Investor Pitch - Talking Points

30-Minute Presentation Guide

Total Duration: ~15-20 mins presentation + 10-15 mins Q&A

Presentation Tips

Energy: High energy on problem/solution slides, calm confidence on financials

Eye contact: Engage with all decision-makers, not just the person who asked you to present

Pace: Slow down on key numbers (LTV:CAC, EBITDA margins, take rate). Let them sink in.

Storytelling: Use phrases like "Here's why this matters" and "Let me show you how"

Questions: Welcome interruptions - it shows engagement. Answer briefly, offer to go deeper after

Don't: Read slides, apologize, or rush. Confidence is key.

Slide 1: Title Slide

30 seconds

Good morning/afternoon. Thank you for taking the time to meet with us today.

I'm Curtis Haugen, founder and CEO of HaulR.

We're here to talk about a $584 billion opportunity that nobody else is addressing.

We're raising a $5M seed round at a $15M pre-money valuation.

Our tagline says it all: Big or Small, we Haul it All - but our real innovation is how we're solving the gig economy's biggest problem.

Slide 2: The Problem

2 minutes

Let me start with the problem. Right now, gig drivers waste 30-40% of their time driving empty between jobs.

Think about it: A DoorDash driver picks up food, delivers it, then drives back empty to wait for the next order. That's zero revenue for sometimes 15-20 minutes.

This single-stop model means drivers only earn $15-20 per hour after gas - that's below minimum wage in many states.

The result? Massive driver churn, unhappy workers, and an unsustainable business model.

HaulR solves this with AI-powered multi-stop routing. We batch 3-5 deliveries in the same geographic area.

Zero empty drives. Drivers are always moving toward the next pickup or delivery.

This increases utilization from 60% to over 90%, and driver earnings jump to $40-60 per hour.

That's 2-3x more money for the same amount of driving time. This is game-changing for driver retention.

Slide 3: How It Works

2 minutes

Here's how our multi-stop routing works in practice.

Our AI looks at all available jobs in a geographic area and creates optimal routes.

A driver starts at their location, picks up 3-5 packages from different customers, then delivers them all in a single efficient route.

The key insight: mixing delivery sizes. A heavy haul worth $150 anchors the route, then we add 2 medium deliveries at $60 each, plus 2 small packages at $25 each.

That's $320-420 in a 2-hour route versus $100-150 for two single-stop jobs.

The driver earns more, customers pay competitive prices because we're more efficient, and the platform takes a smaller commission.

This is ONLY possible with multi-stop optimization - and we're the only platform doing it.

Slide 4: Market Opportunity

1.5 minutes

The market opportunity is massive: $584 billion TAM across package delivery, food delivery, and ride-sharing.

There are 8 million gig workers in the US alone, and they're all suffering from this inefficiency problem.

We're not trying to capture the whole market. We only need 0.02% market share by Year 5 to hit our projections.

That's realistic because we're solving a real problem that drivers care about.

Our blended take rate of 15-16% is lower than competitors at 18-30%, which gives us room for competitive pricing.

This is a winner-take-most market once network effects kick in - more drivers and customers mean better route optimization.

Slide 5: Financial Projections

2 minutes

Let's talk numbers. We're projecting $48.9 million in revenue by Year 5 with 73% EBITDA margins.

Year 1: 250,000 bookings, $3.6M revenue, slightly negative EBITDA as we invest in growth.

Year 2: We double to 500K bookings, $7.6M revenue, and hit 50% EBITDA margins - that's profitability in Year 2.

By Year 5: 2.8 million bookings, nearly $320M in gross order value, and $35.9M in EBITDA.

These margins are achievable because we're asset-light. No vehicles, no warehouses, just software.

We become cash flow positive by Month 18 and never need to raise again after this seed round, though Series A will accelerate growth.

The key driver: organic growth. We're projecting 140% growth in Year 2 driven primarily by referrals and word of mouth.

Slide 6: Unit Economics

1.5 minutes

Our unit economics are industry-leading. Customer LTV is $203 with a CAC of just $20 by Year 5.

That's a 10.2:1 LTV to CAC ratio - significantly better than most marketplaces.

On the driver side, payback period is 0.3 months - basically instant. Each driver generates $1,740 in annual revenue for us.

Our average transaction size grows from $90 to $114 as we optimize routes and mix delivery types.

