Alternatives
Products that do what Asteroid Impact Probability Tool does
Our B612 Asteroid Institute team launched a demo of ADAM::Impact Probability, a new tool to simulate and visualize potential impact risks from near-Earth asteroids over the next 75 years. Hear from one of our engineers on how it works and how you can use it in the link. You can go directly the impact probability tool at b612.ai but you might want to learn a bit about it first unless you are an astrophysicist already :-)
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I’m proud to announce the April 1 launch of my new startup, Open Asteroid Impact! We redirect asteroids towards Earth for the benefit of humanity. Our mission is to have as high an impact as possible.
2024 · openasteroidimpact.org
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This is a Python (with Rust backend) library for high accuracy orbit calculation of the entire known catalog of asteroids. It is a full N-Body integrator, including lots of additional physics, such as relativistic effects, non-spherical gravitational fields of planets, masses of large asteroids, and a number of non-gravitational forces such as radiation pressure. The design goal is essentially JPL Horizons on your laptop, but all asteroids at once. I began this project while I worked at Caltech on a NASA mission called NEO Surveyor (which is a space telescope designed to survey Near Earth…
2025 · github.com
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2014 · harimohanraj89.github.io
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2012 · telesc.pe
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2014 · leanpub.com
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2013 · asterank.com
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I made a lightweight web game about compute CAPEX tradeoffs: https://darios-dilemma.up.railway.app/ No signup, runs on mobile/desktop. Loop per round: 1. choose compute capacity 2. forecast demand 3. allocate capacity between training and inference 4. random demand shock resolves outcome You can end profitable, cash constrained, or bankrupt depending on allocation + forecast error. Goal was to make the decision surface intuitive in 2–3 minutes per run. It’s a toy model and deliberately omits many real world factors. Note: this is based on what I learned after listening to…
Feb 2026 · darios-dilemma.up.railway.app
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2016 · github.com
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2016 · sputlytics.com
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Heya HN, excited to show off what I've been privately calling an AI cybersecurity tool built by AI skeptics. Two years ago we started a series of experiments with this philosophy of identifying small pieces of cognitive work where a human can very clearly map out the input data they need and the algorithm they'd follow to make a decision. This idea came partly out of frustration with the zeitgeist involving throwing broad AI features (e.g. useless chat bots) into products that end up unreliable and are targeting no clear problem a user might actually have. It feels kind of like a machete vs.…
2025 · semgrep.dev
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2012 · leakmap.com
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A friend and I are launching an alpha first thing in 2011. We're trying to gain some momentum and whatnot, so we're opening early registration as of tonight. We're planning to develop a Bayesian network to derive suggestions. If you're interested in seeing our progress, check it out. Edit: Any and all suggestions, criticism, advice, etc is highly appreciated!
2010 · osmoar.com
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I don't always all-caps, but when I do, it's because every word is an acronym. The NASA HORIZONS[1] system is a telnet service that provides planetary data and ephemeris tables, which are basically coordinate-time plots for celestial bodies. It's pretty archaic and somewhat difficult to use, especially since it just dumps out text tables and you have to parse it to do anything with it. Some projects, e.g. KDE Marble, use it as a data source and typically just consume it with a little procedural code to get what they need. I wanted to provide a full-fledged library for it so that you can…
2013
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Hey HN, We explored how decision-making happens under severe information asymmetry and used career exploration as a test subject. In practice, people converge on a small set of highly legible default paths, with little visibility into credible alternatives. That’s why we’re building Fig, a tool for reasoning about career paths when the next step isn’t obvious, given the dependence on fleeting personal preferences. Most existing tools respond by collapsing uncertainty into a single recommendation or by modeling careers as linear trajectories. That works reasonably well at the recruiting…
Jan 2026 · figcareer.com
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