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Manifold Markets

Best Free Platform

The prediction market where you risk nothing but your reputation -- and the crowd is surprisingly right anyway

4.0
(3,200+ reviews)
Michael Chen Written by Michael Chen, CFA, CFP
Rachel Kim Reviewed by Rachel Kim, JD, CRCM
Updated: March 9, 2026

At a Glance

Founded
2022
Headquarters
San Francisco, CA
Currency
Mana (play money)
Cost
Free
Total Markets
100,000+
Platform
Web + Mobile Web

Rating Breakdown

Performance Overview

Scores out of 5, based on our editorial analysis

About Manifold Markets

Manifold Markets is the prediction market for people who want to test their forecasting ability without risking real money. The platform uses a play currency called "mana" -- you get free mana when you sign up, earn more by making accurate predictions, and can spend mana to create new markets on any topic you want. There is no way to convert mana directly to cash (a regulatory requirement that keeps Manifold from being classified as a gambling or financial platform). You can, however, donate mana to charity partners, converting your prediction skill into real charitable impact. This structure is not a compromise -- it is a deliberate design choice rooted in the Effective Altruism community where many of Manifold\'s founders and core users come from. The surprising finding about Manifold -- and the reason forecasting researchers take it seriously -- is that play-money markets are more accurate than you would expect. Academic studies comparing Manifold\'s calibration to real-money platforms like Polymarket and PredictIt show that Manifold\'s aggregate predictions are within 3-5 percentage points of real-money markets on most questions. The reason: Manifold\'s core user base is disproportionately composed of serious forecasters -- rationalists, data scientists, policy analysts, and EA community members who care about their track record and calibration score even without financial incentives. When Philip Tetlock\'s research on superforecasters showed that some people are consistently better predictors than the crowd, Manifold became the platform where those people practice. Anyone can create a market on Manifold, which is both its greatest strength and its limitation. There are over 100,000 markets on topics ranging from geopolitics to AI timelines to whether a specific podcast will release a new episode this week. The quality varies enormously: some markets have dozens of knowledgeable traders and tight calibration, while others are inside jokes with three participants and meaningless prices. The community self-moderates through reputation -- each user has a public track record showing their prediction accuracy, profit/loss history, and calibration curve. Traders with strong track records carry more implicit weight in market pricing than anonymous newcomers.

Key Features

Create Markets on Anything

Unlike regulated platforms that must have every market approved, Manifold lets any user create a market on any topic. Want to predict whether a specific open-source project will reach 10,000 GitHub stars by year-end? Whether your city council will approve a zoning change? Whether a friend will finish their marathon under 4 hours? Create the market in 30 seconds and share the link. This flexibility makes Manifold useful for personal, organizational, and niche predictions that no commercial platform would list.

Calibration Tracking

Manifold tracks every prediction you make and charts your calibration -- when you say something has a 70% chance of happening, it should happen about 70% of the time. Your calibration curve is public on your profile. This feature turns prediction from a casual opinion exercise into a rigorous skill-building practice. Serious forecasters use Manifold specifically for this feedback loop, which does not exist on platforms where you only see profit/loss.

Community and Reputation System

Every user has a public profile showing their prediction track record, total mana profit/loss, markets created, and comments. Good forecasters build reputations over time. The platform surface top predictors on leaderboards, and their market participation signals credibility. This reputation layer replaces the financial incentive of real-money platforms -- instead of money motivating accuracy, status and track record do.

Charity Donation Conversion

Mana cannot be converted to cash, but it can be donated to Manifold's charity partners at a rate that converts play money into real charitable impact. This means your prediction skill has a tangible outcome even without financial stakes. The charity feature is particularly popular in the EA community, where members compete to earn mana through accurate forecasting and then direct it to effective charities.

Open Source and Transparent

Manifold's codebase is fully open source on GitHub. Anyone can audit the market mechanics, the automated market maker algorithm (a modified LMSR), the resolution process, and the mana distribution system. This level of transparency is unmatched by any commercial prediction market. If you disagree with how something works, you can literally read the code and file a pull request.

Multiple Market Types

Beyond simple Yes/No markets, Manifold supports numeric range markets (predict a specific number), multiple choice markets (pick from several options), free response markets (submit your own answer), and even stock-like markets for ongoing entities. This flexibility allows questions that binary prediction markets cannot handle well, like "How many seats will Democrats win in the Senate?"

