I built a hook analyser for short form content - looking for feedback

reddit SideProject · 原文链接 ↗ · 53 分

Hi! I am prototyping an app that analyses the first 3 seconds of a short-form video to tell creators if their hook will stop the scroll or not. The app is currently built with this tech stack: Frontend/Deployment: Python & Streamlit Cloud Visual Analysis: OpenCV (calculates frame-by-frame motion energy/differencing in the first 3 seconds) Audio Analysis: OpenAI Whisper (calculates speech pacing and word-per-second density) AI Evaluation & Rewriting: Google Gemini with Pydantic structured schemas (outputs a 0-10 score break down + a 1-sentence hook rewrite)

五维评分

AI 分析

痛点：短视频创作者无法客观判断前3秒的「钩子」能否留住观众，只能靠感觉反复试错，导致完播率低、流量上不去。

目标用户：TikTok/Reels/Shorts 中小创作者、代运营机构、MCN 内容团队，尤其是刚开始做账号、没有数据分析能力的新人。

证据：I am prototyping an app that analyses the first 3 seconds of a short-form video to tell creators if their hook will stop the scroll or not. / The app is completely free and requires no log in / My current strategy is to DM small creators a value-first breakdown + Gemini's script rewrite before ever asking them to click a link.

变现：免费分析 + 订阅解锁（每月N次深度钩子评分、脚本改写、历史对比、爆款钩子库）；面向代运营/MCN 的团队版按席位收费；或与剪辑工具（Opus Clip 类）做 API/插件分成。

MVP：2周 MVP：上传视频或粘贴前3秒脚本 → Whisper 转写算语速/停顿 → OpenCV 算画面动态 → Gemini 输出 0-10 分 + 一句改写建议；先用 Streamlit/Next.js 单页，加 Stripe 订阅（免费3次/月，付费无限次+竞品钩子对比库），靠 DM 冷启动前 50 个付费创作者。

竞品：Opus Clip、vidIQ、Submagic、CapCut 内置分析、TikTok Creative Center

摘要：作者在 r/SideProject 发布了一个免费的短视频「前3秒钩子」分析原型：用 OpenCV 算画面动态、Whisper 算语速密度、Gemini 输出 0-10 分并重写钩子，技术栈为 Python + Streamlit Cloud，无登录、完全免费。他靠私信小创作者先给价值再要点击来获客，说明目前尚无付费验证，但目标人群（短视频创作者）本身有成熟的付费工具消费习惯，独立开发者极易复刻类似 MVP。整体属于「需求方向成立、付费意愿未被验证」的机会。