Catalla

Bet your views. Beat insiders & oracle manipulation. Max gains, cut losses.
There are no facts,only interpretations.

[Catalla @catallaxyz]

For a startup team, more resources are always better. Sometimes it’s not us who have the power to choose, but the investors and foundations.

[italo @italoacasas]

if you’re a founder in the solana ecosystem, don’t confuse things. the solana foundation backing you is not even remotely as important as having a great group of investors behind you. it’s not even close, ignore the noise.

[Catalla @catallaxyz]

@mattytay @solana @toly Long-term success is the accumulation of continuous short-term successes.

[Catalla @catallaxyz]

Catalla is a self-resolving prediction market for unverifiable outcomes. We remove the oracle entirely — eliminating insider trading and oracle manipulation.
Inspired by Harvard research, we ship two mechanisms: random settlement via Switchboard VRF, and information-increment profit through price discovery. We also replaced the paper's AMM with a CLOB — tighter spreads, real liquidity, production-grade infrastructure.
Unlike Polymarket, Catalla doesn't need an oracle. We settle on market consensus. When Polymarket's outcome conflicts with consensus, Catalla still pays consensus — making us a perfect hedge.
Take the Zelensky-suit dispute. Polymarket falls back to UMA voting, which whales can manipulate. Catalla settles at the last trade price — say 80% YES, 20% NO — and YES plus NO always equals one. Both sides redeem at consensus. Users profit from price movement, not from waiting for an oracle.
Users are profit-driven. Creating markets, triggering termination, and trading itself all earn fee shares — driving deep, organic liquidity.

[Catalla @catallaxyz]

If you're tired of insider manipulation and oracle manipulation on Polymarket, come check out Catalla.
https://t.co/5CoypszrI4

[Josip Volarević @JosipVolarevic2]

https://t.co/GmXzsjBv8s

[Catalla @catallaxyz]

What's Catalla？
https://t.co/5CoypszrI4

[Catalla @catallaxyz]

Check out Quinn (QUINN) on https://t.co/Y49izQhoym https://t.co/7L95I1beUC

[Catalla @catallaxyz]

I'm building in the Solana Frontier Hackathon, powered by @Colosseum!

https://t.co/2MpkbygIlh

[Catalla @catallaxyz]

@BitBenderBrink @mxztplk 🤣

[Catalla @catallaxyz]

@TeslaSynopsis No, we should go to Uranus

[Catalla @catallaxyz]

@Diesol @runwayml so cool

[Catalla @catallaxyz]

@jessepollak If you just need a rendering, you can draw a sketch manually and then import it into some AI tools to generate a rendering. If you need a detailed model, it is recommended to use blender.

[Martin Nebelong @MartinNebelong]

Here's a look behind the scenes of how I used a 3d model, generated from an image, as a "driver" for ai animation. In the near future we'll see more 3d tools that support these types of workflows, with much more emphasis on enhancing user input instead of just letting the ai do everything.

I used the 3d model to generate keyframes that I then animated in Luma Dream. By using a 3d model with a diffusion "layer" done with Krea, I got quite high quality frames with a relatively high consistency as well since the AI didn't have to "hallucinate" that much. I upscaled and detailed the frames using Magnific.

Using semi-detailed 3d models as drivers for gen ai is very powerful, and it allows us to use models that are sculpted in a more free-flowing type of workflow that doesn't rely so much on high surface detailing or very time-consuming finish, but instead relies more on gestural 3d sculpting.

#art #ai

[Catalla @catallaxyz]

@elonmusk so,everyone is a node？

[Catalla @catallaxyz]

@AdrianDittmann Because it is safe

[Catalla @catallaxyz]

@cb_doge Or maybe we live in a giant capital market and we are just mining machine

[Catalla @catallaxyz]

@worldnetwork we're mining machine

[Catalla @catallaxyz]

what is mining machine? #Crypto #BTC #Mining

[Catalla @catallaxyz]

@elonmusk

[Catalla @catallaxyz]

@elonmusk We need a 'normal person' for president in 2024