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0xngmi ✓

@0xngmi · joined 20 Mar 2021

Building a transparent defi dashboard at @defillama. Would rather be right than make money

194 954Followers
326Following
30 018Posts total
608.6KViews on collected posts

Latest posts

Why track this? We started by tracking orderbook liquidity, but realized that due to mechanisms such as speed preferences, in many cases orders wouldnt execute as expected, as MMs would pull liq right before So we set out to track the real liquidity 10.9K views · 94 likes · 2 reposts · 8 replies Open on X →
@0xngmi Kraken 💀💀💀 390 views · 8 likes · 0 reposts · 0 replies Open on X →
We just created a new metric for exchanges: realized perp slippage 1. We take a snapshot of the orderbook right before market orders execute 2. Calculate the slippage at which it should fill ($0.94 on Binance) 3. Compare against actual slippage on the fill (actually $1.63) https
159.8K views · 887 likes · 65 reposts · 89 replies Open on X →
Which exchanges have your tokens? Which work in your country? What are the fees? New on DefiLlama: Find My Exchange 50+ exchanges compared on costs, slippage, liquidity & volume. Advanced filters, token finder, and detailed per-exchange pages. https://t.co/wPocGdqIi2 https://t.
0:31
117.6K views · 147 likes · 17 reposts · 18 replies Open on X →
The number of defi protocols distributing money to holders via dividends or buybacks has been going up only https://t.co/JwgMFOMMfF 52.1K views · 452 likes · 30 reposts · 58 replies Open on X →
Created a 1:1 meeting called “discussion” cause I didn’t want to bother coming up with a name for a minor meeting, and the other person thought he was about to get fired 😭 32.2K views · 328 likes · 0 reposts · 47 replies Open on X →
Was picking a place for lunch with someone else, I showed up to the restaurant and asked front desk to go in to check noise levels and they looked at me like I’m crazy How is a llama supposed to find noise levels? Llama just doing my due diligence 17.9K views · 157 likes · 2 reposts · 29 replies Open on X →
@0xngmi Interesting method! 1.5K views · 25 likes · 0 reposts · 0 replies Open on X →
@0xngmi bruh crazy you had to send a proof of drain lmao 1.3K views · 18 likes · 0 reposts · 0 replies Open on X →
Was wondering if HL is taking users from cexs like: 1. Binance user wants to trade rwa 2. Joins HL for RWA 3. Eventually moves all its crypto trading to HL It’s not really happening, 80.9% of users who’s first trade was RWA stick to it and never trade crypto markets, only rwa 51.5K views · 319 likes · 14 reposts · 39 replies Open on X →
@0xngmi Out of curiosity, how did the draining work? Did the app just ask you to input your seed? 6.5K views · 20 likes · 0 reposts · 1 replies Open on X →
We had been trying to take down a fake DefiLlama app on apple’s store for months, telling Apple about trademark violations, impersonation… Then we loaded a small wallet, downloaded the app, got drained as expected and reported it to Apple. App was taken down in days after that 105.7K views · 1.1K likes · 51 reposts · 71 replies Open on X →
A few weeks ago, we asked whether @HyperliquidX's HIP-3 could bring in new RWA traders. The answer was yes: 169K wallets, 31.7% of new Hyperliquid users between January and June '26, made their first trade on an RWA market. But did they stick around? https://t.co/BhQaENPKtp 51.3K views · 63 likes · 5 reposts · 2 replies Open on X →

Against accounts of the same size

13 posts from the last 90 days, next to the 100K–1M follower range. shown to more people than peers of the same size.

Median views32 166this account5 983median for 100K–1M
Reach, %16.50%this account1.49%median for 100K–1M
Engagement, %1.06%this account0.93%median for 100K–1M
MetricThis accountMedian for 100K–1MRatio
Median views per post32 1665 9835.38×
Reach (views ÷ followers)16.50%1.49%11.1×
Engagement rate1.06%0.93%1.14×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

51.3K13 Aug
105.7K15 Aug
6.5K
51.5K
1.3K
1.5K
17.9K
32.2K18 Aug
52.1K28 Aug
117.6K16 Sep
159.8K
390
10.9K

Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.14%13 Aug
1.20%15 Aug
0.32%
0.73%
1.39%
1.64%
1.07%
1.17%18 Aug
1.06%28 Aug
0.16%16 Sep
0.67%
2.05%
0.98%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes76.9%3 653 in total
Reposts3.9%186 in total
Replies7.6%362 in total
Quotes1.5%73 in total
Bookmarks10.1%478 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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