Subject
38 entries
Analytics
Bookmarks
Reventure App: Real Estate Market Intelligence
Reventure is a real estate data analytics platform providing market insights for investors and homebuyers — visualizing price trends, affordability, and market dynamics across US markets. Data-driven real estate analysis accessible to individual investors.
Mooncake: Analytics Database Inside Postgres
Mooncake is an analytics layer inside Postgres — fast columnar timeseries and analytics built on object storage and Apache Iceberg, no ETL required. Brings data warehouse performance to Postgres without leaving it.
Dawn Analytics
Dawn was an analytics platform built specifically for AI products — tracking usage, quality, and user behavior in LLM-powered applications. The domain has since redirected elsewhere, suggesting the product was acquired or shut down.
Cube: The Semantic Layer for Data Applications
Cube is an open-source semantic layer for building data applications — it sits between your data sources and your frontend, defining metrics, dimensions, and access control in a single place. Eliminates duplicated metric logic across BI tools, APIs, and embedded analytics.
Definite: 10x Faster AI Analytics
Definite is an AI-assisted analytics frontend for the modern data stack — natural language to SQL, auto-generated charts, and collaborative dashboards on top of your existing data warehouse. Positioned as a 10x faster alternative to traditional BI tools like Looker or Mode.
Talkwalker: Consumer Intelligence Platform
Talkwalker is an enterprise consumer intelligence platform for social listening, brand monitoring, and market research — tracking brand mentions and sentiment across social media, news, and forums at scale.
Flipside Crypto — Blockchain Analytics Platform
Flipside Crypto is a blockchain analytics platform providing SQL-queryable on-chain data across Ethereum, Solana, Terra, and other chains. Notable for its bounty model where analysts earn FLOW tokens for producing quality dashboards — crowdsourcing blockchain data analysis.
Defined.fi — DeFi Crypto Price Charts
Defined.fi is a real-time DeFi price chart and trading analytics tool covering DEX activity across Ethereum, BSC, Polygon, and other chains. Designed for active DeFi traders who want TradingView-style charts for on-chain token pairs.
The Web3 Index
Web3 Index tracks real protocol revenue and demand metrics across decentralized networks — focusing on fee generation as a measure of genuine usage rather than token price or TVL. A useful signal-vs-noise filter for evaluating which web3 protocols have real economic activity.
Dune Analytics SQL Snippets
A GitHub collection of SQL query snippets for Dune Analytics and Google BigQuery targeting on-chain Ethereum data. Practical reference for blockchain data analysts who want reusable queries for common DeFi analytics tasks.
EigenPhi: MEV Analytics
EigenPhi is an on-chain MEV analytics platform that scans Ethereum blocks for arbitrage, sandwich attacks, and liquidations, showing the bots, victims, and profit flows. One of the first accessible dashboards for visualizing MEV extraction in real time.
Breadcrumbs: Blockchain Investigation Tool
Breadcrumbs is a visual blockchain investigation tool — traces transaction flows as a graph, identifies counterparty clusters, and flags sanctioned addresses. Used for AML compliance, due diligence, and on-chain forensics.
Token Terminal: Fundamentals for Crypto
Token Terminal provides fundamental financial metrics for crypto protocols — revenue, P/S ratios, TVL, and active users — applying traditional equity analysis frameworks to blockchain-native projects. Useful for evaluating which crypto protocols have real business traction.
L2BEAT: The State of the Layer Two Ecosystem
L2BEAT tracks TVL and security risk across all Ethereum Layer 2 solutions — classifying each by how much trust is required (training wheels vs. fully trustless). The most authoritative public resource for comparing the actual security properties of different L2s.
DEX Metrics — Dune Analytics Dashboard
A Dune Analytics dashboard tracking decentralized exchange (DEX) volume, market share, and activity across major DeFi protocols. The canonical public resource for comparing Uniswap, SushiSwap, Curve, and other DEX activity in 2022.
DeepDAO — Analytics Dashboard for the DAO Ecosystem
DeepDAO is an analytics dashboard and data platform tracking the DAO ecosystem — governance participation, treasury size, token holder counts, and proposal activity across hundreds of DAOs. The go-to resource for DAO-level metrics in 2022.
Practical Advice for Analysis of Large, Complex Data Sets
Patrick Riley's practical guide to analyzing large, complex datasets from his years leading data science on Google Search logs. Covers sanity checks, stratification, and pitfalls that statistical theory alone won't protect you from.
Practical SQL for Data Analysis
Haki Benita's essay showing how SQL can replace Pandas for a surprising range of data analysis tasks — window functions, aggregations, pivoting, and data quality checks. Makes the case that analysts often reach for Python when SQL would be faster and simpler.
The Lazy Analyst's Guide to Amazon Redshift
Periscope Data's practical guide to Amazon Redshift — covering the distribution and sort key mechanics that determine query performance, plus common gotchas for analysts who know SQL but not columnar databases. Still one of the clearest explanations of why Redshift behaves differently from Postgres.
