"Semua Pandangan Itu, Hilang Selepas Acara"

You fly out to a conference, sit through fifteen sessions, scribble notes in three different notebooks, and come home with a head full of ideas. Two weeks later, the only artifact that survives is a LinkedIn post about how insightful the keynote was. When someone on your team asks "what did that speaker say about vector search?" you remember the gist but not the quote. Somewhere in your laptop is a 90-minute MP3 of the talk that you'll almost certainly never listen to again.

Organizations try to solve this with shared drives of recordings, but nobody watches them. They try hiring transcription services, but the per-minute cost adds up fast and the output is a wall of unformatted text with no search across talks. They try knowledge-management platforms that end up as write-only archives. What would actually work is simpler: a searchable, summarized, translated version of every talk you recorded, with a way to group talks by topic so you can find the thread that ran across multiple sessions.

Meeting Bable processes any audio file you upload — up to 100MB, in MP3, WAV, M4A, FLAC, OGG, or WebM — and returns a speaker-identified transcript (up to 10 speakers), an AI summary, and a translated version in any of 19 languages. Tag each recording with hashtag topics (#ai-infra, #product-strategy, #design-systems) and cross-session summaries surface the thread across talks. Six months later, when you need to remember what the Tokyo team lead said about feature flags at the October workshop, a five-second search finds the exact moment.