining chat, prompt, HTTP, and download nodes into a seamless design pipeline.

AI image generationVolcano EngineWorkflow Automation
0 likes · 6 min read
Automate Hand‑Drawn Doodle Xiaohongshu Covers Using n8n
DataFunSummit
DataFunSummit
Nov 10, 2025 · Big Data

How Xiaohongshu Cut Data Architecture Costs by One‑Third with Incremental Computing

This article explains how Xiaohongshu, a lifestyle community with over 350 million monthly users, transformed its data platform from a traditional Lambda architecture to a next‑generation incremental computing model, reducing architectural complexity, resource consumption and development effort each by roughly two‑thirds while supporting massive real‑time and offline data demands.

AIBig DataCloud Migration
0 likes · 6 min read
How Xiaohongshu Cut Data Architecture Costs by One‑Third with Incremental Computing
HyperAI Super Neural
HyperAI Super Neural
Oct 8, 2025 · Artificial Intelligence

From WeChat’s AI Podcast Trial to Google, ByteDance and Xiaohongshu: Can AI Podcasts Capture the Emerging AIGC Blue Ocean?

The article examines how breakthroughs in large language models and high‑fidelity TTS are powering AI‑generated podcasts, analyzes the technical advances behind the "human‑like" sound, surveys major players such as Google, ByteDance, Xiaohongshu and startups, and evaluates the market potential of this rapidly expanding AIGC niche.

AI podcastAIGCByteDance
0 likes · 9 min read
From WeChat’s AI Podcast Trial to Google, ByteDance and Xiaohongshu: Can AI Podcasts Capture the Emerging AIGC Blue Ocean?
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Oct 8, 2025 · Backend Development

Build a One‑Click XiaoHongShu Publishing System with Backend APIs and JS SDK

This article describes how to replace manual copy‑paste publishing on XiaoHongShu with a unified content‑management backend, share‑link generation, signature authentication, and a single‑click JavaScript SDK call that lets operators publish notes instantly across multiple accounts, dramatically improving efficiency and reducing errors.

AutomationContent PublishingXiaohongshu
0 likes · 32 min read
Build a One‑Click XiaoHongShu Publishing System with Backend APIs and JS SDK
Java Tech Enthusiast
Java Tech Enthusiast
Aug 29, 2025 · Backend Development

Xiaohongshu Autumn 2024 Tech Interview Guide: Salary, Questions & Tips

This article outlines Xiaohongshu's 2024 autumn recruitment details, salary ranges for different offer tiers, work‑schedule changes, and provides in‑depth answers to common backend interview questions covering Redis performance, HTTP vs RPC, virtual memory layout, Go's GMP model, coroutine advantages, C++ class size, diamond inheritance, static variables, core‑dump analysis, and a median‑finding algorithm challenge.

C#GoRedis
0 likes · 19 min read
Xiaohongshu Autumn 2024 Tech Interview Guide: Salary, Questions & Tips
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 29, 2025 · Big Data

Big Data Interview Preparation: Data Governance, Iceberg Metadata, Lakehouse Best Practices, and Xiaohongshu HR Updates

The article reports Xiaohongshu’s cancellation of the big‑small week schedule and non‑compete clause, then provides a collection of big‑data interview questions—including data governance, Iceberg metadata management, and lakehouse production best practices—along with concise answers and resources for candidates.

Data GovernanceIcebergLakehouse
0 likes · 7 min read
Big Data Interview Preparation: Data Governance, Iceberg Metadata, Lakehouse Best Practices, and Xiaohongshu HR Updates
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jan 20, 2025 · Industry Insights

Can Xiaohongshu + DeepSeek Overturn Baidu? A Hard‑Core Social + AI Showdown

The article analyzes how Xiaohongshu’s youthful, content‑rich community combined with DeepSeek’s real‑time, transparent, conversational AI could challenge Baidu’s search dominance by offering personalized, socially integrated experiences, while also examining the partnership’s business model, technical strengths, and the uncertainties that remain.

AIBaiduDeepSeek
0 likes · 12 min read
Can Xiaohongshu + DeepSeek Overturn Baidu? A Hard‑Core Social + AI Showdown
DataFunTalk
DataFunTalk
Jan 16, 2025 · Artificial Intelligence

Challenges and Opportunities for Xiaohongshu’s Recommendation System Amid TikTok User Influx

The potential ban of TikTok has driven a wave of users to Xiaohongshu, prompting rapid growth but also exposing language, regulatory, and recommendation algorithm challenges that require AI‑driven translation, multi‑language moderation, and a revamped recommendation engine to sustain the platform’s expansion.

AI translationXiaohongshucontent moderation
0 likes · 7 min read
Challenges and Opportunities for Xiaohongshu’s Recommendation System Amid TikTok User Influx
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Oct 9, 2024 · Operations

AIOps Implementation at Xiaohongshu: Fault Localization and Intelligent Operations

Xiaohongshu’s AIOps initiative builds a four‑layer framework that leverages machine‑learning‑driven anomaly detection, causal analysis, and trace‑based fault localization to automatically identify root‑cause services in micro‑service environments, achieving over 80 % accuracy across 1000 daily diagnoses while guiding future enhancements in change correlation and automated remediation.

