FlexEdition

@1faith_crypto @opensea Waiting airdrop 👍👍👍👍👍👍

OpenSea $SEA Airdrop Math 🧮 Chest farming ROI breakdown by waves. One researcher calculated the total fees paid by users in each OpenSea wave. Fees by wave: • Wave 1 — $33.1M • Wave 2 — $7.06M • Wave 3 — $3.28M • Wave 4 — $1.65M • Wave 5 — $3.01M Using a conservative $500M FDV (@Polymarket estimate) and assuming a 1B $SEA supply → price ≈ $0.5. Tokens required for users to break even: • Wave 1 — 3.31% • Wave 2 — 0.70% • Wave 3 — 0.32% • Wave 4 — 0.16% • Wave 5 — 0.30% Total needed for all waves to break even: ~4.82% of supply. At the same time, more than 25% of the supply is planned for the airdrop. This means even with conservative assumptions, the math is still heavily in favor of chest farmers. Based on my calculations, launch valuation could be around $1.5–2B FDV, which would require even fewer tokens for users to break even. In simple terms: Most chest farmers will likely get multiple Xs on their costs, not just break even. My advice: wait for the tokenomics and don’t spread FUD. The people steering the ship have been through multiple cycles and know this market very well. Make @OpenSea Great Again

@1faith_crypto @opensea Sea soon 👾

Hype around $SEA / OpenSea FDV 🚨 The bets are placed, and I’m not joking — check out the screenshot: here’s where I placed mine on Polymarket. March 30 – April 15 — $SEA launch. FDV at the start will be 1.5–2 billion, and by the second day, we could see it hit 2 billion, after which we'll be heading towards breaking the ATH, just like we’ve seen with other NFT marketplace launches. And you know what? The small % on Polymarket are really screaming “buy now!” 💎 The company has already raised $427 million in investments. And the launch of the long-awaited OS app could completely flip the game. My advice: take a close look at the undervaluation on @Polymarket, because you rarely see this with such a large company. This is the moment 🚀 Make @OpenSea Great Again

@UnPC17 @joeyyochheim hi, did this help you personally or do you know someone who has had their eye floater go away? Or is this just an opinion from the internet, I just saw about bromelain from pineapple

@joeyyochheim THE ONLY CURE THAT WORKS: Eat one big slice of fresh, raw pineapple every morning. Eye floaters should improve within four months. They will be completely gone in a year.

Eye floaters are ruining your vision. Those annoying specs & squiggles floating across your eyes? Here's what they actually are, why you have them, & how to get rid of them:

Medellín looks nice👀

@opensea 7TWJ4eVtfxYvKa5K8YuYWZpCgKuo3TgDF4gwjeQY2abK

Solana token trading is now live on OS2 for some closed beta users & will be rolling out to more in the coming weeks. This is a big milestone in our multi-chain journey. Solana has some of the most passionate users and builders in web3. Coins first, NFTs coming later. Most tradable now, more in a few weeks. Want in early? Drop a reply with your SOL address!

@TheLatamGuy who is she?

"Corazón de Niño" by Argentine composer Raúl Di Blasio 🇦🇷🎹

@CMDRVALTHOR @grok какая эта серия сериала?

Watch this and have your mind blown. They knew it did this 20 years ago. Whoever wrote the script for this episode of X-Files has to be a time traveler or a senior deep state operative who revealed their entire plan just for giggles.

Life is so beautiful. Keep grinding boys I promise it’s worth it

Guatemala 🇬🇹✨

The wind on this frozen lake in Canada 📹 samanthalreid

🕯️✨

You can just pick flowers and give them to your maiden.

@BGatesIsaPyscho Who is guy???

“The way this Matrix is designed is its not in our best interests - everything is poison”

@GringoGuerrilla @??

Australian bedtime routine

@GringoGuerrilla who is girl??

