Tech Glossary
Your comprehensive guide to tech and startup terminology.
A
Agile
Agile is a project management and software development methodology emphasizing iterative development, collaboration, flexibility, and continuous improvement. Agile teams work in short cycles (sprints), deliver working software frequently, and adapt quickly to changing requirements.
API (Application Programming Interface)
An API (Application Programming Interface) is a set of protocols, tools, and definitions that allow different software applications to communicate with each other. APIs define how requests and responses should be formatted, enabling developers to integrate external services and data.
Artificial Intelligence (AI)
Artificial Intelligence (AI) refers to computer systems designed to perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, and language understanding. AI enables machines to adapt and improve through experience.
C
Conversion Rate
Conversion rate is the percentage of users who complete a desired action out of the total number of visitors or users. Common conversions include purchases, sign-ups, downloads, or any other goal that indicates user engagement or revenue.
Customer Acquisition Cost (CAC)
Customer Acquisition Cost (CAC) is the total cost of acquiring a new customer, including marketing, sales, and related expenses. It's calculated by dividing total acquisition spending by the number of new customers gained in that period.
L
Large Language Model (LLM)
A Large Language Model (LLM) is an AI system trained on massive text datasets to understand and generate human-like text. LLMs use deep learning architectures, particularly transformers, to process and produce language for tasks like conversation, writing, coding, and analysis.
Lifetime Value (LTV)
Lifetime Value (LTV), also called Customer Lifetime Value (CLV), is the total revenue a business can expect from a single customer account over their entire relationship. LTV helps companies understand how much they can afford to spend on customer acquisition.
M
Machine Learning
Machine Learning (ML) is a subset of artificial intelligence that enables systems to automatically learn and improve from experience without being explicitly programmed. ML algorithms build mathematical models based on training data to make predictions or decisions.
Minimum Viable Product (MVP)
A Minimum Viable Product (MVP) is the simplest version of a product that can be released to validate a business idea with real users. It contains only the core features necessary to solve the primary problem and gather meaningful feedback for future development.
P
Pivot
A pivot is a strategic shift in a startup's business model, product, target market, or core offering based on learnings from the market. Pivoting involves keeping what works while fundamentally changing the approach to find product-market fit.
Product-Market Fit
Product-Market Fit (PMF) is the point at which a product satisfies strong market demand. It occurs when customers are actively seeking, buying, and recommending your product because it solves their problem better than alternatives.
Prompt Engineering
Prompt Engineering is the practice of designing and optimizing text inputs (prompts) to get desired outputs from AI language models. It involves crafting clear instructions, providing context, and structuring requests to maximize the accuracy and usefulness of AI-generated responses.
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