Guided Play • Quarter 1 of 4
You've learned the core mechanics
Over the last 4 quarters, you've experienced:
Ready to build your startup for real? Start fresh and apply what you've learned!
An AI Startup Simulation
Can you build the next AI unicorn?
It's 2026. AI may be the defining technology of our era.
Economists call it a potential general purpose technology—like steam, electricity, or computing—capable of transforming every sector. But GPTs don't apply themselves. The value lies in identifying and exploiting opportunities: discovering solutions that weren't possible before, disrupting established industries, creating entirely new markets.
Across the UK, a new generation of startups is racing to capture this value. Some spin out from world-leading AI labs, pushing the frontier of what's possible. Others bring deep domain expertise—in healthcare, finance, logistics, creative industries—and see exactly where AI could be transformative. All face the same challenge: turning potential into profit before the window closes.
Now it's your turn. Choose your venture, assemble your team, and chase the ultimate prize: a billion-dollar unicorn.
The potential is enormous. So are the risks.
That's what makes it interesting—and that's how you'll learn.
New to the game? The tutorial takes about 5 minutes.
Average game: 25-40 minutes
The average UK AI unicorn reaches billion-dollar status in just 4.8 years (about 19 quarters)—faster than ever before.
The UK is the third largest AI market globally, after the US and China. World-class AI research spans universities across the country—from Edinburgh to Manchester, Warwick, Bristol, and Cardiff—supported by the Alan Turing Institute as the national centre for AI and data science.
Google DeepMind, founded in London in 2010, remains a global AI leader. Microsoft, Amazon, Meta, OpenAI, and Anthropic all have significant and growing UK AI operations.
Many UK AI startups are university spinouts—like PolyAI from Cambridge—while others bring deep domain expertise from healthcare, finance, or logistics to identify where AI can be transformative.
Source: DCMS AI Sector Study 2024, Tech Nation
Created by Ammon Salter (Warwick Business School), Stefano Baruffaldi (Politecnico di Milano) & Federico Bignone (Warwick Business School)
Built with AI assistance from Claude (Anthropic), GPT-5 (OpenAI) & Gemini (Google)
ESRC "Profiting from Science" [ES/X003949/1]
© 2026 · CC BY-NC-SA 4.0
🔒 Privacy: This site uses cookieless analytics.
How we handle your data
This is free educational software with no ads and no commercial interest. We do not intentionally collect directly identifying personal information (such as names or email addresses). We use privacy-focused analytics that don't use cookies, don't track you across sites, and are designed to avoid identifying individual users. You can use this simulation anonymously.
This simulation is developed by researchers at Warwick Business School (University of Warwick) and Politecnico di Milano as part of the ESRC-funded research project "Profiting from Science: the development and valuation of Artificial Intelligence new ventures and engagement with the science base" (Grant Reference: ES/X003949/1).
The Slingshot is free, open-source educational software with no commercial interest. Our purpose is to educate, inform, and stimulate learning about AI entrepreneurship and innovation management. This simulation is designed to be freely shared, adapted, and developed by educators worldwide.
We use Umami, a privacy-focused analytics tool, to collect anonymous, aggregate statistics about how the simulation is used. This includes:
The simulation asks you to enter a name for your startup founder. This name is never transmitted, stored, or collected by us. It exists only in your browser for the duration of your session and is used purely to personalise your gameplay experience. You can enter any name you like — real, fictional, or completely made up. Once you close or refresh the page, it's gone. We have no way to contact you, identify you, or link this name to any individual.
We deliberately designed this simulation to be anonymous. There is no registration, no login, no account creation, and no requirement to provide any personal information. This was an intentional choice — we wanted to create an educational tool that anyone can use instantly, without barriers, and without the invasive data capture that has become common elsewhere. Your privacy is not an afterthought; it is built into the foundation of how this simulation works.
We use anonymous analytics solely to improve this educational resource. As publicly-funded researchers, we want to ensure this simulation effectively serves students, educators, and lifelong learners. Understanding which features work well (and which don't) helps us create better learning experiences. We have no interest in your identity — only in making this tool more useful for education.
We believe our privacy-focused analytics comply with UK and EU data protection requirements. Our analytics provider (Umami) acts as a data processor on our behalf, is configured to use EU data storage, and does not use visitor data for any other purpose.
