Emre ⚡ Profile picture
Jun 8, 2022 19 tweets 12 min read Read on X
1/ DAO governance activity is exploding 💥. In the last year, we have seen:

• 8.8x in # of DAOs
• 8.5x in # of proposals
• 8.3x in # of votes

🧵 Here are 10+ key insights from @SnapshotLabs data on DAO governance
2/ DAOs have grown more than 8x in the past year, from 700 to 6000+ (excl. DAOs w/o proposals).

How long did it take to get here?
-0->1k: 1 year
-1k->2k: 3 months
-2k->4k: 2 months
-4k->6k: 6 months

Slowing but still impressive! What caused that spike on Nov '21 tho? Hint: 📜
3/ @ConstitutionDAO was a pivotal moment for DAOs and the data shows it.

We have over 2x new proposals since then!

It also inspired new governooors, with similar DAOs forming like @LinksDAO & @KrauseHouseDAO. Would ❤️ some momentum for an EPL DA⚽️.

4/ This growth in proposal activity does come with a caveat; it's driven by a select few...

➡️ Over 65% of all proposals are from just 10% of DAOs.

A large % are still figuring things out, with 60% of them having voted on 3 proposals or less.
5/ Proposals are only one side of DAO governance. What does member participation look like (i.e. voting)?

That's up 8.3x! 🚀

- May 2021 -> May 2022: 448k -> 3.7M votes

Monthly votes are down from peak @ConstitutionDAO levels (Nov21), but still impressive growth.
6/ What about individual voters, what does their activity look like in DAOs?

Unfortunately:
- 50% of users have voted just once
- 75% of users have voted for just 1 DAO

However, take this with a grain of salt. It's likely that many users vote with diff wallets for diff DAOs.
7/ A more reasonable approach is to analyze recurring votes by the same wallet for a DAO (i.e 1 wallet used per user per DAO).

Unfortunately, the results there are similar:
- 55% of wallets vote just once for a DAO

Finding loyal & active community members is hard!
8/ Although most wallets vote just once per DAO, some DAOs have extremely loyal/fanatic voters.

- Certain DAOs average over 10 votes per member 🤯

shoutout to @bancor @aavegotchi @airswap @dcip_finance, @wallstreetchads @HoneyDAO_
9/ One cool observation from voter analysis is the rise of a few early superstar 'governooors'. The top 5 users have 2000+ votes in a single DAO 😵

(if any of you rockstars read this, dm plz, would love to chat)
10/ On a different note, @optimismPBC recently removed a proposal by @cobie. Although there were no bad intentions and they re-listed it, it brings up the question:

- How decentralized is DAO governance? 🤔

What's the point if it's a C(entralized)AO?
11/ One way to measure how decentralized DAO governance is, is thru the Gini coef.

Gini is a measure of income equality but can also be applied to DAO voting, where:

1 = very centralized
0 = very decentralized
12/ For simplicity, let's only consider those that voted on an issue. I.e. Measure the skewness in power of actual votes per proposal. For example:

User: Voting Power
Alice: 1
Bob: 1
Carol: 10

Proposal Gini:
- If only A votes -> 1
- If A & B vote -> 0
13/ Turns out, most DAO proposals are heavily skewed toward a few powerful voters.

Specifically;
➡️ ~25% of proposals are >= 0.8 Gini

That is, unfortunately, quite high 😬
14/ There is hope though! DAO governance does seem to be going in the right direction and becoming more decentralized (albeit slowly).

➡️ A decrease of ~23% over the past year in avg Gini coeff (0.81->0.62)
15/ What about proposal outcomes? Does everyone in a DAO just vote the same? Mostly, yes, but not always!

~1000 proposals won with less than 60% majority ⚖️

The highest-profile debate was for @Wonderland_fi. Of course, @0xSifu is in the mix too!
16/ I do think healthy debate is vital in any governance system🤝

With that, wanted to highlight some DAOs with a lot of it. Here are the top 10:

@Wonderland_fi @doodles @grayboysdao @proofofhumanity @The_OpenDAO
17/ ...and that's a wrap! Recap:

➡️ # of DAOs w/ governance is growing (8x past year)
➡️ Large % proposals created by small % of DAOs
➡️ Voter activity up significantly over the past year
➡️ Recurring voters are hard to find
➡️ Voting power relatively centralized but improving
18/ Huge thanks to @SnapshotLabs!

Also a big thank you to @eherrerosj, @mariashen, @mitchelljhammer, @puntium & @sanjaypshah for all your help and feedback.
19/ Did you find this thread useful?

If so, help me out by:

→ giving me a follow at @n4motto for more data tweets on DAOs and all things Web3!

→ Going back up to the top and hitting that retweet button!

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More from @n4motto

Apr 19, 2023
1/ To match the pace of crypto, we're excited to launch monthly updates to developerreport.com 🚀

Crypto has evolved a lot since @ElectricCapital's 1st report 4y ago
• Devs have 2x'ed
• Repos have 6x'ed

@eherrerosj & I dig into Q1's insights (it has been hard on devs)👇
2/ First some high level stats.

We currently have:
- 21.5k devs (~7K Full-Time)

In Q1 2023, we've gained:
- 8.7k new repos
- 9.3k new devs

This is lower than last few quarters... but why? Can't say for certain, but we can provide some context.
3/ Seasonality 🔄

Crypto is highly cyclical & this is reflected in dev metrics. Seasonal Jan dips tend to be proportional to market size, stage & run-up. '23 Q1's dip follows this trend.

Jan dips for Full-Time devs:
• 2019: ~10% (post '18 peak)
• 2023: ~20% (post '21/2 peak) Image
Read 11 tweets
Mar 29, 2023
1/ To survive crypto, you need to grok CT. I analyzed 100M tweets to separate the signal from the noise.

• Popular topics
• Key players
• Emerging trends

Here are WHO and WHAT matters on CT 👇
2/ First & foremost:

Engagement & conversation is still real, despite the market downturn. Crypto Twitter is still strong!

2023 Q1 has seen:
~2M replies
~150k QT
~500k tweets
3/ What is CT talking about?

One way to explore is with keyword trends. Example:

"gm"

With over ~1.75M gm's tweets, CT culture is strong as ever

Fun fact: over 80% of users have tweeted out "gm" at least once 🫡
Read 15 tweets
Aug 3, 2022
1/ Over 44 MILLION contracts have been deployed to @ethereum since genesis 🤯

I analyzed all 44M using @InsightsFlow so you don’t have to.

Turns out, 70% of live contracts (~15M) are copies from one of 15 templates.

🧵 Here’s a breakdown of the dominant contract codes Image
2/ Destroyed contracts 💀

🏷️ ~50% of ALL contracts (~22M)

More 'anti-code' than code, but what does this mean? It means 'self-destruct' was called on the contract, removing all bytecode.

Why?
My guess is gas is to save gas ⛽ (see below)
3/ Gas Token contracts

🏷️ ~10% of live contracts (~2M)

To disincentivize state bloat, EVM refunds gas to a user for destroying a contract. This resulted in users deploying empty contracts when gas prices were low & destroying when high, for a quick refund 🎰.

h/t @n2ckchong
Read 10 tweets

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