🤖 AI Agent Friendly: This page is available in clean token-optimized Markdown.
View as .md

$CATE

Heating Up

Snapshot Window: 2026-08-04 10:10 UTC · ← Back to Crypto Overview

Tracked Posts
9
Total Impressions
21.1K
Total Likes
175
Retweets & Quotes
23
Comments
90

Social Momentum Summary

Total Engagement - Comments: 90, Retweets: 23, Likes: 175, Impressions: 21059

Verbatim Community Citations & Social Evidence 9 source posts analyzed

@noritaka_okabe

Lawson has started a proof-of-concept experiment for JPYC payments! Lawson conducts proof-of-concept for MetaMask payments—US dollar-denominated stablecoins also included (NADA NEWS) #Yahooニュース

@GpaAndy

most traders start with the wrong question. “should i buy btc?” too vague. no timeframe. no catalyst. no risk. no invalidation. no idea what evidence actually matters. a better question is: “what is supporting btc momentum, what could reverse it, and which signals matter over

A sleek dark-themed promotional graphic for "Quant AI" featuring a central gold logo surrounded by market data widgets showing BTC +2.81%, ETH +1.47%, market sentiment at 72 Bullish, and a sample query example asking "what is supporting btc momentum?" which receives an AI response citing rising spot demand, positive funding, and ETF inflows, with the tagline "the question is the first trade — better questions, better research." The image illustrates the post's message that better-defined questions (with timeframe, catalysts, and specific evidence) yield better trading research than vague ones like "should I buy BTC?"

AI visual note: A sleek dark-themed promotional graphic for "Quant AI" featuring a central gold logo surrounded by market data widgets showing BTC +2.81%, ETH +1.47%, market sentiment at 72 Bullish, and a sample query example asking "what is supporting btc momentum?" which receives an AI response citing rising spot demand, positive funding, and ETF inflows, with the tagline "the question is the first trade — better questions, better research." The image illustrates the post's message that better-defined questions (with timeframe, catalysts, and specific evidence) yield better trading research than vague ones like "should I buy BTC?"

@_JKNFT_

Kaboom! The Green Kaboom card from @PaniniAmerica featuring my Tiny King @moonbirds just sold for 13.4 eth!! Can't believe this card is so highly valued...so exciting to see my birb have his day! Congrats to the buyer and seller (but mostly to the seller )

An NFT marketplace listing showing "Kapow - [1/1] - 2026 Panini NFT Moonbirds - Birds" with a sale price of 13.40 ETH, owned by RaspySlabs on the Panini Blockchain.

AI visual note: An NFT marketplace listing showing "Kapow - [1/1] - 2026 Panini NFT Moonbirds - Birds" with a sale price of 13.40 ETH, owned by RaspySlabs on the Panini Blockchain.

@fyrechartz

Still possible, but the clock is ticking. The next few days could determine whether crypto regulation moves forward or gets delayed again.

@MiNuS94091396

CATE-SOL During the run up, I kept opening & closing — price was exiting straight through the top of the range each time. Stacked all the small PnLs into one: 10 cycles → +0.0788 SOL (~+7.9%) Small wins add up. $CATE @met_lparmy @meteorafr

A dark-themed cryptocurrency trading dashboard labeled '#SUPERTRX' showing a CATE-SOL DLMM trade with a +5.75% profit, a 01:23:02 timer, entry price of 0.0009513, low of 0.0008007, bin step 25, base fee 0.25%, and links to discord.gg/LPARMV and lparmv.com/academy.

AI visual note: A dark-themed cryptocurrency trading dashboard labeled '#SUPERTRX' showing a CATE-SOL DLMM trade with a +5.75% profit, a 01:23:02 timer, entry price of 0.0009513, low of 0.0008007, bin step 25, base fee 0.25%, and links to discord.gg/LPARMV and lparmv.com/academy.

@nica_nft

あら? ついこの前0にしたから700GMTくらい増えたーと思ってたら、これは何かが売れてるのか

A mobile screenshot of "RAFFLE RESULT" shows a total of 1,493,295 tickets, with the top three winners being "cchang" (1st place, 51557.89 GMT), "jocoRow" (2nd place, 45641.18 GMT), and "SORAI..." (3rd place, 51970.22 GMT).

AI visual note: A mobile screenshot of "RAFFLE RESULT" shows a total of 1,493,295 tickets, with the top three winners being "cchang" (1st place, 51557.89 GMT), "jocoRow" (2nd place, 45641.18 GMT), and "SORAI..." (3rd place, 51970.22 GMT).

@NKLinhzk

i’m digging this $Ansem buyback setup

@j1mfird

Floor is rising

@topwill000001

火曜日ゴミ捨てSTEPN 暇だからチケット掘ってみた レインボーカプセルがまた来たらぶっこもう #STEPN #STEPNGO

A screenshot from the fitness app STEPN GO showing a workout session with 6.69 GGT/MIN earned, a level 30 character named 'topwill' (TRAINER #856432352), and stats including 1.54 km, 00:23:10 time, and 3.99 avg speed.

AI visual note: A screenshot from the fitness app STEPN GO showing a workout session with 6.69 GGT/MIN earned, a level 30 character named 'topwill' (TRAINER #856432352), and stats including 1.54 km, 00:23:10 time, and 3.99 avg speed.