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ENTP325-Spring2018-Week6.pptx

ENTP 325 Early Stage Venture Financing Week #6

This week (slight change from syllabus)

Tuesday

Getting in front of Angels

Thursday

Guest speaker: Angel investor Glenn Gaddy

Sunday

Angel investor paper

Angel math (what investors want)

Early-stage risk assessment

Pitchbot team exercise

Angel investor analysis paper

Using what you’ve learned from the David Rose book, the lectures, guest speakers and suggested resources, develop a 4-5 page paper on your perspectives of angel investing.

Specifically address topics such as:

what does it take to be an angel investor

what types of companies qualify for angel investing

what do angel investors look for

when do they invest

how do they invest (evaluate their investment decisions)

how can startups most effectively pitch to angel investors

Including examples, references, interviews (startups and investors) and other information to support your analysis

Compare investment scenarios w/examples and cap tables at http://captable.io

Start NewCo with 12M authorized shares

Founders at 4M shares each

Option pool with 2M shares

Review cap table

Click “quick create” button

Add convertible instrument

Review note type to see different options

Principal $100,000 with maturity date two years out

Conversion discount 20%

Valuation cap $2M

Review cap table. What do you notice?

Now go to Scenarios

New investment $1M with $4M post money and effective date and keep existing option pool

What did convertible debt investor get with this round?

Now edit the note (go to cap table / timeline) and lower valuation cap to $1M and go back to scenario

What is the new convertible debt investor % ?

Getting in front of Angels with effective investor pitches

Warning signs in pitches

12

This is absolutely going to be 100X return

Our financials are conservative

We have no competition

We’re unique in the mobile/social/web space

I know investors want to steal my idea

We’re Uber for X

All we need is 2% market share

Our competitive advantage is that we’re first to market

Other investors just don’t get us

Our competitor had a big valuation so we deserve one too

Angel math

What investors want

Truths

Most startups fail

No one knows which are not going to fail

Investing in startups is a numbers game

What ends up, usually went down first (J-curve)

All companies always need more money

If you understand the above, you can make money as an angel investor

Investor concerns in getting started

How much should you invest?

How do you choose the right company in which to invest?

How should you make your decisions?

How do you get dealflow?

How do you construct a portfolio?

How much should you hope to own of a company?

How does dilution work?

What’s the difference between a safe, a convertible note, and equity?

Are those the same thing as options?

How is a cap table structured?

How should investors work with companies?

Four numbers for angels’ bottom line

The amount of money invested

The value of the company when sold

The number of years between those two events

The value of the company when invested

Example: Return on Investment

Investment of $100 for 10% of the company

One year later the company is sold for $10,000

Investor will receive $1,000

Return on Investment = $1,000 / $100 = 10% (10x)

What other factor is important?

Answer: time value of money

The idea that money available at the present time is worth more than the same amount in the future due to its potential earning capacity.

Would you rather have one investment return 100x in ten years or have an investment return of 10x every year?

Example: Internal Rate of Return

Internal Rate of Return factors in time

That 10x return is great for one year ~900% but maybe not so great if you had to wait 4 years (77%)

Why?

The longer you wait, the higher the return on investment needs to be

How much should angels invest?

No more than 10% of their free cash flow

~$15-25K per deal (though may be higher)

Invest across many (e.g. 30) deals

Seek IRR ~25%

Angel Math: Ten investments

Five likely to fail completely

Two return just the capital invested

2 decent successes

1 great success

Angel math

Without going into the detailed math, one company needs to return 3 times the value of the entire angel’s investment in all ten companies meaning that is needs to have a 30x return

Example, if I have $1M to spend across ten companies equally then one needs to return $3M to me

Means a $10M post-money valuation must exit for $300M to return sufficient capital

So pressure is to negotiate a lower valuation/cap from the startup

E.g. $1.5M valuation instead of $10M means exit at $45M which will be easier

And this isn’t even figuring in later investment dilution and other deal provisions

Captable.io exercise

Start with new cap table

Add Common Stock

11M Authorized Shares

Allocate 10M to self or split with co-founders

Add Stock plan

1M shares

Review cap table

Investor has purchased a SAFE for $100,000 with Valuation Cap at $5M

Go to Securities / Convertible Instruments and issue instrument

Note type – Y Combinator SAFE

Principal $100,000

Cap $5M

0% discount

Go to Stockholders and review ownership

Note the SAFE holder has 0% ownership

Go to Securities and review stock setup

The company negotiates to sell $1M worth of Series A Preferred Stock at $10M pre-money

What will be the post-money valuation?

