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I built Viewlify to spot which TikTok videos outperform their creator's average

I kept guessing which TikTok videos were actually breaking out vs. just riding a big account. So I built Viewlify: it compares each video to the creator's own average, so you see relative outperformance instead of raw views. It's free to try, and it's live on Product Hunt today . I'd love honest feedback: what's missing, what's confusing, what would make you use it weekly? Happy to answer anything about how I built it. submitted by /u/B3N0U [link] [comments]

五维评分

付费意愿
30
需求真实度
45
个人可落地
85
竞争空间
35
新鲜度
55

AI 分析

痛点:无法判断一条TikTok视频到底是真爆款,还是单纯依靠大号流量带来的虚高表现;缺少“相对该创作者自身均值”的对比视角

目标用户:TikTok创作者、MCN机构、达人营销与UGC投放团队、品牌社媒运营

证据:I kept guessing which TikTok videos were actually breaking out vs. just riding a big account. / It's free to try ... what would make you use it weekly?

变现:免费试用后转为订阅制(约$9–29/月),按追踪创作者数量、视频条数和历史回溯深度分级;为MCN和投放机构提供团队席位及白标导出

MVP:输入TikTok创作者主页链接,抓取近30条视频播放量,计算均值与中位数,自动标出超过均值2倍及以上的“outlier”视频并排序;每周邮件推送追踪账号的新晋爆款榜单

竞品:Kalodata、FastMoss、TrendTok、Tokchart

摘要:开发者自建 Viewlify,用“相对创作者自身均值”的方式判断TikTok视频是否真正跑出超额表现,而不是看绝对播放量,目前免费试用并在Product Hunt上线,主动征集每周使用场景的反馈。帖子只有作者自述痛点,没有价格、收入或用户付费证据,且TikTok数据分析赛道已有Kalodata、FastMoss等成熟玩家,机会属于可快速验证的小众切入点。