Two most compelling designs for permissionless prediction markets. Scale markets via memes and machines.
Akin to token creation, prediction markets need to be permissionless and 2 new contenders are leading the charge.
It's one of the biggest IRL adoptions of this cycle, yet most markets need to be reviewed through a centralized entity.
It's like implementing a whitelist and review model on every coin created, clearly impacting the growth and spread of the product.
Prediction markets truly show that aggregating collective intelligence to forecast real-world events has remarkable accuracy, such as the US presidential elections compared to traditional polls.
As a user myself of Polymarket, I remain disappointed about the centralization for manual market creation, subjective resolution processes, and significant gatekeeping. Users can't freely create markets, rules are written by humans (introducing bias and delays akin to Zelensky's suit), and the resolution process relies on centralized decision-making, mainly handled by whales (Uma). This creates bottlenecks, limits innovation, and ultimately constrains the market's potential.
While reading @Defi0xJeff's report on prediction markets and following the teams building at @fluentxyz through the incubator @BlendedBldrs, we can see two emerging projects clearly leading this new sector:
- @meleemarkets on the degen side where you can open any markets on Solana and bet on the outcome (similar to pump fun). Unfortunately not much infos have been revealed yet.
- @BuzzingApp using a similar model while diverging from the order book model that Polymarket uses and instead employs a master vault similar to Hyperliquid's HLP to allocate liquidity to any market and allow users to open markets permissionlessly.
Powered by AI at every layer, rather than manually crafting market rules (a major pain point), you can simply type a headline and the dedicated AI agent Buzzy will automatically:
- Searches credible sources and scores their quality
- Generates clear, unambiguous market rules
- Handles pricing and provides decision support
- Deduplicates and merges overlapping markets
- Powers AI-first resolution with human dispute fallbacks
cf minute 27:00 on this broadcast
To me, this is a much better way to onboard users and increase market share as people will be able to bet and list their ideas much faster. Especially when market creators earn 25% of all the pool fees, which is quite juicy if the market gets a lot of traction.
You got it, it's very similar to the system to reward token creators who helped the platform gain so much attention and trading volume over the past months.
For the resolution buzzing implements weighted trust across sources with real consequences; bad actors get "reputation" slashed. Disputes escalate to a decentralized layer using social-reputation signals, moving beyond the flawed token-weight models that have been problematic.
Most importantly, every piece of data is verifiable through zkTLS, every data fetch from sources like NYT, CNBC, Bloomberg, and every LLM call is cryptographically verified end-to-end.
I'd recommend this great interview if you want to know more about Buzzing and permissionless prediction markets:
Another win for Fluent as Buzzing represents another major addition to the innovative ecosystem backed by the @BlendedBldrs group and truly tackles some of the market issues.
Buzzing is in alpha version at the moment, and I assume they will soon open on the Fluent public testnet to gather more feedback from users which is a good way to stay close to this new prediction market contender 🥂

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