AIOpsAnomaly DetectionFault Localization
0 likes · 28 min read
AIOps Implementation at Xiaohongshu: Fault Localization and Intelligent Operations
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Aug 23, 2024 · Artificial Intelligence

Xiaohongshu REDtech Live: Presentation of Recent Top‑Conference Papers (Recruitment Session)

On August 24, 2024, Xiaohongshu’s technical team will livestream a four‑hour REDtech session across WeChat Channels, its recruitment account, and Bilibili, showcasing recent top‑conference papers—from ACL and CVPR to ICLR and AAAI—covering innovations such as KV‑cache compression, zero‑shot image generation, early‑stopping self‑consistency, negative‑sample‑aware distillation, and real‑time nearest‑neighbor search, while allowing live interaction and offering surprise merchandise.

AIConference PapersLive Streaming
0 likes · 18 min read
Xiaohongshu REDtech Live: Presentation of Recent Top‑Conference Papers (Recruitment Session)
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Jun 17, 2024 · Artificial Intelligence

Xiaohongshu Audio-Video Architecture Team Wins Top Awards in CVPR NTIRE 2024 Challenges

Xiaohongshu’s audio‑video architecture team secured second place in the RAIM challenge and first in the S‑UGC VQA challenge at CVPR NTIRE 2024 by improving generative image restoration with SUPIR, DeSRA and a Fusion model, and enhancing video quality assessment using LIQE, Q‑Align and FAST‑VQA, then deploying these methods for live‑stream denoising, intelligent transcoding and cloud‑based super‑resolution, achieving high PLCC/SROCC scores and up to 33 % bandwidth savings.

AICVPR NTIRE 2024Deep Learning
0 likes · 25 min read
Xiaohongshu Audio-Video Architecture Team Wins Top Awards in CVPR NTIRE 2024 Challenges
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
May 31, 2024 · Frontend Development

REDtech Salon: Frontier Exploration of WebGPU and Interactive Rendering Technologies

The REDtech Salon in Shanghai showcased WebGPU and interactive rendering advances, with W3C’s François Daoust demonstrating WebCodecs, Streams, and GPU‑accelerated video processing, while Xiaohongshu’s Huang Yuejia and Wang Ning highlighted business‑driving projects, migration from WebGL to WebGPU, and future AR‑enabled frontend innovations.

Interactive RenderingStreams APIW3C
0 likes · 8 min read
REDtech Salon: Frontier Exploration of WebGPU and Interactive Rendering Technologies
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Jan 20, 2024 · Artificial Intelligence

Decoding Xiaohongshu’s Recommendation System: How Ordinary Users Gain Visibility

Xiaohongshu’s recommendation system uses large‑scale multimodal embeddings, dual‑tower and graph models, and diversity techniques like DPP and SSD to quickly surface high‑quality user‑generated content, enabling ordinary users to gain visibility while balancing personalization, exploration, and efficient LLM‑augmented pipelines.

Large Language ModelsMultimodal AIXiaohongshu
0 likes · 15 min read
Decoding Xiaohongshu’s Recommendation System: How Ordinary Users Gain Visibility
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Dec 4, 2023 · Artificial Intelligence

Xiaohongshu Search Engine Innovations Presented at SIGIR-AP 2023

At SIGIR‑AP 2023 in Beijing, Xiaohongshu’s technical team unveiled four key innovations—advanced user‑intent analysis via multi‑stage LLM pre‑training, multimodal vector retrieval, generative inverted‑index enhancements, and a three‑stage relevance‑ranking pipeline with knowledge distillation—to tackle high multi‑intent, long‑tail, and multimodal search challenges for its 260 million‑user platform.

SIGIR-APSearch EngineVector Retrieval
0 likes · 13 min read
Xiaohongshu Search Engine Innovations Presented at SIGIR-AP 2023
DataFunTalk
DataFunTalk
Dec 1, 2023 · Artificial Intelligence

GPU‑Driven Model Service and Optimization Practices in Xiaohongshu's Search Scenario

This article details Xiaohongshu's end‑to‑end GPU‑centric transformation for search‑related machine‑learning models, covering model characteristics, training and inference frameworks, system‑level GPU and CPU optimizations, multi‑card and compilation techniques, and future directions for scaling large sparse and dense models.

GPU OptimizationTrainingXiaohongshu
0 likes · 16 min read
GPU‑Driven Model Service and Optimization Practices in Xiaohongshu's Search Scenario
DataFunSummit
DataFunSummit
Sep 12, 2023 · Backend Development

Xiaohongshu Recommendation Engineering Architecture: Graph Architecture, Hot Deployment, and Practices

This article presents Xiaohongshu's evolving recommendation engineering architecture, detailing its modular backend design, graph-based Ark framework, hot deployment mechanisms, and the challenges and solutions for scaling personalized content delivery in a fast‑growing mobile platform.

