Sam Leisure

Early Engineer @dydx, built GoldLink & Quickscope
Beat Promised Consort Radahn w/o summons, Heolstor w/o friends & Lost Lace

[Sam Leisure @tweeterSam3]

@jonah_b Also to "prove" the companies are embracing AI to juice stock price. Then in 2028 they'll recorrect and massively re/overhire to curry goodwill with whoever is in office

[Sam Leisure @tweeterSam3]

So proud of these guys. The best social-trading mobile app just became the best web terminal

[fomo @fomo]

fomo web is live

same identity. same positions. now on the big screen.

the whole web is watching 🌎

[Sam Leisure @tweeterSam3]

I think you’re framing HIP4 too much through prediction markets volume. The bigger unlock is turning event-contingent payouts into usable collateral.

Perps handle continuous exposure well but completely fail at discrete events. HIP4 is the first step toward actually hedging those inside the same system.

The real opportunity is margin systems and structured products that incorporate these state-dependent assets. That’s where you get more capital efficiency and fundamentally different risk profiles.

Agree it’s not as immediate or obvious as HIP3, but longer-term it’s a bigger primitive.

[Sam Leisure @tweeterSam3]

@airtightfish Agree perps are commoditized, but that pushes competition upstream into the risk engine.

The winner isn’t just “the exchange,” it’s the one with the most capital-efficient margin system.

[Sam Leisure @tweeterSam3]

@burstingbagel The data is the hard part. You'd need a source of truth for protocol interconnectedness, collateral compositions, and oracle dependencies.

None of that exists in one clean place. The visualization itself is buildable quickly once you have it.

[Sam Leisure @tweeterSam3]

@thenarrator PMs already function like options, but they bundle outcome + volatility into the same instrument.

Traders are really trading changes in probability, not the outcome itself.

Non-binary resolution helps, but you still can’t isolate volatility cleanly.

[Sam Leisure @tweeterSam3]

@x256xx This is the obvious first trade, but the bigger unlock is using PM positions as collateral, not just legs.

Short-dated contracts become regime-change insurance, long-dated ones become expressive collateral.

It’s less about a new trade and more about redefining the margin pool.

[Sam Leisure @tweeterSam3]

@Scott_eth @Polymarket Weather options are already very common in TradFi. While you use agriculture as your example, it's actually utilities that hedge most often with them.

You list temperature (which is already done) but precipitation and other elements would be novel if liquidity (no pun) exists.

[Sam Leisure @tweeterSam3]

@paramonoww AFAIK you'll be able to use the same margin to buy PMs which already rolls discreet/eventscoped markets into a continuous environment. Netting risk will be very hard but if done correctly will be game changing! I actually wrote about this last week: https://t.co/jWkgwtSJDN

[Sam Leisure @tweeterSam3]

https://t.co/glNYMNmvCF

[Sam Leisure @tweeterSam3]

Binary markets are fundamentally gappy.

If I’m hedging inflation exposure and the market is >3.5%, I either:
- over-hedge
- under-hedge
- or try to stitch together multiple thresholds with fragmented liquidity

None of that maps cleanly to how risk actually shows up but a continuous distribution fixes that.

Instead of hedging a threshold, you hedge shape:
- where you think outcomes cluster
- how fat the tails are
- how wrong you can be and still be partially right

That’s much closer to how options surfaces work and why they’re actually most usable for risk management.

It also makes PMs composable in a way binaries aren’t.

If you have:
1. a distribution over inflation
2. positions elsewhere (rates, perps, commodities)

you can start doing proper cross-asset hedging, not just directional bets.

[Sam Leisure @tweeterSam3]

@walkviruss Lunarcrush is a good analogy for the social signal layer. The difference is terminals have execution tied to those signals, not just observation. That coupling is what makes the data more valuable and harder to replicate.

[Sam Leisure @tweeterSam3]

https://t.co/T70wR68JqP

[Sam Leisure @tweeterSam3]

That makes sense! One thing that feels interesting is how these structured products can tie the markets together rather than just sit on top of them.

For example, you could run something like a basis trade with event-based insurance attached, where the outcome market is actually hedging a specific risk in the perp position.

That kind of structure improves both sides: it makes perps more usable because risk can be hedged more precisely, and it gives prediction markets real utility beyond just directional bets.

Once that starts to happen, the moat isn’t just the risk engine in isolation, but the feedback loop between products. It becomes harder for a perp exchange or a standalone PM to compete, since they’d only be capturing one side of that system.

I wrote this piece last week exploring: https://t.co/0M93w0XOTW

[Sam Leisure @tweeterSam3]

@walkviruss Appreciate it! My primary argument is how some of these terminals are sitting on gold and can transition their business models. A true alpha terminal would definitely be sick!

[Sam Leisure @tweeterSam3]

@MaqQkS However, if the business model ends up becoming enterprise contracts - the team will have to work with the customers to build specific simulations from the generic "training-gym"

[Sam Leisure @tweeterSam3]

@MaqQkS Initially, it has to be the team that built these terminals. They understand the behavior pattern from first-hand exposure.

[Sam Leisure @tweeterSam3]

@defi_ant_degen I was never approached. I don't think so which is so interesting because brand new teams are raising >5M to build from the ground up.

[Sam Leisure @tweeterSam3]

Memecoin terminals largely aren’t interesting as trading products anymore.

They’re interesting as training environments.

The data they captured isn’t just transactions. it’s how people behave in adversarial markets.

That’s a different asset:

[Sam Leisure @tweeterSam3]

https://t.co/T70wR68JqP