Opportunity report AI draft report Trending eval Listed publicly

Reading mode

Readable in one screen · decide continue or stop first

ConceptDid prediction markets do any predicting this midterms?

After each election, did prediction markets actually predict

Author · MicroValidator Last updated Who this is for Independent election analysts, political journalists, and prediction-market trad

Core takeaway / TL;DR

Worth running a one-week, low-cost experiment: build a small scorecard that comp

Suggested next step Focus on a single narrow wedge: a post-election prediction-m

Worth running a one-week, low-cost experiment: build a small scorecard that comp

Next experiment

Focus on a single narrow wedge: a post-election prediction-m

Best thing to validate

A reusable accountability layer for prediction markets: after every election, pe

Biggest risk

The need may be episodic and one-off: most people may just read free articles af

Critical assumption (summary)

A specific segment (e.g., election analysts or prediction-market traders) repeatedly needs a fast, credible prediction-m

Show objections and continue/stop

Strongest objection

The midterm post-mortem is a narrow, episodic event; users may only need it a few times a year, and free news articles o

Continue if

If several describe a painful manual process and say they would pay for automation, build a focused scorecard for one el

Pivot if

If most say they are only curious and would not pay, or can get the answer from free blog posts, stop and pivot to a bro

Show score rationale

The product concept, a prediction-market post-mortem scorecard, was inferred from a keyword/question, not from observed user behavior or market research.

Fill the critical gaps (max 2)

“I don’t know” is fine — we give how to get evidence; we never invent interviews or payments.

Q: Who specifically needs this after every election, and how often would they pay?

If the need is only a one-time curiosity, a micro-SaaS cannot survive.

How to get evidence: Run 5–8 short conversations with people in prediction-market communities; ask what they did after the last midterms to judge market accuracy and whether they pa

Q: Can we reliably get historical prediction-market probability snapshots for enough races?

The whole product depends on clean historical data; if it is scattered or unavailable, the wedge will not work.

How to get evidence: Build a small scraper or API connector for 3–5 races from one or two public market sources and time the data retrieval and cleanup.

02 Where the signal came from

Raw keyword

Did prediction markets do any predicting this midterms?

Discovery channel

Hacker News

Source note

Hacker News Show HN · 产品向标题线索，非需求证明

04 Business breakdown

Who needs this

Independent election analysts, political journalists, and prediction-market traders who need a clear answer to 'were the markets right?' after an election.

Job to be done

When an election cycle ends, I want to see a comparison of prediction-market probabilities with actual results, so I can quickly judge market efficiency and make a credible public claim without manually collecting data.

Why they might pay

Paying users are those who need the answer fast and defensibly for an article, a trading strategy review, or a subscriber update; their alternative is hours of spreadsheet work or waiting for someone else's analysis.

Alternatives

Manual scraping from prediction-market sites; free post-election articles; academic papers; existing election-forecasting sites.

Differentiation wedge

A one-page scorecard for 3–5 high-profile races: market probability before election day, actual outcome, and a simple accuracy metric such as hit rate or Brier score.

OPC scope

A single-page tool or static report generator that takes a few election races and outputs market-vs-actual accuracy metrics.

Open questions

  • Which prediction market or markets should the first version cover?
  • Which races best test the value of the tool?
  • Do users need real-time tracking before an election, or only post-election analysis?
  • Would users pay per report, per election cycle, or via subscription?

05 Search & acquisition

Primary channel:

Prediction-market subreddits and Discord servers, political data journalism communities, Hacker News, and X/Twitter threads on election markets.

Click a keyword to copy. Tags: AI candidate / queried / thin sample.

Talking points

  • Stop guessing — see which markets actually called the races.
  • From raw market prices to a one-page scorecard in seconds.
  • Prediction markets need accountability: did they beat polls?

Minimum experiment 06 Minimum validation experiment

One falsifiable step before you continue or stop.

Valid signal = real task completion, reuse, or pay intent — with observe + continue/stop.

Pick 3–5 races from a recent US election cycle and source archived prediction-market probability snapshots and final outcomes from public APIs or documented archives.

Observe

Time needed to collect and clean data; any races that fail because snapshots are missing.

Continue

At least 3 races can be matched with usable data within 2–3 days.

Stop

No reliable source of historical probabilities exists outside manual screenshots.

Create a minimal script or tool that turns the collected data into a shareable one-page scorecard with market probabilities, outcomes, and one or two accuracy metrics.

Observe

Whether the output is clear without manual explanation; how much time the script saves.

Continue

A non-technical person can interpret the scorecard in under two minutes.

Stop

The format needs so much custom explanation that automation adds little value.

Show the prototype to 5–8 people in a prediction-market community and ask what they did after the last election to judge market accuracy.

Observe

Specific comments about their workflow, frustrations, and whether they ask to use the tool.

Continue

At least 2 describe a recurring, painful manual process and ask for access.

Stop

Feedback is mostly 'interesting' but no one describes a real follow-up task.

Offer a paid version, such as a $20 custom scorecard for a single race or district, to the same group or a small waitlist.

Observe

Any payment, pre-order, or explicit commitment to pay; record all no-thanks reasons.

Continue

At least one person pays or pre-pays.

Stop

There is high interest but zero payment intent after direct offers.

Publish the free scorecard for one race on Hacker News or a prediction-market community as a test of distribution.

Observe

Comments, shares, follows, and any requests for a fuller version.

Continue

The post generates unprompted questions about where to access a fuller tool.

Stop

No engagement in the first 48 hours.

FAQ

Should I keep building this idea?

Worth running a one-week, low-cost experiment: build a small scorecard that comp

What is the smallest next experiment?

Focus on a single narrow wedge: a post-election prediction-m

What is the biggest risk right now?

The need may be episodic and one-off: most people may just read free articles af

Who is this validation for?

Independent election analysts, political journalists, and prediction-market traders who need a clear answer to 'were the markets right?' after an election.

How should I read the score?

Current OPC feasibility score is 5/100. It is an AI-assisted executability check, not a market guarantee. Low scores mean “prove demand first,” not “never build.”

07 Evidence & boundaries

Demand evidence summary

Only an interest signal from a Hacker News keyword is available. There is no observed behavior, no usage data, and no payments. The next step is to test the nee

External record

  • A Hacker News item contains the question 'Did prediction markets do any predicting this midterms?', suggesting interest in prediction-market accuracy post-morte · Source: User-supplied Hacker News keyword · 2026-05-09 · Supports: interest

User-stated

  • Keyword supplied: 'Did prediction markets do any predicting this midterms?'

Model hypothesis

  • People following prediction markets may want an automated, dispassionate scorecard after elections.
  • Journalists and analysts may use such a scorecard as a credible shortcut for stories or reports.
  • The question implies a desire to know not just who won, but whether markets added predictive value over polls.

Known facts

  • The user supplied the keyword 'Did prediction markets do any predicting this midterms?' and said it came from Hacker News.
  • Prediction markets such as Polymarket, Kalshi, and PredictIt exist and trade on election outcomes.
  • US midterm elections occur on a fixed cycle.

Unverified assumptions

  • The phrase reflects an interest in evaluating prediction-market accuracy, but this is not confirmed.
  • Election analysts, journalists, or traders might be willing to pay for an automated scorecard.
  • Historical probability snapshots for at least a few races are publicly accessible.

AI inference: The product concept, a prediction-market post-mortem scorecard, was inferred from a keyword/question, not from observed user behavior or market research.

Advanced: one-click frontend skeleton

Turn this idea into a single-file HTML MVP (Tailwind CDN + core interaction mock).