We believe our analytics qualify for the "statistical purposes" exception under PECR, as amended by the Data (Use and Access) Act 2025. This exception permits analytics without consent when:
The following table shows ICO guidance on what the statistical purposes exception allows, and how our analytics align:
| ICO permits | What we collect | ✓ |
| Total visits page-by-page (traffic analysis, user journeys) | Page views, URLs visited | ✓ |
| User interactions with pages (scroll depth, section hits) | Custom events (button clicks, feature usage) | ✓ |
| How users access your service (device types, browser, OS) | Browser, OS, device type, screen size | ✓ |
| How users reached your service (referrer URLs) | Referrer domain/path | ✓ |
| Coarse geolocation (city/region, non-identifying) | Country, city (derived from anonymized IP) | ✓ |
| Exit pages (to detect browsing issues) | Exit pages tracked | ✓ |
| Requires consent | Our practice | ✗ |
| Tracking ad views/clicks for performance measurement | No advertising whatsoever | ✗ |
| Connecting visitor ID to activity for ad partners | No ad partners, no data sharing | ✗ |
| Tracking/profiling individuals based on IP or pages visited | IP anonymized immediately, no profiling | ✗ |
| Cross-site/cross-app monitoring | Single-site only, no cross-site tracking | ✗ |
Source: ICO Guidance: What are the exceptions?
Our approach aligns with GDPR principles — we do not process personal data, use cookies, or track individuals across websites. Where any processing occurs, it is limited to anonymous, aggregate statistics that fall outside the scope of "personal data" under GDPR Article 4. Per Recital 26, "the principles of data protection should therefore not apply to anonymous information."
Note: This represents our good-faith interpretation of applicable law. We are not lawyers and this is not legal advice.
If you have any questions about this privacy policy or our data practices, please contact:
Professor Ammon Salter
Warwick Business School, University of Warwick
[email protected]
If you prefer not to be included in our anonymous statistics, you can enable "Do Not Track" in your browser settings. Umami automatically respects this preference and will not collect any data from your visits.
Data location: We have configured Umami Cloud to use EU data storage settings.
Note: Umami's Privacy Policy describes their relationship with us as a customer (e.g. our account details). The analytics data collected about visitors to this simulation is anonymous and contains no personal information.
Last updated: January 2026
Why we built The Slingshot
The Slingshot is an educational simulation designed to teach students and professionals about the dynamics of building an AI startup. Through experiential learning, players explore the strategic decisions, trade-offs, and uncertainties that founders face—from choosing a venture type and funding model, to building teams, achieving milestones, and competing with rivals.
The simulation builds directly on our research into the UK AI startup ecosystem. The events and decisions in the game are designed to surface the real choices AI startups make about developing research capabilities and working with the science base—reflecting how startups engage with universities, leverage academic knowledge, and balance scientific exploration with commercial pressures.
This simulation was developed as part of the ESRC-funded research project:
"Profiting from Science: The Development and Valuation of Artificial Intelligence New Ventures and Engagement with the Science Base"
Grant Reference: ES/X003949/1
The project examines how AI startups in the UK develop, create value, and engage with academic research. By studying real AI ventures—their origins, strategies, team compositions, and funding trajectories—we aim to understand what drives success and failure in this rapidly evolving sector.
The simulation also reflects our team's extensive work on research grants and innovation funding, including research on programmes like Innovate UK. The grant funding mechanics in the game draw on real patterns in how startups pursue and benefit from public R&D support.
Ammon Salter
Principal Investigator & Lead Author
Warwick Business School, University of Warwick
Professor of Technology and Innovation Management with research interests in innovation, university-industry collaboration, and entrepreneurship. Led the conceptual design and development of the simulation. Member of the Innovation and Research Caucus.
Stefano Baruffaldi
Co-Investigator
Politecnico di Milano
Associate Professor specialising in the economics of science and technology, with expertise in AI startups, academic entrepreneurship, and the commercialisation of research.
Federico Bignone
Lead Researcher
Warwick Business School, University of Warwick
Research Fellow focused on corporate science and innovation, studying how firms engage with research, build scientific capabilities, and translate knowledge into commercial value.
