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Aug 12 19 tweets 5 min read Read on X
Put together a complete overview of the prediction markets space as many new teams are building in the vertical.

A quick summary on prediction market categories, their GTM strategies, product updates, some numbers, mechanism explanations, and where we are headed: Image
There are broadly two methods of GTM: nonsports and sports. The former is a relatively unexplored space, with several areas to target: crypto, politics, cultural events

Polymarket is the clear nonsports leader, with its GTM mainly focused on political events. Image
when comparing overall YTD volumes including sports, Azuro and SX Network are much closer to Polymarket. Image
A few competitor projects are already live, including @LimitlessExchange on EVM where some markets are offered in ETH, and @HedgehogMarkets on SOL, which has pooled bets ($$ first, odds later).

pipeline also includes @DriftExchange, @xMarkets, @InertiaSocial, @Doxa, @Contro. Image
Two common themes that newcomers are working on:

1. permissionless markets – open market creation and incentives layer
2. resolution – relying on AI for market settlement, or creating a more efficient system

Polymarket users have repeatedly requested these themes.
The sports category has proven traction in Web2 given its popularity and event regularity

It's hard to get users to convert to crypto, as most users value brand and UX. Web2 sportsbooks also have unlimited marketing dollars; at least 5 sportsbooks spend $100M+ per year.
Americans bet 10x more money on a single Super Bowl (~$23B) than the all-time crypto PM volume (~$2B). Even single States widely surpass the $2B figure.

Thesis: more money onchain = more sports betting onchain, just like how the internet bookies took over with phones Image
One of the limiting factors of PMs is the absence of lev. On the nonsports side, @LogX_trade will allow perps on TRUMP, similar to FTX in 2020. @doxamarket is also working on lev.

The counterparty for both projs is pooled liquidity. Liquidations and bad debt remain open q's.
It would be interesting to see Polymarket explore multi-leg markets (parlays) more. Technically, the market “Trump and Biden to win Nomination” is a levered bet because it relies on guessing two separate events correctly.
I would love to see markets such as “will a, b, c, and d happen”

I don’t think initial liquidity would be a problem either, LPs love farming their daily rewards!
On the sports side, several protocols already allow for leverage through something called parlays, where payouts only occur if users correctly guess multiple non-correlated events. SX Bet, Azuro, and Overtime support this already.
there are broadly two types of PM mechanisms, web2.5 and and web3.

web2.5 = crypto is used as a payment rail, e.g. Stake/Rollbit. Users can bet with crypto but the counterparty is the team behind the application, and the product is not interacting directly with onchain.
web3 PMs have some sort of onchain footprint, whether it is positions as NFTs, or bets executed through smart contracts.

There are typically two ways to match bets onchain, either AMMs which rely on passive LPs, or orderbooks where the platform purely acts as the exchange. Image
in web3, memecoins have become PMs themselves, $TRUMP and $BODEN are examples of holders getting upside on smth being:

1) directionally correct and
2) an attention accruer

memecoins allow you to speculate on other people’s speculative behavior, regardless if you’re right/wrong
a new protocol called @swaye_co tries to combine the best properties of PMs and memecoins

users who are early to a market are not only betting on a particular outcome but have an incentive to accrue attention because betting activity on either side helps increase PnL Image
zooming out, there are several ways to make money as a protocol:

- trading fees
- A portion of trader winnings (web2 models follow this path)
- Accrue counterparty PnL (web2 loves serving losing customers)

Most protocols either do 1 or 3. Polymarket takes no fees.
What’s next? AI agents are the next big user in the space, as they can react quickly to news. They will manage orders, inventory, and place bets. They can also calculate expected values of outcomes and take calculated risks. A couple of teams are working on this in stealth.
at some point in the next few years, there will be at least 1 protocol that competes head-to-head with Polymarket’s volumes.

Given how much Polymarket is incentivizing its markets at the moment, heavy use of incentives e.g. points, tokens, or USDC, will likely be needed.
Everyone asks how sustainable the volume will be after the election, and thus far, non-election volume on Polymarket has been uponly since the beginning of the year.

