15 seconds to domination.
Record a 15-second voice memo. FusionDomination produces 14 pieces of content in your voice and schedules them across 18 social channels. Production-deployed. Founder-led. Backing the omnichannel layer of the AI-native creator era.
Creators are drowning in production.
Brands are paying for it.
49% of monetising creators spend 20+ hours a week just on content production — re-cutting one idea into a tweet, a LinkedIn post, an Instagram carousel, a YouTube short, a TikTok, a podcast clip. The "reformatting tax" is the bottleneck of the entire creator economy.
Only 4% of creators earn over US$100,000 a year. The other 96% can't afford a content team. They're stuck choosing between going deep on one channel (single-platform risk) or thin across many (no compounding).
The old way
Hire a content team (US$150K+/yr). Manage them. Pray they understand brand voice. Watch margins shrink. Most creators can't do this — they stay solo and undershoot every channel.
The new way
One voice memo. Fusion produces every format. Captions tuned per platform. Auto-scheduled. Brand voice preserved. The whole content team — without the team.
The omnichannel layer for solo creators.
Fusion is the missing layer between "I have an idea" and "it's published everywhere." We don't generate generic AI slop — we extract the founder's actual voice from a short recording, then orchestrate purpose-built models for each format (blog, X thread, LinkedIn long, podcast, carousel, audiogram, short video). Each output is platform-native. Each one is brand-consistent.
What gets produced from one voice memo:
- Long-form · Blog post · LinkedIn long-form · Newsletter
- Short-form text · X post · X thread · Quote cards
- Visual · Infographic · IG carousel · LinkedIn carousel · Single image post
- Audio · Solo podcast · Dialogue podcast (auto-distributed to Apple, Spotify, +10 directories via RSS)
- Video · Vertical short (TikTok, Reels, YouTube Shorts, FB Reels) · Audiogram with captions
Every piece carries the founder's voice. Every piece auto-publishes to its right channel at the right time. The product runs end-to-end without manual intervention.
Product demo
A $480B creator economy.
$18B marketing-automation TAM by 2030.
Goldman Sachs projects the creator economy will roughly double to US$480 billion by 2027. Marketing automation SaaS is on a 15.3% CAGR to US$18 billion by 2030 (Grand View Research). 50 million creators globally, growing 10–20% per year.
Sources: Goldman Sachs Research, Linktree Creator Economy Report, Grand View Research, Mordor Intelligence.
Tiered SaaS. Subscription + usage.
Monthly recurring revenue with a usage-based credit overage on top. Marginal cost per piece is under US$2 (LLM + voice + image gen). Gross margins target 75-85% at the Pro tier and above.
Built in 8 weeks. Live in production.
Fusion isn't a deck dream — the full pipeline is production-deployed, the founder uses it daily, and every distribution endpoint listed below has been tested with real publish events on real social accounts.
- Voice → 14 formats → 18 channels: shipped end-to-end
- Live integrations: TikTok, Instagram, YouTube Shorts, Facebook, LinkedIn, X (via upload-post.com adapter)
- Podcast RSS distribution: Apple Podcasts, Spotify, Google, Overcast, Pocket Casts, Castbox, Amazon Music, iHeart (+ four more)
- Voice cloning: Vince's voice clone generating daily podcast episodes (ElevenLabs + Jellypod)
- Per-artifact scheduling UI shipped and tested
- Multi-tenant architecture with billing gates and per-tenant cost tracking operational
- Stack: Next.js 15 · Postgres + Drizzle · Inngest · Vercel · ElevenLabs · Jellypod · OpenRouter · Cloudflare R2
Why this matters for investors
Most creator-tool startups raise on a deck and a Figma frame. Fusion is built. The marginal cost per content piece is measured (under US$2), not projected. The integrations are live, not promised. Day-one product risk is materially lower than the category average.
Founder-led. Dogfooded daily.
Fusion is built by a founder who is also the product's primary user. That feedback loop — building the tool you ship content with every day — is the company's most underrated moat. Most creator-tool startups fail because they're built by engineers who don't create.
Hiring plan post-raise: senior full-stack engineer, growth lead, designer. Roles defined; runway in use-of-funds breakdown below.
Where every ringgit goes.
Allocation is product-led: most of the raise extends the runway of the founder + 2-3 new hires while we get to product-market-fit signal at the Pro tier.
Runway
This raise targets 18-24 months of runway at the planned hiring pace, sized to reach 1,000 paying creators on the Pro tier (≈US$99K MRR) before the next institutional round.
Detailed cash-flow forecast in the financial documents linked at the bottom.
Deal structure.
