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AI Startup Jokes That Capture the Whole Hype Cycle

Forty-five AI startup jokes about pre-revenue valuations, wrapper-on-an-API products, founders pitching with a slide deck and a chat box, and the AI-first pivot that hit every Series A this year.

Ishan Karunaratne⏱️ 5 min readUpdated
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Forty-five AI startup jokes covering pitch decks, wrapper products, pre-revenue valuations, AI-first pivots, founders mode, and the hype cycle from peak to trough.

45 AI Startup Jokes

Pitch deck: 47 slides. Demo: a chat box.

"We're pre-revenue." Valuation: $400 million.

Every AI startup is one of three things: A wrapper. A wrapper with a CRM. A wrapper that raised.

"We have a moat." The moat: A system prompt.

The cofounder dropped out of Stanford to start the company. The other cofounder is also from Stanford. The customer base is also from Stanford.

Day one: "We are an AI-first company." Day thirty: "We are an AI-first company that also does sales."

"Our product is built on a custom model." The custom model: GPT-4 with a system prompt.

The seed round was oversubscribed. The product was not.

Every AI startup landing page has the same three sentences in a different order.

"We're seeing strong product-market fit." MRR: $340.

The founder posts on X every 90 minutes. The team has not shipped in three weeks.

"We are vertical AI for legal." The product: ChatGPT with a lawyer disclaimer.

The competitor raised $40M yesterday. The team morale collapsed by lunch.

"We're building AGI." The roadmap: Better onboarding emails.

Every AI startup pivots from B2C to B2B at the six-month mark.

The founders are in San Francisco. The engineers are in São Paulo. The customers do not exist.

"We're hiring." The roles: 14 prompt engineers. Zero salespeople.

The pitch deck claims a $400 billion TAM. The market exists in two PDFs and a Substack.

"Our model has been fine-tuned on proprietary data." The proprietary data: A Notion page.

Every Series A deck contains a slide titled: "Why now." The answer is always: "GPT-4."

The product launches Tuesday. The demo only works on Wednesdays.

"We are profitable." The profit: The credits OpenAI gave us.

Every founder is in "founders mode." Nobody knows what that means. The LinkedIn posts are confident.

"We're hiring a Head of AI." Responsibilities: Make a slide about AI.

The startup raised at a $1B valuation. The founding team: Three people and a Discord.

"We have a strategic partnership with a Fortune 500." The partnership: They signed an NDA.

The launch tweet got 12,000 likes. The waitlist has 14 real names on it.

"Our retention is great." The retention cohort: The four people on the team.

Every AI startup eventually pivots into: "Sales enablement."

The next round will be the down round. Nobody on the team knows yet.

The AI startup's office has no chairs. Founders mode means standing meetings. The engineers quit.

"We're disrupting an $800 billion industry." The industry has not noticed.

Every AI startup has a chief evangelist. The chief evangelist has tweeted 14,000 times. The product has shipped six features.

The startup's onboarding doc opens with: "We move fast." The slowest part of the onboarding: Figuring out which Notion has the doc.

"We rejected term sheets from three Tier-1 funds." The Tier-1 funds: Did not send term sheets.

The startup hired a Head of Growth at month two. Month six: Nobody knows what the Head of Growth grew.

"Our retention is 140%." The metric: Includes a chart the AI generated.

Every AI startup has a competitor. The competitor also has only one customer. The customer is the other startup.

"We're hiring for a 0-to-1 builder." The role: Do everything. The salary: Later.

The launch post said "changing the future of work." The future of work: Writing launch posts.

AI startup metric of the year: "Conversations had."

Series A check arrived. Founder bought: A standing desk, two domain names, and a Cursor team plan. The burn rate already feels concerning.

The YC batch has 200 startups. 160 of them are AI agents. The other 40 are AI agents that have not updated their landing page yet.

Six founders on X take turns posting about each other's launches. Every post says "so proud of what the team has built." The team is the same four people across all six companies.

The deck said vertical AI for forensic accountants. Last quarter it said vertical AI for orchid breeders. The quarter before that it said vertical AI for harbormasters. The product has not shipped, but the PR cycle has.

Why AI startup humor lands harder than any startup humor in a decade

There has been a startup-humor genre since at least the dot-com boom — pets dot com, sock puppets, the WeWork S-1, the WeWork S-1 again. The current AI-startup wave has its own distinct shape: shorter cycles, larger valuations, smaller teams, less product. The jokes work because every reader is currently watching either the wrapper they built, the wrapper their friend raised on, or the wrapper their employer just acquired. The same three sentences on the landing page, the same forty-seven slides in the deck, the same one custom GPT in the moat. The Gartner Hype Cycle has spent decades drawing the curve. This year it is the curve.

The hype cycle, drawn to scale

This is not just a vibe. Gartner's 2023 Hype Cycle for Emerging Technologies put generative AI at the "Peak of Inflated Expectations" for the first time, the point on the curve right before the slide into the Trough of Disillusionment, and named the cause directly: too many products claiming AI inside, with real-world results "nowhere close" to the vendor promises. The startup version of that peak has a recognizable shape: a thin layer of product on someone else's model, pitched as a moat. The industry even has a dismissive name for it, the "wrapper," a company whose entire technical surface is a system prompt and an API key. Some wrappers become real businesses. Most are a landing page, a waitlist, and a Series A raised on a demo. The jokes work because the reader is usually inside one of those three states while reading them.

See also

Sources

Authoritative references this article was fact-checked against.

TagsHumorJokesAIAI StartupsTech HumorVenture CapitalFoundersHype Cycle

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Ishan Karunaratne

Software Systems Architect · Senior Software Engineer · Engineering Leadership

Software systems architect and senior software engineer with more than two decades designing, building, and running production software, Linux systems, and DevOps infrastructure, and lately working AI into the stack. Now a CTO, though what I write here is drawn from the full arc of that work, across architecture, engineering, and operations, not any single job.

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