Your voice, sharpened.
Not replaced.

Hanisocial fingerprints how YOU actually write — then drafts 5 LinkedIn posts in your voice every Monday. No templates. No AI slop. Bring your own Anthropic key.

Start building your voice See a real generated brief →

What Hanisocial actually generates

Two real drafts from a working user's brief, in their real voice. No edits.

Generated by Hanisocial · 92% fit

Here's the thing about multi-agent systems in production: the demos make the LLM call look like the hard problem. It isn't.

Three months into a routing system for a bank, we hit a bug nobody had flagged. Agent A timed out at 32 seconds. Agent B had already started executing on A's partial output. The audit log now had two contradictory entries — and the customer's WhatsApp had already received a confirmation. Two records of truth. One of them lying to a customer. The fix wasn't a better prompt. It was: retry logic with idempotency keys, a reconciliation pass before any downstream action, and a hard gate so no customer-facing message ships until reconciliation confirms a single source of truth. The LLM call is the easy part. The orchestration + audit + reconciliation is the system.

— in user's voice profile

Generated by Hanisocial · 89% fit

n8n vs Zapier vs Make for AI workflows in regulated industries. I'll defend each for its right use case. For banks and telcos, only one survives the compliance audit.

The question is: "Show me exactly where PII gets stripped before it hits the LLM." First, Zapier. Fast to prototype. Legal asks where redaction lives, you're showing them a Formatter step and hoping they nod. They won't. Second, Make. More flexible, better branching. Still hits the same wall — you can't drop into raw code at the node where compliance needs proof. Third, n8n. The Code node is the whole game. You write the redaction, you log the redaction proof, the auditor reads every line of it. In regulated industries, n8n is the only honest answer.

— in user's voice profile

Generated from a 15-minute voice interview. Your output will sound like YOU, not this user.

How it works

Three steps. No prompt engineering. No template gallery.

01
Connect your LinkedIn history
— or do our 10-minute voice interview if you're starting fresh. Either path captures the way you actually sound.
02
Hanisocial learns your real voice
Sentence rhythm, vocabulary, opinions, story patterns. We build a fingerprint of how you write — not how an AI thinks you should.
03
Every Monday, 5 posts drafted in your voice
Adapted natively for LinkedIn, X, Instagram, Facebook, and Threads. Rate them; next week's brief gets sharper.

Built for two kinds of creators

Whether you've been posting for years or you're shipping your first post — Hanisocial meets you where you are.

Established voices

You've posted on LinkedIn.

We fingerprint your authentic voice from your real posts and amplify it. No retraining how you sound — just helping you sound like yourself, more often, across more places.

New businesses

Zero posts? No problem.

Our 10-minute guided interview synthesizes your voice from who you are, what you believe, and how you actually talk. You'll walk out with a voice profile — and your first week of content.

Voice DNA — not tone presets

We don't ask “professional or witty?” We forensically fingerprint how YOU write.

voice_profile.json

{
  "tone_axes": {
    "edge": 0.75,
    "confidence": 0.85,
    "warmth": 0.35,
    "humor": 0.20,
    "formality": 0.55
  },
  "signature_phrases": [
    "Call it what it is",
    "the LLM call is the easy part",
    "I'd rather X than Y"
  ],
  "positions": [
    "Most 'AI agent' demos are 2-3 if-statements with a chat UI",
    "n8n is the only honest workflow tool for regulated industries"
  ],
  "story_bank_seeds": [
    "The 32-second timeout bug at a regional bank",
    "Training BaobabAI on Llama at SabiFlow Technologies"
  ]
}

Why this works.

Hanisocial reads your LinkedIn history or your guided-interview answers and produces a forensic fingerprint of how you write — your tone axes, your signature phrases, your defensible positions, your real stories. That fingerprint guides every draft.

Why no one else does this.

Most AI writers train on top creators' patterns. The output mimics whatever's currently viral. Hanisocial does the opposite — we anchor to YOUR specific voice and refuse to drift toward generic.

What you'll see in your profile.

Same shape as the JSON above. Real positions, real stories, real signature phrases. No tone presets, no templates, no AI slop.

Works across every platform you post to

Generate once. Adapt natively. Post everywhere.

LinkedIn
Deep integration
X
Instagram
Facebook
Threads

Built by founders, not a venture team

Clem Okpalogu

Founder & CEO

Founded Hanify Solutions to build practical AI tools for solopreneurs and businesses worldwide. Drives the product vision and the relationship with founders who actually use Hanisocial daily.

View on LinkedIn →

Pascal Okafor

Co-founder & CTO

AI Automation Engineer who's shipped multi-agent systems for regional banks, telcos, and retailers. Wrote every line of Hanisocial — voice fingerprinting engine, the Monday Brief, the compliance-grade orchestration layer.

View on LinkedIn →

Based in Newcastle, Australia · A Hanify Solutions product

Fair question

But I have my own voice. Why pay for a tool to write in it?

Because writing in your own voice — well — takes 8 hours a week. Drafting, second-guessing, abandoning posts, returning to them, rewriting them to not sound like everyone else.

Hanisocial gives you those 8 hours back. Same voice. Better cadence. You still review, tweak, and ship — but the heavy lifting of starting from blank is gone.

Your voice, sharpened.
Starting today.

Generate your voice profile in 10 minutes — from your LinkedIn history or our guided interview.

Free during beta. Bring your own Anthropic key — pay AI direct, no markup.

Get started free

Your voice, sharpened.Not replaced.