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Alternatives

Products that do what Will This Happen does

Bringing (uncertain) certainty to politics

  1. 1

    Create debates between different personas with any LLM

    2024

  2. 2

    Predict business critical outcomes, down to a specific date

    2022

  3. 3

    Predicts advancements in science and technology

    2015

  4. 4

    Automate actions based on AI predictions

    2022

  5. 5

    Bot that measures political bias in articles

    2017

  6. 6

    AI-Powered Visual Search Engine, Search by Seeing with GPT

    2024

  7. 7

    AI agents that run automatically on business events

    May 2026

  8. 8
    Wonker84

    User-generated explanations on complex current events.

    2014

  9. 9

    AI brings historical figures to comment today’s news

    2023

  10. 10

    Experience history like never before with our AI chatbots

    2023

  11. 11

    Deep learning AI that recognizes when are people uncertain.

    2018

  12. 12AS
  13. 13

    Multiple AI models debating & brainstorming together 🤩

    2025

  14. 14

    Fight fake news with Advanced AI on your phone

    2020

  15. 15

    Guess what artificial intelligence labeled random images

    2021

  16. 16

    Unpredictable drawbridge openings now predictable with AI.

    2019

  17. 17WW
  18. 18AT

    2018 · uncertain.io

  19. 19AA

    Finding the balance between humans and machines has been the thread through my career. I always had a thing for AI and couldn't wait for it to actually deliver on what was promised. Now it does, and it's more important than ever that humans and machines keep working well together. AI makes creation trivial. Text, code, design, strategy, in seconds. But one thing AI does not create: independently verifiable proof of when something existed. Reproducing is now cheaper and easier than creating. Chronology becomes contestable at the moment it matters most. The universal problem was known. I…

    Mar 2026 · umarise.com

  20. 20IB

    Hi HN, I'm the creator of this project. For the past months, I've been working on building an AI agent that could move beyond simple generation and tackle inventive challenges autonomously. The core idea was to create a system with a "metacognitive loop"—the ability to recognize when it's stuck on a fundamental problem and then launch a sub-mission to solve that specific bottleneck before continuing. The linked article is a deeper introduction to the system's architecture and a snapshot from a recent run. I tried to design it to be evidence-grounded and self-critical to avoid the pitfalls of…

    2025 · robw1se.substack.com

  21. 21ER

    Hi HN, we're Jack and Daniel from Zep. We've built a visual exploration tool and AI assistant for analyzing Russian election interference in the run-up to next week's US elections. The Explorer uses Graphiti, Zep's open-source temporal Knowledge Graph library. Graphiti autonomously creates dynamic, temporally-aware knowledge graphs representing complex, evolving relationships between entities. To offer users a detailed view of Russian state operations and related topics, we populated the graph with over 50+ sources. These include US DOJ indictments, research by US and foreign governments,…

    2024 · blog.getzep.com

  22. 22TT

    When learning about history, I like to visualize when certain events happened relative to other events to better understand the context. I started working on this idea of using AI to take an input topic and generate an interactive timeline of important events within the topic. Some topics to try: "Tell me about the history of space exploration" "When were important fossils discovered?" "Show me when all the nintendo consoles were released" For now the generated events must be "known" by the LLM. One idea to improve event generation is to hook the AI up to a Wikipedia MCP server or something.…

    2025 · timeline-of-everything.milst.dev

  23. 23AH

    This paper formally defines where current AGI hits a structural wall — not a technical one. It shows that no amount of scaling, reinforcement learning, or recursive optimization will break through three deep epistemological and formal constraints: 1. Semantic Closure — An AI system cannot generate outputs that require meaning beyond its internal frame. 2. Non-Computability of Frame Innovation — New cognitive structures cannot be computed from within an existing one. 3. Statistical Breakdown in Open Worlds — Probabilistic inference collapses in environments with heavy-tailed uncertainty.…

    2025

  24. 24IB

    Hi HN! I built a proof of concept 'newspaper' that creates short news articles of today's current events with GPT. This is a very rough proof of concept but I can't help but think this concept is the future. I think we'll all have AI daily newspapers in whatever theme we want, covering any amount of information we want, with the ability to expand or contract article length instantly. Sharing just to get everyone thinking about this future. Thanks for reading!

    2023 · thegordonpost.com

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