Alternatives
Products that do what WorldSim does
Probability distributions for 195 countries to 2050
- 1
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
- 2
- 3MC
2021 · quotes.vistimo.com
- 4
Hi HN, we built world-model-optimizer, an open source tool to continually improve a specialized model for an agent. It does this by simulating production tool responses through text world modeling (similar to QwenAgentWorld, summary here https://x.com/silennai/status/2073887455884058814). We can then use this to train a router for frontier, OS, and local models (use defaults or pick which ones to optimize against). wmo ingests agent traces, builds the simulation, embeds the traces, runs different models you choose against the simulation scenarios, and then uses a KNN…
Jul 2026 · github.com
- 5TC
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
- 6E2
2016 · kickoff.ai
- 7SR
2015 · letscrunchit.com
- 8
- 9IM
Hi HN, I built a little tool to help me get better at remembering country locations on the map: https://learn-worldmap.netlify.app/ It's made from plain HTML/CSS/JS, and not intended to make any money or anything. Just thought that maybe someone else may enjoy it. Also of course happy about any feedback! Cheerz.
2023 · learn-worldmap.netlify.app
- 10IB
I built a web page that aggregates data about data center buildup, sovereign fund investments into AI and bottlenecks. The objective is to predict AI race cooldown by looking at a potential decrease of activity involving these elements. The website looks at the quarterly forms from the 5 biggest hyperscalers and adds their CapEx into the mix, calculating a composite index in the end showing how likely it is for the AI race to slow down. Enjoy!
Jul 2026 · laurentiugabriel.github.io
- 11
Members can now see how life decisions could reshape the probability of success of their retirement plans in real time.How Range rewrote its Monte Carlo simulation orchestration layer in Golang to cut simulation time ~39% and power a live, interactive retirement plan.
12d ago · range.com
- 12
- 13WC
2014 · scoragora.com
- 14
Hybrid Prior-Performance Monte Carlo model for forecasting FIFA World Cup knockout outcomes (paper companion code). - fabio-ricardo/worldcup-forecasting-model
Jul 2026 · github.com
- 15II
2019 · income-inequality.info
- 16TA
Hi HN! I’ve spent the summer of the past 2 years building The Atlas, a procedural universe simulator that generates 1 sextillion galaxies (10²¹) from a single mathematical seed. Think No Man’s Sky meets theoretical physics, but running entirely in your browser. Everything is purely deterministic, the universe is calculated from SHA-256 hashed seeds using the golden ratio as primordial constant. There’s no database, no pre-saved data, just pure math. Time itself is treated as a coordinate, so the universe exists as a 4D structure where any moment can be computed on demand. Shut it down for…
Sep 2025 · github.com
- 17
Know who's playing before you book tickets or tune in
Jun 2026 · worldsoccerplanner.com
- 18
Every World Cup stat that mattered — in one data theater
Jul 2026 · football-analysis.xyz
- 19
- 20
Every World Cup qualification scenario, live and interactive
Jun 2026 · matchups.live
- 21
A free topographic map of the latest 10M+ research papers
May 2026 · globalresearchspace.com
- 22
- 23AL
Hi there, I've been working on this library for a while. It started as having the need for just a few random generators that are statistically tested and it quickly escalated to 130+ distributions... So far that's the only library I've seen that has generators that are fully covered by tests. I hope you guys find it useful.
2022 · github.com
- 24PI
Hey HN! I'm Alex, one of the co-founders at Global Predictions. We are officially launching PortfolioPilot today! Since starting the company 2 years ago, we’ve been working tirelessly to build a personal portfolio management platform that empowers everyday people to feel more confident investing. We focused on aggregating your entire net worth, evaluating across a set of standardized metrics, and offering suggestions based on our commercial-grade Macro Insights & Recommendation Engine. We started by building a product we wanted to use and iterated and refined based on early user feedback. We…
2022
Ranked by how close each launch is in meaning, then by votes. Refine with a description →