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I built an open-source tool that can replicate viral video ads in minutes, not in days

A lot of people say AI video tools can produce finished videos for us. But when you actually use them, you realize there’s still a lot of manual work involved in fixing the details. Our old workflow : find a video that was performing well, use it as a reference, remark it for our product, then publish it. A single video will take an inter a whole day. We also tried to use AI agents to handle the whole process, but the results weren’t good. Tools like Seedance 2.0 and Kling m

五维评分

付费意愿
40
需求真实度
55
个人可落地
65
竞争空间
55
新鲜度
85

AI 分析

痛点:用AI工具复刻爆款视频广告仍需大量手动调整细节,单条视频耗时近一整天,批量生成多版本困难。

目标用户:效果营销人员、短视频广告投手、DTC品牌营销团队、视频广告代理公司、独立创作者。

证据:A single video will take an inter a whole day. ... With the same source file and 100 different run configurations, you can generate 100 different versions.

变现:开源核心编译器免费,提供付费云托管渲染、团队协作、模板市场、批量A/B测试和API调用;或按生成视频时长/渲染次数订阅收费。

MVP:先做一个Web编辑器,让用户粘贴脚本和参考广告,自动生成.scam描述文件,调用现有视频生成/渲染API输出带字幕、画中画和简单转场的3个版本,支持一键导出和基础版本管理。

竞品:Seedance 2.0、Kling

摘要:作者发布开源视频描述语言与编译器Hyper,用于把爆款广告复刻流程从手工一天压缩到分钟级,并支持同一源文件生成100个变体。帖子指出AI视频工具仍很难跨完整视频控制细节,但未给出付费意愿或收入数据。