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Lisa Florentina ✓

@LisaFlorentina8 · Metaverse · joined 02 Aug 2022

She | Ambassador @TRONdao @Filecoin @HerondBrowser | KOL @ton_blockchain

12 619Followers
2 758Following
76 113Posts total
2.3MViews on collected posts

Postingan terbaru

➥ @axisrobotics just launched the challenger program. harder tasks. gated to top trainers only. 1–2 challenging tasks a day. 2–3x the points of standard ones. whitelist is earned, not given. weekly review on volume and quality across your full history. badge lives in http 211 views · 3 likes · 0 reposts · 3 replies Open on X →
400 million accounts on TRON ⚡️ Not a vanity metric. That’s USDT moving. Payments landing. Businesses settling. Value crossing borders every day. One network. Real throughput. @justinsuntron @trondao #TRONEcoStar https://t.co/mHYvKoCS0q 1.7K views · 80 likes · 0 reposts · 66 replies Open on X →
The next useful Bitcoin tool probably won’t be decided by how many indicators it shows. It’ll be decided by how cleanly it tells you what to do. Most traders don’t lack data. They lack a simple filter. Heatmaps, open interest, order flow and momentum are everywhere - the https: 1.8K views · 88 likes · 0 reposts · 67 replies Open on X →
➥ Monad’s payments pitch is easier to understand once you ignore the TPS number. Most chains talk about sending money fast. That’s not the hard part. The hard part is making a payment feel like tapping a card, sending a remittance, or letting an app spend in the background https 1.4K views · 83 likes · 0 reposts · 63 replies Open on X →
@bitget Join bitget here: https://t.co/GHpKtXLDPK 289 views · 1 likes · 0 reposts · 0 replies Open on X →
@LisaFlorentina8 @bitget Capital efficiency is where tokenized assets become truly useful. Exposure is good, but utility is what drives adoption 451 views · 3 likes · 0 reposts · 1 replies Open on X →
➥ Bitget’s rToken is doing something most tokenized US stock products still haven’t fully cracked. Most people see tokenized stocks as just digital wrappers for holding or spot trading. But Bitget Stocks 2.0 turns rTokens (rAAPL, rTSLA, rNVDA, etc.) into genuinely useful https:/ 2.3M views · 283 likes · 21 reposts · 165 replies Open on X →

Dibandingkan akun berukuran sama

4 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil jauh melampaui audiensnya sendiri, dan audiens itu merespons.

Median tayangan1 526akun ini924median untuk 10K–100K
Jangkauan, %12.09%akun ini3.62%median untuk 10K–100K
Interaksi, %8.85%akun ini1.52%median untuk 10K–100K
MetrikAkun iniMedian untuk 10K–100KRasio
Median tayangan per postingan1 5269241.65×
Jangkauan (tayangan ÷ pengikut)12.09%3.62%3.34×
Tingkat interaksi8.85%1.52%5.82×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

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

2.3M10 Jul
451
28924 Jul
1.4K6 Sep
1.8K
1.7K
2117 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.02%10 Jul
0.89%
0.35%24 Jul
10.42%6 Sep
8.86%
8.84%
2.84%7 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes56.4%541 in total
Reposts2.2%21 in total
Replies38.1%365 in total
Quotes0.2%2 in total
Bookmarks3.1%30 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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