Building Analytics at 500px
A first-person account of building 500px's analytics infrastructure from scratch — Amazon Redshift data warehouse, Luigi ETL, Periscope BI. The 20% evangelism rule and 'don't bake your own ETL' lesson make it one of the most practical early data engineering retrospectives.
HyperLogLog in Pure SQL
Periscope Data's post implementing HyperLogLog in pure SQL — a probabilistic cardinality estimator that counts distinct values using a fixed amount of memory regardless of dataset size. Clever engineering that demonstrates how probabilistic algorithms can be embedded in SQL-only environments.
The Next Big Thing You Missed: Keen IO's Plot to Beat Google at Big Data
Wired's 2014 profile of Keen IO — a startup offering analytics-as-an-API to let developers add event tracking without building their own data infrastructure. A bet that the analytics pipeline problem was common enough to be sold as a service.
Rolling Average in Hive
Brent Ozar's walkthrough of computing rolling averages in Hive — a problem that looks like a simple SQL query but requires window functions or self-joins in Hive's then-limited SQL dialect. A practical data engineering puzzle from the Hadoop era.
Cargo Cult Analytics
A four-step framework for avoiding cargo cult analytics — the pattern of running analyses that look like data science without asking whether the questions and methods actually match. A useful corrective for teams that confuse process with rigor.
INFORMS Narrows Big Data Skills Gap
INFORMS (the operations research professional society) launching continuing education courses to address the big data skills gap in 2013 — a telling sign that demand for analytics talent had outpaced formal education pipelines. The gap was real, but the institutional response came well after the bootcamp ecosystem had already mobilized.
Why Data Virtualization Is Good for Big Data Analytics
Data-Informed's case for data virtualization in big data analytics — querying data in-place across Hadoop, relational databases, and other sources without physical ETL. A precursor to the 'data fabric' and 'data mesh' concepts that would emerge years later.
Datashaping Analytics Book (ABbook5)
A self-published analytics/statistics PDF by Vincent Granville (datashaping.com) — one of his data science book resources available as a free download circa 2013. Granville was an early data science community builder who self-published extensively on applied analytics.
Nutanix Engineer Explains Why His Appliance Makes Sense for Analytics
SiliconAngle interview with a Nutanix engineer making the case for why hyper-converged infrastructure is well-suited to analytics workloads in 2013. Nutanix was positioning its appliances as a natural home for Hadoop alongside traditional virtualization.
You Are More Influential Than You Think You Are
Jay Shah's post on Facebook's finding that ordinary users have larger social influence than they think — driven by the long tail of weak-tie connections that Facebook's social graph captured better than individuals' self-perception.
The Most Mind-Blowing Patterns from Data Analysis
A Quora thread collecting data scientists' most surprising analytical discoveries — unexpected patterns that upended assumptions or revealed hidden structure. A catalog of the 'aha moments' that make exploratory data analysis valuable.
The Value of Big Data Isn't the Data
HBR argument that the value of big data comes from the questions you ask and the actions you take, not from data accumulation itself. An early and important counterpoint to the data-as-moat hype of 2013.
How Data Is Changing the Car Game for Ford
GigaOM on how Ford was using sensor telemetry, customer behavior data, and simulation to inform vehicle design decisions in 2013 — an early industrial example of data closing the loop between product performance and design iteration.
How to Tell a Story with Data
HBR guide on turning data analysis into effective narrative — the argument that the audience and the story structure matter as much as the data itself. Focus on the message first, then find the visual that delivers it.
Metrica — Finding Your One Metric That Matters Using SQL
Metrica's post on using SQL to identify your One Metric That Matters — the single KPI that best captures a startup's core health. A practical guide to distilling complex product data into a focus metric.
Walmart Makes Big Data Part of Its DNA
Walmart's 2013 integration of big data and social media analytics into retail operations — one of the first major brick-and-mortar retailers to make data infrastructure a competitive differentiator rather than just a reporting layer.
The Utilization Gap: Big Data's Biggest Challenge
Forbes on the gap between data collection capability and actual data use in 2013 — organizations were investing heavily in Hadoop and data warehouses while most of the collected data sat unanalyzed. The insight that technology was not the bottleneck; talent and culture were.
GitHub Archive: Daily Repo Reports
GitHub Archive's daily repo reports newsletter from 2012 — an early attempt to surface trending repositories and developer activity from the GitHub firehose. A predecessor to the modern 'GitHub trending' feature and developer discovery tools.
Ducksboard: Real-Time Dashboard for Web Services
Ducksboard, a 2012 real-time dashboard SaaS for tracking web service metrics — bookmarked as a tool reference in the early days of the startup metrics and SaaS dashboard space. Ducksboard was acquired by New Relic in 2014.