Unlocking Global Growth

Curated by Kevin O'Donnell

A collection of 85+ articles on international expansion strategy for B2B SaaS companies. Written by Kevin O'Donnell, former Dropbox international expansion lead and Microsoft veteran, now advising Series A to C companies on global go-to-market. Topics covered include pricing localization (why local currency and purchasing power parity are prerequisites for conversion), the monetization gap (how companies solve global product-market fit but fail to monetize internationally), international paid acquisition (why running English-only ads in non-English markets is the most common and most expensive mistake), fractional leadership models for global expansion, and operational playbooks for Series C and beyond. Try asking: - "What should I build before spending on international paid acquisition?" - "How do I localize my SaaS pricing without killing growth?" - "What's the case for hiring a fractional leader for international expansion?" - "How are companies like Figma and Canva approaching global monetization?"

Lenny's Podcast

Curated by Kevin O'Donnell

300+ episodes of Lenny's Podcast synthesised into a single queryable knowledge base. Covers B2B SaaS growth, product-led acquisition, retention strategy, pricing, and GTM. Built from transcripts and show notes so you can ask questions across the full archive rather than hunting for the right episode. Try questions like: - What do the best retention strategies have in common? - How have founders thought about pricing their first SaaS product? - What's the difference between product-led and sales-led growth? - How do you know when you've found product-market fit?

Lithium's relationship to Alzheimer's

Curated by Allen Yang

This is a compilation of all the references from the paper "Lithium deficiency and the onset of Alzheimer’s disease" by Aron, Liviu et al., published August 6, 2025 in Nature. https://www.nature.com/articles/s41586-025-09335-x This knowledge base has all the publicly accessible papers in the References section of the above paper (~79 out of 90), as well as the paper itself. Ask questions here to explore this body of knowledge on lithium's impact on Alzheimer's and other neurological and mental health areas.

AI Tools Transforming Venture Capital Operations This collection reveals how AI is fundamentally reshaping venture capital operations across the entire investment lifecycle. VCs are rapidly adopting specialized AI tools for five core functions: deal sourcing and lead generation (Harmonic, Tracxn, Grata), relationship management and CRM (Affinity), portfolio monitoring and performance tracking (Standard Metrics), meeting documentation and note-taking (Granola, Fireflies.ai), and valuation management (Derivatas). The transformation spans from automating manual tasks like data entry and startup screening to enhancing strategic decision-making through predictive analytics and real-time portfolio insights. Leading firms are already leveraging these tools to manage thousands of portfolio companies more effectively. Many VCs are using specialized, off-the-shelf solutions while also building in-house capabilities, with tools offering AI-powered automation, relationship intelligence, and integrated workflows becoming essential competitive advantages. The shift represents a move from spreadsheet-based operations to sophisticated, data-driven investment management platforms that enable faster decision-making and better LP reporting.

Open Source AI Models: A New Competitive Landscape This collection showcases the remarkable advancement of open source AI models across multiple domains, demonstrating how they now compete directly with proprietary systems from major tech companies. The landscape includes general-purpose LLMs like GLM-4.5 (355B parameters, 3rd globally), DeepSeek-V3-0324 (685B parameters with significant reasoning improvements), and Kimi K2 (1T total parameters with 32B active); specialized coding models such as Qwen3-Coder-480B-A35B-Instruct and DeepSeek-Coder-V2 that rival GPT-4 Turbo in coding tasks; and multimodal embedding models including jina-embeddings-v4 and Nomic Embed Multimodal that achieve state-of-the-art performance in visual document retrieval. Key themes emerging from this collection include the widespread adoption of Mixture-of-Experts (MoE) architectures for computational efficiency, agentic capabilities becoming a primary focus with models designed for tool use and autonomous problem-solving, multimodal integration enabling unified text-image processing, and long context support extending to millions of tokens. Performance benchmarks consistently show these open models matching or exceeding proprietary alternatives on specialized tasks, while leaderboard data confirms their competitive positioning across reasoning, coding, and retrieval benchmarks. This represents a fundamental shift in AI development, where open source models are no longer playing catch-up but are setting new standards and driving innovation in the field.

Fractional Exec Resource Hub

Curated by Kevin O'Donnell

A curated knowledge base for fractional executives - covering client acquisition, pricing, contracts, community, and market data. Built from the most useful public resources in the space so you can stop hunting and start asking. Try questions like: - What are typical monthly retainer rates for a fractional CMO? - What should I include in a fractional executive contract? - How do I find my first clients outside my existing network? - What does the data say about income potential in fractional work?

