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we killed 6 products before launch. the problem kept changing shape

in early 2025 i started with one thesis: models could do a lot, but they lacked the company context to do useful work. we built apps to probe that gap, then infrastructure to feed context to agents when opus 4.5 arrived, a github repo replaced a big piece of what we'd built. we pivoted to a context API for companies. six weeks of sales conversations gave us a harder answer: teams didn't have a budget for another API. they wanted their people to get work done with AI so we went back to an

五维评分

付费意愿
55
需求真实度
60
个人可落地
55
竞争空间
25
新鲜度
60

AI 分析

痛点:企业不想再采购一个孤立的上下文/API,而是希望员工能在 Slack 等日常工具里直接用上有权限感知和公司上下文的 AI 代理来完成工作。

目标用户:中大型企业团队、IT/平台负责人、希望让员工安全使用 AI 完成工作的业务团队。

证据:teams didn't have a budget for another API. they wanted their people to get work done with AI ... one shared agent in slack, with permissions & context scoped to each person

变现:按席位订阅的企业 SaaS,基础版按人数收费,高级版增加权限映射、审计日志、数据源连接器和私有化部署。

MVP:做一个 Slack 应用:连接 Google Drive/Notion/Slack 历史,按用户 OAuth 权限过滤上下文,在频道中提供共享 AI 代理,支持@提问、检索和简单任务执行,并记录审计日志。

竞品:Slack AI、Glean、Dust、Microsoft Copilot、Moveworks、ChatGPT for Slack

摘要:创始人回顾 2025 年杀死 6 个产品后,发现企业不愿为另一个上下文 API 付费,而是想让员工用 AI 完成工作。最终方向是 Slack 内共享 AI 代理,按个人权限和上下文隔离,并从 6 月起与设计伙伴共建后上线。帖子未给出收入数据,但提供了销售对话和设计伙伴验证信号。