Marketing analytics is the discipline of collecting, measuring, and interpreting marketing data across channels, campaigns, audiences, and customer journeys. It informs budget, creative, targeting, lifecycle, and product decisions, executed through web analytics, product analytics, ad platform reporting, attribution tools, customer data platforms, and the modern data warehouse. It is the function that turns the firehose of marketing data into decisions a leadership team can act on.
The modern marketing analytics stack typically combines: web analytics (Google Analytics 4 as the default since Universal Analytics sunset in 2023, with alternatives like Plausible, Fathom, Matomo for privacy-leaning teams), product analytics ...
A foundation model is a large-scale AI model trained on broad, diverse data and designed to be adapted to many downstream tasks. Adaptation happens via fine-tuning, prompting, or API access. The term was coined by Stanford's Center for Research on Foundation Models in 2021 and now describes GPT-4, Claude, Gemini, Llama, Mistral, and similar models that form the base layer of the modern AI stack. The foundation model is to AI applications what AWS is to web applications: shared infrastructure that powers everything built on top.
What distinguishes foundation models:
Scale: hundreds of billions to trillions of parameters. Trained on hundreds of billions to trillions of tokens of data.
General-purpose training: trained on broa...
Equity crowdfunding is raising small equity investments from many non-accredited investors via SEC-regulated online platforms. Platforms include Wefunder, Republic, StartEngine, NetCapital, and Microventures, enabled by the 2012 JOBS Act and operationalized through Regulation Crowdfunding (Reg CF, effective 2016) and Regulation A+ (Reg A, expanded 2015). It is distinct from reward-based crowdfunding (Kickstarter, Indiegogo) where backers receive products rather than equity, and from donation-based crowdfunding where contributors receive nothing. It is the funding mechanism that lets startups raise from their customer base and the broader public without the wealth-gate restrictions of traditional accredited-investor offer...
A traction startup is one that has produced measurable, quantitative evidence that its product is being adopted, used, and valued by customers. The evidence shows up in metrics like revenue growth, paying users, retention, engagement, or specific conversion behaviors that prove the market wants what the company is offering. Traction is the precursor to product-market fit (PMF): the early signal, where PMF is the durable state when that signal becomes sustainable, accelerating demand.
Real traction is distinguished from vanity metrics by one test: does the number get bigger as the company stops pushing on it, or only when the company pushes? In a pitch deck, the underlying traction shows up as the [Traction Slide]. Press mentions, a...
Investor targeting is the process of identifying which venture firms and partners are the right fit for a round, done before any outreach happens. The work weighs the firm's stage focus, sector thesis, typical check size, recent portfolio investments, available capacity, and the individual partner's specific track record and known interests, tracked in a spreadsheet or CRM that runs the entire fundraise. It is the work that separates founders who pitch the right investors and close rounds from founders who pitch any willing investor and burn months getting filtered.
The firm-level criteria that matter: stage (seed funds invest at seed; growth funds don't invest at seed; targeting wrong-stage funds wastes everyone's time),...
An "AI wrapper" is the dismissive term for AI products that primarily call foundation model APIs and add minimal value beyond a UI on top. The critique: such products have no defensible moat because anyone can call the same OpenAI, Anthropic, or Google APIs. The label is applied (sometimes fairly, sometimes lazily) to a large fraction of post-ChatGPT AI startups. Whether the criticism is fair depends entirely on what the company has built beyond the API call.
The fair version of the critique:
A pure AI wrapper:
Common stock is the basic ownership share class of a corporation, held by founders, employees, and option-holders after exercise. It represents residual ownership in the company after all preferred-share rights are satisfied. In a venture-backed startup, common stock is junior to every series of preferred stock in liquidation waterfalls and typically carries fewer rights than preferred, though it carries the upside in exit scenarios above the preferred preference amounts.
The structural position of common stock in a venture-backed cap table: founders hold common from day one, employees receive options that exercise into common, advisors hold common (often via restricted stock or options), and early non-priced investors (SAFE an...
Burn rate is the monthly pace at which a startup spends cash, split into gross burn (total outflow) and net burn (outflow minus revenue). Founders and investors must keep these two measurements separate. Net burn is the number that determines runway and gets the most investor attention; gross burn is the number that determines how exposed the company is if revenue stops.
The two numbers, with examples:
| Company state | Monthly expenses | Monthly revenue collected | Gross burn | Net burn |
|---|---|---|---|---|
| Pre-revenue | $150K | $0 | $150K | $150K |
| Early revenue | $150K | $50K | $150K | $100K |
| Growth stage | $400K | $300K | $400K | $100K |
| Approaching cash-flow neutral | $500K | $480K | $500K | $20K |
| Cash-flow positive | $500K | $550K | $500K | -$50K (cash growing) |
Why both numbers matt...
An arbitration clause is a contract provision requiring that disputes between the parties be resolved through binding arbitration rather than court litigation. The clause typically specifies the arbitration provider (AAA, JAMS, ICC), the rules, location, arbitrator selection, class action waivers, and confidentiality terms. It has implications for cost, speed, privacy (arbitration is private; court is public record), appeal rights (extremely limited in arbitration), and discovery scope (typically more limited than court). Arbitration clauses are increasingly common in commercial contracts, employment agreements, and consumer terms of service. It's the contract provision that determines whether disputes go to court or to a...
Generative AI is the category of AI systems that create new content (text, images, code, audio, video, 3D) rather than classifying or analyzing existing data. The November 2022 release of ChatGPT marked the cultural and commercial inflection point that transformed generative AI from research curiosity to mainstream technology used by hundreds of millions of people within months. It's the category of AI that produces output rather than just labels or predictions.
The pre-ChatGPT history (compressed):
2014: Generative Adversarial Networks (GANs) introduced. First major generative image breakthrough.
2017: Google's "Attention is All You Need" paper introduces the Transformer architecture (the foundation for modern LLMs).
2018: Op...