Research knowledge graph

Every source behind my writing, every concept it touches, and the connections between them. Click a node to read the note. The concepts ringed in gold bridge two or more domains, and that is where my article ideas come from.

How this was built in one day ↗

46 sources81 concepts541 connections12 bridge concepts
2026 State of GTM Engineering26 FAQs About GTM Engineering4 Easy Ways to Implement Systems Thinking65 Notion BuildsA System of AgentsAI Memory ExplainedAI Pricing Reality CheckAI Will Be the Death of OutboundApollo - Signal-Based Selling FrameworkBeginner's Guide to Systems ThinkingBuilding Effective AgentsClay - Complete Guide to GTM EngineeringClay - Waterfall Enrichment GuideCompound AI Design MethodologyCompound AI SystemsContext RotDecibel Developer Marketing PlaybookDesigning for Agentic AIDo You Need a GTM EngineerEffective Context EngineeringEmerging Architectures for LLM AppsFigma Community-Led GrowthGenerative AI Act TwoGenerative AI's Act o1Generative AgentsIntroducing MCPLLM Powered Autonomous AgentsLago Product Hunt PlaybookLenny - Product Hunt Launch GuideLocal-First SoftwareMarketing as Workflows Not CampaignsRise of the AI EngineerSell Work Not SoftwareSubscription Revenue Model ExplainedThe 2026 AI Agent StackThe 4 Stages of Integrative ThinkingThe AI Monetization DebateThe Allocation EconomyThe Case Against AI SDRsThe End of OrganizingThe New Business of AIThe Shutdown PostTheory of the Compound StartupWeb3 and the Next Generation of the InternetWhat Actually Happened During the OpenHuman LaunchWhat Is AI-NativeAI AgentsAI EngineerAI MemoryAI SDRAI StackAI UXAI WrapperAI-Native ProductsAgentic WorkflowsAllboundAllocation EconomyAntifragilityBuild vs BuyChurnClayCognitive ArchitectureCommunity-Led GrowthComposabilityCompound AI SystemCompound StartupCompounding KnowledgeContext EngineeringContext RotCopywritingCustomer Lifetime ValueData OwnershipDecentralizationDecision MakingDeveloper MarketingDistributionEmail DeliverabilityEmergenceEvalsFeedback LoopsFoundation ModelsGTM EngineeringGenerative AgentsGrowth LoopsHuman-in-the-LoopIntegrative ThinkingIntent DataInterconnectednessLeverage PointsLocal-First AIMCPMental ModelsMoatsMulti-Agent SystemsNon-Linear ThinkingNotionOpen Source AIOpen Source GTMOrchestration LayerOutbound AutomationOutcome-Based PricingPattern RecognitionPersonal AIPersonalization at ScalePipelinePricingProduct Hunt LaunchProduct MarketingProduct-Led GrowthPrompt EngineeringRAGRevOpsSeat-Based PricingSecond BrainSecond-Order EffectsService-as-SoftwareSignal-Based SellingSoftware MarginsSubscription Revenue ModelSystems MappingSystems ThinkingTrust CalibrationUsage-Based PricingVector DatabaseVertical AIWaterfall EnrichmentWeb3
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My writingAI-native productsGTM engineeringAI stacksConceptBridge concept
How to read this

One idea, seen from several domains.

Sources are colored by the domain they came from. Concepts are the grey nodes between them. A concept ringed in gold is a bridge: it shows up in two or more domains, which makes it the best seed for an article.

The 12 bridge concepts
My writing: the articles I’ve published, mapped like any other source.AI-native products: how AI products are built, priced and defended.GTM engineering: Clay, signals, outbound, launches, community.AI stacks: agents, context, memory, MCP, local-first.

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