Fundraising readiness, by an AI investor team

Get roasted
before investors do.

Upload your pitch deck, business model, forecast, and data room. A firm of brutal AI analysts gives you investor-style feedback on the narrative, the numbers, the assumptions, the red flags, and the diligence gaps that make VCs pass.

25 analysts · 5 artifacts · brutal, then constructive

Meet the firm that won’t flatter you

Every analyst has one lens and zero patience.
They quote your own words back at you, then hand you the fix.

🔍
Lead Analyst
Pitch Deck

Your opener is “the world is changing.” So is the weather.

Fix: Lead with one specific, falsifiable insight by slide two.
📊
Market Researcher
Pitch Deck

A “$500B TAM” with no source is a number you Googled.

Fix: Build it bottoms-up and name the wedge you win first.
💰
Financial Analyst
Pitch Deck

You showed me revenue and hid the cost side entirely.

Fix: Add a P&L slide and compute your burn multiple out loud.
🛡️
Due Diligence
Pitch Deck

Three of these claims won't survive one reference call.

Fix: Flag every claim to validate before the term sheet.
🎯
Investment Strategist
Pitch Deck

“AI” is not a moat. Neither is “first mover.”

Fix: Name the real lock-in: data, distribution, or switching cost.
🧭
Pattern Recognizer
Pitch Deck

This is three companies wearing one trench coat.

Fix: Pick one. Name the precedent that actually won.
🔍
Lead Analyst
Pitch Deck

Your opener is “the world is changing.” So is the weather.

Fix: Lead with one specific, falsifiable insight by slide two.
📊
Market Researcher
Pitch Deck

A “$500B TAM” with no source is a number you Googled.

Fix: Build it bottoms-up and name the wedge you win first.
💰
Financial Analyst
Pitch Deck

You showed me revenue and hid the cost side entirely.

Fix: Add a P&L slide and compute your burn multiple out loud.
🛡️
Due Diligence
Pitch Deck

Three of these claims won't survive one reference call.

Fix: Flag every claim to validate before the term sheet.
🎯
Investment Strategist
Pitch Deck

“AI” is not a moat. Neither is “first mover.”

Fix: Name the real lock-in: data, distribution, or switching cost.
🧭
Pattern Recognizer
Pitch Deck

This is three companies wearing one trench coat.

Fix: Pick one. Name the precedent that actually won.
🪙
IC Partner
Pitch Deck

I'm not writing this check until slide 13 has a number.

Fix: Give me the one metric that unblocks the committee.
📈
Growth Curve Analyst
Forecast

A flat line that snaps vertical at month 9 is a wish.

Fix: Name the mechanism behind the inflection, with a date.
🔬
Sensitivity Tester
Forecast

Drop conversion 30% and you're out of runway by Q3.

Fix: Publish the base case right next to the plan case.
💵
Pricing Auditor
Business Model

A $99 tier can't average a $14K ACV. Do the math.

Fix: Add a tier between Pro and Enterprise to capture mid-market.
🏰
Moat-in-the-Model
Business Model

Your “moat” is a feature with a one-week switching cost.

Fix: Show the integration depth that makes leaving painful.
📐
Sequencing Auditor
Data Room

You're pitching Step 3 with a Step 1 that's six weeks old.

Fix: Prove the wedge before you sell the empire.
🪙
IC Partner
Pitch Deck

I'm not writing this check until slide 13 has a number.

Fix: Give me the one metric that unblocks the committee.
📈
Growth Curve Analyst
Forecast

A flat line that snaps vertical at month 9 is a wish.

Fix: Name the mechanism behind the inflection, with a date.
🔬
Sensitivity Tester
Forecast

Drop conversion 30% and you're out of runway by Q3.

Fix: Publish the base case right next to the plan case.
💵
Pricing Auditor
Business Model

A $99 tier can't average a $14K ACV. Do the math.

Fix: Add a tier between Pro and Enterprise to capture mid-market.
🏰
Moat-in-the-Model
Business Model

Your “moat” is a feature with a one-week switching cost.

Fix: Show the integration depth that makes leaving painful.
📐
Sequencing Auditor
Data Room

You're pitching Step 3 with a Step 1 that's six weeks old.

Fix: Prove the wedge before you sell the empire.

The roast is sharp. The fix is specific.

No vague “tighten the narrative.” Every critique comes with the exact slide, the exact number, and the exact change.

The roast

“You’re asking for $20M and the deck doesn’t have a single line of cost structure. Slide 13 shows the ask and nothing else.”

The fix

Add a P&L slide with trailing-12 revenue, COGS, opex, and net burn. Compute the burn multiple out loud. Re-state the ask with pre-money, post-money, and dilution.

Roast every artifact of the raise

Each one gets its own specialist firm. Or hand over the whole package and let a partner connect the dots.

Pitch Deck

Narrative, market, traction, economics, and moat, reviewed slide by slide.

Forecast

Eight quants stress-test the curve, the funnel, the cohorts, and what breaks if a number misses by 30%.

Business Model

Pricing, take-rate, channels, and lock-in, pressure-tested on whether the money-making mechanism actually pencils.

Data Room

Drop one document and the firm judges it for its own job, not for failing to be a full deck.

