# 雷子AI工具箱 (@雷子AI工具箱) on wechat

- id: koinon:creator:wechat_雷子ai工具箱
- url: https://koinonlink.com/kol/wechat/%E9%9B%B7%E5%AD%90AI%E5%B7%A5%E5%85%B7%E7%AE%B1
- schema_version: 1.4

## Identity
- platform: wechat
- handle: 雷子AI工具箱
- platform_url: https://weixin.sogou.com/weixin?type=1&query=%E9%9B%B7%E5%AD%90AI%E5%B7%A5%E5%85%B7%E7%AE%B1
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- posts_observed: 45
- verified: false
- size_tier: nano

## Engagement
- status: not_measurable_on_platform
- status_note: This platform publishes no follower count, so an engagement RATE has no denominator here. No amount of further collection can produce one — it is a property of the platform, not a gap in our data.
- 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: 0.96
- category_source: derived_from_recent_content
- topics: AI工具推荐, GitHub开源项目, AI编程助手与代码审查, Agent搭建与记忆中枢, RAG系统优化

## Audience (inferred)
- status: present
- description: AI developers, programmers, and Agent/RAG builders—technical practitioners primarily using open-source tools on GitHub
- roles: dev
- seniority: practitioner
- pain_points: Difficulty finding high-quality, practical AI open-source tools and GitHub projects, High overhead from AI Agent containers, memory usage, and RAG systems, Challenges integrating code reviews and AI coding assistants, AI assistant memory loss and unstable context management
- posts_analysed: 8
- confidence: 0.4

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

## Quality signals
- authenticity_score: 60
- authenticity_basis: platform_default
- 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
- [wechat_雷子ai工具箱#e7ebe946] 【AI工具推荐】你的AI编程助手终于有浏览器用了!GitHub 2天涨2400星 (https://weixin.sogou.com/weixin?type=1&query=%E9%9B%B7%E5%AD%90AI%E5%B7%A5%E5%85%B7%E7%AE%B1)
- [wechat_雷子ai工具箱#3b0b3cc8] 【AI工具推荐】阿里开源CodeReview神器!国产AI代码审查来了,GitHub 2天狂飙4000星
- [wechat_雷子ai工具箱#c26f8738] 【AI工具推荐】Cloudflare开源了一个＂异类＂:别给AI Agent配容器了,给它一台电脑
- [wechat_雷子ai工具箱#6a9a7224] 【AI工具推荐】2.7万星!GitHub这个开源工具,把你的技术书变成AI的＂超能力＂
- [wechat_雷子ai工具箱#54803a7f] 【AI工具推荐】4.5万星!GitHub这个开源怪物,把你的AI编程助手变成了一整个视频制作公司
- [wechat_雷子ai工具箱#abc80f06] 【AI工具推荐】2万星!GitHub这个开源Skill,57道关卡专治AI网页的＂一眼假＂
- [wechat_雷子ai工具箱#1f34dbe7] 【AI工具推荐】31GB向量索引被压缩到4GB!这个Google开源算法,让RAG系统的内存开销直接打骨折
- [wechat_雷子ai工具箱#9f5adba4] 【AI工具推荐】1.5万星!腾讯开源的Agent记忆中枢,让你的AI助手终于不再＂失忆＂了

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=57, 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=57, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=39, 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=57, method=Fixed value 60. This platform exposes no public follower count, so no authenticity heuristic is run at all. The number is a placeholder, 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=39, 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=39, method=platform_profile

## Freshness
- profile_checked_days_ago: 39
- content_analysed_days_ago: 57
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 12
- user_triggered_requests: 0
- 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=wechat_%E9%9B%B7%E5%AD%90ai%E5%B7%A5%E5%85%B7%E7%AE%B1
- Request removal: https://koinonlink.com/claim?k=wechat_%E9%9B%B7%E5%AD%90ai%E5%B7%A5%E5%85%B7%E7%AE%B1
- Terms: https://koinonlink.com/for-ai