Recently I launched CrewMem. I can simply describe CrewMem as a smarter search and context catch-up solution for indie startups and engineering teams. The problem of indie founders and engineering team leaders is usually losing the context and struggling to find the answers they have given or updates already committed.
Searching Across Your Apps
We build MVPs, take notes in Slack, push GitHub commits, update Notion boards, log timesheets, and ping team member in DMs—all as solo founders juggling part-timers. In the end, every commit, thread, and doc lives in a different tool. When a developer bounces or you onboard a new one, you’re left archaeology-digging through 400-message Slack threads, stale Notion pages, and GitHub PRs with zero “why.” Leaders waste 3–5 hours/week just reconstructing what was already done. The fix? More meetings. But meetings kill momentum.
Revolution: AI Memory Search Engine for Engineering Teams
CrewMem changes it. A founder can get precision context on demand without dragging developer into another standup. No more note-taking marathons—connect your tools once via Zapier and CrewMem remembers exactly what you need.
There you go, now you can sit back. Simply ask CrewMem AI:
- “What was the vibe of those landing page commits?”
- “Show me all Slack decisions from @freelancerX last week.”
- “Summarize Notion updates for the checkout flow.”
The response is instant. You get what is lost accross your tools and a smart summary of your coworker’s work with precision.
Onboarding and Performance Reviews
In CrewMem, onboarding a new dev is now 40% faster and performance reviews are bias-free. Ask CrewMem AI to analyze a freelancer’s contributions or a solution mentioned in a doc and get a detailed report based on the memories you fed through integrations—no manual spreadsheets, no cherry-picking Slack quotes.
We’re making context tracking, MVP shipping, and engineering team search easier with a strong, specialized AI memory layer. Keep using Slack, GitHub, Notion—CrewMem just makes them queryable.