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5 brilliant startup marketing techniques from Bits and Pretzels 2025

Last week, I spent three days at Bits and Pretzels in Munich — a startup-focused event with a distinctly Bavarian flavor. Think Oktoberfest meets startup conference, complete with dirndls, lederhosen, and more beer than you might expect.

As someone building an AI-powered event platform, I went in with a specific mission: Observe how startups actually market themselves at events. Here’s what I discovered:

GoodBytz: The power of good demos

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What they did: Robotics startup GoodBytz set up a booth where its robots prepared kaiserschmarrn (a traditional German dessert) all day long.

Why it worked: Nothing beats seeing a product in action. While other booths had brochures and demos, GoodBytz’s robots were actually cooking. The smell, the movement and the end result stirred together an experience that people will remember and talk about.

The lesson: If you have a physical product, show it in action. The old writing adage generalizes well: Show, don’t tell.  Let people see, hear and touch the product.

WeRoad: The bathroom hack

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What they did: Posted “Missing Investor” flyers in bathroom stalls with QR codes pointing to their website.

Why it worked: Pure genius. Every startup at the event was looking for investors, but the “Missing Investor” headline, while a bit on the nose, proved irresistible. Plus, bathroom stalls are one of the few places where people have 30 seconds to actually read something.

The lesson: Think about where your target audience’s attention will remain undivided. Sometimes, the most effective marketing leverages the most unexpected places.

Emqopter: Visual impact matters

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What they did: Designed a bright orange booth that displayed their drone prominently.

Why it worked: In a sea of grey, white, beige and brown, Emqopter’s bright orange booth was impossible to overlook. The drone was real, too, and proved a real conversation starter.

The lesson: Your booth is competing with hundreds of others. Make it visually distinctive and ensure your product is the hero.

Quests: Community building using the product

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What they did: Created a busy, branded booth with accessories (toy car, traffic cones, a bulletin board) and used their anti-loneliness app to build communities among founders at the event.

Why it worked: Quests used their product to solve a real problem right at the event, and the busy booth design generated energy and curiosity.

The lesson: Use your product to solve a problem at the event — if it’s possible, of course. Demonstrate your value in real time.

Dyno: Event-themed marketing

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What they did: Distributed branded electrolyte packs with the tagline “Your hangover ends. Your pension lasts – with Dyno.”

Why it worked: Dyno aligned its messaging perfectly with the Oktoberfest theme. Every attendee was thinking about beer and hangovers, so Dyno’s goodies were quite relevant. The tagline was clever, memorable, and directly addressed a pain point most people at the event might have to deal with later.

The lesson: Tailor your marketing to the event’s theme and culture. The more you tie your messaging and product to the context, the more memorable you become.

So, what did I learn?

Event marketing is about more than just showing up and setting up a booth; you have to understand your audience and create experiences that people will remember.

Here’s what really struck me: most startups and even big companies don’t know how to leverage events properly. They book the booth, show up and hope for the best; maybe they bring some branded pens and a pop-up banner. Then they’ll go back home and wonder why they spent €5,000 in exchange for 50 business cards that never convert.

The startups that stood out at Bits and Pretzels understand something fundamental: event ROI isn’t about booth size or location; it’s about strategy, creativity and planning.

None of the startups above improvised on-site, or planned something the night before the event in their hotel rooms. They laid everything out 4-6 weeks before the event. A solid pre-event strategy is what separates successful event marketing from expensive booth rental. 

But what matters most for early-stage startups is that you don’t need a massive budget to stand out. WeRoad’s bathroom stall hack probably cost €50 to print the flyers. A standard booth package at Bits and Pretzels would go for €3,000 to €5,500. The ROI difference is staggering when you compare the cost per meaningful conversation. That’s the difference between simply spending money and investing smartly.

Building Sesamers has taught me that helping startups find the right events is only half the equation. The other half is helping them understand how to maximize ROI once they’re there. Good props aren’t a marketing expense; they’re opportunities to meet customers, investors and partners, and strike up engaging conversations.

