HomeFinanceBillion Launches the First Live-Streaming Frontend for Prediction Markets

Billion Launches the First Live-Streaming Frontend for Prediction Markets

Singapore, April 6, 2026 Mintfunnel, a Coinbound Company / April 2026 Billion, a new mobile first social trading platform, is now live as a Polymarket builder connecting live streaming content creators directly to prediction market trading for the first time.

The mobile native social trading app lets users watch creators analyze real world events, then place prediction market trades with a single tap, turning every livestream into a trading floor.

Prediction markets crossed $20 billion in monthly volume earlier this year. Polymarket alone has processed over $450 million on 2026 FIFA World Cup markets. Yet the user experience remains stuck in a trading terminal paradigm: charts, order books, and interfaces built for people who already know what they want to trade. The discovery layer, the part where someone hears a compelling take and decides to act on it, barely exists.

Billion is designed around that missing layer.

How It Works

Users open the app and see two things: live streams and content cards.

Live Streaming With Embedded Trading

Creators broadcast their predictions and analysis in real time, breaking down why they think Argentina will beat France, or why a particular geopolitical outcome is mispriced. Viewers watch, discuss, and when they are convinced, tap once to mirror the creator’s position on Polymarket. The trade executes without leaving the stream.

Content Cards With One Tap Trading

The app’s feed surfaces short form prediction cards, a creator’s take on a market, with their position, conviction level, and verified P&L track record attached. Every card has a trade button that routes directly to the Polymarket order book. It is a social feed where every post is actionable.

The entire experience is mobile native. Polymarket’s web interface works, but it was not built for the phone first user who discovers markets through content rather than search. Billion wraps Polymarket’s liquidity in an interface optimized for that behavior: scroll, watch, trade.

Verified Track Records, Not Cheap Talk

A core problem with trading content today is that anyone can claim to be an expert. Billion makes prediction skill verifiable.

Every creator’s P&L, win rate, and ROI on settled predictions are tracked and displayed publicly. Users do not have to take a creator’s word for it, they can see the receipts before deciding to follow a trade.

Creators, in turn, earn real income from their accuracy. Billion shares up to 60% of trading fees with creators based on the volume their content generates. The better their predictions, the more followers trust them, the more volume flows through their content, and the more they earn.

It is a model where skill compounds, and where creators no longer need to rely on sponsored posts or paid Discord groups to monetize their expertise.

Why Prediction Markets Need a Social Layer

The prediction market industry has both a supply problem and a demand problem.

On the supply side, Polymarket and other platforms have built deep liquidity and reliable settlement. The infrastructure works.

On the demand side, most people still do not know prediction markets exist, and those who do often find the experience intimidating. There is no discovery mechanism, no social proof, and no way to learn by watching someone else trade. Users either already know what they are doing, or they do not participate.

Billion sits between these two layers. It does not compete with Polymarket, it routes trades directly to Polymarket’s order book as a builder. What it adds is distribution: a way for prediction markets to reach users through content they are already consuming, analyzed by creators whose track records are publicly verified.

“The biggest unlock for prediction markets is not a better order book. It is giving people a reason to open the app,” said the Billion team. “A creator going live before a World Cup match, breaking down the odds in real time, with one tap follow trading, that is the reason.”

Timed for the World Cup

Billion’s public beta coincides with the 2026 FIFA World Cup, the most watched sporting event in history, with an estimated 5.8 billion global viewers across 104 matches over 39 days.

The platform is launching a World Cup campaign built on its leaderboard system, including:

  • Creator led match analysis streams
  • Daily prediction competitions
  • A dedicated World Cup P&L leaderboard tracking forecasting accuracy across tournament markets
  • Live in app events tied to match outcomes

With Polymarket already hosting 122 plus active World Cup markets and more than $450 million in volume, the liquidity is in place. Billion’s thesis is that a live streaming social layer will bring the audience.

What’s Next

Billion is preparing for its S0 Beta launch with a points based growth program, releasing 100 million points over eight weeks.

The platform plans to onboard 50 plus active creators across:

  • Sports analysis
  • Crypto trading
  • Geopolitical commentary

This will build a content library that gives users a reason to open the app before, during, and after every major event.

The World Cup is the starting line, not the finish. Elections, geopolitical shifts, central bank decisions, and crypto catalysts all represent opportunities for creators to go live and audiences to trade.

Billion is building the infrastructure to make that loop as seamless as possible.

About Billion

Billion is the live streaming social trading frontend for prediction markets. As a Polymarket builder, it combines creator driven content with one tap trading, making on chain prediction markets accessible to anyone with a smartphone and an opinion.

Website: billion.live
Download: iOS | Google Play


Disclaimer: This is a sponsored press release for informational purposes only. It does not reflect the views of Times Tabloid, nor is it intended to be used as legal, tax, investment, or financial advice. Times Tabloid is not responsible for any financial losses.

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