Bolun Liu (小包子)

For firms that sell time, admin is unbilled revenue. Here's the capacity leak I close — fast. 对靠时间计费的公司来说，行政杂务就是流失的收入。这是我要堵住的产能漏洞——快速落地。

• 01 — Redoing work already done. The prior version exists, but nobody can find it — so skilled people rebuild from scratch. Billable hours spent re-producing what the firm already owned. 重复劳动：明明做过一次，却没人找得到——只能让熟手从头再做。宝贵的可计费工时，花在重造公司早就有的东西上。
• 02 — Knowledge trapped in one head. Pricing logic, how a difficult client gets handled, the workaround for the late supplier — never written down, and gone the moment that person is out. 知识锁在一个人脑子里：定价逻辑、难缠客户怎么应对、供应商延误怎么绕过——从没被写下来，人一不在就全没了。
• 03 — One person is the ceiling. Everything routes through the founder or a single knowledge-holder — who becomes both the bottleneck and the cap on how fast anyone else can work. 一个人成了天花板：所有事都要过创始人或某个“万事通”——他既是瓶颈，也是团队所有人工作速度的上限。

• Anchor result — a firm's capacity, quantified. 4 consultants, ~700 billable-capacity hours a month, ~60% burned on admin. The goal they set: flip it — recover ~140 hours a month back to client work. 标杆案例——把一家公司的产能算清楚：4名顾问，每月约700个可计费产能小时，约60%烧在行政杂务上。他们定的目标：翻转它——每月夺回约140小时投入客户工作。
• Paid delivery across five industries. Consulting, financial services, family offices, logistics, education — knowledge retrieval, BI & analytics, document automation, custom dashboards, AI assistants. 已在五个行业交付付费项目：咨询、金融服务、家族办公室、物流、教育——知识检索、BI与数据分析、文档自动化、定制仪表板、AI助手。
• Every build is owned by the client — and shipped by a non-developer. Code, data, infrastructure — all theirs, no SaaS lock-in. Production systems delivered end-to-end on process discipline, not a coding pedigree. 每个系统的产权都归客户——代码、数据、基础设施，全部归客户，没有SaaS绑定。以非技术背景独立交付生产级系统：靠的是流程纪律，不是编程科班。

• The Data Process Thinking Method. Mapping invisible micro-processes before a single tool is chosen — that's where most projects die. 数据过程思维法：在选工具前，先把那些被忽略的微流程摊开。
• What actually moves SME margin. Empirical operations, not framework theatre. Real workflows, real bottlenecks, real numbers. SME运营中真正撬动利润的杠杆——基于经验，不是借来的框架。
• Why most AI projects fail before line one of code. The interesting failures aren't technical — they're conceptual. 真正有趣的失败不是技术失败——是概念失败。多数AI项目在第一行代码前已经输了。

• B2B service partners who own client relationships. Marketing agencies, consultants, coaches — they bring the trust, I am their build-side backend. 拥有客户关系的B2B服务合伙人——他们是前线，我是技术后端。
• Marketing & ops leaders inside SMEs. Tasked with "make us more efficient with AI" — they need a real operator, not a tool list. SME内部的营销与运营负责人——被要求"用AI提效"，但需要的是操盘手，不是工具清单。
• Thinkers who commit slowly and follow through completely. People who consider before they speak. Visible intelligence in the eyes. 慢承诺、稳交付的独立思考者。看一眼就知道是不是同类人。