Reddit 方法论 — 信息源索引
本次调研整合了三个独立调研维度,共 30+ 信息源
P0 原始源(官方/技术文档)
- Reddit 2009 年开源代码(Hot/Controversial 算法公式)
- Reddit 官方帮助中心 — Karma
- Reddit 2024 透明度报告(96.4% 自动检测率)
- Evan Miller — Deriving the Reddit Formula(Wilson Score 推导)
- Amir Salihefendic — How Reddit ranking algorithms work
P1 Builder 一手经验
- Marc Lou Newsletter — How to Launch a Startup on Reddit
- Indie Hackers — Derek Pankaew 72.5 万 views 复盘
- Indie Hackers — Leadmore AI $30K MRR
- Indie Hackers — Wappkit 60 客户
- Indie Hackers — Beep 30 分钟帖 > 3 周 PH
- Indie Hackers — Saner.ai 被封 6 次
- Indie Hackers — Arthur/MediaFast $7.5K
- Indie Hackers — PostKing 42% 客户来自 Reddit
P2 专业分析
- Foundation Inc — 版主指南
- Foundation Inc — Reddit Statistics
- Search Engine Journal — Reddit Karma
- Conbersa — How Reddit Algorithm Works
- WithKarmic — Reddit SEO
- GummySearch — Case Studies
- SaaSGaps — From Reddit Alerts to $10K MRR
- Influencer Marketing Hub — Reddit Marketing
- WeAreFounders — BigIdeasDB
P3 社区讨论与营销指南
- ReddiReach — Shadow Ban 2026 指南
- KarmaGuy — Reddit Marketing Without Getting Banned
- Postiz — Reddit Karma Requirements
- Watsspace — How Reddit Algorithm Works
- Upvote.net — Reddit Algorithm
- RankMath — Reddit SEO
- Neil Patel — Reddit SEO
P4 其他参考
- Possibly Wrong — Reddit Comment Ranking
- Cornell Networks Course Blog — Reddit Ranking
- Medium — He Cracked Reddit’s Algorithm ($61K/Month)
- PainOnSocial — Pain Point Case Studies
- Startup Spells — Reddit Power Concentration
- Muchnik, Aral, Taylor (2013), Science — 投票动量正反馈研究