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AI Bubble Oracle

Explore an explicit dot-com/AI-boom analogy, inspect the contributing metrics and see how assumptions change the projected timeline.

2.5/ 5Editorial rating0 user reviews
Visit official siteaibubbleoracle.com
Available on
Web
Pricing
The public experimental dashboard is accessible without a displayed paid plan.

Screenshots and interface

Product preview1 / 1

Historical-cycle metric tree with per-series projected timelines.

What is AI Bubble Oracle?

AI Bubble Oracle aligns historical dot-com-era series with current AI-era indicators. A tree combines valuation, concentration, capital investment, speculative activity and monetary context into higher-level projections. Its value is in exposing the assumptions and counterexamples: several metrics can produce no projection when they do not fit the analogy.

Who it is for

  • Researchers studying technology-cycle analogies
  • Users testing sensitivity to historical anchor choices
  • Readers comparing macro context with related prediction markets

Features and coverage

Available on
Web
Markets & venues
Polymarket
  • Metric hierarchy

    Expand parent and leaf indicators in a roll-up tree.

  • Historical alignment

    Compare the two eras on a shared normalized clock.

  • Anchor controls

    Choose alternative starting events for either era.

  • Smoothing options

    Switch between one- and three-month smoothing.

  • Matching rules

    Compare first crossing with the dominant-climb match.

  • Weights

    Inspect and change parent contributions.

  • Counterexamples

    Keep metrics that do not fit the analogy visible.

  • CSV export

    Download the displayed analytical data.

  • Projection drift

    Sort by the movement of estimated dates.

Workflows with AI Bubble Oracle

Inspect a headline projection

Expand its branches and identify which metrics contribute most.

Test assumptions

Change anchors, smoothing and matching rules and compare the resulting dates.

Read counterevidence

Inspect no-projection metrics before accepting the historical analogy.

Pricing and total cost

The public experimental dashboard is accessible without a displayed paid plan.

Getting started

Before you start: The projected date comes from a historical-shape analogy, not a separately calibrated event probability.

  1. Open Then and Now.
  2. Expand a metric branch.
  3. Read Options & assumptions.
  4. Compare alternative anchors and smoothing.
  5. Inspect no-projection series.
  6. Export data if needed.

Useful links

    What to check

    • The projected date comes from a historical-shape analogy, not a separately calibrated event probability.
    • Shorter anchor histories can make dates unstable or push them beyond the display horizon.
    • Centered smoothing uses a different information structure from a real-time trading signal.

    A closer look

    Ratings & reviews

    Write a review
    Editorial rating
    2.5/ 5
    0 user reviews
    Polytoolhub editorial

    Our take on AI Bubble Oracle

    Editable anchors, weights and exports make the historical analogy inspectable. Its projected timeline remains an experimental shape comparison rather than a calibrated forecast.

    Based on documented features, setup and access terms. How we rate

    User reviews 0

    The main score switches to user ratings after 5 published reviews.

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    Frequently asked questions about AI Bubble Oracle

    Why do some metrics show no projection?

    They do not fit the selected dot-com analogy.

    Can assumptions be changed?

    Yes, including anchors, smoothing and weights.

    Is the headline a market probability?

    No, it is a model timeline under those assumptions.