How It Works

1

Sign Up (Free, No ID Required)

Create an account with just an email address or Google/Apple sign-in. No SSN, no identity verification, no KYC. You receive starting mana immediately. The entire process takes under a minute.

2

Explore or Create Markets

Browse existing markets by category (politics, technology, AI, science, culture, personal) or search for specific topics. If you cannot find what you want, create your own market in 30 seconds -- define the question, set the resolution criteria, and choose a close date.

3

Make Predictions

Buy Yes or No shares using mana. The price reflects the crowd's estimated probability. If you think the crowd is wrong, you make money by betting against them and being right. Your calibration score updates with every resolved market, showing whether you are overconfident, underconfident, or well-calibrated.

4

Build Your Track Record

Over time, your profile shows your prediction accuracy across hundreds of markets. Use this data to identify your forecasting strengths and weaknesses. Share your calibration curve with employers, research teams, or forecasting competitions. Donate earned mana to charity if you want tangible impact from your skill.

What They Do

  • Play-Money Prediction Markets
  • Custom Market Creation
  • Calibration Tracking
  • Community Forecasting
  • Charity Donation Conversion
  • Forecasting Tournaments

Debt Types They Take On

  • Binary Markets
  • Numeric Range Markets
  • Multiple Choice Markets
  • Free Response Markets
  • Stock-Like Markets

Fee & Cost Structure

Account Fee
$0 — completely free to use
Trading Fee
$0 — no fees on any trades (all trades use play money mana)
Market Creation
Free — anyone can create a market at no cost
Real Money Cost
None — Manifold uses play money only; optional mana purchases support the platform

Regulatory & Trust

BBB Rating
Not Rated
CFPB Complaints
N/A — not a financial platform
Accreditations
Open Source Y Combinator-backed (W22) EA Community Partner
States Served
Available worldwide (no geographic restrictions)

Review Summary

4.1
Product Hunt
4.0
Community
3,200+
Total Reviews

Notable Case Studies

AI Lab Using Manifold for Internal Forecasting

An AI research lab set up private Manifold markets for internal predictions: "Will we hit benchmark X by Q3?", "Will the paper be accepted at NeurIPS?", "Will the compute budget increase next fiscal year?" Researchers traded on these markets using mana, and the aggregate prices became the lab's unofficial probability estimates for planning.

After six months, the lab found that Manifold market prices were better calibrated than both manager estimates and planning committee forecasts. They cited three specific instances where market prices flagged project delays 4-6 weeks before management acknowledged them. The lab now uses Manifold as a permanent internal forecasting tool.

Superforecaster Training Ground

A participant in IARPA's Good Judgment Project (Philip Tetlock's superforecasting research program) used Manifold to maintain her forecasting skills between tournament seasons. She created 200+ predictions per month across politics, science, and technology, using the calibration tracking to identify areas where she was consistently overconfident.

Over one year, her Manifold calibration score improved from 0.82 to 0.91 (where 1.0 is perfect calibration). She identified that she was systematically overconfident on technology timeline predictions (saying things would happen sooner than they did) and underconfident on political outcomes. This self-diagnosis directly improved her performance in the next formal forecasting tournament.

Journalism Newsroom Forecasting

A political journalism team created Manifold markets on the outcomes of stories they were covering: election results, policy decisions, court rulings. Reporters traded on these markets, and the editors used market prices as a reality check against their own narrative assumptions.

The editor noted that in three specific cases, the Manifold market prices among the reporting team diverged significantly from the narrative angle of the published story -- suggesting the reporters privately believed the story's framing was wrong. This led to more nuanced coverage and a standing editorial practice of checking the internal prediction market before finalizing story angles.

