reddit · SideProject · 10-30 14:50 54 分 ← 返回列表

I built a tool to find newsletters worth sponsoring, instead of spending hours researching them manually

Hey everyone! I've been working on a project called Radar Lab , and recently launched it. The idea came from a problem I kept noticing: finding newsletters to sponsor is surprisingly difficult. If you're a SaaS founder or marketer looking to advertise in newsletters, you usually have to discover relevant newsletters, figure out who their audience is, find sponsorship information, and decide whether they're actually a good fit. A lot of that research is scattered across different webs

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：SaaS 创始人和营销人员想投放 newsletter 广告，但发现合适的 newsletter、查受众画像、找赞助报价等信息分散在多个网站，只能靠人工逐个调研，耗时且低效。

目标用户：做 newsletter 广告投放的 SaaS 创始人、独立开发者、增长营销人员、小型广告代理。

证据：finding newsletters to sponsor is surprisingly difficult... A lot of that research is scattered across different websites and requires manual work. / Would something like this be useful for your own product? What's the most frustrating part of finding newsletters to advertise in?

变现：订阅制 SaaS（按可搜索 newsletter 数据库 + 赞助联系方式 + 受众数据分层收费，月付 $29–99），可加付费解锁赞助邮箱/报价、按线索付费或联盟抽佣。

MVP：2 周内可做：抓取公开的 newsletter 目录和 beehiiv/Substack 榜单以及赞助页面，整理成可搜索数据库，按行业、受众规模、价格区间筛选，输出一份可导出的候选清单；先人工补全 50–100 个 newsletter 的赞助信息，验证用户是否愿意付费获取联系方式。

竞品：SponsorGap、Swapstack、SponsorRadar、Passionfroot、beehiiv 赞助市场、Substack 推荐网络

摘要：作者推出 Radar Lab（partnershipintel.com），帮 SaaS 创始人和营销人员在投放 newsletter 广告前做调研，解决信息分散、靠人工搜索的问题。帖子只是自我推广，没有收入数据或他人付费意愿的证据，作者自己在追问‘这对你有用吗’，说明需求尚未验证。该品类已有 SponsorGap、Swapstack、Passionfroot 等多家竞品，差异化空间有限。