Capture
Forward useful things the moment you find them.
Reels, Telegram posts, saved links, and notes all enter the same pipeline instead of dying in different apps.
S
Scavi
memory layer for saved content
Save first. Organize after.
The place where saved content becomes usable again.
Scavi turns reels, Telegram forwards, and saved links into one private, searchable system with source context, collections, tags, and summaries that survive longer than the scroll.
Telegram linking is live
Instagram ingestion is live
Collections and search already work
Live workspaceScavi
InboxToday
Forwarded Telegram post about relocation paperwork in Lisbon
Saved reel with top Madrid restaurants for date night
Text note about scam patterns in rental chats
Collections
Relocation
Manual collections stay in control, while automatic fallback keeps the rest organized.
Search
"madrid date spots"
Search transcript, caption, summary, tags, and source metadata without reopening ten saved folders.
What is live
- Forward useful things the moment you find them.
- Scavi writes the memory layer after the save.
- Find it later by meaning, not by guessing.
Flow
- 1Send or forward useful content into Scavi.
- 2Scavi extracts text, meaning, source context, and collection candidates.
- 3Open one workspace that stays searchable instead of dozens of forgotten saves.
Product
Built for the way people actually save things.
The job is not storing more links. The job is turning half-remembered saved content into something you can reuse quickly when you need it.
Structure
Scavi writes the memory layer after the save.
Tags, summaries, source references, and collection matches happen in the background, so the user does not need to behave like a librarian.
Retrieve
Find it later by meaning, not by guessing.
Search transcript, summary, caption, tags, and source metadata without reopening ten chats and trying to remember who sent what.
Why it matters
The memory layer starts after the save, not before it.
Users should not have to stop and manually organize every saved item. Scavi accepts fast capture first, then does the structural work in the background.
Open the app01
The product accepts messy real behaviour.
People do not save cleanly. They dump useful content into Telegram, DMs, notes, and browser tabs. Scavi is built around that behaviour instead of trying to correct it.
02
Every saved item gets source-aware structure.
The system keeps where the content came from, writes a useful summary, tags it, and chooses whether it belongs in a manual collection or an automatic fallback.
03
Retrieval matters more than storage.
Saving is easy. The hard part is finding the exact recommendation, warning, or list again when the original post is long gone from memory.
Launch-ready base
A clean workspace for content people keep trying to save.
Scavi is built for creators, operators, researchers, and heavy savers who need one private place where the useful part survives the platform it came from.