The problem
You make dozens of decisions a week. Strategy pivots. Pricing changes. Hiring criteria. Investor feedback. That knowledge lives in your head, in Slack threads, in docs nobody reads. When you ask AI for help, it knows nothing about your company.
How founders use Hjarni
Write down what matters. Your positioning. Your ICP. Key decisions and why you made them. Meeting notes. Investor Q&A. Connect ChatGPT or Claude to Hjarni and it works from your actual context. Not generic startup advice.
A typical founder setup
- Strategy folder — positioning, ICP, competitive landscape, pricing rationale
- Meetings folder — investor calls, customer interviews, team retros
- Decisions folder — what you decided and why, so you don't revisit the same debate
- Team knowledge base — shared context so your team's AI works from the same source of truth
A concrete workflow
You finish a customer interview. Drop your raw notes into Hjarni. Next week, ask Claude to summarize the top 5 pain points across all interviews this month. Claude reads your notes and synthesizes what customers actually said. Not what a language model thinks customers generally care about.
Preparing a board deck? Your AI already knows your metrics narrative, your strategic priorities, and every decision since the last board meeting.
Why not just use Notion or Google Docs?
You probably already do. But those tools aren't designed to be read by AI. Hjarni is. Set folder-level instructions so your AI is formal for investor materials and direct for internal strategy work.
The best AI assistant is one that already knows your company. Hjarni makes that possible.
What you get
- Your AI reads your company — strategy docs, meeting notes, decisions
- Team knowledge base — everyone's AI works from the same shared context
- Folder-level AI instructions — different tone and rules for different work
- Quick capture — inbox for notes on the go
- Privacy — your data stays yours, we don't train AI on it
- Markdown export — no lock-in, ever