Glassnode vs Duckie

Side-by-side comparison of AI visibility scores, market position, and capabilities

Glassnode

GrowthWeb3

On-Chain Intelligence

Glassnode is an on-chain market intelligence platform tracking blockchain network activity and investor behavior for crypto market analysis.

About

Glassnode is a blockchain analytics and on-chain market intelligence platform that derives investor behavior signals directly from transaction data on Bitcoin, Ethereum, and other major blockchain networks. The platform processes raw blockchain data into interpretable metrics — including realized price, SOPR, MVRV, exchange inflows and outflows, miner revenue, and long-term holder supply — that allow analysts to assess market cycle positioning, liquidity conditions, and investor sentiment without relying on self-reported survey data or traditional financial proxies. Glassnode's indicator library has become foundational for the on-chain analysis discipline, with many of its metrics now standard in professional crypto research workflows.

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Duckie

EmergingInfrastructure

IT Operations

SF YC W24 AI support agent builder at 80% resolution time reduction and 71% ticket deflection; $500K from a16z/Greylock/YC/Netflix competing with Intercom Fin for customer support AI workflow automation.

AI VisibilityBeta
Overall Score
D25
Category Rank
#18 of 68
AI Consensus
59%
Trend
stable
Per Platform
ChatGPT
33
Perplexity
19
Gemini
36

About

Duckie is a San Francisco-based AI customer support platform — backed by Y Combinator (W24) with $500,000 in funding from Y Combinator, Andreessen Horowitz, Greylock, KungHo Fund, Netflix, and 5 additional investors — providing customer support teams with an AI agent builder that translates existing support processes and workflows into predictable, reliable AI automation, achieving 80% reduction in resolution time and 71% ticket deflection for deployed teams. Founded in 2023 and targeting customer support leaders at growth-stage software companies, Duckie enables support teams to deploy AI agents in minutes without engineering dependency.

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