Demo – Ostler

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.

People > Hong Kong > Technology

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.

Point Ostler at the folder of exports you have downloaded and it does the rest: it works out which platforms are present, reads each one, and matches everyone against the people you already know. In this run it took 47 seconds to bring in 3,810 LinkedIn connections, 897 Facebook friends, 1,721 Instagram contacts and 304 calendar events – and quietly skipped the exports that were not there. Nothing to set up, nothing to configure.

Show the full terminal output

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: ✓ ============================================================

See Ostler in action.

From raw export to living knowledge.

Every person gets a page.

Ask about your life. Get real answers.

One command. 20 platforms.

Your life. Your device. Your rules.