🇻🇪✨

@PrimordialAA @easonhuag @0xMagicman Why not make early users timed to the last round of investments (April 4), when there was a big spike in activity

@easonhuag @0xMagicman First 12 months is current threshold

Ok let's talk some numbers. 23.8% of the supply is going directly to the community and builders. This does not include foundation, growth, etc. Directly to community. 8.5% of this is being distributed day 1 (5% core, 3% RFP, 0.5% community pool) The majority of the remainder will be given over the next 36 months with additional retroactive distribution every 12 months, along with some forward looking RFPs for builders. What does distribution actually look like on day 1? We've been running a bunch of distro sims and given we haven't finalized the final sybil #s or the final RFP #s it's a bit hard to say exactly but a general shape is emerging. These are before ANY sybil removal and ignoring any RFPs. I've toned down the number distributed in this to 7.5% to account for non-overlapping RFP/etc., so you can imagine this would be distro shape if it was strictly 7.5% for LZ Core. 6M starting addresses, 3M having only sent between 1-5 tx so assume those are mostly gone. 3M addresses remaining. Let's take an assumption of 0 sybil filtering and of 1M eligible addresses filtered (should have more exact #s on this later today) 25 min, model 1 Total entries: 847,332 (28.2% eligibility with 0 sybil filtering / 42.36% with 1M sybil filtered) Entries with 25-100 tokens: 718,227 (Sum: 31,584,258.69) Entries with > 100 - 1000 tokens: 124,103 (Sum: 29,308,527.08) Entries with > 1000 - 10000 tokens: 4,813 (Sum: 9,275,407.31) Entries with > 10000 tokens: 189 (Sum: 4,831,806.92) 50 min, model 1 Total entries: 440,149 (14.67% eligibility with 0 sybil filtering, 22.00% with 1M sybil filtered) Entries with 50-100 tokens: 274,359 (Sum: 18,625,838.81) Entries with > 100 - 1000 tokens: 158,695 (Sum: 37,329,913.21) Entries with > 1000 - 10000 tokens: 6,861 (Sum: 13,069,599.75) Entries with > 10000 tokens: 234 (Sum: 5,974,648.23) 25 min, model 2 Total entries: 823,376 (27.44% eligibility with 0 sybil filtering, 41.16% with 1M sybil filtered) Entries with 25-100 tokens: 694,774 (Sum: 30,491,067.23) Entries with > 100 - 1000 tokens: 122,448 (Sum: 29,352,999.82) Entries with > 1000 - 10000 tokens: 5,997 (Sum: 11,420,971.35) Entries with > 10000 tokens: 157 (Sum: 3,734,961.60) 50 min, model 2 Total entries: 424,462 (14.14% eligibility with 0 sybil filtering, 21.22% with 1M sybil filtered) Entries with 50-100 tokens: 261,903 (Sum: 17,773,131.19) Entries with > 100 - 1000 tokens: 154,205 (Sum: 36,763,465.73) Entries with > 1000 - 10000 tokens: 8,161 (Sum: 15,811,837.36) Entries with > 10000 tokens: 193 (Sum: 4,651,565.71) 14 - 42% eligibility roughly, min on core spread between 25 and 50 min, Numbers will continue to get more dialed in as final RFPs are cleaned up and sybil reports are finalized. Would love to hear some thoughts

@PrimordialAA Can we talk about early users, timed to coincide with the date of the investment round? After which there was an obvious surge in activity on the network? @PrimordialAA

Ok since it's coming up a ton today, here is how we're currently thinking about eligibility from a wide lens. The focus is clearly on real users and the fairest and broadest distribution of highly aligned, most durable users. A lot of this is informed by results of the Sybil process and any real final definition will come directly from @LayerZero_Labs vs my ramblings 6M initial wallets 3M have sent < 5 tx lifetime, so let's say 3M wallets to really consider. All transactions < $1.00 deweighted -80% but still count just at 1/5th the rate of a normal tx All 'valueless NFT' tx deweighted -80% but still count, just at 1/5th the rate of normal tx (In this case valueless is defined as having a listed marketplace value of < 0.00001 ETH or minimal lifetime volume) These 2 alone deal with most of the inorganic network spam that has largely disappeared post-snapshot. Things like gas-drop count as valid tx from there normalize tx based on protocol fees specifically (not the fee to the underlying blockchain the tx was processed on) min value on this is eligibility criteria, max value/upper bound as well multipliers based on things like early usage (had played with the idea of block reward/halving style distribution being replayed over tx history but discarded for complexity) cliffs: Remove sybil, remove spam, semi-linear with upper bound cap, reward early users, reward durable users, RFP to reward all non-standard protocol interaction like LP/etc., focus on fairest and most optimal distribution for protocol