Equity offered via Pitchin. Standard terms for a Malaysian early-stage ECF round. Final structure subject to SC approval and Pitchin's documentation.
| Security type | Ordinary equity shares |
|---|---|
| Minimum investment | RM 1,000 |
| Valuation (pre-money) | To be disclosed at launch |
| Target raise | To be disclosed at launch |
| Equity offered | Indicative 10-15% |
| Campaign duration | 30 days (extendable to 60) |
| Lock-up | 12 months post-close |
| Voting | Investor nominee director if > 10% raised by one party |
Italicised figures are placeholders pending platform approval. Pitchin will publish final figures with the campaign launch.
Projections.
All figures below are illustrative projections, not guarantees. Detailed assumptions in the full financial pack linked under Documents.
| Year 1 | 1,000 paying creators · US$1.2M ARR · 78% gross margin |
|---|---|
| Year 2 | 10,000 paying creators · US$12M ARR · 82% gross margin |
| Year 3 | 50,000 paying creators · US$60M ARR · 85% gross margin |
| LTV/CAC target | 3-5× (warm-audience GTM) |
| Net revenue retention target | 110%+ (creator SaaS benchmark) |
| Path to profitability | End of Year 2 at planned hiring trajectory |
What could go wrong.
Equity crowdfunding investments are high-risk. Investors should only commit what they can afford to lose entirely. Specific risks to Fusion:
Platform-API risk
Social platforms can change their publishing APIs. We rely on upload-post.com as a multi-platform adapter to insulate us, but a downstream API rotation can break a channel temporarily.
AI-model dependency risk
We use OpenRouter to abstract model providers (Claude, GPT, Gemini). Costs can fluctuate. Voice cloning depends on ElevenLabs + Jellypod — provider switches require engineering effort.
Single-founder execution risk
Fusion was built solo. Key-person risk is real. The raise funds hiring to de-risk this.
Competitive risk
Buffer / Hootsuite (scheduling), Repurpose / OpusClip (clipping), HeyGen / Synthesia (avatar video) are all adjacent. None do input→omnichannel today, but well-capitalised incumbents could enter the orchestration layer.
Investor questions.
How is this different from Buffer or Hootsuite?
Buffer and Hootsuite are scheduling tools — they don't generate content. You still have to write the post, design the carousel, edit the video. Fusion sits one layer above: voice in → finished content out → scheduling automatic. Buffer is downstream of us, not a substitute.
What's stopping ChatGPT or Claude from doing this natively?
Single LLM calls produce generic text. Fusion's value is the orchestration layer — 14 specialised pipelines (video composition, audiogram captioning, podcast RSS distribution, platform-specific copy tuning) wired into 18 publishing endpoints. That's 12+ months of engineering. OpenAI builds LLMs; they don't build vertical SaaS.
What if a social platform like TikTok blocks third-party publishing?
We use upload-post.com, a multi-platform adapter that maintains relationships across TikTok, Instagram, YouTube, FB, LinkedIn, X, Threads, Reddit, Pinterest, Bluesky, Google Business. If one channel changes terms, we have ten others. The adapter pattern means we don't carry per-platform risk directly.
How much does Fusion cost to run per content piece?
Under US$2 marginal cost at current LLM + voice + image-gen pricing. We've measured this on real content pieces. Costs trend downward as model providers compete on inference price. Our Pro tier (US$99/mo for 50 pieces) targets a 75%+ gross margin even at high usage.
What's the path to liquidity for ECF investors?
Two paths. Path A (preferred): follow-on institutional round at Year 2 with secondary participation available. Path B: strategic acquisition by Adobe / Salesforce / Hubspot at Year 3-5. Creator-tool acquisitions in this category have averaged 8-12× ARR multiples (Hopin/StreamYard at US$250M, Descript at unicorn valuation).
Why crowdfund instead of going to VCs?
We are. ECF is the first tranche, optimised for our community and product users — people who already use Fusion-powered content (Vince's masterclass audience) and want a stake. Strategic-VC conversations run in parallel. ECF aligns incentives: our earliest investors are our most active users and evangelists.
Who's on the cap table after this raise?
Founder retains majority. ECF investors get the indicated equity (10-15%). No external institutional capital yet. Clean cap table going into the next institutional round.
Can I see the product before I invest?
Yes. The demo video at the top of this page is the real product running. The interactive walkthrough below the Solution section is the actual UI. Request a live demo at me@vincetan.com.
Due diligence pack.
Full financial model, IP register, employment contracts, and product architecture deep-dive available on request via the Pitchin investor portal.
- Pitch deck (PDF)
- 5-year financial model (Excel)
- Articles of Association
- Shareholders agreement (template)
- Founder employment terms
- IP assignment confirmations
- Letters from anchor investors (where applicable)
Back the omnichannel layer
for every creator.
Equity crowdfunding closes when the campaign timer runs out. Minimum investment RM 1,000. Become an early investor in the content infrastructure of the AI era.
Invest now →Or email me@vincetan.com for a private discussion.