If you’re building in the space, would love to chat! Image

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More from @Mikey0x_

Jul 30
Some quick thoughts on how Polymarket LP rewards work, how much they're spending, and how sustainable it is:

tldr; Polymarket pays USDC to those who provide limit orders (liquidity) near mid-book. The closer to mid, the higher the reward. Double-sided LPs get more rewards.
These rewards are time/dollar-weighted, and rewards for any given market are paid out daily. The most popular markets receive 600 USDC per day in rewards (e.g. Trump to win the Presidency), while the less popular ones receive as little as 5 USDC.
On the Trump market with 600 USDC in daily rewards, there's an average of ~$200-$300K constant liquidity within eligible ticks, which equates to ~40-150% APRs depending on if you're on both sides of midbook.

If someone takes your liquidity, you no longer earn rewards.
Read 13 tweets
Apr 26, 2023
1/ The IP landscape is dominated by brands such as Pokémon while new entrants struggle to gain market share due to high initial costs, time to bootstrap, and limited distribution.

Crypto disrupts the IP market by being open, efficient, and accessible.

mirror.xyz/1kx.eth/YONQvS…
2/ Currently, new popular IP hits take a top-down approach by producing expensive content - it takes:

- 100s of employees and $80M+ to build an AAA video game
- Millions to produce a 12-episode anime series
- $50M+ to produce an HQ movie

The barrier-to-entry is extremely high.
3/ In crypto, PFPs allow brands to take a bottoms-up approach by launching initial lore cheaply, and building the community, in a very short time frame.

These short periods of resource-light experimentation allow for faster PMF and iteration, with less sunk costs.
Read 12 tweets
Mar 13, 2023
1/ A quick summary and timeline thread on how various stablecoins performed this weekend:

The entire stablecoin market began to experience significant volatility when Circle announced that SVB was one of the six banking partners that collectively managed ~25% of USDC's reserves.
2/ Within 8 hrs of Circle's tweet, USDC fell to ~$0.88, which is below the max possible impact if all funds in SVB were written off to 0 (1 USDC = $0.92). Smart money started buying.

FRAX & DAI have 92% & 48% exposure to Circle respectively. Both were highly correlated to USDC.
3/ Other stablecoins had smaller dips during peak FOMO;

LUSD
USDP
USDD

All have essentially 0% exposure to Circle. Most notably, USDD fell to around ~$0.93. USDD is collateralized by TRX (~72% of collateral) and BTC.
Read 7 tweets
Nov 22, 2022
1/ DeFi has become increasingly complex as there are now over 2,000+ protocols and endless designs.

I summarized:
- the definitions of major principal & yield categories and respective differences
- Examples for each category

mikey-0x.medium.com/crypto-yield-s…

+ some more thoughts 👇
2/ DeFi has 8 major use cases:
- liquidity
- swapping
- directional trading
- borrowing & leverage trading
- yield farming
- staking
- depositing capital
- storage

In order to serve these use cases, capital + infra + services are needed, and in return suppliers earn a yield.
3/ There are general two types of principal tokens:

a) Price-stable principal: stablecoins such as USDC and DAI

b) Price-fluctuating principal: all non-stablecoins that contain price risk. Sub-categories include layer 1, DeFi application, middleware, governance, meme tokens
Read 11 tweets
Oct 20, 2022
A few weeks ago, @Darrenlautf conducted a crypto fund compensation survey that received 116 people anonymous responses.

A 🧵 on analyst compensation data including base salary, bonus and carry figures, influencing variables, as well as stats about the crypto fund space:
Most respondents work for a crypto venture fund, some work a fund that does venture and liquid, while few work for a pure liquid-style hedge fund. Image
Crypto funds like to stay lean, as 75/116 of respondents work for teams of 10 or less. Image
Read 13 tweets
Sep 27, 2022
The DeFi lending landscape has changed drastically in the past few months and it feels timely to provide an update.

A 🧵 on new protocols, stats on who's winning and where, and general trends that will shape lending in the next cycle:
New lending protocols:

1) & 2) @dammfinance & @ribbonfinance are under-collateralized variable rate lending protocols. They're similar in nature to @aaveaave's pooled model, where depositing and lending is frictionless.

dAMM currently serves 23 assets, Ribbon to launch soon.
3) @lulo_finance is an on-chain P2P orderbook with fixed rate & period lending. Complexity can be easily be abstracted away through the backend

Much like Morpho, Lulo closes the lender/borrower spread traditionally seen in pool-based models and matches counter-parties directly
Read 17 tweets

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