简历中必须避免的错误
发送了367封冷邮件 → 21次电话面试 → 5个offer（包括FAANG公司）。
以下是我学到的几点：
1. 项目 > 学历
停止以计算机科学学位为主导。你部署的应用程序和实际用户比3.9的GPA更重要。
2. 具体说明影响
不好的例子：“参与了后端服务的开发”
好的例子：“优化了PostgreSQL查询，将API响应时间从800毫秒减少到150毫秒”
3. 指标很重要（即使是小指标）
没有百万用户？没问题。“实现了95%的测试覆盖率”或“将构建时间减少了40%”显示出你在衡量重要的事情。
4. 匹配他们的技术栈
申请React职位？优先展示你的React项目。他们的ATS（申请跟踪系统）实际上是在搜索关键词。让这一切变得简单。
5. 细节 = 可信度
“JavaScript”还是“JS”或“javascript”？选择一个。在一页文档中的不一致性 = 代码质量的红旗。
“撒网式”方法已经不再有效。质量 > 数量。
我创建了Careerkit.me来自动化简历优化，帮助我获得这些offer。它是免费的，不需要信用卡。
你有哪些简历“规则”实际上对你有效？
查看原文
Sent 367 cold emails → 21 phone screens → 5 offers (including FAANG).<p>Here's what I learned:<p>1. Projects > Education
Stop leading with your CS degree. Your deployed app with actual users matters more than your 3.9 GPA.<p>2. Be Specific About Impact
Bad: "Worked on backend services"
Good: "Optimized PostgreSQL queries reducing API response time from 800ms to 150ms"<p>3. Metrics Matter (Even Small Ones)
No million users? No problem. "Achieved 95% test coverage" or "Reduced build time by 40%" shows you measure what matters.<p>4. Match Their Tech Stack
React role? Lead with React projects. Their ATS is literally searching for keywords. Make it easy.<p>5. Details = Credibility
"JavaScript" or "JS" or "javascript"? Pick one. Inconsistency in a 1-page doc = red flag about code quality.
The "spray and pray" approach doesn't work anymore. Quality > quantity.<p>Built Careerkit.me to automate the resume optimization that helped me land these offers. It's free, no CC required.<p>What resume "rules" have actually worked for you?