Full Raise

Hand over everything. Each file goes to its firm, then a partner catches every contradiction between them.

Built for sensitive founder materials

Your fundraising materials are confidential.
Roast My Startup is designed around that assumption.

We don't sell your documents.
We don't publish them.
We don't share them with other users.
We don't use your materials in marketing.
Uploaded materials are used only to generate your requested review.
You can start with redacted files.
Bring your own key: use your own model provider account for more control.

What you get

Every roast becomes one structured fundraising-readiness report you can act on, line by line.

  • Fundraise readiness score
    One headline read on where the package stands.
  • Top pass risks
    The issues most likely to make investors pass.
  • Deck feedback
    Slide by slide, from narrative to economics.
  • Model & forecast feedback
    Assumptions, cohorts, and what breaks under pressure.
  • Cross-file inconsistencies
    Where the deck and the numbers disagree.
  • Missing diligence items
    What investors will ask for that isn't there yet.
  • Likely investor questions
    The objections a partner will raise in the room.
  • Suggested fixes
    The exact change behind every critique.

Not One Prompt.
A Full Investor-Style Review.

A generic chat box can give you an opinion. Roast My Startup runs the review an investment committee actually would.

ChatGPT / Claude
Roast My Startup
One generic VC prompt
25 investor-style review lenses
Usually reviews one file at a time
Reviews deck, model, forecast, and data room together
Output depends heavily on your prompt
A structured pass-risk report, every time
Easy to miss contradictions
Cross-checks the story, the numbers, and the diligence materials
Generic advice
Shaped by real VC advisor feedback from an actual raise

Before you hand over the deck

The questions founders ask right before they get roasted.

A blank chat box gives you a quick opinion on a single deck. You can absolutely ask ChatGPT or Claude to “act like a VC,” and it’ll produce a useful first pass.

But real investor feedback never comes from one voice. One partner cares about market size, another picks apart GTM, another stress-tests the financial assumptions, another hunts for diligence gaps, another questions the competitive story, and someone always checks whether the deck and the model actually agree.

Roast My Startup is built to mimic that entire committee. It reviews your deck, model, forecast, and data room through 25 investor-style lenses: narrative, market, traction, GTM, financial assumptions, competition, diligence gaps, risk, metric consistency, and the objections a partner will actually raise. It then turns that into a structured pass-risk report.

The workflow was shaped by real VC advisor feedback we got while sharpening our own raise, the same process that turned a decent fundraising package into one advisors immediately recognized as much stronger. The point is speed and depth: pressure-test the whole investor package before investors do.

Anything in the raise. Drop a pitch deck (.pptx, .html, .md), a model or forecast (.csv, .tsv, .xlsx), a business model, or a full data room. Each gets its own specialist firm. The real payoff is the Full Raise, which reviews them together and catches the contradictions between your story and your numbers.

Specific enough to act on. No vague “tighten the narrative.” Every critique quotes the exact slide or number that fails and hands you the fix. For example:

  • “Your deck says $2.4M ARR, but your model implies $1.8M recognized revenue.”
  • “Your forecast triples sales headcount with no hiring or ramp assumption.”
  • “Your GTM slide names enterprise logos, but the pricing looks SMB self-serve.”

Brutal first, constructive always. You leave with a punch list, not bruises.

Not with certainty. Fundraising hinges on timing, investor fit, traction, founder credibility, and category, which no tool can guarantee. What it does well is catch the common pass-risk issues: an unclear narrative, unsupported assumptions, inconsistent metrics, missing diligence, weak market framing, or numbers that don’t line up. It’s a pressure-test, not a funding oracle. For very niche markets, treat the feedback as a structured outside review rather than the final word on your space.

No. It helps you show up better prepared before those conversations. A human who knows your company and market deeply is still invaluable. This is a fast first-pass investor-readiness review that clears the obvious issues so your time with real advisors and investors goes further.

It’s most useful for pre-seed through Series A founders preparing for angels, accelerators, seed funds, and early-stage VCs. Later-stage teams can still get value from the model and data-room review, but the product is designed around early fundraising readiness.

Trust is the point. We don’t sell your documents, share them with third parties for marketing, or make them visible to other users. Uploaded materials are used only to generate your analysis.

Decks, models, and forecasts are parsed in your browser, so only the extracted text needed for the review is sent. Every saved session is private to your account, and you can delete any of them anytime from Past sessions.

Not ready to share a full data room yet? Start with a deck-only roast or a redacted version.

No. We don’t train any model on your decks, numbers, or feedback, and we don’t sell or resell training data. Your materials are processed through the AI provider’s API (Anthropic or OpenAI) purely to generate your report, and both providers state that data sent through their APIs isn’t used to train their models by default. At most we look at aggregate, non-identifying usage patterns to improve the product, never your confidential business content.

You can bring your own Anthropic or OpenAI key, or run on hosted credits. Either way, you start in seconds. Bringing your own key runs reviews through your own model provider account at the underlying model cost, which technical founders like for the control and pricing transparency. Stored keys are encrypted, tied to your account, never shown back in the browser, and never used for anyone else’s runs.

Roast My Startup

Ready for the roast?

Better the AI firm finds it before real investors do.