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Fundraising 2 hours ago

London-based AI laboratory Ineffable Intelligence has emerged from stealth with a $1.1 billion seed round at a $5.1 billion post-money valuation, the company confirmed on 27 April 2026. The financing is the largest seed round ever raised by a European company and one of the largest first-money-in rounds in the global history of artificial intelligence. The round was co-led by Sequoia Capital and Lightspeed Venture Partners. Participating investors included Nvidia, DST Global, Index Ventures, Google, and the UK Sovereign AI Fund, the British government’s recently established vehicle for backing strategic AI capacity on home soil. A bet on a different path to general intelligence Ineffable Intelligence was founded in 2025 by David Silver, the former Vice President of Reinforcement Learning at Google DeepMind and the principal architect of AlphaGo, AlphaZero and AlphaStar. He is joined by three further DeepMind alumni: Wojciech Czarnecki, Lasse Espeholt and Junhyuk Oh. All four have spent the past decade at the frontier of reinforcement learning research, the discipline behind some of the most consequential demonstrations of machine learning over the past ten years. The company describes its objective as building a “superlearner” — an AI system capable of acquiring knowledge directly from its own experience rather than from human-generated text or imagery. “Our mission is to make first contact with superintelligence,” Silver said in a statement accompanying the launch. “We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs.” The framing is a deliberate departure from the dominant industry trajectory. Most leading AI laboratories, including OpenAI, Anthropic and Google DeepMind itself, have built large language models trained primarily on the corpus of the internet, then refined that training with human feedback. Ineffable’s wager is that the marginal returns on scaling text-based pretraining are diminishing and that the next leap in capability will come from agents that learn endlessly from the consequences of their own actions, in much the same way AlphaZero learnt the game of Go without studying any human matches. Why $1.1 billion at seed The size of the round is unusual even by the inflated standards of the 2026 AI capital cycle. Two factors appear to explain it. First, frontier reinforcement learning at the scale Ineffable describes is computationally extraordinarily expensive: the company will need to operate vast simulation environments and train very large models against them, an undertaking that consumes capital at a rate closer to physical R&D than to traditional software. Second, the round signals a strategic move by Europe’s investor and policy ecosystems to retain the most ambitious AI researchers on the continent. The presence of the UK Sovereign AI Fund alongside Sequoia, Lightspeed and Nvidia is the clearest expression of that intent. The British government has publicly framed the investment as a bet on breakthrough AI that “can discover new knowledge”, positioning the country as a willing co-investor in domestic frontier laboratories. For Ineffable, the implication is access not only to capital but to compute, regulatory engagement and the still-resilient academic talent base around UCL, Oxford, Cambridge and Imperial. Founder pledge of historic scale Alongside the funding announcement, Silver disclosed that he is committing 100 per cent of any personal proceeds from his Ineffable equity to charity via the Founders Pledge network — described by the organisation as the largest pledge in its history. At the round’s $5.1 billion valuation, that commitment could ultimately exceed several billion dollars if the company succeeds. It is a meaningful gesture in a sector where the reputational stakes around concentrated AI wealth are escalating, and one likely to be referenced in subsequent founder-led commitments. Implications for the European AI landscape Ineffable’s emergence reshapes the European AI map in three concrete ways. It establishes London as the home of the continent’s largest-ever seed-stage company, complicating Paris’s recent narrative of frontier-AI primacy after Mistral’s earlier rounds. It validates a thesis — that reinforcement learning, not transformer scaling, is the next frontier — that has lately been losing capital share to language-model incumbents. And it confirms that the UK government is now willing to act as a balance-sheet co-investor in domestic AI laboratories, a posture much closer to the French model than to the predominantly grant-based regimes elsewhere in Europe. The execution risk is non-trivial. Reinforcement learning at frontier scale has historically required years of careful environment design before producing competitive systems, and Ineffable’s “first contact” framing sets a high bar against which it will be judged. But for now, with a billion dollars on the balance sheet, four of the discipline’s most accomplished researchers in the founding team and a sovereign co-investor at its back, Ineffable Intelligence is the most heavily resourced new entrant in the European AI cycle. Sesamers covers European fundraising rounds across deeptech, fintech and AI. Source: tech.eu.

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