# 核烁办公软件 (@95852111588) on xiaohongshu

- id: koinon:creator:xiaohongshu_95852111588
- url: https://koinonlink.com/kol/xiaohongshu/95852111588
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: 95852111588
- platform_url: https://www.xiaohongshu.com/user/profile/65eed3c1000000000d025cf3
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2000
- posts_observed: 1
- verified: true
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: devtools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: 批量PDF处理（加印章、页码、拆分、链接）, 文件和文件夹批量重命名, Word文档格式批量调整, 文件属性修改与格式转换
- bio: 用心去解决每一个简单且重复的问题。

## Audience (inferred)
- status: present
- description: Office administrators, secretaries, and other workplace executors who frequently handle large volumes of documents, primarily small to medium business users or individual professionals
- roles: automation
- seniority: practitioner
- pain_points: Manually processing PDFs and Word files one by one is time-consuming and labor-intensive, Disorganized file and folder naming makes it hard to standardize at scale, Lack of tools to quickly automate repetitive document organization tasks, Inefficient when dealing with large batches of contracts, reports, and similar documents
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: platform_default
- credibility_score: 45
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [xiaohongshu_95852111588#57d73f18] 批量给PDF文件加盖电子印章、骑缝章！ (https://www.xiaohongshu.com/user/profile/65eed3c1000000000d025cf3)
- [xiaohongshu_95852111588#a782350e] 一些重要的正式文件，例如电子合同、法律文件等，加盖电子印章、骑缝章以后，能够确保文件的安全性和正规性，打破时空限制，提升办公效率。教你批量给多个PDF文件添加电子印章、骑缝章，几秒钟快速搞定！#PD
- [xiaohongshu_95852111588#60dafa42] 教你批量给PDF添加页码
- [xiaohongshu_95852111588#96136c56] 本视频演示在 Windows 电脑端批量给多个 PDF 文件的所有页面添加页码，适合资料整理、电子书排版、合同归档和批量文档编号场景。教程会先展示处理前多个 PDF 没有页码的状态，再进入软件选择 P
- [xiaohongshu_95852111588#800a71c5] 教你批量给PDF部分页加页码
- [xiaohongshu_95852111588#41c71f07] 这个视频演示如何在 Windows 电脑上批量给多个 PDF 文件的部分页面添加页码。适合需要处理很多 PDF、只想给前几页或指定范围加页码的办公场景。流程包括查看处理前效果，进入 PDF 工具，选择
- [xiaohongshu_95852111588#273c5dd2] 教你批量拆分PDF大文件
- [xiaohongshu_95852111588#31779cbf] 这个视频演示在 Windows 电脑端批量将很多页面的 PDF 大文件拆分成多个小文件。适合审计报告、扫描资料、合同合集等多页 PDF，需要按页数分包、批量输出、统一整理的场景。流程包括进入 PDF

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=56, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=56, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=87, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=56, method=Fixed value 58, pending engagement collection. Not a measurement. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=87, method=llm_partner_fit_classifier + fit_score >= 0.5 => A; >= 0.35 => B; else C. authenticity is not an input. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=87, method=platform_profile

## Freshness
- profile_checked_days_ago: 87
- content_analysed_days_ago: 56
- audience_updated_days_ago: 56

## AI retrieval
- indexing_requests: 4
- user_triggered_requests: 1
- last_user_triggered_day: 2026-09-01
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=xiaohongshu_95852111588
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_95852111588
- Terms: https://koinonlink.com/for-ai