Sesame Summit 2026 – application open

Ben’s List 83

Entrepreneurship

20 CEO Lessons Learned at HubSpot on the Journey from $0 to $20billion

“We have two products, one we sell to our customers (HubSpot’s CRM) and one we sell to our employees (HubSpot’s culture).  Like your product, you need your culture to be unique relative to the competition (for talent) and you want your culture to be very valuable.  Like your product, when it is unique and valuable, your company turns into a magnet that attracts and retains terrific talent.  And also like your product, it’s never done – it needs continued iteration.”

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Artificial Intelligence

AI Leapfrogging: How AI Will Transform “Lagging” Industries

“Founders are eager to apply AI to digitized industries that seem ‘the most ready for it.’ But that’s not where we’re going to make the biggest impact.”

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Meet the Big Tech Alumni building AI startups in Paris

“It’s notable — and a little ironic — that these new wunderkinds of European AI are being propped up by US VC dollars. That said, more young AI companies made on the continent can only be positive if Europe is trying to avoid a Silicon Valley hegemony of the latest wave of digital disruption.”

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AI, Digital Twins to Unleash Next Wave of Climate Research Innovation

“The first miracle required will be to simulate the climate fast enough and with a high enough resolution– at kilometer-scale– to predict impacts at local granularity.

The second miracle required will be to emulate the physics of climate at high enough fidelity using AI. Generative AI breakthroughs promise new ways of predicting Earth’s climate and enabling real-time interactivity with petabytes of climate data. More importantly, AI is the technology that will help create actionable climate information from raw climate data in myriad ways, unlocking the potential of vast quantities of data to inform decision-making.”

New Showrunner AI: The Sum Of All Hollywood’s Fears

“’We are building a simulation where AI characters live 24/7, grow and have rich stories,’ said Philipp Maas, who created Showrunner AI. ‘Every week of simulation time, a 22-minute episode is generated of what happened in the AIs’ lives. Imagine reality TV for AIs.’ Maas started working on the Showrunner program last year when powerful open-source AI models like Open AI and Stable Diffusion were released. Anyone can download an open-source AI program from Git and run it on a PC with appropriate power, for free. The secret sauce is in the training of the models, and the skills required to prompt them.”

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Community

Investing in Digital ‘Third Places’

“This sense of lost togetherness wasn’t new, however; even before the Covid-19 lockdowns, the world was experiencing a loneliness epidemic.”

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Social

Why Do TikTokers Beg For Virtual Gifts on TikTok LIVE? The Weird ‘NPC Stream’ Phenomenon Explained

“Knowing how much it costs to buy virtual coins on TikTok, and understanding the various virtual gifts that can be bought with these coins begs the question; how much money does a TikTok livestreamer actually make? The rapid speed at which creators like Pinkydoll and Cherry Crush receive and react to gifts is meant to maximize their revenue, which comes out to approximately 1.3 cents per virtual coin.

By most estimates, we can gather that 1000 gifts worth 99 virtual coins each would result in a $1,287 payday. But how much of that revenue does the TikToker actually take home?”

@anialdn

This is so cringe i cannot #cherrycrushtv #cherrycrush #tvshow #fyp #fypシ #fypシ゚viral #fypage #tiktokdaily #cringe #wth #wtfmoments

♬ original sound – Ann

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FINTECH 1200x650 1
Fundraising 2 days ago

London fintech Outpost raises $17.5M Series A led by Ribbit Capital to scale its AI-powered merchant-of-record platform, simplifying cross-border payments, tax, and compliance for global merchants.