B2B Sales Playbook: John Barrows

Curated by Kevin O'Donnell

100+ episodes and articles from John Barrows, the B2B sales trainer behind the teams at Salesforce, LinkedIn, and Okta. Podcast conversations, training sessions, and newsletter insights, all in one queryable knowledge base for account executives, sales managers, and revenue leaders. Ask it anything about the real mechanics of selling: - How should I open a cold call to a VP of Marketing? - What's the best way to handle "send me some information" on a call? - How do I create urgency on a deal that's gone quiet? - What does John Barrows say about using AI in the sales process? - How should I qualify a prospect without sounding like I'm reading from a script? Every answer is grounded in Barrows' actual words, with source links back to the original content.

Acquired - Trader Joe's: Building an Unconventional Retail Empire

Curated by Sarah A

This collection curates the list of sources published by the Acquired podcast for their episode on Trader Joes. It examines Trader Joe's remarkable success as a cultural phenomenon and business model that defies conventional retail wisdom. Core Business Model: Trader Joe's built an $8 billion empire through private label dominance (80%+ of products), limited SKU selection, and quality-at-value positioning. The company eliminates middleman costs while maintaining competitive pricing and distinctive product curation. Cultural Branding Over Marketing: The company spends nothing on traditional advertising, instead building brand loyalty through millions of one-on-one crew member interactions. Their employee-centered culture—paying 60-140% above industry median—creates low turnover and authentic customer connections. This "culture kicks strategy's ass" approach transformed a failed 1960s convenience store experiment into a beloved institution. The Dark Side: The collection also reveals grocery industry complexities: supply chain exploitation (particularly in shrimp), trucker struggles, and the "dark miracle" of transforming food into product. Pirate Joe's saga illustrates both Trader Joe's fierce brand protection and the grey market demand their unique model creates. Key Takeaway: Trader Joe's proves that prioritizing people over automation, connection over convenience, and values over volume can beat big-box competitors—but the broader grocery system carries hidden human costs.

This collection comprises comprehensive documentation for Resolume Arena/Avenue, professional VJ and video mixing software. The documents cover the complete interface architecture—from fundamental building blocks (clips, layers, decks, compositions) to advanced features (groups, autopilot sequencing, masking, crossfading). Key themes include: organizational hierarchy (clips within layers within decks within compositions), blending and compositing workflows (multiple blend modes, alpha channels, layer stacking), automation capabilities (autopilot with beat-synced triggering, column actions, clip sequencing), and interface customization (multi-monitor setups, panel layouts, color coding). The documentation emphasizes practical VJ workflow—triggering content, mixing layers, applying effects, and managing performances. Notable features include BPM synchronization, fader start functionality, persistent clips across decks, and Wire integration for custom patches. The collection serves as both a reference manual and tutorial guide, covering everything from basic clip triggering to complex automated sequences and multi-screen output configurations.

This is a Collection of research curated for Liminary's blog post on mechanical vs cognitive friction for knowledge work: https://liminary.io/blog/best-ai-tools-friction-knowledge-work Explore the research yourself with this Open Collection! ===== About the article: This article explores why the best AI tools for knowledge work don’t eliminate friction but preserve it where it matters most. Drawing on research from cognitive science and organizational studies, it argues that while AI can boost productivity by removing mechanical friction—tedious, low-value effort—it should avoid removing cognitive friction, the effortful thinking that leads to insight and understanding. The piece examines studies showing when AI improves performance and when it undermines it, explains why editing AI outputs often feels harder than starting fresh, and discusses the risks of automation bias. It concludes that the future of AI knowledge management lies in tools that think with humans, not for them—highlighting Liminary as an example of thoughtful AI design that supports recall, context, and cognitive engagement without replacing human judgment.

