Launching today

Mnemcore

Launching today

Turns hours of team video and notes into searchable memory

24 followers

Turns hours of team video and notes into searchable memory

24 followers

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Knowledge base software

Mnemcore turns your organization’s video into searchable, shared knowledge. Capture timestamped notes, search across every recording, and ask questions to get grounded answers linked directly to the original moments. Built for teams that rely on video but need a better way to remember, find, and act on what they see.

Free

Launch tags:Artificial Intelligence•Search•Online Learning

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What did GPT-5.6 Sol, Terra and Luna unlock that made your launch possible?

Mnemcore

Maker

GPT-5.6 Sol, Terra, and Luna gave me a practical engineering team inside Codex CLI. Sol unlocked the most difficult work: reasoning across Mnemcore’s Vue frontend, FastAPI backend, Supabase database, retrieval pipeline, and video infrastructure at the same time. I used it for architectural decisions, complex debugging, large coordinated changes, and simplifying systems that had become overengineered. Terra became the dependable model for everyday development. It handled feature implementation, refactors, database migrations, API work, frontend integration, and code review with a strong balance of speed and depth. Luna made high-volume iteration possible. I used it for smaller changes, test generation, investigating code, refining prompts, writing documentation, and quickly working through repetitive implementation tasks without applying a flagship model to every problem. Together, they let me match the model to the task instead of choosing between capability and cost.

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2h ago

Mnemcore

Maker

📌

Hey Product Hunt! I’m Jose, the founder of Mnemcore 👋 I built Mnemcore after spending years between two worlds: software engineering and competitive rugby. Teams record countless hours of video and capture valuable observations, but that knowledge usually stays scattered across individual recordings, notes, and people’s memories. Mnemcore turns those timestamped observations into searchable organizational memory. Teams can: • Capture notes connected to exact moments • Search across every video at once • Ask questions in natural language • Get evidence-backed answers linked to the original timestamps What makes Mnemcore different is that it does not try to replace the coach, analyst, or expert. Their observations are the knowledge base. AI helps preserve, connect, and retrieve what the organization has already learned. We’re starting with sports, but we believe this applies anywhere teams learn through video: training, education, research, operations, interviews, and creative work. I’d especially love feedback on the idea of organizational memory, the current workflow, and which industries beyond sports could benefit most. Thanks for checking out Mnemcore!

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14h ago

Congrats on the launch. The answer layer is the part I got curious about: when someone asks a question and gets a citation back, is retrieval scoped to the videos that person can already open? Answering across a whole workspace seems like a fun problem to get right.

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1h ago

the grounded-answer-linked-to-the-original-moment part is what separates this from just running transcripts through a search index, most tools give you a text blob back and you still have to hunt for where in the recording it actually happened. does it handle screen shares and slides shown during the call too, or mainly spoken content?

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22m ago

Forum Threads

p/mnemcore

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14h ago

Is understanding video the same as understanding what matters?

AI is becoming increasingly capable of identifying what happens inside a video: who appeared, what was said, which objects were present, and which events occurred.

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