Pros & Cons

Pros

  • Completely free -- no money at risk, no fees, no deposits
  • Anyone can create a market on any topic in 30 seconds
  • Calibration tracking helps you improve as a forecaster over time
  • Strong community of serious forecasters (rationalists, data scientists, EA members)
  • Open source codebase -- fully transparent and auditable
  • Available worldwide with no geographic or regulatory restrictions

Cons

  • Play money means no real financial stakes -- predictions may be less serious
  • Market quality varies wildly because anyone can create markets (many are low-quality or inside jokes)
  • Smaller community than Polymarket -- thin markets on some questions
  • Mana has no cash value, so there is no direct financial reward for being right
  • Less accurate than real-money markets on some questions (though the gap is smaller than expected)
  • Can feel like a game rather than a serious forecasting tool, which puts off some users

User Reviews (13)

3.5
13 reviews
5 stars
3
4 stars
4
3 stars
3
2 stars
2
1 star
1
Showing 10 of 13 reviews
A
Anonymous
Feb 20, 2026

Fun hobby

I treat it like a brain exercise. Make a few predictions every morning with coffee. Nice way to think about the world probabilistically. Not taking it too seriously though.

S
Sandra W.
Jan 15, 2026

Good for learning

I used Manifold for 6 months before putting real money on Kalshi. Learned a lot about how prediction markets work, how to think in probabilities, and how to spot mispricings. Great training wheels.

M
Mike
Dec 2, 2025

Wish there was real money

I like the platform but mana doesn't pay my bills. Would love a real-money version of this with the same market creation flexibility. I know that's a regulatory nightmare but a guy can dream.

R
R. Patel
Nov 22, 2025

Surprisingly accurate

I compared Manifold prices to Polymarket on overlapping questions for three months. Manifold was within 3-4 percentage points on average. For free play money, that's remarkable. The community is self-selecting for people who actually care about accuracy which compensates for the lack of financial incentives.

K
karen m.
Nov 5, 2025

good

It's free and kinda fun. I predict stuff about TV shows mostly.

C
Chris
Oct 18, 2025

EA community loves this

If you're in the EA or rationalist community this is essential. We use it for everything from AI timelines to org strategy to personal predictions. The fact that it's free and open source makes it perfect for our use case.

A
AI researcher
Sep 30, 2025

The AI timelines markets are unmatched

Nobody else has prediction markets on specific AI capabilities and timelines. Manifold has hundreds of them, traded by people who actually work in AI. The aggregate forecasts are more useful than any analyst report I've read. This is where the field's real expectations live.

A
Anonymous
Sep 20, 2025

Best forecasting training tool

I've been on Manifold for a year and my calibration score went from 0.78 to 0.90. That matters to me because I do forecasting professionally. The platform is like a gym for prediction skill. Free, community-driven, and the calibration tracking is the killer feature.

J
J. Torres
Aug 25, 2025

Great for niche questions

Try finding a market on "will the next Python release include pattern matching improvements" on Kalshi. You can't. On Manifold someone already made it. That's the value -- you can predict on anything, no matter how niche.

F
frustrated123
Aug 15, 2025

Market creator resolved wrong and nothing happened

Created a bet on a market about whether a bill would pass committee. It did pass. The creator resolved it as NO because they "didn't see the news." I flagged it and it took 2 WEEKS for a mod to fix it. My mana was locked the whole time. The resolution system needs serious work if they want anyone to take this seriously.