AI fintech funding
Fundraising 2 days ago

The European fintech sector continues to attract early-stage capital, with AI-powered financial modelling emerging as a particularly active frontier for investor interest. As finance teams across high-growth organisations grapple with the limitations of static spreadsheets and fragmented planning tools, a new generation of startups is building intelligent infrastructure to replace legacy workflows. Stockholm-based Galdera Labs has now entered this space with a €1.5 million pre-seed round to develop an AI-native financial modelling platform designed for growth-stage finance teams. The funding will support platform development, reasoning infrastructure buildout, and an initial customer rollout targeting fast-growing companies with complex financial operations. Galdera’s platform combines a high-performance calculation engine with a semantic memory layer that links financial data directly to underlying business context, assumptions, and strategic decisions — enabling finance teams to query models in natural language and simulate complex scenarios in minutes rather than weeks. Klarna Veterans Back AI Financial Modelling Vision The pre-seed round was led by J12 Ventures, with participation from Antler and a roster of angel investors drawn from notable European technology companies including Klarna, DeepL, Stripe, and Plata. The investor composition reflects strong confidence in the founding team’s pedigree and the market opportunity for intelligent financial planning infrastructure. Galdera’s three co-founders — Evan Rumpza (CEO), Mattia Scolari (CFO), and Giovanni Casula (CTO) — met at Klarna during the fintech giant’s most intensive growth phase. Responsible for financial planning across 26 markets, the team experienced first-hand how manual processes and fragmented Excel models struggled to keep pace as business conditions shifted faster than traditional models could be rebuilt. To manage the complexity, they built an internal system at Klarna that replaced the static planning cycle with a continuously updated model — enabling what previously required large analyst teams to be handled by just three people, supporting the company through both capital raises and IPO preparations. The lessons learned from that experience became the foundation for Galdera Labs. “We’ve personally sat with 50 spreadsheets at two in the morning using tools that were supposed to solve the problem but didn’t. That is the infrastructure we are building with Galdera,” said Evan Rumpza, CEO and co-founder of Galdera Labs. Building AI Finance Tools for the Next Generation of CFOs The market for AI finance tools and financial modelling software is evolving rapidly as organisations demand more dynamic planning capabilities. Traditional spreadsheet-based approaches, while flexible, often create fragmented workflows where assumptions become outdated and institutional knowledge is lost between budget cycles. Galdera’s platform addresses this gap with a two-layer architecture: a powerful calculation engine capable of handling large data volumes, paired with a semantic memory layer that preserves the reasoning behind financial decisions over time. The platform is designed to function as an always-on financial forecast that automatically updates as business conditions change. Users configure scenarios once, and the model recalculates impacts across revenue, costs, margins, and other key metrics in real time. This approach positions Galdera within a growing wave of European fintech startups applying artificial intelligence not merely as an overlay on existing tools, but as a foundational redesign of how financial planning operates. With the launch, Galdera is opening its platform to its first customers: fast-growing companies and organisations with complex operations where the pace of decision-making has outgrown the tools finance teams traditionally rely on. Early adopters already include companies such as DeasyLabs, Unify, and Counsel. The pre-seed round positions Galdera Labs at an early but promising stage in a sector where demand for intelligent, context-aware financial infrastructure is accelerating across European markets. As AI continues to reshape enterprise workflows, the intersection of financial modelling and machine reasoning represents a significant opportunity for startups capable of delivering genuine operational value to scaling businesses. Summary

AevoLoop circular plastics recycling technology funding announcement with plastic waste processing
Fundraising 2 days ago

The sustainable consumer goods sector is witnessing growing investor appetite as environmentally conscious brands prove they can combine purpose with profitability. East London-based Allday Goods, the cult kitchen knife brand that transforms plastic waste into chef-quality blades, has raised £765,000 in a seed round led by FIGR Ventures to scale its operations from artisan favourite to mainstream kitchen staple. Founded in 2021 by ex-chef Hugo Worsley, Allday Goods manufactures kitchen knives with handles crafted entirely from recycled plastic waste — sourced from Maldon Salt buckets, milk bottle handles, discarded plant containers, and fishing nets washed up on British shores. The brand, which started in Worsley’s parents’ shed using a repurposed toastie maker, has already achieved profitability with minimal external investment. Products consistently sell out within minutes during online drops, and queues have formed at London pop-ups, reflecting a level of consumer demand that few sustainable brands can match at this stage. FIGR Ventures Leads Seed Round with Sustainability-Focused Backers The £765,000 round was led by FIGR Ventures, with participation from Anotherway Ventures, Machroes Holdings — the family office of Lord Mervyn Davies — and angel investor Tom Gozney, founder of the premium pizza oven brand Gozney. The investor mix signals confidence in Allday Goods’ ability to bridge the gap between sustainable manufacturing and scalable consumer product design. Allday Goods’ knives pair handles made from 100% recycled food-grade polypropylene with British and Japanese steel blades. The company collects, cleans, shreds, and remoulds plastic waste into distinctive, colourful handles that carry visible traces of their former lives — a design choice that has become central to the brand’s identity. Each knife effectively diverts plastic from landfill whilst delivering professional-grade performance. Worsley commented on the raise, noting that the team had built the brand slowly and intentionally, and that securing backing from investors they genuinely admire represents a significant milestone for the next chapter of growth. From Cult Following to Mainstream Market Opportunity Allday Goods has already demonstrated significant commercial traction without substantial marketing spend. The brand’s high-profile collaborations with Ottolenghi, Soho House, Maldon Salt, Kerrygold, and Paul Smith have positioned it at the intersection of culinary craftsmanship and design culture. Features in The World of Interiors and Esquire have further cemented its reputation among discerning consumers who value both aesthetics and environmental responsibility. The fresh capital will be deployed to scale production capacity, expand the product range, and accelerate the transition from limited-edition drops to consistent retail availability. The challenge for Allday Goods will be maintaining the artisan quality and brand mystique that fuelled its cult status whilst meeting the demands of a broader consumer base — a tension that many direct-to-consumer brands have struggled to navigate. The broader sustainable kitchenware market continues to attract both consumer interest and investor capital across Europe. As regulatory pressure on single-use plastics intensifies and consumers increasingly seek products that align with their environmental values, brands like Allday Goods that demonstrate genuine circularity in their manufacturing processes are well-positioned to capture meaningful market share. Summary Company: Allday GoodsHeadquarters: East London, United KingdomFounded: 2021Founder: Hugo WorsleyRound: SeedAmount: £765,000Lead Investor: FIGR VenturesOther Investors: Anotherway Ventures, Machroes Holdings, Tom GozneyUse of Funds: Scale production, expand product range, transition to mainstream retail availability

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