The problem was never storage, it was retrieval

For years I thought I had a documentation problem.

I didn’t. I had a retrieval problem.

There are hundreds of hours of strategy sessions, product demos, customer interviews and workshops sitting in folders on my machine. We recorded everything because the conversations mattered.

Then six months later someone would ask:

“Didn’t we already discuss this with the client?”

And we’d spend half an hour digging through filenames and transcripts trying to find the moment.

The strange part is that transcripts were never enough.

A transcript can tell you someone mentioned a pricing model. It can’t tell you the CFO looked worried when the slide appeared.

It can tell you someone said “option 3”. It can’t tell you the entire room smiled when that concept went on screen.

That gap is what led to GoldenRetriever.ai.

It indexes video, audio and documents locally, then lets you search across all of it in plain language.

Some of the searches that still feel slightly surreal:

“Find the meeting where I wore a red t-shirt.”

“Show every product demo where the mobile navigation was discussed.”

“Find the workshop where the client reacted positively to the pricing slide.”

“Show me every meeting where the CEO and head of HR appeared together.”

The important thing is that the answers link back to the original source material and exact timestamp. You can verify everything in context.

We’re preparing for the Product Hunt launch now.

I’m genuinely curious what other people would search for first if their archive became fully searchable.