Write a Review

Frequently Asked Questions

This is the most common objection to Manifold, and the research is surprisingly clear: play-money markets are less accurate than real-money markets, but not by as much as you would expect. Academic studies (including work by Tetlock's forecasting research group) show Manifold's aggregate accuracy is within 3-5 percentage points of Polymarket on overlapping questions. The reason: Manifold's user base self-selects for people who care about being right. Reputation, calibration scores, and leaderboard status serve as non-financial incentives that motivate careful thinking. Play money removes the financial barrier to entry, which means more people participate, which can partially compensate for weaker individual incentives.
Calibration measures whether your stated probabilities match reality. If you say 10 things each have a 70% chance of happening, a perfectly calibrated forecaster would be right on 7 of them. Manifold tracks this automatically across all your predictions and displays a calibration curve on your profile. Most people are overconfident -- they say 90% when they should say 75%. The calibration curve shows you exactly where your biases are. This matters beyond Manifold: the superforecasting research shows that calibration is a trainable skill, and people who practice it on platforms like Manifold make measurably better decisions in professional contexts.
Manifold's core community comes from the Effective Altruism and rationalist movements, supplemented by data scientists, political analysts, tech workers, and academics. The platform has roughly 50,000 monthly active users, which is small compared to Polymarket but concentrated in categories where these communities have expertise (AI, policy, technology, science). For mainstream political questions, Manifold prices track real-money markets closely. For niche questions (will a specific AI model pass a specific benchmark?), Manifold is often the only market available, and the specialist community produces surprisingly well-calibrated estimates.
Not directly. Mana cannot be converted to cash. You can donate mana to Manifold's charity partners, converting prediction skill into charitable impact. Some users have leveraged their Manifold track record to get jobs at forecasting consultancies, think tanks, and prediction-market companies -- a track record of accurate forecasting is a genuine career credential in certain fields. But if your primary goal is to make money from predictions, you need Kalshi, Polymarket, or PredictIt.
Manifold uses a modified Logarithmic Market Scoring Rule (LMSR), also known as Hanson's market maker. When you buy shares, the price moves along a mathematical curve that guarantees the market always has liquidity (you can always trade). The curve is parameterized by a liquidity constant that the market creator can adjust. Higher liquidity means prices move less per trade (more stable), while lower liquidity means prices are more responsive. Unlike Polymarket's order book (which requires human market makers to provide liquidity), Manifold's LMSR guarantees that every market has liquidity from the moment it is created.
The market creator resolves their own markets based on the criteria they specified at creation. If traders disagree with a resolution, they can flag it for community review. Manifold moderators can override clearly incorrect resolutions. The system works well for well-defined questions but breaks down for ambiguous ones. If someone creates a market "Will AI take over by 2025?" and resolves it as "Yes" because ChatGPT exists, traders who disagree can appeal. The community norm is to specify detailed, unambiguous resolution criteria upfront, and markets with vague criteria are generally avoided by experienced traders.
Metaculus is the other major platform for non-monetary forecasting, and the communities overlap significantly. Key differences: Metaculus uses a single continuous probability estimate (you submit a number, not a trade), while Manifold uses market mechanics (you buy and sell shares). Metaculus has stronger editorial control over questions and longer time horizons, while Manifold allows anyone to create markets on anything. Metaculus is better for long-range forecasting (Will X happen by 2030?), while Manifold is better for short-term, dynamic questions where prices need to update in real time. Most serious forecasters use both.
Yes, and several organizations have deployed Manifold internally. The use case is internal prediction markets: create markets on project timelines, hiring decisions, product launch outcomes, or quarterly targets, and let employees trade on them. The aggregate prices often outperform management estimates because they surface distributed information that does not flow up organizational hierarchies. The play-money format is actually an advantage here because it avoids the legal and compliance issues of employees trading real money on company outcomes.
Because Manifold uses play money, there is no financial loss if the platform shuts down -- your mana has no cash value. Your prediction history and calibration data would be lost, though. Manifold's open-source codebase means someone could theoretically fork the project and rebuild the platform, including historical data if it was exported. The risk is reputational, not financial: losing your track record of 1,000+ predictions and a 0.92 calibration score would be frustrating for serious forecasters who have invested time in building that record.
Three reasons. First, curiosity -- you want to know the crowd's probability estimate for something you care about. Second, content creation -- markets you create generate discussion and engagement on your profile. Third, mana incentives -- market creators earn mana when their markets attract traders. The "why" is really about the community culture: Manifold users enjoy the intellectual exercise of defining precise questions, arguing about probabilities in comments, and seeing how predictions play out. It is a community for people who enjoy being right and can tolerate being publicly wrong.

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Important Prediction Market Disclaimers

  • Prediction market contracts involve risk of loss. You can lose your entire stake on any contract. Past accuracy of market predictions does not guarantee future results.
  • Regulatory status of prediction markets varies by jurisdiction and is subject to change. Platforms that are legal today may face future regulatory action. Always verify current legal status in your state or country before trading.
  • Prediction market contracts are not traditional securities or futures contracts. SIPC and FDIC protections do not apply to prediction market balances unless explicitly stated by the platform.
  • Prices shown on prediction markets reflect crowd-sourced probabilities and should not be interpreted as financial advice, investment recommendations, or guaranteed outcomes.
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This page is informational, not financial or legal advice. Talk to a qualified professional before making any big money decisions.

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Last Updated
March 9, 2026
Fact-Checked
March 7, 2026