In keeping with the theme of AI innovation, this simulation was developed with AI assistance. The entire game is contained in a single HTML file, created through iterative collaboration with large language models:
🎮 Play Online Now
A ready-to-play version is hosted on GitHub — no download required
Play The Slingshot →Completely Free
No subscriptions, no paywalls, no hidden costs
No Data Capture
We don't collect, store, or track your personal information
Fully Adaptable
Modify and build upon for your own educational needs
We thank our beta testers and contributors for their invaluable feedback: Ali Ahmed, Paola Criscuolo, Linus Dahlander, Daniela Defazio, Panos Desyllas, Virgilio Failla, Christos Kolympiris, Hila Lifshitz, Orietta Marsili, Rossella Salandra, Giacomo Salter, Suki Salter, Christian Stadler, Manos Vasilakis, and Philipp Lucas Wähler.
© 2026 Ammon Salter, Stefano Baruffaldi, Federico Bignone
Licensed under Creative Commons BY-NC-SA 4.0
Free to share and adapt for non-commercial purposes with attribution
Every quarter, you'll make decisions that shape your startup's fate
6 AP per quarter. You can't do everything-choose where to focus.
Recruit execs for Research, Product & Sales & Marketing. Keep them motivated.
They offer cash for equity-but each has their own agenda.
Complete 3 milestones to win. Miss a deadline = game over.
Rival startups are racing toward the same goals. Don't fall behind.
Change direction when competitors get ahead or your strategy isn't working.
Choose the tutorial that fits your experience level
Click any topic to learn more. Topics turn green once read.
You can revisit this guide anytime from the menu
Brief description
Each AI startup faces unique market, technical, and competitive challenges. Which will you tackle?
Location shapes your startup ecosystem for your company.
Each city offers different trade-offs: talent pools, salary costs, investor networks, and domain expertise. Click "Learn more" to understand each location's advantages and challenges.
Your background shapes your strengths, challenges, and how investors perceive you.
Please enter your name above, then select a profile
How will you fund your startup? Each path offers different resources and constraints.
Select your investor carefully.
Key concepts for your fundraising decisions
A term sheet outlines the key terms of an investment deal. It covers how much money, what equity percentage, company valuation, and any special conditions. It's not legally binding, but it's the starting point for negotiation.
The percentage of your company you give to investors in exchange for their money. More equity given away means less ownership for you at exit.
What your company is "worth" for the purpose of this investment. Higher valuations mean less dilution for the same cash.
Some investors negotiate protection against dilution in future funding rounds. This shifts more dilution burden onto founders and unprotected shareholders.
A smaller funding round designed to "bridge" your company to the next major milestone or funding round. Usually comes from existing investors who want to help you reach a stronger position.
A funding round where the company is valued lower than in the previous round. This signals challenges and can affect team morale and future fundraising.
The investigation process investors conduct before finalizing an investment. They examine your financials, team, technology, customers, and legal situation after signing a term sheet.
Three ways to fund a startup—each shapes your journey differently
Every startup faces the same question: how much control are you willing to trade for resources? More money usually means more help—but also more people with opinions about how to run your company.
What it means: You fund the company yourself—from savings, credit cards, friends & family, or crowdfunding. No professional investors.
What it means: Wealthy individuals invest their own money—typically £25k-£250k. They're often successful entrepreneurs or executives who can also offer advice and connections.
What it means: Professional investors who manage funds from institutions and wealthy individuals. They invest larger amounts (£500k-£5M+) but expect high growth and eventual exits.
Traditional venture funds investing purely for financial returns.
Investment arms of large corporations seeking strategic value alongside returns.
Your funding path shapes everything that follows:
There's no "right" answer—only what's right for your goals, market, and risk tolerance.
with Investor Name
Adjust the terms to see their reaction.
"Let's find terms that work for both of us."
They accepted your terms
with Friends & Family
Adjust the terms to see how they'll react.
⚠️ Remember: Family will almost always say yes. But pushing too hard can strain relationships for years.
📢 Note: You set the campaign terms. The crowd decides if it's compelling enough to back.
Your terms were accepted
Each path has different requirements and rewards. Choose wisely.