Mastering AI Through Practical Setup and Structured Thinking This collection captures a practitioner's hard-won lessons on how to actually use AI effectively, not just talk about it. The core insight: most AI failures happen before you type a single word. Key Themes on AI Mastery Setup beats prompting. Turn on Extended Thinking for deeper reasoning, activate Search to prevent hallucinations, and use Projects to stop re-introducing yourself. These three settings transform AI from pattern-matcher to reliable tool. Show, don't tell. Stop writing vague prompts. Instead: find a reference example, convert it to markdown, reverse-engineer what makes it work, define your success criteria, then assemble everything into one structured prompt. AI needs to see what you see. Chat is the revolution. Don't treat AI like a search engine. Correct errors immediately, keep messages concise, reference prior outputs precisely, and steer aggressively toward your goal. The conversation is the intelligence. Tools matter. Claude Excel for spreadsheets (not Copilot), Granola for meeting notes (no bots), and custom prompts/recipes for repeatable tasks. The right tool eliminates entire categories of friction. Bottom line: Master the setup, structure your thinking, and actually use the chat interface. That's the 1% behavior.

PM's guide to using AI

Curated by Allen Yang

To all PMs: AI might not replace you, but PMs who use AI might This is a collection of curated resources about how PMs can use AI to help them with various tasks. An overall theme here is that there are many specific tasks where AI can help, and if you zoom out, there's potential (though harder to achieve) to reshape longer workflows around AI's capabilities as well. This is an interactive knowledge base, so try asking it some questions, such as: 1. What are all the tactical ways PMs can incorporate AI into their roles? 2. What are some tips for using AI to do competitive analysis? 3. What are some pros / cons to using AI to help with user research synthesis? 4. This is all intimidating and I don't have much time - what are a couple of first steps I can take to use AI more?

This collection examines how QR codes evolved from pandemic necessity to permanent fixture in use cases ranging from financial transactions to restaurant operations. It also reveals a significant disconnect between industry adoption and customer satisfaction. Key Insights The Adoption Gap: While 81% of diners prefer physical menus, restaurants have largely retained QR codes for operational benefits: real-time menu updates, cost savings, and data analytics capabilities. Only 1% of customers actually prefer QR codes, yet the technology persists because it serves business needs more than guest preferences. Generational Divide: Younger diners (18-34) show higher acceptance, but even they prioritize menu variety (42%) and price transparency (34%) over digital convenience. Women express more privacy concerns about data collection than men. Beyond Hygiene: What began as contactless safety has transformed into a strategic tool for loyalty programs, payment processing, and customer behavior tracking—capabilities restaurants are reluctant to abandon despite user friction. Implementation Challenges: Small text readability (26% complaint rate), technology reliability issues, and the requirement to use personal devices create persistent pain points. Success requires careful attention to security, error correction levels, and user experience design. The Broader Shift: QR codes represent just one element of pandemic-era changes that stuck—including self-service kiosks, takeout dominance, and visible cleaning protocols—fundamentally reshaping the dining experience.

Westminster 2026: Penny's Historic Win This collection documents the 150th Westminster Kennel Club Dog Show, where Penny, a 4-year-old Doberman Pinscher, claimed Best in Show at Madison Square Garden. Handler Andy Linton secured his second Westminster victory—37 years after his 1989 win with another Doberman—making this only the fifth time the breed has won top honors. Competition Structure: Over 2,500 dogs across 204 breeds competed in seven groups (Hound, Toy, Non-Sporting, Herding, Sporting, Working, Terrier). Group winners advanced to Best in Show, judged by David Fitzpatrick. Cota the Chesapeake Bay Retriever earned Reserve Best in Show. Key Themes: The milestone 150th anniversary emphasized tradition, handler expertise, and breed-specific excellence. Coverage highlighted the rigorous judging criteria—structure, movement, and functional conformation—particularly evident in the Herding Group analysis. Penny's win underscores the enduring appeal of working breeds and the strategic importance of experienced handlers in elite competition. Cultural Significance: Westminster remains America's oldest continuously-held dog show and second-oldest sporting event after the Kentucky Derby, maintaining its status as the pinnacle of U.S. show dog achievement.

VC Education and Career Development Resource Collection This collection represents a comprehensive guide to venture capital education and career development, spanning from foundational learning resources to practical career opportunities. The materials include structured educational programs (VC University's Berkeley-certified courses), essential reading lists curated by practicing VCs, thought leadership from industry veterans like Fred Wilson and Brad Feld, and current job opportunities in the VC ecosystem. The collection emphasizes democratizing access to VC knowledge through formal education, mentorship, and community building. Key themes include the importance of practical, hands-on learning over theoretical knowledge, the value of networking and mentorship in career advancement, and the evolving nature of venture capital in areas like AI, web3, and emerging ecosystems.

