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Products that do what Paris Rat Simulator does

Simulate how many rats you might encounter in Paris.

  1. 1SP

    We built an ant colony simulation as an internal hiring challenge at Moment and decided to open it up publicly. You write a program in a custom assembly-like (we call it ant-ssembly) instruction set that controls 200 ants. Each ant can sense nearby cells (food, pheromones, home, other ants) but has no global view. The only coordination mechanism is pheromone trails, which ants can emit and sense them, but that's it. Your program runs identically on every ant. The goal is to collect the highest percentage of food across a set of maps. Different map layouts (clustered food, scattered,…

    Mar 2026 · dev.moment.com

  2. 2AA

    This is a weekend project that spiraled out of control. I was originally trying to get Claude to play a ROM of the SNES SimCity. I struggled with it and that led me to Micropolis (the open-sourced SimCity engine) and was able to get it to work by bolting on an API. The weekend hack turned into a headless city simulation platform where anyone can get an API key (no signup) and have their AI agent play mayor. The simulation runs the real Micropolis engine inside Cloudflare Durable Objects, one per city. Every city is public and browsable on the site. LLMs are awful at the spatial stuff, which…

    Feb 2026 · hallucinatingsplines.com

  3. 3AT

    Hi HN community! We want to share AI-town, a deployable starter kit for building and customizing your own version of AI simulation - a virtual town where AI characters live, chat and socialize. Inspired by great work from the Stanford Generative Agent paper (https://arxiv.org/abs/2304.03442). A few features: - Includes a convex.dev backed server-side game engine that handles global state - Multiplayer ready. Deployment ready - 100% Typescript - Easily customizable. You can fork it, change character memories, add new sprites/tiles and you have a custom AI simulation…

    2023 · github.com

  4. 4

    Social + Local + AI map search from ex-Bing team

    2025

  5. 5

    Discover, compare, and choose AI models—100% Free

    2024

  6. 6
    TestAI407

    1,000+ automated tests for AI agents in one click

    2025

  7. 7TT

    Simulate anything on a map from a text prompt -- and conduct risk analysis against LiveUA map's global realtime data points from social media and news sources. I trained a GPT-2-size model on historical incident data used to predict things that will go wrong. As historian Benjamin Breen mentions, the leading language models are good historians, so the application will simulate historical events pretty well also. I include a Multi-Agent RL Urban Mobility model in progress displayed on the map as small white cubes representing traffic and pedestrians. Around SF, it uses real census data and…

    2025 · mused.com

  8. 8

    Generate over 750k+ dogs

    2018

  9. 9
    Booom.ai110

    Generate your next team game with AI

    2023

  10. 10
    CityTor69

    Easy itinerary planner for popular cities

    2022

  11. 11
    Busity100

    Explore Paris 🇫🇷🥖 with the help of the public bus system

    2017

  12. 12

    AI-generated cuteness score for your pet

    2023

  13. 13
    Reason857

    User research on autopilot

    Apr 2026 · reason8.io

  14. 14LP
  15. 15

    Collect, Combine, Create: We gamify creativity with AI!

    2025

  16. 16DT

    at a pub in london, 2 weeks ago - I asked myself, if you spawned agents into a world with blank neural networks and zero knowledge of human existence — no language, no economy, no social templates — what would they evolve on their own? would they develop language? would they reproduce? would they evolve as energy dependent systems? what would they even talk about? so i decided to make myself a god, and built WERLD - an open-ended artificial life sim, where the agent's evolve their own neural architecture. Werld drops 30 agents onto a graph with NEAT neural networks that evolve their own…

    Feb 2026 · github.com

  17. 17AB

    Hi HN, Can current AI systems actually run a business? There’s a growing belief that LLM agents can already manage entire teams, replace the entire software stack or even act as an AI CEO. So we built a controlled, measurable environment to evaluate this premise. Why did we build this benchmark? A modern enterprise operates in a dynamic environment with high uncertainty and incomplete information. The CEO has to deal with delayed consequences, staffing/resource tradeoffs and death by a thousand cuts of failure modes. If we ever want AI systems that can meaningfully make operational or…

    Nov 2025

  18. 18SA

    Building on the concept of generative agents and the success of c.ai, we created Simtown.ai, a 2D NPC simulation where each NPC leverages OpenAI APIs to plan, act, reflect, and adapt. The gameplay is dynamic and immersive—NPCs can move, talk, and idle in scenarios like Harry Potter Town or perform role-specific actions such as voting, giving speeches, and listening in Election Town [https://app.simtown.ai/electiontown]. We’re currently working on features like saving and loading game states, allowing users to create their own NPCs, and enabling user-personas to evolve over…

    2024 · app.simtown.ai

  19. 19

    AI simulates 5 events of a relationship

    Jun 2026 · love-lab.renlab.ai

  20. 20

    Get In front of prospects with ai-generated comments

    2025

  21. 21AB
  22. 22RT

    We built RuleHunt to search for interesting cellular automata rules using tiktok-style engagement monitoring. The first rule shown is Conway’s Game of Life. As you scroll, you will see other random rules – the search space is 2^512. Help us find good rule heuristics by starring the ones you like! On mobile it's a tiktok-like scrolling interface; on desktop it's an interface for targeted rule searching. Starred rules go to a global leaderboard. GitHub repo: https://github.com/rulehunt/rulehunt

    Oct 2025 · rulehunt.org

  23. 23
    DayCity23

    The world's "now" as living art on your home screen.

    Feb 2026

  24. 24TP

    Hey HN! The idea for this started when I came across the election forecast of FiveThirthyEight [1]. They show a 1000 different possible election outcomes - each one possible. In this newspaper homepage, I try to turn these simulations into reality by feeding AI with as much detailed information about a simulation as I can (e.g. voting results per state). See source code here [2]. The whole process is explained in more depth in my blog post: https://nerology.substack.com/p/how-i-made-the-probability-t... [1]…

    2024 · theprobabilitytimes.com

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