# 开源项目盘点 (@27493116856) on xiaohongshu

- id: koinon:creator:xiaohongshu_27493116856
- url: https://koinonlink.com/kol/xiaohongshu/27493116856
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: 27493116856
- platform_url: https://www.xiaohongshu.com/user/profile/683faa0c000000001b01a4ba
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 27700
- posts_observed: 6
- verified: false
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.25798
- best_post_interactions: 7146
- measurement_source: cn_posts_max
- measurement_formula: likes + comments + shares (douyin) or likes + comments + collects (xiaohongshu), max over observed posts
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: ai_tools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: AI编程工具与Cursor增强, 开源AI模型与项目盘点, Agent自动化开发, 视频/语音生成工具, 效率工具与本地部署
- bio: 专注效率工具｜AI工具｜开源项目｜技术干货。各行各业实用的软件工具分享

## Audience (inferred)
- status: present
- description: AI programming and open-source tool users, primarily programmers, developers, and tech professionals
- roles: dev
- seniority: practitioner
- pain_points: High AI programming token consumption with excessive noise, Complex management of multi-model switching and invocation, Difficulty maintaining consistency in video/content generation, Inability to run large models locally on older hardware
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 70
- authenticity_basis: engagement_observed
- credibility_score: 58
- 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_27493116856#32691245] 英伟达开源的AI视觉模型，快速精准定位目标 / #AI视觉模型[话题]#  #英伟达[话题]#  #AI工具推荐[话题]#  #目标检测[话题]#  #AI自动化[话题]#  #开源模型[话题]#  #AI干货[话题]# / 开源导演SKILL｜减少Seedance2.0 画面穿帮 / 实测适配 Seedance2.0 的开源导演提示词系统，按照实拍导演逻辑搭建框架，提前锁定人物、光影、镜头，分段生成画面更容易保持画风统一，新手自带全套模板与避坑指南。  #提示词[话题]# #开源[ / 一行CLI命令让你的Cursor能力升级 / 手把手教你用一行命令 (https://www.xiaohongshu.com/user/profile/683faa0c000000001b01a4ba)
- [xiaohongshu_27493116856#3395896e] 话题：#Cursor[话题]#  #AI编程[话题]#  #CLI / 我让AI帮我开发了个会聊天的专属播放器 / 描述需求它出计划，遇到Bug它自己修，从想法到跑通，由Ring-2.6-1T完成#AI编程[话题]# #vibecoding[话题]# #大模型[话题]# #项目开发[话题]# / 14个顶级AI模型，每月13亿Token免费用 / 这个开源工具整合了14家AI平台的免费额度，统一接口一键调用。某个模型挂了自动切换，对话期间锁定同一模型，记忆不断，每月免费领取13亿Token，程序员和普通人都能用。#大模型[话题]# #token / 一个

## 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=70, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=70, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=70, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=70, 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=70, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=100, 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=0.5, freshness_days=70, method=Starts at 60; interactions-per-follower on collected posts then adds or subtracts (large following with near-zero engagement is penalised heavily). — 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=100, method=llm_partner_fit_classifier + authenticity >= 55 AND fit_score >= 0.45 => A; authenticity >= 40 AND fit_score >= 0.3 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=100, method=platform_profile

## Freshness
- profile_checked_days_ago: 100
- content_analysed_days_ago: 70
- audience_updated_days_ago: 70

## AI retrieval
- indexing_requests: 10
- 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_27493116856
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_27493116856
- Terms: https://koinonlink.com/for-ai