8x Social

Company Prospectus — February 2026

We're testing infrastructure for performance marketers. We launch 10–30 fresh TikTok and Instagram accounts per brand, post daily, and find winning creatives before they spend ad budget scaling them.

$620K+ ARR in 4 months
80% Close rate
0% Churn on retained clients

The Problem

Brands know UGC works. They've had wins. But they can't scale it because managing creators is a full-time job. Social listening, creator sourcing, account tracking, content quality, daily posting across markets — one CMO told us he spent 60% of his time managing just 8 creators.

Jack & Jill tried to source creators themselves. Two weeks in, they emailed us: "This is going to be such an operational pain for us." They signed a contract the same week. That pattern repeats with every client.

The Insight

Every creator on our platform starts a fresh account from scratch. Zero followers. That's not a limitation — it's the entire strategy. TikTok's algorithm structurally prioritizes new accounts, giving them disproportionate organic reach to test if they're worth promoting. We don't work with existing influencers. We create the supply.

This means we're not a thin matching layer that brands can route around. We recruit, train, brief, and manage every creator. We run social listening to identify what's working in the niche. We cycle through 9 creators to find the 5 that perform. We handle the entire operation so brands never have to.

What Brands Get

10–30 fresh accounts posting daily about their product. 300+ organic content tests per month. Full conversion tracking — not just views and likes, but actual website traffic attributed through Google Analytics. 12-month content rights for paid ad whitelisting. Monthly creator rotation: top performers stay, underperformers get replaced.

Clients see a dashboard with video performance, creator leaderboards, and content libraries. Underneath, our internal tooling automates the entire pipeline: creator recruitment, onboarding, social listening, account warming, daily posting schedules, and performance scoring. That operational layer is what makes this work at scale and what clients can't replicate.

"You're the only company that gives us conversion data, not just engagement metrics." — Yoann, AIApply

Traction

Metric Number
ARR ~$620K (from $0 in Nov 2025)
Paying clients 7 brands, contracts $3K–$20K/mo
Close rate 80% from booked calls
Cold response rate 17% (vs. 2–3% industry standard)
Sales cycle 24–48 hours
Creators 100+ across 10+ countries
Churn Zero on retained clients

Month one is learning — testing creators, finding formats, understanding the brand. Month two is where results spike. AIApply ($10K/mo) retained and expanded to Canada, Brazil, and UAE. JobCopilot started in the US, increased their contract by 50% and is now scaling to Canada. Mozart AI signed at $20K/mo. The pattern: clients start small, see the data, then scale.

Business Model

Subscription. $800–1,200 per creator per month. Typical packages: 10–30 creators. Contracts range $3K–$30K/month with recurring auto-renewal. We pay creators $400/mo base. Gross margins improve with every new campaign because our recruitment, training, and management costs compress with automation.

Market

$280B digital advertising market with declining ROAS. 50,000 consumer brands spend $50K–$500K/month on performance marketing. Today we capture a slice of that through UGC coordination. But clients are already asking us to run their paid ads too — take the organic winners and deploy them across Meta, TikTok, and Google. That moves us from 10% of the marketing budget to 50%. The wedge is creator coordination. The endgame is owning the full performance marketing stack.

Why Now

Team

Jaka Bavdek — CEO. Scaled eMatura to €500K ARR across 11 European markets using this exact playbook. Coordinated 200+ creators and 50M+ views. Built Epistemy (AI voice agents for negotiation and sales training) to $28K MRR across 6 countries with a 14-person team, starting in Singapore. Moved to SF in January 2026.

Teo Bui — CTO & Co-founder. Imperial College London (Design Engineering, Dean's List). ML engineer at Cleo (fintech unicorn) — built infrastructure across five teams spanning frontend, backend, and machine learning. Previously CTO of a ridesharing startup, coordinating hundreds of users in real-time. Built 8x's entire technical platform solo: marketplace, creator pipeline, Stripe Connect payments, TikTok/Instagram analytics sync, brand dashboards, and AI-powered tooling.

Growing ops team across US, UK, Poland, Pakistan, France. Currently in Entrepreneur First SF. Demo day late April 2026.

Competitive Edge

Platforms like Modash and Insense are matching layers — everyone fights over the same pool of existing influencers. We don't compete for supply. We create it. We recruit, train, and manage our own global creator network from scratch. That means we control the unit economics: ~$13–20 cost per post, 60% gross margins, operating across 10+ countries. Traditional agencies charge $500–$5,000 per post. We orchestrate the human labour — creator incentives, quality, rotation — and that operational layer is what makes the margins work at scale.

The Raise

Target: $1M ARR by April, $5M ARR by end of year. Raising a seed round to build the infrastructure that turns a working service into a scalable platform.

Series A ready at 18 months.