Focus areas: Research & Product
Hire 3 department heads to start. 💼 Head of HR unlocks after Milestone 1.
After your first milestone, the board insists you formalise HR.
Choose carefully-your Head of HR will shape company culture and help retain your team.
Create a job listing to attract candidates
Review applications and make offers
No hired staff to lay off. Department heads cannot be laid off.
But every ending is a new beginning
Most startups fail. The best founders fail forward.
Created by Ammon Salter (Warwick Business School), Stefano Baruffaldi (Politecnico di Milano) & Federico Bignone (Warwick Business School)
·
Part of the ESRC-funded project "Profiting from Science" [ES/X003949/1]
© 2025 Salter, Baruffaldi & Bignone · Licensed under CC BY-NC-SA 4.0
Against all odds, lightning has struck!
Your breakthrough technology caught the attention of a major tech conglomerate. After a bidding war between three global giants, your valuation has exploded.
This is the stuff of startup legend - years of hard work, smart decisions, and relentless execution have paid off in spectacular fashion.
Your name will appear alongside legendary founders
The elite few who built billion-pound empires
All three milestones complete
Your board wants to know your plans...
Created by Ammon Salter (Warwick Business School), Stefano Baruffaldi (Politecnico di Milano) & Federico Bignone (Warwick Business School)
·
Part of the ESRC-funded project "Profiting from Science" [ES/X003949/1]
© 2025 Salter, Baruffaldi & Bignone · Licensed under CC BY-NC-SA 4.0
Created by Ammon Salter (Warwick Business School), Stefano Baruffaldi (Politecnico di Milano) & Federico Bignone (Warwick Business School)
·
Part of the ESRC-funded project "Profiting from Science" [ES/X003949/1]
© 2025 Salter, Baruffaldi & Bignone · Licensed under CC BY-NC-SA 4.0
Ammon Salter (Warwick Business School, The University of Warwick)
Stefano Baruffaldi (Politecnico di Milano), Federico Bignone (Warwick Business School, The University of Warwick)
Ali Ahmed (Warwick Business School, University of Warwick), Paola Criscuolo (Imperial College London), Linus Dahlander (ESMT Berlin), Daniela Defazio (University of Bath), Panos Desyllas (University of Bath), Virgilio Failla (University of Bath), Christos Kolympiris (Warwick Business School, The University of Warwick), Hila Lifshitz (Warwick Business School, University of Warwick), Orietta Marsili (University of Bristol), Rossella Salandra (University of Bath), Giacomo Salter, Suki Salter, Christian Stadler (Warwick Business School, University of Warwick), Manos Vasilakis, Philipp Lucas Wähler (Warwick Business School, The University of Warwick)
Claude (Anthropic), Gemini (Google), ChatGPT & GPT-5 (OpenAI)
Part of the ESRC-funded project "Profiting from Science" [ES/X003949/1]
The Slingshot is open source and we welcome contributions from the community!
Found something that doesn't work right? Open an issue on GitHub with steps to reproduce.
Have ideas for new events, mechanics, or improvements? We'd love to hear them. Open an issue describing your suggestion.
Want to contribute code directly? Fork the repository, make your changes, and submit a pull request.
Research on AI startups & the economics of AI
If you want to learn more about AI startups and the economics of AI, please see these papers:
Agrawal, A., Gans, J., & Goldfarb, A. (2019). The Economics of Artificial Intelligence. University of Chicago Press.