$11,000,000

What will be the price per share?

$0.909

Calculated as $10M/$11M

What price will the SAFE holder get?

The company negotiates to sell $1M worth of Series A Preferred Stock at $10M pre-money

To make this happen, the company will need to issue and sell 1,100,110 shares of Series A Preferred at $0.909 per share to the new investors.

Securities / Create New Class / issue 1,100,110 preferred shares

Issue stock to new shareholder – Quick Create, Grant Stock

The SAFE will convert so the company will issue and sell 242,002 shares of Series A-1 Preferred to the safe holder, at $0.4545 per share.

Securities / Create New Class / issues 242,002 preferred shares

Securities / Convertible instruments / Convert All to Stock

Review cap table and shareholders

Early-stage risk assessment

Startups are a collection of risks

Technology Risk

Single indication vs. platform technology

Market Risk

Small, niche market vs. large and growing market

Addressing key unmet needs vs. crowded, competitive market

Intellectual Property

Crowded, well patented space vs. open white space

Regulatory Risk

NDA

Management Risk

Experience in similar industry / product / technology

Existing relationships with investor base

Financing Risk

Investment activity in technology sector

Financing risk at next stage; ability to achieve key milestones

PMA vs 510(k)

Freedom to Operate

CE Mark

Exit strategy – IPO, acquisition, license, trade sale, etc.

Few, provisional applications vs. several issued patents

Early feasibility work vs. built and functional prototypes

Technological Killer Experiment(s)

Is it reimbursable

Risk spectrum analysis tool

The entries on each risk spectrum analysis are rated from 1 (high risk) to 5 (low risk).

Your goal is to move away from the 1's and toward the 5’s.

For example, if you were trying to prove to a friend that you could bake a great cake, then the risk spectrum might look like this:

[1] You've never baked a cake before, but you're sure you could do a good job.

[2] You show your friend a picture of a nice cake you made in the past.

[4] You introduce your friend to people who have previously tasted your cakes and loved them.

[5] You let your friend taste an amazing cake that you just made.

High-level risk assessment

Principle #1: showing is better than telling.

[1] You think you can do XYZ.

[3] You've done XYZ in the past.

[5] You're currently doing XYZ, and doing it well.

Principle #2: external validation is stronger than your personal opinion.

[1] You claim XYZ.

[3] Numerous people who affiliated with you (friends/accelerator/etc.) claim XYZ.

[5] Numerous people who are completely unaffiliated with you claim XYZ.

Principle #3: more data is better.

[1] Your product has 0 sales.

[3] Your product has 5 sales.

[5] Your product has 50 sales.

Product/Market Fit Risk Assessment example

[1] You think people will want to use your product.

[2] You have some early users, but they're all affiliated with you

[3] You have some early unaffiliated users, but user acquisition economics aren't great.

[4] Your user base is growing organically at a moderate rate.

[4] Your user base is growing quickly through affordable paid acquisition.

[5] Your user base is exploding through referrals and word of mouth.

Handling risk

Remember that investors want to see the opportunity but they will be evaluating you based on the risks

The more you know about your risks the more professional you come off and ready for investment

Enables you to have open and honest conversations with your team and investors

More on Risk spectrum analysis at https://codingvc.com/how-to-de-risk-a-startup/

Can risk assessment be automated? The chatbot approach Pitchbot exercise

https://pitchbot.vc/

Guest speaker: Angel investor Glenn Gaddy

This week’s readings (complete by end of week)

Best Practice Guidance for Angel Groups – Deal Structure and Negotiation

36

Angel investor analysis paper – due Sunday by midnight

Using what you’ve learned from the David Rose book, the lectures, guest speakers and suggested resources, develop a 4-5 page paper on your perspectives of angel investing.

Specifically address topics such as:

what does it take to be an angel investor

what types of companies qualify for angel investing

what do angel investors look for

when do they invest

how do they invest (evaluate their investment decisions)

how can startups most effectively pitch to angel investors

Including examples, references, interviews (startups and investors) and other information to support your analysis

Next week

Tuesday

Venture capital overview

Thursday

Term sheets 1: overview

Sunday

Quiz #3 (focus on angel

Team exercise: equity

investment simulation

investing)

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