Alternatives
Products that do what NAICS Contagion Map does
Interactive mapping of the $1.1T physical economy blind spot
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OP here: I created this visualization tool as the byproduct of a supply chain class I taught at Columbia. The pedagogical exercise grew into a full blown visualization and paper about global oil trade. The model: The mechanics are the same as the financial network Eisenberg-Noe: Instead of banks, every country consumes oil interconnected via bilateral trading. Shocks propagate throughout the network, depleting oil reserves when bottleneck nodes (such as the Strait of Hormuz) are blocked. Insights: The interesting part is the mechanics of how the crisis unfolds: for example, France receives 0…
Jul 2026 · globaloilnetwork.staffinganalytics.io
- 2TC
Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!
Jun 2026 · atomprophet.io
- 3OI
2017 · ohmyco.in
- 4AR
2014 · shuoyangdesign.com
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- 6YA
A curated collection of authoritative and non-authoritative datasets in a OpenStreetMap-compatible format and data model. For now there is just a draft specification and PoC for Madrid.
2022 · yaom.org
- 7IM
Jun 2026 · apparent.social
- 8AO
2018 · apexcharts.com
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- 10AN
2013 · zingfin.com
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- 12BA
I’ve been experimenting with a graph-based approach to a classic trading problem: why most dip-buying strategies can’t tell the difference between a temporary overreaction and a genuine structural collapse. Most systems treat a −5% move the same regardless of context. My hypothesis was that where a company sits in the market’s structure matters more than the price move itself. The engineering idea I built a knowledge graph of the U.S. public markets with ~207k edges across ~21 relationship types, organized into four layers: Operational: supply-chain relationships (SUPPLIES_TO, PRODUCES)…
Dec 2025
- 13OO
2015 · osm2vectortiles.org
- 14CI
Abstract. Token-funded bounties to incentivize competition-style participation in blockchain development projects would result in wider and better allocation of investment, and allow investors to diversify exposure across a field of potentially successful projects. Overall this would increase the rate of progress within development of the blockchain space. We propose a centralised platform for the administration of token-funded bounty driven development projects whereby experts allocate pools of invested capital according to the technical merits of development projects, and investors are…
2017
- 15WC
2018 · watchcoins.net
- 16TW
Hey HN, I'm Jake, and I created Chainspy, a website that aggregates and visualizes on-chain metrics across multiple blockchains like Bitcoin, Ethereum, and others. It's designed to give you insights beyond just price data. Why Chainspy? - On-Chain Metrics: Track blockchain activity (e.g., transactions, active users) across multiple networks, all in one place. - Advanced Charting: Visualize blockchain data with integrated TradingView charts. Ideal for comparing blockchain performance over time. - Wealth Distribution: See how wealth is distributed across wallets and spot centralization trends.…
2024 · app.chainspy.net
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Pre-market intelligence before the bell, without trade calls
Jul 2026 · asksignalatlas.com
- 19SM
I am sharing a research-grade, open-source trading execution framework that achieves a median end-to-end decision latency of 890 nanoseconds on commodity hardware. The project is designed for education, systems research, and latency instrumentation, not for live trading. It focuses on understanding exactly where every nanosecond goes in a trading execution path. Key features: - Kernel-bypass networking: Direct userspace access to NICs via custom drivers, 20-50 ns RX latency - Lock-free SPSC/MPSC queues: Zero-copy architecture - SIMD feature extraction: About 40 ns per update using…
Dec 2025 · submicro.krishnabajpai.me
- 20RT
2013 · coinstream.io
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Stocks, Options , Analytics, Alerts & Diversification
Feb 2026 · secureputcalls.com
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Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…
Jul 2026 · github.com
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- 24DC
I built an open-source system called Horaculo that analyzes coordination and divergence across financial news sources. The goal is to quantify narrative alignment, entropy shifts, and historical source reliability. Pipeline Fetch 50–100 articles (NewsAPI) Extract claims (NLP preprocessing) Generate sentence embeddings (HuggingFace) Compute cosine similarity in C++ (AVX2 + INT8 quantization) Cluster narratives Compute entropy + coordination metrics Weight results using historical source credibility Output structured JSON signals Example Output (query: “oil”) Json Copiar código { "verdict": {…
Feb 2026
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