Ahmed, N., Wahed, M., & Thompson, N. C. (2023). The growing influence of industry in AI research. Science, 379(6635), 884-886. https://doi.org/10.1126/science.ade2420
Artificial Intelligence sector study 2024. GOV.UK. https://www.gov.uk/government/publications/artificial-intelligence-sector-study-2024
Bahoo-Torodi, A., Fontana, R., & Malerba, F. (2026). Pre-entry experience and the heterogeneity in startup performance: Evidence from the nascent artificial intelligence industry. Research Policy, 55(1), 105367. https://doi.org/10.1016/j.respol.2025.105367
Baruffaldi, S., van Beuzekom, B., Dernis, H., Harhoff, D., Rao, N., Rosenfeld, D., & Squicciarini, M. (2020). Identifying and measuring developments in artificial intelligence: Making the impossible possible. OECD Science, Technology and Industry Working Papers. https://doi.org/10.1787/5f65ff7e-en
Bessen, J., Impink, S. M., Reichensperger, L., & Seamans, R. (2022). The role of data for AI startup growth. Research Policy, 51(5), 104513. https://doi.org/10.1016/j.respol.2022.104513
Bianchini, S., Müller, M., & Pelletier, P. (2022). Artificial intelligence in science: An emerging general method of invention. Research Policy, 51(10), 104604. https://doi.org/10.1016/j.respol.2022.104604
Chalmers, D., MacKenzie, N. G., & Carter, S. (2021). Artificial intelligence and entrepreneurship: Implications for venture creation in the fourth industrial revolution. Entrepreneurship Theory and Practice, 45(5), 1028-1053. https://doi.org/10.1177/1042258720934581
Chattopadhyay, S., Honoré, F., & Won, S. (2025). Free range startups? Market scope, academic founders, and the role of general knowledge in AI. Strategic Management Journal, 46(4), 1027-1079. https://doi.org/10.1002/smj.3685
Feng, L., Hu, J., Huang, M., Irfan, M., & Hu, M. (2025). From algorithms to invention: AI's impact on corporate innovation output and efficiency. The Quarterly Review of Economics and Finance, 102042. https://doi.org/10.1016/j.qref.2025.102042
Hartmann, P., & Henkel, J. (2020). The Rise of Corporate Science in AI: Data as a Strategic Resource. Academy of Management Discoveries. https://doi.org/10.5465/amd.2019.0043
Jacobides, M. G., Brusoni, S., & Candelon, F. (2021). The evolutionary dynamics of the artificial intelligence ecosystem. Strategy Science, 6(4), 412-435. https://doi.org/10.1287/stsc.2021.0148
Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu, Z., ... & Zitnik, M. (2023). Scientific discovery in the age of artificial intelligence. Nature, 620(7972), 47-60. https://doi.org/10.1038/s41586-023-06221-2
Merrington, K. L., & Haverstock, D. J. (2024). Founder archetypes and venture trajectory: Evidence from UK AI startups 2015-2023. Research Policy, 53(2), 104927. https://doi.org/10.1016/j.respol.2023.104927
How do you respond?
Understand your market and learn from customers
Understanding your market is key to startup success
Understanding your market — competitors, pricing, regulations, and trends — helps you win more deals. Sales conversations become sharper, proposals more compelling, and your team wastes less time on poor-fit prospects.
🏁 Competitor Intelligence: As your market knowledge grows, you'll unlock deeper insights about your rivals in the Competition panel — their strategies, strengths, weaknesses, and likely moves. Early on you only see surface-level information; invest in market knowledge to see what's really happening.
Business impact: Better win rates on pipeline deals, more effective marketing decisions, more focused product development, and clearer competitive positioning.
Deep customer insight — their real problems, workflows, and decision processes — helps you keep customers longer and grow accounts over time. You'll spot churn risks early and find expansion opportunities.
Business impact: Lower churn, better renewals, organic revenue growth, and product decisions that better serve real needs.
Investors reward founders who truly understand their market and customers. When you can speak fluently about competitive dynamics, customer pain points, and market sizing, investors offer better terms.
Business impact: Better funding terms, higher valuations, and more cash when raising follow-on rounds.
Exploring alternative markets before you need to pivot is like buying insurance. If market conditions force a change, or a better opportunity emerges, being prepared means a smoother transition.
🔍 Scout Future Competitors: When you invest in exploring pivot opportunities, you also learn about the competitors you'd face in those new markets. This intelligence helps you assess whether a pivot is wise — and gives you a head start if you do make the leap.
Business impact: When you pivot, you'll retain more customers, preserve more pipeline, and spend less on the transition. You'll also enter the new market with competitor intelligence that would otherwise take quarters to build. Investors are more supportive of well-researched pivots.
Should you change direction? Choose a pivot type.
A competitor has changed your position. How do you respond?
Your team and investors weigh in on this strategy
A new direction may need a new name. Choose wisely—every choice has trade-offs.
Role
Equity ownership breakdown
Your cap table is the record of who owns what. Every time you accept a term sheet, it updates your cap table—adding new investors and diluting existing shareholders.