The 15% commission rate is our sweet spot - low enough to be competitive, high enough to be profitable at scale.

These economics work because our model solves the core inefficiency. Happy drivers stay longer, reducing our acquisition costs.

Slide 7: Go-to-Market

1.5 minutes

Our go-to-market strategy is deliberately phased to manage capital efficiently.

Phase 1: Phoenix. 5 million metro, ideal beta market with low CAC at $15-20. We validate the model here cheaply.

Phase 2: Dallas-Fort Worth. 7.6 million metro, vehicle-dependent culture, no state income tax attracts drivers. CAC $25-35.

Phase 3: Los Angeles. 13 million metro, largest gig market, premium pricing. We enter here with proven playbook and deeper pockets. CAC $40-60.

This sequence lets us learn and iterate in Phoenix, scale in Dallas, then tackle the most expensive but most lucrative market in LA.

By Year 2, we expand to top 15 metros nationwide. Combined addressable population: 25.6 million.

Slide 8: Competitive Advantage

2 minutes

So why can't Uber or DoorDash just copy us? Four reasons.

First, technology moat. Our AI route optimization is proprietary and took months to develop. Real-time batching of 3-5 stops with different pickup and delivery points is complex.

Second, network effects. More drivers and customers create better routes, which attracts more drivers. It's a flywheel. High retention means lower CAC over time.

Third, cost advantage. Our 15% take rate undercuts everyone - Uber at 18-20%, DoorDash at 18%, Roadie at 20%. We can do this because we're more efficient.

Fourth, market positioning. We're the only multi-vertical platform with transparent bidding. Uber is ride-share with some delivery. DoorDash is food-only. We do everything.

Most importantly: we're driver-first. Our entire value proposition is built around making drivers more money. That loyalty is hard to break.

Slide 9: The Ask

2 minutes

We're raising $5 million in this seed round for 25% equity at a $15M pre-money valuation.

This gives us 36+ months of runway to hit profitability and Series A milestones.

Use of funds: 36% to engineering and product - building out the AI, mobile apps, and platform features.

30% to marketing and customer acquisition - recruiting drivers and acquiring customers in our launch markets.

20% to operations - customer support, driver onboarding, quality assurance.

14% to infrastructure, compliance, and payments. Plus a small reserve for contingencies.

Our milestones are aggressive but achievable: By Month 6, 1,000 drivers and 25K customers in 3 metros.

By Month 12, 2,500 drivers and $3.6M revenue run rate. By Month 24, positive EBITDA and Series A ready.

By Month 36, we're on a path to $48M+ revenue with 28,000 drivers nationwide.

Slide 10: Thank You / Q&A

Remaining time

To wrap up: We're solving a $584 billion market's core inefficiency problem.

Drivers earn 2-3x more with our multi-stop routing - nobody else is doing this.

We have a clear path to profitability in Year 2 and $48M revenue by Year 5 with 73% margins.

Our unit economics are industry-leading with a 10:1 LTV:CAC ratio.

I have 15 years of technical experience building scalable systems, and we're assembling a strong team.

We're ready to execute. Phoenix beta launches within 90 days of funding close.

I'd love to answer any questions you have and discuss how we can work together.

[Common questions to prepare for:]

• Competition: First-mover advantage, driver loyalty, lower take rate

• Regulatory: Model adapts to IC or W2, insurance partnerships in place

• Driver supply: 2-3x earnings attracts drivers, high retention

• Unit economics: Organic growth reduces CAC, subscription revenue adds predictability

• Exit: Strategic buyers (Uber, Amazon) or IPO path at $100M+ revenue

Common Objections & Responses

Objection: "What if Uber copies you?"

Response: "Great question. Three things: First, we have first-mover advantage and are building driver loyalty through 2-3x earnings - that's hard to break. Second, Uber's single-stop model is deeply embedded in their infrastructure and driver expectations. Changing that is like turning a battleship. Third, even if they copy us in 2 years, we'll have network density in our markets that makes our routes better. Plus our 15% take rate vs their 18-20% gives us pricing power."

Objection: "Your CAC assumptions seem low"

Response: "Fair point. We're being conservative with blended CAC at $20-40 depending on market. Our model is primarily organic - drivers recruit other drivers when they see 2-3x earnings. We're projecting 140% growth in Year 2 driven mostly by referrals. Paid acquisition is a backup channel, not our primary growth engine. If CAC is higher, we scale slower but maintain unit economics."

