# 同学考研加油 (@同学考研加油) on wechat

- id: koinon:creator:wechat_同学考研加油
- url: https://koinonlink.com/kol/wechat/%E5%90%8C%E5%AD%A6%E8%80%83%E7%A0%94%E5%8A%A0%E6%B2%B9
- schema_version: 1.4

## Identity
- platform: wechat
- handle: 同学考研加油
- platform_url: https://weixin.sogou.com/weixin?type=1&query=%E5%90%8C%E5%AD%A6%E8%80%83%E7%A0%94%E5%8A%A0%E6%B2%B9
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- posts_observed: 15
- 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: 0.95
- category_source: derived_from_recent_content
- topics: AI tools for academic research, Literature discovery and gap analysis, AI agents in scientific workflows, Open-source AI research tools, Cross-language academic search

## Audience (inferred)
- status: present
- description: Graduate students and early-career researchers in STEM fields, primarily focused on using AI tools to accelerate academic research and literature discovery
- roles: none
- seniority: practitioner
- pain_points: Struggling to efficiently find relevant and high-quality academic papers within a specific research niche, Having difficulty identifying research gaps and emerging trends in their field, Failing to integrate AI tools into their research workflow due to lack of clear guidance or open-source examples, Spending excessive time on manual literature review and data synthesis
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.8
- 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_同学考研加油#14f1a6d7] 每周AI工具|ResearchRabbit:怎样沿着引用网络找到真正相关的论文和研究团队? (https://weixin.sogou.com/weixin?type=1&query=%E5%90%8C%E5%AD%A6%E8%80%83%E7%A0%94%E5%8A%A0%E6%B2%B9)
- [wechat_同学考研加油#64495aff] 每周AI工具 | DeepSeek Harness 开源:把 Agent 的源代码第一次摊给你看
- [wechat_同学考研加油#05cd13d6] 每周自由发挥|AI原生仪器:怎样把计算、实验和设备控制接成可验收的科研闭环?
- [wechat_同学考研加油#950faa02] 每周AI工具|Undermind:让AI替你完成深度文献调研与研究空白发现
- [wechat_同学考研加油#e50a1dc0] 每周AI工具|Felo:从跨语言文献检索到带来源研究报告和组会PPT

## 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=12, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=12, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=12, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=12, 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=12, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=9, 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=12, 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=9, 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=9, method=platform_profile

## Freshness
- profile_checked_days_ago: 9
- content_analysed_days_ago: 12
- audience_updated_days_ago: 12

## AI retrieval
- indexing_requests: 4
- 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_%E5%90%8C%E5%AD%A6%E8%80%83%E7%A0%94%E5%8A%A0%E6%B2%B9
- Request removal: https://koinonlink.com/claim?k=wechat_%E5%90%8C%E5%AD%A6%E8%80%83%E7%A0%94%E5%8A%A0%E6%B2%B9
- Terms: https://koinonlink.com/for-ai