Your ownership stake in the company. This decreases with each funding round and employee equity grant. At exit, this determines your personal payout.
Each investor's current ownership percentage. These may show protection status:
Equity granted to executives and key hires. Typically vests over 4 years with a 1-year cliff.
Shows each funding round and how much equity was issued. Remember: today's small dilution compounds across multiple rounds.
At a £100M exit, the difference between owning 30% vs 50% is £20M in your pocket. Every funding decision shapes your final outcome.
This quarter will leave you with less than 1 quarter of runway.
Diluted effort reduces effectiveness by 10% this quarter.
"I'm starting to wonder if you know what you're doing."
Follow their advice in future quarters to rebuild trust. One more ignored suggestion and they may withdraw support entirely.
Get ready for an interactive challenge!
Series A Pitch Meeting
"Thank you for having me today..."
with Investor Name
Adjust terms to see acceptance chance.
Your financial health
Your runway looks healthy. Focus on growth!
Cash = Money sitting in your bank account right now
Revenue = Money you earn from customers each quarter
Early startups often have lots of cash (from investors) but little or no revenue. That's normal! But cash runs out if you don't eventually earn revenue or raise more funding.
Cash is your money in the bank. It decreases each quarter by your costs (burn rate) and increases from revenue and funding rounds.
Runway = Cash ÷ Net Burn. This tells you how many quarters until you run out of money.
⚠️ If runway hits 0, the game ends!
Your quarterly costs are driven primarily by staff:
Growing your team increases capability but also increases burn. Balance carefully!
Revenue grows as your company matures. Key drivers include:
Break-even is when your revenue equals your costs. After this point:
The projection chart shows when you might reach break-even based on current growth rates.
When runway gets low, you'll need to raise funding:
💡 Raising mid-milestone is harder and more dilutive. Try to raise from a position of strength!
You're not alone in this market. Rival startups are competing for the same customers, investors, and talent. Here's how competition works:
Each venture has 3 AI competitors with different strategies:
Rivals progress each quarter based on their own strategies and random events.
You don't start with full visibility into your competitors. Invest in market knowledge (via the Markets & Customers card) to unlock deeper insights:
💡 Pivot preparation also reveals competitors in alternative markets — so you know what you'd face if you change direction.
Your rank is determined by your combined stats (Research + Product + Marketing).
Rankings affect:
Watch for news about your competitors:
💡 Rival news appears below the leaderboard when significant events happen.
You can't directly attack rivals, but you can outcompete them:
Your competitive position significantly affects your exit:
The goal isn't just to survive—it's to win your market.
Milestones are your path to victory. Complete all three to win the game and build a successful AI startup.
Milestones represent the key stages of building your startup:
Each milestone has specific requirements based on your venture type and chosen strategy.
The progress bar shows how close you are to completing your current milestone.
Each milestone has a deadline — the quarter by which you must complete it:
💡 The hint below the progress bar suggests which team capabilities to prioritise.
Sometimes your initial strategy isn't working. When this happens, you can request a Strategic Review to change direction.
When to consider pivoting:
When you call a strategic review, your board may offer options like:
Each pivot has trade-offs — you may lose progress but gain a more viable path forward.
Pivoting isn't free. Changing direction typically means:
Pivot early if you need to — waiting too long makes the cost higher.
Complete all 3 milestones before:
When you complete your final milestone, you'll have the option to exit — through acquisition, IPO, or continuing to grow.
Your team size directly affects how much you can accomplish each quarter. More staff means more Attention Points.
Staff hired above your founding team increase your capacity.
Your first hire gives +1 AP once they're integrated (next quarter).
Find the right person for your team
Painful but extends runway
MedMind AI • Q4 2026
The Business Model Canvas was created by Alexander Osterwalder and Yves Pigneur, first published in their 2010 book "Business Model Generation". It has become one of the most widely-used strategic tools for entrepreneurs and established companies alike.
The canvas provides a single-page visual framework that captures how a company creates, delivers, and captures value. Instead of lengthy business plans, it lets you see your entire business model at a glance.
Who are you creating value for? Your most important customers.
What value do you deliver? Why do customers choose you over competitors?