Objection: "Gig worker regulations could hurt you"

Response: "We're prepared for this. Our model works whether drivers are ICs or W2 employees. If we need to shift to W2, we adjust pricing and commissions accordingly. We already have insurance partnerships in place. California's AB5 was a test case for the industry - companies adapted. We're building flexibility into our model from day one."

Objection: "You need more team members"

Response: "Absolutely agree. That's why 36% of this raise goes to building the team. We're hiring a COO, senior engineer, and growth marketer within the first 3 months. By Month 18, we'll have 12-15 team members. I'm the technical founder who built the MVP, but I'm actively recruiting experienced operators to scale. We also have strategic advisors from the logistics and gig economy sectors."

Objection: "What about driver supply risk?"

Response: "This is actually our biggest competitive advantage. Drivers earning $40-60/hour don't leave. Our retention rates will be 2-3x higher than competitors because the economics are sustainable. We're not relying on desperation - we're offering a real livelihood. Plus, with 8 million gig workers in the US, we only need 28,000 by Year 5. That's 0.35% of the available pool."

25 Likely Investor Questions & Answers

Business Model & Economics

Q: How do you make money?

A: We take a 15-16% commission on each transaction. Drivers keep 84-85%, customers pay the agreed price. We also have optional driver subscriptions ($19-49/mo) for priority job access and lower commissions (10-12%).

Q: What's your average transaction size?

A: Year 1 average is $90-100 per booking. By Year 5, it's $114 as we optimize route density and mix larger hauls with smaller packages. Multi-stop routes generate $300-500 per 2-hour block for drivers.

Q: Why is your take rate so much lower than competitors?

A: Because we're more efficient. Multi-stop routing means drivers earn more per hour, so they're willing to accept a lower per-transaction fee. Our costs are also lower - no empty drive time to subsidize. It's a strategic advantage, not a disadvantage.

Q: What prevents drivers from connecting with customers directly and cutting you out?

A: The multi-stop optimization. A driver can't manually create a 5-stop optimized route across different customers. Our AI does the heavy lifting. Plus we handle payments, insurance, dispute resolution, and customer acquisition - all things drivers don't want to manage.

Competition & Market

Q: How are you different from Uber/DoorDash/TaskRabbit?

A: We're the ONLY platform with multi-stop routing. Uber is single-stop rides. DoorDash is single-stop food. TaskRabbit is hourly labor. We batch multiple deliveries into one optimized route, which is why drivers earn 2-3x more.

Q: What if Amazon/Uber builds this feature?

A: They could, but it would cannibalize their existing business model. They've trained drivers to expect single-stop jobs. We're building from scratch with multi-stop as the core model. Plus, we'll have first-mover advantage and driver loyalty through superior economics. By the time they react, we'll have market density.

Q: What about Roadie, GoShare, or other moving apps?

A: Roadie takes 20% commission and is primarily long-haul. GoShare is on-demand labor, not optimized routing. None do multi-stop batching. We're competing on driver earnings and efficiency, not just price.

Q: How big is the addressable market really?

A: $584B total (package delivery $490B, food $54B, rideshare $40B). We're focused on the inefficiency within existing delivery markets - capturing wasted drive time. Even at 0.02% market share in Year 5, that's $48M in revenue.

Growth & Traction

Q: What traction do you have today?

A: We have a working MVP platform, beta testing with 50 drivers in soft launch. We've completed 200+ test deliveries with 4.8/5 average rating. Phoenix full launch is planned for Q2 2026 pending this funding round.

Q: How will you acquire customers?

A: 60% organic (driver referrals, word-of-mouth), 25% paid digital (Facebook/Instagram ads targeting movers, local SEO), 15% partnerships (real estate agents, property managers, college campus ambassadors). CAC target: $15-20 in Phoenix, $40-60 in LA.

Q: How will you recruit drivers?

A: Driver recruitment is actually easiest. We target existing gig workers who are frustrated with low earnings. Our pitch: "Earn $40-60/hour instead of $15-20." We'll use driver referral bonuses ($100 for referring another driver), targeted ads in gig worker Facebook groups, and partnerships with driver networks.

Q: What's your customer retention rate?

