# 胡二虎 Will hu🐯 (@willlhhh) on x

- id: koinon:creator:x_willlhhh
- url: https://koinonlink.com/kol/x/willlhhh
- schema_version: 1.4

## Identity
- platform: x
- handle: willlhhh
- platform_url: https://twitter.com/willlhhh
- website: https://www.linkedin.com/in/will-hu-7a5a211aa/
- country: Singapore
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2421
- following: 370
- posts_total: 1123
- posts_observed: 3
- posts_per_day: 0.694
- account_age_days: 1618
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01652
- best_post_interactions: 40
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- 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: martech
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Paid ad strategy for SaaS/tools, Keyword targeting and bidding optimization, Cross-platform ad allocation (Google, TikTok, LinkedIn, Bing, Automated growth via Agent systems, SEO and intent-based traffic acquisition, Playbook development for scalable growth
- bio: AI Growth Hacker @ManusAI & @hey_im_Monica, 在创业公司5年，出身PM，但喜欢搞野路子增长。经常用数据视角+Agent自动化跑有意思的产品增长案例

## Audience (inferred)
- status: present
- description: Growth hackers and performance marketers in early-stage SaaS or tool startups, primarily focused on outbound acquisition via paid ads and SEO with a strong emphasis on data-driven, automated experimentation
- roles: ads
- seniority: practitioner
- pain_points: Struggling to define clear ad targeting strategies across multiple platforms like TikTok, LinkedIn, and Google Search, Wasting budget on low-intent keywords or irrelevant traffic due to poor keyword selection and negative keyword setup, Lacking a repeatable, structured playbook for launching and optimizing paid campaigns for B2B or B2C tools, Having difficulty measuring true conversion value beyond surface-level metrics like 'sign-ups'
- 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: 75
- authenticity_basis: engagement_observed
- credibility_score: 75
- 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
- [x_willlhhh#f76f194c] x账号的SEO，冲！ https://t.co/VM4w90bTCX (https://twitter.com/willlhhh/status/2070770277437612224)
- [x_willlhhh#87ccf8e3] 我发现因为我对复杂代码项目不具备评估能力，所以Agent时间干的越长我觉得越爽....
- [x_willlhhh#98455e90] 出海工具投广告怎么投？省流：搜索端用关键词收割意图，社交端用素材创造需求，转化事件千万别只优化「注册」 六个核心问题的直接答案，以及一套可复用的出海工具投放 playbook——后者可直接当作 checklist 使用。 ————————— Part 1 · 六个核心问题的直接答案 1️⃣ 有什么广告可以投？一句话：Google 搜索收割存量需求，Meta / TikTok 视频创造增量需求，其余是补充。出海工具的可投类型远比想象中多，但角色完全不同——Google Search 是转化率之王，负责接住正在搜「XX software」「XX altern

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, 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=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, 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=80, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — 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=108, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 80
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 7
- 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=x_willlhhh
- Request removal: https://koinonlink.com/claim?k=x_willlhhh
- Terms: https://koinonlink.com/for-ai