Business Model
Revenue model, pricing, unit economics, projections
Business Model
Revenue Streams
| Stream |
Year 3 Mix |
Gross Margin |
Driver |
| Subscriptions |
70% |
89-92% |
Tiered SaaS plans, usage expansion |
| Marketplace |
15% |
95% |
Creator economy, 20% commission |
| Services |
10% |
60% |
Training, custom development |
| Enterprise |
5% |
85% |
White-label, on-premise |
Pricing
|
Free |
Pro |
Team |
Enterprise |
| Price |
$0/mo |
$49/mo |
$199/mo |
$5,000+/mo |
| Universes |
1 |
5 |
20 |
Unlimited |
| Team |
1 |
1 |
5 |
Unlimited |
| AI Requests |
100/mo |
1,000/mo |
10,000/mo |
Unlimited |
| Custom Domain |
- |
Yes |
Yes |
Yes |
| White-label |
- |
- |
Yes |
Yes |
| Sandboxes |
- |
Shared |
Dedicated |
Fleet |
| SLA |
- |
99.9% |
99.95% |
99.99% |
Free tier drives adoption. Feature gates trigger natural upgrades.
Unit Economics
| Metric |
Pro |
Team |
Enterprise |
Blended |
| CAC |
$150 |
$250 |
$2,000 |
$200 |
| Monthly Revenue |
$49 |
$199 |
$10,000 |
$150 |
| Avg Tenure |
18 mo |
24 mo |
36 mo |
24 mo |
| LTV |
$882 |
$4,776 |
$360,000 |
$15,000 |
| LTV:CAC |
5.9:1 |
19:1 |
180:1 |
75:1 |
| Payback |
3 mo |
1.3 mo |
0.2 mo |
1.3 mo |
AI Gross Margins
The question on every investor's mind: how do compute costs affect margins?
| Strategy |
Impact |
| Multi-model routing |
60%+ of tasks on lower-cost models (Haiku, Flash, DeepSeek) |
| Decision caching |
Vector memory retrieval eliminates redundant LLM calls |
| Preflight efficiency |
15x fewer input tokens than naive approaches |
| Inference cost decline |
10x/year improvement — margins widen passively |
| Tier |
Compute/User/mo |
Revenue/User/mo |
Gross Margin |
| Pro |
$5 |
$49 |
90% |
| Team |
$15 |
$199 |
92% |
| Enterprise |
$200 |
$10,000 |
98% |
| Blended |
|
|
89% |
Growth Engine
Viral coefficient: 1.5. Deployed platforms show "Built with GoGrab" (opt-out for Team+). Whistle feature pulls colleagues in. Marketplace creates discovery.
Net revenue retention target: 130%. Expansion via tier upgrades, additional universes, team growth, AI quota increases, and marketplace activity.
| Acquisition Channel |
CAC |
Conv. Rate |
| Product-led growth (free tier, virality) |
$0 |
15% |
| Content / SEO |
$50 |
5% |
| Community (Discord, events) |
$25 |
12% |
| Partnerships (agencies, accelerators) |
$100 |
8% |
| Paid (phase 2, after PLG proven) |
$200 |
3% |
5-Year Projections
| Year |
Customers |
ARPU/mo |
ARR |
EBITDA |
| 2026 |
10,000 |
$100 |
$12M |
-$5M |
| 2027 |
50,000 |
$120 |
$60M |
-$2M |
| 2028 |
150,000 |
$120 |
$180M |
Break even |
| 2029 |
400,000 |
$120 |
$480M |
+$50M |
| 2030 |
1,000,000 |
$120 |
$1.2B |
+$300M |
For context: Lovable hit $200M ARR in 12 months. Bolt.new hit $40M ARR in 5 months. Our Year 1 target of $12M is conservative relative to demonstrated market velocity.
Milestones
| Target |
When |
Significance |
| $1M ARR |
Q2 2026 |
PMF validated |
| $10M ARR |
Q4 2026 |
Series A ready |
| Cash flow positive |
Q2 2028 |
Self-sustaining |
| $100M ARR |
Q3 2028 |
Series B ready |
| $1B ARR |
2030 |
|