This collection examines the intersection of artificial intelligence and knowledge management, with particular attention to cognitive implications for knowledge workers. The documents reveal a dual narrative: AI promises transformative efficiency gains in knowledge capture, retrieval, and synthesis, yet simultaneously introduces cognitive risks through offloading and automation dependency. Core tension: While AI-enhanced KM systems demonstrate measurable improvements in organizational performance—automating routine tasks, breaking down information silos, and enabling predictive analytics—research on cognitive offloading suggests frequent AI tool usage correlates negatively with critical thinking skills. This creates a strategic paradox: tools designed to augment knowledge work may inadvertently diminish the cognitive capabilities they're meant to enhance. Key themes emerging: The shift from traditional note-taking and knowledge capture methods to AI-assisted approaches fundamentally alters how humans process and retain information. Studies on note-taking reveal that the encoding effect—deeper processing through manual engagement—may be compromised by digital tools. Similarly, AI's role in KM is evolving from supporting routine tasks to enabling real-time knowledge flows, but this transition requires careful attention to human-AI collaboration models, organizational readiness, and ethical governance. Strategic implications: Success depends less on technology selection than on cultivating AI literacy, maintaining human oversight in critical thinking domains, and designing systems that promote mutual learning between humans and AI rather than passive consumption.

Yes, RTFM ( https://www.ableton.com/en/move/manual/ ) But also specific question when you want to know a quick answer.

This collection provides a comprehensive overview of the Professional Women's Hockey League (PWHL) Official Rulebook for 2025-2026. The documents systematically cover all aspects of league play, from the physical playing environment (rink dimensions, goal specifications, ice markings) to team composition (roster limits, captain designation, injured player protocols) and equipment standards. A significant portion focuses on penalty classifications and enforcement, detailing physical infractions (boarding, charging, checking from behind), restraining infractions (holding, hooking, interference, tripping), stick infractions (slashing, spearing, high-sticking), and other violations (delay of game, too many players, unsportsmanlike conduct). The rulebook establishes clear procedures for game officials (referees, linespersons, timekeepers, video replay judges) and their responsibilities, plus detailed game flow mechanics including face-off procedures, line changes, overtime rules, and timing protocols. This collection serves as the complete regulatory framework governing PWHL competition, emphasizing player safety through equipment requirements and penalty structures while ensuring consistent, fair play across all league games.

Ben Lang Angel Investment Portfolio

Curated by Kevin O'Donnell

This collection is a synthesized 'External Brain' of Ben Lang—the pioneer of Community-Led Growth (Notion) and a prolific angel investor in 50+ world-class companies (Deel, Gamma, Luma). Unlike a static repository, this hub uses Liminary’s 'Social Memory' engine to connect years of Ben’s raw interviews with real-time intelligence reports on his portfolio. It is designed for founders and investors who want to skip the search and move straight to the synthesis. Try asking this collection: - What are Ben’s 3 non-negotiables for building a global ambassador program? - Based on his investments in Gamma and Lovable, what is his thesis on the future of AI workflows? - Compare Ben’s early investment criteria for Deel with his current interest in AI Agents. - What are the emerging 'white spaces' in Ben's portfolio that a new founder should target? - How did the Notion Template Gallery strategy solve the "cold-start" problem?

How Lego expanded into a media empire

Curated by Allen Yang

LEGO's Transmedia Empire: From Bricks to Global Brand Dominance This collection reveals LEGO's remarkable transformation from a near-bankrupt toy company in 2003 to the world's most powerful brand through strategic transmedia storytelling and digital innovation. We start back at LEGO's founding with wooden toys (1932) to plastic bricks (1958) eventually to a comprehensive entertainment ecosystem spanning movies, video games, TV shows, theme parks, and digital platforms. The key to LEGO's success is its transmedia strategy: creating interconnected stories and experiences across multiple platforms while maintaining brand consistency. The company leveraged strategic partnerships with major franchises (Star Wars, Marvel, Harry Potter) to expand reach, while developing original IP like Bionicle and Ninjago. LEGO's marketing genius lies in selling experiences and creativity rather than just products, exemplified by The LEGO Movie's meta-narrative that celebrates imagination and building. The turnaround under CEO Jørgen Vig Knudstorp focused on returning to core values while embracing digital integration through platforms like LEGO Ideas, educational partnerships, and community engagement with Adult Fans of LEGO (AFOLs). This approach created a self-reinforcing ecosystem where physical play, digital experiences, and storytelling amplify each other, making LEGO relevant across generations and cultures.