Granger
by Mirror Factory
Real workflows, step by step
Granger connects your tools into a single knowledge layer. Here's what that looks like in practice — from your morning coffee to your end-of-week review.
From raw content to searchable, actionable intelligence
7:00 AM — Before you open Slack
You arrive at your desk. Instead of checking Slack, Linear, Google Drive, and Discord separately, Granger has already done that for you.
At 7 AM, Granger emails you a summary: 3 new docs synced from Google Drive, 2 action items from yesterday's meeting, 1 overdue task from Linear, and a key decision made in Slack.
Your inbox shows prioritized items — urgent action items at the top, new context in the middle, and FYI items at the bottom. Each links back to its source.
Mark action items as done, dismiss noise, star the doc you need to review later. Everything across 5 tools, handled in one place.
5
tools checked
2 min
to triage
0
tabs opened
Finding decisions across tools
Your CEO asks about the pricing decision from last week. The answer is scattered across a meeting transcript, a Linear issue, a Google Doc, and a Slack thread. Without Granger, you'd spend 20 minutes hunting.
"What did we decide about pricing last week?" — Granger expands your query into 4 variations, searches across all sources with hybrid vector + keyword search.
Granger finds the meeting transcript where it was discussed, the Linear issue where it was tracked, the Google Doc with the analysis, and the Slack message confirming it. Trust-weighted ranking puts the Linear issue (authoritative) above the Slack message (context).
"We decided on usage-based pricing with 3 tiers (Free/Starter/Pro) during the March 12 meeting. Alfonso confirmed in #product on Slack. The full analysis is in the Q1 Pricing Strategy doc." — Each source is clickable.
Sessions keep everything for a project in one place
You're running a 2-week sprint on the billing system. Context is spread across Linear issues, meeting notes, a design doc, and Slack discussions. Granger keeps it all scoped.
Sessions are project workspaces. Everything linked to this session stays scoped — when you chat, search, or get insights, it's only about billing.
When a Linear issue mentions "billing" or "credits", Granger automatically links it to your session. Same for meeting transcripts, Google Docs, and Slack threads. The AI matches by topic similarity.
"What are the open billing issues?" — Chat only searches documents linked to this session. No noise from other projects.
"New insight: The meeting transcript from Monday mentions a March 28 deadline, but PROD-225 (Stripe setup) is still in Backlog." — Granger finds contradictions across sources automatically.
Export the session as Markdown — linked documents, decisions, action items, and open questions. Drop it in your standup notes.
They ask questions, Granger has the answers
A new engineer joins. Instead of scheduling 5 knowledge-transfer meetings, you point them at Granger. Every meeting transcript, design doc, issue, and decision is already searchable.
Add them to the team. They instantly have access to every synced document, meeting transcript, and issue in the knowledge base.
"Why did we choose Supabase over Firebase?" — "What's the architecture for the AI pipeline?" — "Who owns the billing integration?" — Granger answers with citations to actual team discussions and documents.
They can see how decisions evolved — the pricing model went through 7 versions before landing on usage-based tiers. The context is there, not just the final answer.
Instead of interrupting teammates with questions, they self-serve from the team's collective knowledge. The knowledge base grows with every meeting and every sync.
5
meetings saved
Days
not weeks to ramp
100%
context preserved
Action items extracted and tracked automatically
You just finished a 45-minute planning meeting. Granola captured the transcript. Here's what happens next — automatically.
Within seconds of the meeting ending, the full transcript arrives in Granger via webhook. Token-verified for security.
7-step pipeline: extract entities (people, decisions, action items, topics) → chunk into searchable passages → generate embeddings → create inbox items → auto-link to relevant sessions.
"Alfonso to finalize pricing tiers by Friday" — extracted automatically from the transcript and assigned as an action item with a due date.
The transcript auto-links to the "Billing Sprint" session because it mentions pricing and credits. Anyone in that session sees the new context immediately.
Six months later, someone asks "what did we decide in the March planning meeting?" — Granger finds the exact passage with the decision.
Know what happened across the entire org
Friday afternoon. You need to know what shipped, what's blocked, and what decisions were made across every team and tool this week.
“Summarize what shipped this week”
“What decisions were made in meetings?”
“Are there any overdue action items?”
“What are the open blockers across all projects?”
Content Health: 78/100 score
23 stale items need review
6 integrations active, 0 errors
150 AI queries this week, 93% success
Granger doesn't just search — it finds connections. "The design doc updated Tuesday conflicts with the Linear issue assigned to Marcus." These cross-source insights surface automatically.
Export as Markdown: all decisions, shipped items, open actions, and blockers across every tool — ready for your weekly report or board update.
Start with one integration. Granger gets smarter with every document, message, and meeting you connect.
Granger — Mirror Factory