GoldenRetriever.ai Public Beta
Search for stuff that's not in the transcripts
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Felix Velarde

GoldenRetriever.ai Public Beta - Search for stuff that's not in the transcripts

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Search for stuff that's not in the transcripts! Your videos, recordings and documents are full of moments you can't find. GoldenRetriever.ai runs on your Mac and searches folders by what's shown as well as transcribed. Ask a question, land on the exact moment – with sources and timestamps. Find a scene from a recording. Pull up photos by theme. Check whether your insurance policy covers something, even when it's in German and you're searching in English. Free for your first 100 files.

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Felix Velarde
Maker
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I built GoldenRetriever.ai after years of recording client work and realising how little of it I could actually retrieve. There were hundreds of hours of calls, workshops and demos sitting in folders. The useful parts were always inside the video or on the screen, and transcripts never helped much in finding them again. I wanted a way to ask a question and land on the exact moment that answered it. GoldenRetriever.ai runs on your machine and turns those archives into something you can search properly. It understands what was shown, what was said and how it connects across files, then returns answers with sources and timestamps so you can go straight to the original context. It’s available with a free tier for up to 100 files, which is enough to try it on a real project. I’m here for questions and feedback, especially on how it fits into your existing workflows.
Felix Velarde
Maker

  • "Find every wedding kiss shot from the last three years."

  • "Find the photo of the red car at golden hour." 

  • "Find that screenshot of vertical tab navigation I saved in spring."

  • "Which interview mentioned pricing pushback?"

  • "Find me that French Airbnb screenshot, travel docs, foreign tax forms, expat paperwork, German rental contracts."

  • "I know I wrote this somewhere"

  • Journalists. Interview audio, source docs, photos. The kind of thing where a reporter has 40 hours of recordings from one investigation.

  • Researchers / academics. PDFs of papers, lecture recordings, slide decks. "Which image said the sample size was 283?"

Andre Flitsch
Maker

Co-built this with @felixvelarde . Quick context on what makes it different from the obvious comparisons:

Your files stay on your machine. The only thing leaving is the embedding call to Gemini, using your own API key. We don't host, process, or see your content.

Where it's surprised me most, video and audio:

  • "Find the moment in the customer interview where they pushed back on pricing"

  • "Which slide showed EBIT in the Q3 board recording"

  • "Find the bit in the family video where dad and grandma were both laughing"

Plus the obvious wins:

  • The screenshot graveyard everyone has, suddenly searchable by what's in the image

  • Cross-language: ask a German PDF a question in English

Happy to answer anything technical: RAG pipeline, why Gemini, local-first tradeoffs. 🦮