Hot DeploymentScalable SystemsXiaohongshu
0 likes · 13 min read
Xiaohongshu Recommendation Engineering Architecture: Graph Architecture, Hot Deployment, and Practices
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Mar 16, 2023 · Industry Insights

How Xiaohongshu Secured a Top Spot in Shanghai’s “Panshi” Cybersecurity Drill

On March 10, Shanghai’s telecom and internet regulators held a summary conference for the 2022 “Panshi Action” cyber‑attack‑defense drill, where Xiaohongshu ranked third among 123 defending teams, earning awards for excellence and progress while showcasing its incident‑response and traceability capabilities.

ShanghaiXiaohongshuattack-defense drill
0 likes · 4 min read
How Xiaohongshu Secured a Top Spot in Shanghai’s “Panshi” Cybersecurity Drill
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Nov 11, 2022 · Artificial Intelligence

Large-Scale Deep Learning Systems and Their Application at Xiaohongshu (RED)

Xiaohongshu’s in‑house LarC platform powers real‑time, multimodal recommendation, life‑search, and generative‑AI commercial content for its 200 million‑user community by processing billions of daily feedback samples, employing conflict‑free parameter servers, diversified sequence modeling, and large‑scale representation learning to deliver personalized, fresh, and diverse user experiences.

AI InfrastructureMachine Learning PlatformMultimodal AI
0 likes · 13 min read
Large-Scale Deep Learning Systems and Their Application at Xiaohongshu (RED)
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Oct 14, 2022 · Artificial Intelligence

Machine Learning Frameworks in Industrial Applications: Challenges and Prospects

The talk highlighted how mainstream deep‑learning frameworks such as TensorFlow and PyTorch lower entry barriers, yet fast‑growing industrial platforms like Xiaohongshu face unique timeliness and sparse‑data challenges that often demand custom frameworks, prompting discussion of developer preparation, hardware optimization, and the distinct innovations of domestic versus foreign solutions.

AIDeep Learning FrameworksOneFlow
0 likes · 6 min read
Machine Learning Frameworks in Industrial Applications: Challenges and Prospects
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Sep 8, 2022 · Frontend Development

Technical Overview of Xiaohongshu Mini‑App Runtime Architecture and Engineering

The Xiaohongshu mini‑app runtime uses a dual‑thread container separating a Render UI layer and a Service logic layer, linked by a serialized Bridge, with unified iOS/Android containers, Webpack‑based build outputs, priority‑queued messaging, pre‑loading, and AOP performance monitoring to provide fast, scalable, merchant‑focused mini‑apps.

Mini AppPerformance OptimizationRuntime Architecture
0 likes · 17 min read
Technical Overview of Xiaohongshu Mini‑App Runtime Architecture and Engineering
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Jul 4, 2022 · Databases

RedKV: Xiaohongshu's Distributed NoSQL KV Storage System

RedKV, Xiaohongshu’s self‑developed distributed NoSQL key‑value store, combines a Redis‑compatible interface, RocksDB‑backed storage, and a shard‑managed multi‑cloud architecture that delivers three‑times higher write throughput, 1.5‑times read throughput, 40 % cost savings versus HBase, and sub‑5 ms P999 latency for petabyte‑scale workloads.

DatabaseDistributed KVLZ4 compression
0 likes · 25 min read
RedKV: Xiaohongshu's Distributed NoSQL KV Storage System
Laravel Tech Community
Laravel Tech Community
Dec 28, 2021 · Information Security

Investigation Reveals XiaoHongShu Platform’s Exposure of Minors’ Privacy and Inadequate Content Moderation

A recent investigation uncovers how the XiaoHongShu app repeatedly pushes videos that expose minors’ personal privacy, featuring inadequate content review, legal concerns, and platform apologies, while highlighting new network protection regulations and the company's pledged actions to curb such violations.

Xiaohongshucontent moderationinformation security
0 likes · 6 min read
Investigation Reveals XiaoHongShu Platform’s Exposure of Minors’ Privacy and Inadequate Content Moderation
Tencent Cloud Developer
Tencent Cloud Developer
Nov 22, 2021 · Cloud Native

Xiaohongshu Service Mesh Deployment and Aeraki Component Optimization

Join Xiaohongshu’s cloud‑native engineer Wang Chengcheng on November 23 for a 45‑minute talk and Q&A about the company’s Service Mesh evolution, Istio adaptation, Aeraki production optimizations, large‑scale deployment experiences, and practical strategies for deploying community Istio in production.

AerakiCloud NativeIstio
0 likes · 3 min read
Xiaohongshu Service Mesh Deployment and Aeraki Component Optimization
Python Programming Learning Circle
Python Programming Learning Circle
Oct 16, 2019 · Product Management

What Happened to Xiaohongshu? Inside the Data Behind Its 77‑Day Removal

The article analyzes Xiaohongshu’s 77‑day removal, showing a sharp drop in total active users and DAU, a partial rebound driven by loyal users, the scramble for alternative download sources, opportunistic third‑party sellers, and emerging competitors, while highlighting the product‑management challenges of such a disruption.

Mobile AppProduct ManagementUser Retention
0 likes · 11 min read
What Happened to Xiaohongshu? Inside the Data Behind Its 77‑Day Removal