This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Existing DAMs are photo-first, cloud-dependent, or give you tags like "beach." DAAAM is built for video. A custom vision model runs on your Mac and captions every frame: shot type, mood, composition, scene, lighting. Audio is transcribed with word-level timestamps fused to the timeline. Search by what you see or what was said. Connect to Claude via MCP for AI-driven storyboarding. Export to Final Cut, Premiere, or Resolve. Perpetual license. Your footage never leaves your machine.
Hey everyone! 👋
I'm the solo dev behind DAAAM. Here's the backstory:
I've been shooting video for years — phone, drone, camera — and I have hundreds of GBs of raw footage I've barely touched. Not because the footage is bad, but because I could never find anything. Every time I sat down to edit, I'd spend more time scrubbing through folders than actually creating.
I looked at what was out there. Every digital asset manager was either designed for photographers, required uploading everything to someone else's cloud, or just gave you generic tags like "dog" and "sunset." Nothing understood how a frame was shot — the composition, the mood, the lighting, the energy.
So I fine-tuned my own vision model and built the app I wanted.
What makes it different:
🎥 Frame-level captioning — every extracted frame gets a structured 7-field description (scene, subjects, shot type, composition, mood, lighting, setting). Not "beach" — more like "wide aerial, golden hour, calm, river winding through valley."
🗣️ Transcript search — audio is transcribed with word-level timestamps and fused to the visual timeline. Search for something someone said and land on the exact timecode.
🔒 Fully local — the vision model runs on your Mac. Your footage never leaves your machine. Cloud processing is there if you need it for larger batches.
🧠 Claude MCP integration — describe the narrative you want to tell and Claude searches your visual captions and transcripts, then suggests which clips and timecodes to use. It's like having an AI assistant that's watched all your footage.
🎬 NLE export — export Boards directly to Final Cut Pro, Premiere Pro, or DaVinci Resolve. Relinks to your original raw files, no transcoding.
I built this because I genuinely needed it. If you're sitting on a drive full of footage you've never cut into anything — this is for you.
Happy to answer any questions about the model, the tech, or the roadmap. Would love your feedback! 🙏
How does the custom vision model hold up with lower resolution or heavily compressed footage where fine details like mood or shot type might be ambiguous to detect?
The frame-level captioning on a local Mac is genuinely impressive. Searched a messy Premiere project for "low angle, golden hour" and it just worked.
About DAAAM on Product Hunt
“A local AI search engine for all your content”
DAAAM was submitted on Product Hunt and earned 4 upvotes and 4 comments, placing #160 on the daily leaderboard. Existing DAMs are photo-first, cloud-dependent, or give you tags like "beach." DAAAM is built for video. A custom vision model runs on your Mac and captions every frame: shot type, mood, composition, scene, lighting. Audio is transcribed with word-level timestamps fused to the timeline. Search by what you see or what was said. Connect to Claude via MCP for AI-driven storyboarding. Export to Final Cut, Premiere, or Resolve. Perpetual license. Your footage never leaves your machine.
DAAAM was featured in Marketing (465.8k followers), Artificial Intelligence (473.1k followers) and Photo & Video (2k followers) on Product Hunt. Together, these topics include over 183.4k products, making this a competitive space to launch in.
Who hunted DAAAM?
DAAAM was hunted by Munashe Chitima. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how DAAAM stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Munashe Chitima