Najmuzzaman Mohammad

We launched, we won, we almost lost ourselves. This is the honest story of building AI Context Flow after the spotlight faded.

Six months ago, we launched on Product Hunt. We were excited and nervous in equal measure , not sure what a community that has seen everything, every single day, would think of our product. Now, looking back, six months felt both incredibly long and impossibly short. A lot happened. Just consider how many AI launches have come and gone in that time.

I'll go first.

I still reply to every comment manually. Reddit, LinkedIn, Product Hunt, forums, Twitter, Discord. Every single one.

AI could do this. There are tools that generate replies, post on schedule, analyze sentiment, even mimic your brand voice. But I don't use them. Here's why.

A 2024 study on community engagement across 500 brands found that personalized responses drive 3.2x higher retention and 4.7x more repeat interactions than automated replies. People can tell when a response is copy-pasted. They can feel when no one actually read their comment. The average user only needs 2-3 automated interactions before they disengage entirely.

Hey Product Hunt!

I m the creator of YourMemory. I've spent the last few years as an engineer at Gartner and MongoDB, and the biggest frustration I ve found with AI agents is Context Rot. After about a week of working on the same project, my agents would start "forgetting" decisions we made on day one.

RAG usually treats memory like a permanent filing cabinet, but eventually, the cabinet gets so stuffed with junk that the agent s reasoning falls off a cliff.

I decided to try a biological approach: YourMemory is an MCP server that uses the Ebbinghaus forgetting curve to manage context. It reinforces what matters and prunes the noise, just like we do.
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