See Ostler in action.

Static UI mockups, rendered against real product data. Screenshots are coming. Until then, this is what your data looks like at every stage – from raw export, through the personal wiki, to a conversation with your assistant.

The transformation

From raw export to living knowledge.

This is what your GDPR data looks like before and after Ostler processes it. A 3,800-row CSV becomes a person you actually know.

Connections.csv
First Name,Last Name,Email,Company,Position,Connected On
James,Mitchell,,Horizon Capital,General Partner,02 Jan 2019
David,Chen,,Pacific University,Associate Professor,15 Mar 2020
Sarah,Williams,,Independent,Coach,08 Nov 2022
... 3,807 more rows
James Mitchell
General Partner, Horizon Capital
Warm LinkedIn WhatsApp
Last seen 13 Apr · 7 conversations
Also knows: Tom Harrison, David Chen, Mark Thompson
Personal wiki

Every person gets a page.

Auto-generated from your data. Cross-linked with relationship signals, conversation history, and a career timeline.

James Mitchell
General Partner, Horizon Capital
Close contact LinkedIn WhatsApp Calendar
Relationship signals
Warmth
Warm
Last seen
13 Apr 2026
Conversations
7
Also knows
Tom Harrison David Chen Mark Thompson +4 more
Recent timeline
  • 13 AprCoffee at The Coffee House. Discussed VC landscape in HK, his new fund, local AI hardware startups.
  • 28 MarWhatsApp: shared an article about a hardware startup working on MoE inference.
  • 12 FebLunch at Classified. Introduced to Tom Harrison (now a beta tester).
Your assistant

Ask about your life. Get real answers.

Your assistant runs locally and answers from your actual data. Not the internet. Not a guess. Reachable from iMessage and email, and a chat panel on the Hub.

O
Your assistant
Running locally on Hub
Who introduced me to Tom?
O
James Mitchell introduced you at lunch on 12 February at Classified. Tom mentioned he had an M4 Mac Mini and was interested in running local AI.
cited from: Calendar 12 Feb · iMessage thread 12 Feb
What is Tom working on?
O
From your conversations, Tom is running local AI on his Mac Mini and is interested in testing Ostler as a beta user. He has a new M4 with 512 GB storage and 24 GB RAM.
Remind me to message him about the GDPR exports.
O
Import pipeline

One command. 20 platforms.

The import pipeline detects which GDPR exports you have and processes them all automatically. Missing exports are skipped gracefully – you can re-run later when more arrive.

ostler-import ~/gdpr-exports/ --verbose
============================================================ Ostler GDPR Import – scanning for available exports... ============================================================ LinkedIn Connections found 3,810 contacts imported (1,061 matched existing) LinkedIn Career data found 13 positions + 511 endorsements + 28 recommendations Facebook Friends found 897 friends (599 matched, 298 new) Instagram Social Graph found 1,721 contacts (168 close friends tagged) Google Calendar found 304 events with attendee matching – Twitter/X Contacts – export not found, skipping WhatsApp Contacts found 465 phone cross-references ============================================================ Import complete in 47s Parsers run: 9 linkedin_connections: linkedin_career: facebook_friends: instagram_social: google_calendar: whatsapp_contacts: ============================================================

Your life. Your device. Your rules.

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