Faced with an endless stream, Revornix takes a quieter approach: collect what deserves to stay and let AI handle the rest.
Web pages, PDFs, Office documents, plain text, audio, and screenshots become structured content before entering vector search and a personal knowledge graph. From there they can become summaries, illustrated reports, two-voice podcasts, and notifications delivered when you are ready.
Information should do more than sit in a collection
Revornix has been local-first and self-hostable from the beginning. People control their data, models, and infrastructure; parsing, embedding, summarization, and generation engines remain replaceable.
I am less interested in building another read-later app than in creating a complete information pipeline: collect, understand, organize, and deliver. Things saved with care should eventually become knowledge that can be searched, connected, and used to make something new.
Faced with an endless stream, Revornix takes a quieter approach: collect what deserves to stay and let AI handle the rest.
Web pages, PDFs, Office documents, plain text, audio, and screenshots become structured content before entering vector search and a personal knowledge graph. From there they can become summaries, illustrated reports, two-voice podcasts, and notifications delivered when you are ready.
Information should do more than sit in a collection
Revornix has been local-first and self-hostable from the beginning. People control their data, models, and infrastructure; parsing, embedding, summarization, and generation engines remain replaceable.
I am less interested in building another read-later app than in creating a complete information pipeline: collect, understand, organize, and deliver. Things saved with care should eventually become knowledge that can be searched, connected, and used to make something new.