🤖

AI 投资建议

置信度: 高
⚠️ 谨慎进入

Market shows limited 2026 hiring growth, product has negative revenue growth and no defensible moat, and building a better version would require significant differentiation beyond simple job aggregation.

💰

财务表现

MRR$144
30天增长-28.9%
🌱 早期阶段
🏗️

可构建性

50
中等难度

TopJobsToday

可收购

新鲜FAANG职位——无需浏览，每日邮件提醒直达

👔 招聘🔗 访问官网 ↗𝕏 @stasprigodich
💰联系卖家🔍看类似产品
🤖AI 深度分析

FAANG job email alerts with $144 MRR but declining 29% monthly growth.

📊
市场规模Medium($100M-$1B) - FAANG+ hiring represents significant market, but niche focus limits total addressable market
📈
发展阶段Pre-PMF
⏱️
开发周期4-6 weeks for core features
💼
商业模式Service
🏰护城河

Minimal - Curated FAANG job data collection, potential brand association with top companies, but easily replicable

⚔️主要竞品
LinkedIn JobsIndeedCompany career pages directlyPayscale for salary data
👥目标用户是谁
  • Job seekers specifically targeting FAANG companies (Apple, Google, etc.) who want curated, high-quality job alerts without browsing multiple career sites
  • Tech professionals open to opportunities at top tech firms but not actively job hunting
💡机会
  • No salary transparency
  • No application tracking
  • No interview preparation resources
  • No company culture insights
🎯差异化方向
  • Add salary ranges using Payscale data
  • Include interview question databases
  • Create community for applicants to share experiences
  • Add skills gap analysis for target roles
📣增长渠道
Twitter promotionReddit communitiesProduct Hunt launch
🚀传播潜力

Medium - Job seekers may share with peers, but limited network effects without community features

⚠️风险
  • Market risk: Minimal hiring growth expected in 2026 per WSJ
  • Competition risk: LinkedIn dominates with 900M+ users
  • Regulatory risk: Job scraping may violate terms of service
  • Monetization risk: Difficult to charge for publicly available job data
💰定价参考
free
🚀怎么做一个类似的
复杂度
3/10
预估成本

$2,000-$5,000 for MVP (mostly development time)

核心功能
  • Automated job scraping from FAANG career pages
  • Email delivery system with daily/weekly digests
  • Basic user preference management (job types, locations)
  • Simple landing page with signup
推荐技术栈
Next.js/React frontendNode.js/Python backend for scrapingPostgreSQL for user dataResend/SendGrid for emailsTailwind CSS for styling
MVP 范围

Skip: Advanced filtering, Mobile app, Salary data integration, Application tracking

🔍SEO 关键词
FAANG jobstech job alertsdaily job emailsApple careersGoogle jobsremote FAANG positions
收入趋势
🤖 AI 收益洞察
📉趋势下跌 (0.0%)
💰日均收入$0
📊稳定性低
💡收益下滑，建议排查原因
日收入2025-12-14 → 2026-01-12
$20$13$5-$22025-12-142025-12-292026-01-12收入▲ $18▼ $0
小时收入12-27 02:00 → 01-11 22:00
$20$13$5-$202:0004:0019:0000:0022:00收入▲ $18▼ $0
技术栈
🛠️技术栈
⚛️前端
Tailwind CSSBootstrap
💳支付
Stripe
📊数据分析
Google AnalyticsPostHog
市场洞察
✨有问题？问 AI
📊同类对比
MRR$144
Top -75%
总收入$2,214
Top 6%
30天涨幅-28.9%
Top 12%
粉丝58
Top 68%
同类水平
recruiting
平均月收入$1,192
平均涨幅+1.5%
同类产品数24
🎯竞争强度
💎变现模式
📈增长动能
💰市场验证
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