Hands-On Guide to Participating in CZ-Supported predict.fun

Odaily星球日报Опубліковано о 2025-12-19Востаннє оновлено о 2025-12-19

Анотація

Odaily Planet Daily introduces predict.fun, a prediction market platform founded by dingaling, a former Binance employee, and backed by CZ and YZi Labs. Launched on December 17, the platform airdropped initial points to eligible users, including BNB Chain meme traders and Aster participants. Unlike traditional prediction markets like Polymarket, predict.fun allows users to earn additional yield on funds used for predictions. The step-by-step guide includes: registering on the website, checking airdrop eligibility by wallet address, depositing at least $10 to unlock a referral link, sharing the invite on Twitter, verifying the tweet, and trading to unlock points (e.g., $500 trading volume for 200 points). Only event betting counts toward trading volume. The platform emphasizes user engagement and integrated yield generation.

Original | Odaily Planet Daily (@OdailyChina)

Author | Asher (@Asher_ 0210)

On December 17, dingaling, the founder of the prediction market platform predict.fun, announced on X that the platform is officially open and has airdropped initial points to Meme traders on BNB Chain, Aster participants, and active users of various prediction markets.

Unlike traditional prediction markets such as Polymarket and Kalshi, predict.fun has introduced a key innovation: funds used for predictions are no longer idle but can simultaneously generate additional returns during the prediction period.

It is worth mentioning that on December 4, Binance founder CZ posted on X, stating that the founder of predict.fun had worked at Binance several years ago and that the project was incubated by YZi Labs and received "investment" (for more details, read: CZ Reconciles and Joins Forces, dingaling Returns to the Prediction Trend with predict.fun).

Next, Odaily Planet Daily will guide you step-by-step through the interactive experience of participating in predict.fun.

Step-by-Step Participation Tutorial

STEP 1. After logging into the project’s official website (link: https://predict.fun/), first-time users should click "Sign Up" to register and log in.

STEP 2. Click on "Airdrop" at the top to check airdrop eligibility: on the page, click "Check Wallet Eligibility" and enter your wallet address to view (as shown in the prompt below, indicating eligibility).

STEP 3. If eligible, click on "Deposit" at the top to deposit at least $10 into the platform and unlock your personal referral link.

STEP 4. Click "Tweet" in step 3 to share the referral tweet. The system will automatically generate a personal referral tweet, or you can edit the content yourself.

STEP 5. Fill in the link to the published referral tweet and click "Verify Tweet" to complete verification.

STEP 6. Unlock personal points by trading on the platform. As shown in the image, the account needs to complete $500 in trading volume to unlock 200 points. Note that only event-based bets count as valid trades.

Трендові криптовалюти

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Пов'язані питання

QWhat is the key innovation of predict.fun compared to traditional prediction markets like Polymarket and Kalshi?

Apredict.fun allows users' funds to generate additional yields during the prediction period, unlike traditional platforms where funds remain idle.

QWho is the official launch of predict.fun announced by on X platform?

AThe official launch was announced by predict.fun's founder, dingaling, on the X platform.

QWhat is the minimum deposit required to unlock a personal referral link on predict.fun?

AA minimum deposit of at least $10 is required to unlock the personal referral link.

QWhich user groups received the initial airdrop of points from predict.fun?

AThe initial points airdrop was distributed to Meme traders on BNB Chain, Aster participants, and active users of various prediction markets.

QWhat is the relationship between CZ and predict.fun's founder as mentioned in the article?

ACZ mentioned that predict.fun's founder previously worked at Binance several years ago, and the project is incubated and invested in by YZi Labs.

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