LinkedinOS — An AI editorial studio in your voice | Arjun Nayyar
LinkedinOS AI PROPOSES · YOU DECIDE

Your LinkedIn, in your voice — on autopilot.

An AI editorial studio that turns what you build and read into posts that sound like you — and gets sharper with every edit you make. It drafts. You decide. It never posts for you.

Runs on your own machine · Your voice, your data, your control
Draft ready to review
BALANCED

Everyone's shipping AI agents. Almost nobody's talking about the boring part that makes them usable:

a human who can say no before anything ships. That veto is the product.

Approve Revise Reject
See it in motion

The whole workflow, in 60 seconds.

The problem

You know you should post on LinkedIn. You don't.

Coming up with what to say takes forever — you open a blank box and close it.

Generic AI writers sound nothing like you — so the drafts are unusable.

You post once, get mediocre traction, have no idea why, and go quiet for months.

How it works

One closed loop. You in the middle of every step.

Four steps take an idea to a published post. Two more quietly learn from it — so the next draft is better than the last.

STEP 01

Intake

An idea arrives — trending news in your field, your own note, or what you built today.

STEP 02

Write

It drafts a post from your voice profile, playbook, and latest performance memo.

STEP 03

Review

You approve, revise with feedback, or reject. Nothing moves without you.

STEP 04

Publish

You post it by hand on LinkedIn, then log the link and the numbers.

Then the loop feeds itself
STEP 05 · LEARN VOICE

It compares your draft to what you actually posted and updates your voice profile.

STEP 06 · ANALYZE

A weekly memo spots what worked and tells the writer what to try next.

You never start from a blank page.

Ideas flow in from three places. Every draft is tagged safe · balanced · spicy so you set the risk.

📡

Trending news in your field

It scans RSS feeds for your industry and ranks the topics worth a take. Ships pre-configured for AI — point it at any field.

💭

Your own ideas

Type a one-line seed on the Seed page, pick a tone, and it drafts a full post from it.

CLAUDE CODE

What you built today

A plug-in scans your projects for the day's work and turns it into a post idea — automatically.

The difference

It sounds more like you every week.

Generic AI slop is obvious. So after every post, LinkedinOS diffs your draft against the words you actually published, finds the patterns you keep changing, and writes them into your voice profile.

You never manage this. You just edit like you always would — and the next draft needs fewer edits.

IT DRAFTED

"In today's fast-paced landscape, we must leverage synergies to unlock value."

YOU POSTED

"Most 'AI strategy' is three tools in a trench coat. Here's what actually moved the needle."

Added to your Voice Profile: drop corporate filler — "leverage", "in today's landscape". Open with a sharp claim.

One local dashboard

Everything runs in one place, on your machine.

127.0.0.1:8000
Queue Seed Published Analytics Voice Lab
SKILL What I shipped in Headhunter this week balanced
NEWS A take on the new open-source model release spicy
SEED Why the human veto is the actual product safe

Comment replies

Drafts voice-matched replies to comments on your posts — no clichés, within LinkedIn's limit.

Branded image cards

Generates a clean quote, comparison, or stat card sized for the feed — one click.

Weekly analyst memo

Reads your numbers and writes observations, hypotheses, and a tone to try next.

What it will never do.

Post on your behalf. Every draft waits for your approval. You paste and publish it yourself.

Send your data to the cloud. It runs on your computer against plain text files. Nothing is uploaded.

Chase vanity metrics. It learns your voice and advises — it never becomes a black-box growth optimizer.

What it costs to run.

~$2/ month in AI usage

Runs on your own machine — pay only for the Claude API it uses (about $2/mo for a post every weekday, almost always under $5). No subscription.

~15–20 min setup Windows or Mac You own it forever

Questions.

No — and that's the whole point. It drafts; you approve, revise, or reject. You paste and publish every post yourself on LinkedIn. Nothing goes public without you.

You set it up once with a guided “Get to Know You” prompt — Claude reads a few things you’ve already written and builds your voice profile from real samples, not a self-description. Then it keeps learning on its own: after each post it compares your draft to what you actually published, finds the edits you repeat, and writes them into your voice profile. Every post you edit sharpens the next draft.

Three sources: trending news from RSS feeds for your industry (ships pre-configured for AI, point it at any field), one-line ideas you type on the Seed page, and a Claude Code plug-in that scans what you built across your projects today and turns it into an idea automatically.

About 15–20 minutes, following a plain-English guide — no coding needed. You need a Windows or Mac computer and a personal Anthropic (Claude) API key. It runs locally and opens as a simple dashboard in your browser.

A one-time price for LinkedinOS itself (no subscription), plus the Claude API usage it runs on — roughly $2/month for a post every weekday, almost always under $5. You control that spend and can cap it.

LinkedinOS stores everything on your own machine — plain text files plus a local database — with no LinkedinOS cloud, no account, and no login. The AI itself is Claude, so the content it writes and tunes (your ideas, drafts, and voice profile) is processed by Anthropic's API, exactly as in any Claude usage; it also fetches your chosen RSS feeds from the web. The optional Claude Code plug-in only reads your project files and never touches credentials.

No coding needed. The installer handles Python and dependencies, and setup follows a plain-English guide. If something goes wrong, a short Gotchas section fixes the vast majority of issues — most problems are solved by restarting the engine (close the window, double-click start again). Because Claude is already installed, you can also point it at the folder and describe the problem in plain English to help fix it.

© 2026 Arjun Nayyar ← Back to home