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Cover

Problem

Solution

Product

How It Works

Why Now

Market

Target Customer

Business Model

Traction

Go-to-Market

Competition

Moat

Roadmap

Team

Financials

Fundraise

Vision

Problem

Michael J.

Investor-readiness score

5/10

Score Breakdown

Data Strength

7/10

Structure

5/10

Clarity

4/10

Emotional Impact

3/10

Design

3/10

Feedback

  1. Hierarchy

Your strongest asset, the 40% stat, is buried as the third bullet instead of leading the slide. Investors typically spend 3-4 seconds here before moving on. When a strong stat sits at the same visual weight as two soft bullets, it reads as a list, not proof. It should be the first thing on the page, sized so it can't be missed.

  1. Point of view

All three bullets are written from the company's point of view ("systems are disconnected," "routing is manual") rather than the customer's. This reads like an internal audit. Investors respond far more to a problem slide that sounds like a real person complaining about their day, not a diagnosis of a system.

  1. Missing cost

Finally, there's no sense of cost. You describe what's broken, but not what it's costing someone - in hours, dollars, or missed deals. That's usually the single biggest lever on a problem slide, and it's currently missing entirely.

  1. Density

Around 45 words on the slide right now. Problem slides that land well in raises usually sit closer to 15-20. Every extra word is competing with the stat for attention it should already own outright.

Fix

Lead with the strongest stat

Identify the single most surprising or credible number on the slide and make it the first thing read, not the third bullet. Everything else should feel like it's supporting that number, not competing with it for attention.

Write from the customer's perspective

Go through each bullet and ask "would a customer actually say this out loud?" If a line sounds like an internal systems audit rather than a complaint a real person would make, rewrite it as something that person would actually say or feel.

Translate the problem into a cost

Whatever stat or pain point you're leading with, find a way to express it in dollars or hours lost, not just a percentage or description. Investors remember cost figures far longer than abstract inefficiency claims.

Cut to two supporting points, not three

Check whether your third bullet actually adds new information or just restates the first two differently. If it's redundant, cut it. Two sharp points read faster and hit harder than three moderate ones.

Demo booked!

Thank you! We have received your submission and we will get back to you shortly.

You can expect to be contacted within 1-2 business days.

Demo booked!

Thank you! We have received your submission and we will get back to you shortly.

You can expect to be contacted within 1-2 business days.

FAQ

Frequently Asked
Questions

Who's reviewing my deck?

Someone who's worked on both sides of the table - as a designer, an advisor, and now an angel investor.

What's your background with startups?

I've helped 50+ startups prepare for funding rounds, crafting the pitch decks that got them in front of investors. I later moved into an advisory role at two companies, guiding them through hypergrowth to Series D and Series F.

Why should I trust your feedback?

That experience led me to become an angel investor myself - so when I review your deck, you're getting the same lens investors will actually use, not just a designer's opinion.

What exactly happens after I submit my deck?

Once you submit your deck and share context about your startup, I go through it slide by slide and put together detailed, specific feedback - not general comments.

Do you invest in the startups whose decks you review?

Yes - I'm an active angel investor. If your deck stands out as one of the most interesting ones I review, you may receive an offer directly from me.

Why do you review decks in the first place?

Two reasons. First, and most important, I genuinely want to help founders raise - a stronger deck means a better shot at getting funded. Second, it helps me stay close to the best early-stage startups out there, so it works both ways: founders get real feedback, and I get a front-row seat to the most promising companies to potentially invest in.

Do you use AI to write the reviews?

No. I personally review every deck that comes in. I do use my own trained models and agents to help speed up parts of the process, like flagging patterns or organizing initial notes, but every piece of feedback you receive is checked and finalized under my direct review. Nothing goes out without me actually looking at your deck and standing behind the feedback myself.

Who's reviewing my deck?

Someone who's worked on both sides of the table - as a designer, an advisor, and now an angel investor.

What's your background with startups?

I've helped 50+ startups prepare for funding rounds, crafting the pitch decks that got them in front of investors. I later moved into an advisory role at two companies, guiding them through hypergrowth to Series D and Series F.

Why should I trust your feedback?

That experience led me to become an angel investor myself - so when I review your deck, you're getting the same lens investors will actually use, not just a designer's opinion.

What exactly happens after I submit my deck?

Once you submit your deck and share context about your startup, I go through it slide by slide and put together detailed, specific feedback - not general comments.

Do you invest in the startups whose decks you review?

Yes - I'm an active angel investor. If your deck stands out as one of the most interesting ones I review, you may receive an offer directly from me.

Why do you review decks in the first place?

Two reasons. First, and most important, I genuinely want to help founders raise - a stronger deck means a better shot at getting funded. Second, it helps me stay close to the best early-stage startups out there, so it works both ways: founders get real feedback, and I get a front-row seat to the most promising companies to potentially invest in.

Do you use AI to write the reviews?

No. I personally review every deck that comes in. I do use my own trained models and agents to help speed up parts of the process, like flagging patterns or organizing initial notes, but every piece of feedback you receive is checked and finalized under my direct review. Nothing goes out without me actually looking at your deck and standing behind the feedback myself.

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