How do you reach and communicate with your customers?
What type of relationship does each segment expect? Personal? Automated?
How does each customer segment pay? Subscriptions? Licensing? Usage fees?
What assets are essential? Technology, IP, talent, capital?
What must you do well? R&D, production, marketing, platform management?
Who are your essential suppliers and partners? What do they provide?
What are your biggest costs? Fixed vs variable? Cost-driven or value-driven?
Your Business Model Canvas is dynamic — it changes based on your decisions throughout the game:
In real startups, the Business Model Canvas helps founders and investors quickly understand how all the pieces fit together. A strong canvas shows coherence — your segments match your channels, your value prop justifies your pricing, and your activities support your promises. Watch how your decisions build (or fragment) your business model!
Complete 3 milestones before running out of cash to win!
AP represents your managerial attention-the scarcest resource in any startup. You can't do everything, so every quarter you must choose where to focus while other opportunities pass by.
Every choice costs AP. The game forces you to prioritise: what deserves your attention right now?
Unused AP carries over to the next quarter (max 2). Save up for big decisions!
Cash = Money in your bank account right now (from investors, grants, etc.)
Revenue = Money you earn from customers each quarter
Early startups often have cash but zero revenue. That's normal! Cash runs out if you don't eventually earn revenue or raise more funding.
Your available money. This is NOT income—it's what you have saved. Some choices cost cash. Hiring costs £50k. If this hits zero, you're bankrupt!
How much cash you spend per quarter automatically. Each staff member adds £25k/quarter to burn.
Quarters until bankruptcy (Cash ÷ Burn). Red = danger! Raise funding or cut costs.
Your company's worth. Higher valuation = give up less equity when raising. Grows with milestones and strong metrics.
Your yearly subscription income from customers. The key metric investors use to value SaaS companies. Calculated as quarterly revenue × 4.
Monthly subscription income. ARR ÷ 12. Some investors prefer this for tracking growth month-to-month.
Revenue minus customer support costs. What actually improves your cash position each quarter.
Non-dilutive funding—keep 100% of your equity. But winning is competitive and commits you to deliver.
Milestones are your key objectives. Complete all 3 to win!
Focus your AP on choices that boost the metrics your current milestone needs!
Understanding your market and customers is fundamental to startup success. The Markets & Customers card lets you invest in this knowledge over time.
Understanding competitors, pricing, and market dynamics helps you win more deals and make better product decisions. As your market knowledge grows, you'll unlock deeper insights about rivals in the Competition panel — their strategies, strengths, and likely moves.
Deep insight into customer problems, workflows, and decision processes helps you keep customers longer and grow accounts over time. You'll spot churn risks early and find expansion opportunities.
Exploring alternative markets before you need to change direction is like buying insurance. You'll also learn about competitors in those potential markets, giving you intelligence that helps you decide whether to pivot and a head start if you do.
You have 3 executives who present decisions each quarter:
Executives have moods that affect what events they bring to you:
Mood improves when you invest in their domain. Passing on decisions lowers mood.
Max 2 hires per quarter. Each hire costs 1 AP to integrate. Heavy hiring in consecutive quarters causes strain.
The game doesn't save to the cloud. Complete it in one sitting (45-90 min). You can leave the browser tab open to pause.
No! Most players fail their first attempt. Most real startups fail too. Each failure teaches you something. Try a different strategy.
There isn't one. Every choice involves trade-offs. Learning to navigate uncertainty is the point—not finding an optimal solution.
Yes. Rivals have strong strategies and some luck. If they get ahead, consider pivoting rather than racing harder.
Three ways: (1) Raise funding from investors, (2) Complete milestones (each pays £150k), (3) Reduce burn rate by hiring fewer people.
Because it does in real entrepreneurship! Good decisions improve your odds but don't guarantee success. The skill is making good choices despite uncertainty.
Typically 25-40 minutes depending on how carefully you read events and consider decisions.
Refresh the page (F5 or Cmd+R). You'll start fresh with new choices available.
Apply to UK & EU innovation grants (automated application & assessor feedback)
Non-dilutive funding for R&D
Reserve status: 🔵 Blue Zone (UK) • 📋 Reserve List (Regional) • 🏅 Seal of Excellence (EU)