reddit · SideProject · 10-15 12:50 48 分 ← 返回列表

Tell it why you loved a film, show, book or game, and it finds more of exactly that (and says why)

Most "if you liked X" lists match on genre. But I never love Breaking Bad because it's "a crime drama". I love it because a decent man slowly talks himself into becoming a monster. So I built becauseiliked.com : you describe what you loved and why, in your own words, and it finds films, shows, books and games that share that . Each pick tells you which part of your "why" it matches. The video shows the core flow. Not in the video. I shipped these after recording, so th

五维评分

付费意愿

需求真实度

个人可落地

竞争空间

新鲜度

AI 分析

痛点：现有的"喜欢X就推荐Y"只按类型/标签匹配，无法理解用户真正喜欢某部作品的原因，导致推荐同类型但不对味。

目标用户：影视剧/书籍/游戏的重度爱好者，尤其是已经在用 Letterboxd、Goodreads 记录评分、对推荐质量挑剔的用户。

证据：Most "if you liked X" lists match on genre. But I never love Breaking Bad because it's "a crime drama". I love it because a decent man slowly talks himself into becoming a monster. / The best feedback I've had was someone asking for "a drama where the lead is a sarcastic stoic". It missed House and Sherlock

变现：1) 联盟分佣：推荐结果直接跳转 JustWatch/Amazon/书店购买或订阅；2) 类 Letterboxd Pro 的订阅：跨平台导入、品味档案分享、高级筛选；3) 对 Letterboxd/Goodreads/小型流媒体做推荐 API 授权。

MVP：2周MVP：一个输入框让用户用自己的话写"我为什么喜欢它"，用 LLM 抽成向量存库，在 TMDB/OpenLibrary/RAWG 公开数据集上做语义检索，输出3-5个推荐并为每条标注"匹配了你哪句话"；再用 Letterboxd/Goodreads CSV 导入做冷启动。

竞品：Letterboxd、Goodreads、TasteDive、Likewise、Netflix 推荐算法、Watchmode、Recombee

摘要：独立开发者在 r/SideProject 发布 becauseiliked.com：用户用自己的话描述"为什么喜欢"某部影视/书/游戏，系统按语义而非类型推荐，并解释每条推荐匹配了哪句话。产品免费、无广告，支持从 Letterboxd/Goodreads 导入评分，作者仅征集反馈，全文没有任何收入数据或付费意愿表述。痛点真实且单人可做，但 C 端推荐赛道拥挤、付费意愿不明。