A: Targeting 60% annual retention for customers (2-3 bookings per year). Driver retention is much higher - 85%+ annually because of superior economics. High driver retention reduces our CAC significantly.

Operations & Risk

Q: What are your biggest risks?

A: (1) Competition from incumbents - mitigated by first-mover advantage and driver loyalty. (2) Driver supply - mitigated by 2-3x earnings. (3) Regulatory changes - model adapts to IC or W2. (4) Unit economics - we're conservative on CAC and have contingency plans.

Q: How do you handle insurance and liability?

A: We partner with commercial insurance providers. Drivers carry their own commercial auto insurance (verified during onboarding). We provide supplemental cargo insurance up to $50K per delivery. Platform liability insurance covers us for negligence claims. Total insurance cost: ~2% of revenue.

Q: What if gig worker laws change (like California AB5)?

A: Our model is flexible. If drivers become W2 employees, we adjust pricing to cover payroll taxes (~12-15% more), reduce commission slightly, and pass minimal costs to customers. The multi-stop efficiency still exists. We're not dependent on exploiting labor - we're creating better jobs.

Q: How do you prevent fraud or theft?

A: Background checks on all drivers (criminal, driving record). Real-time GPS tracking. Photo verification at pickup and delivery. Customer ratings and reviews. $100K insurance bond. First offense = suspension, second = permanent ban.

Technology & IP

Q: What's your technical moat? Can this be copied?

A: The AI routing algorithm is complex - it has to optimize for multiple variables: driver location, pickup/delivery addresses, package sizes, time windows, driver capacity. We've spent 6 months building this. Yes, it can eventually be copied, but we'll have first-mover advantage, network effects, and driver loyalty by then.

Q: Do you have any patents or IP protection?

A: We're filing a provisional patent on our multi-stop batching algorithm. But our real moat is execution and network effects, not patents. First-mover advantage matters more in marketplaces.

Q: What happens when your algorithm can't find enough jobs to batch?

A: It defaults to single-stop jobs. Drivers still earn more than competitors because of our lower 15% commission. As we gain market density, batching opportunities increase - that's the network effect kicking in.

Team & Execution

Q: Why are you the right person to build this?

A: I have 15 years of technical experience building scalable systems. CISSP and CEH certified. Founded Secure Ascent LLC. I've built the MVP myself, which proves I can execute. I'm also actively recruiting experienced operators - COO with logistics background, senior engineers, growth marketer - to fill my gaps.

Q: Who else is on the team?

A: Currently it's me full-time, plus 2 part-time developers and strategic advisors (logistics veteran, marketplace expert). This $5M round allows us to hire a full team: COO, 2-3 engineers, growth marketer, product manager, operations lead. We'll be 12-15 people by Month 18.

Q: What keeps you up at night?

A: Execution speed. The market opportunity is clear, the model works, but we need to move fast before competitors wake up. That's why I'm raising capital now - to accelerate from Phoenix beta to multi-city rollout within 12 months.

Financials & Exit

Q: When will you be profitable?

A: EBITDA positive in Year 2 (Month 18-24). Cash flow positive by Month 18. We're nearly break-even in Year 1 at just -$50K EBITDA, then jump to $3.8M EBITDA in Year 2 at 50% margins.

Q: What's your exit strategy?

A: Two paths: (1) Strategic acquisition by Uber, Amazon, DoorDash, or logistics players like UPS/FedEx at $100M+ revenue (3-5 years). (2) IPO at $150M+ revenue with national presence (5-7 years). We're building a valuable asset either way.

Q: What's your Series A plan?

A: Series A in 18-24 months at $15-20M raise, $60-80M valuation. Use of funds: expand to 10-15 additional metros, hire 30-40 more employees, invest in enterprise partnerships (property management companies, e-commerce sellers). We'll be profitable by then, so Series A is for growth acceleration, not survival.

Closing Strong

Reiterate the opportunity: "$584B market, we're solving the core inefficiency problem"

Emphasize uniqueness: "We're the ONLY platform doing multi-stop optimization"

Show confidence: "Phoenix beta launches within 90 days of funding close"

Ask for next steps: "I'd love to schedule a follow-up to discuss terms and answer any additional questions"

Leave them with: "The gig economy is broken. We're fixing it, and we're doing it driver-first."

Print this page for your prep notes • Keep it handy during presentation