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X 原图 ↗账号说明展开收起
@zostaff 已挂上真实 X 资料和最近推文证据;部分内容仍待审核。
风险阅读
不确定性较高
证据充分度
中 · 40
风险阅读
不确定性较高
证据充分度
中 · 40
当前记录存在未解决不确定性,可能来自风险标签、待审核事项、信号冲突或上下文不足。这是复核提示。
本页所有内容都不构成身份、安全或交易结论——只是已采集证据加上解读。
主要依据
判断边界
图片库存
没有原创帖子图片
24
已保存媒体
图片库存
没有原创帖子图片
24
已保存媒体
已采集到帖子,但都没有原创图片(纯文字 / 转推 / 链接)。头像 / 横幅仍会采集。
帖子图片
0
去重图片
0
关联推文
0
新鲜度
较新
最近采集媒体: 2026-09-12 20:55
刷新只增不删:即使推主已删除原图,这里保存的历史媒体也不会被删除。
快速判断
账号关键信息
展开
快速判断
账号关键信息
注册历史
1 年 11 个月
粉丝 / 关注
16.1K / 97
内容证据
已采集 30 条
档案密度
档案证据可检查
社区校准
你觉得这个分数准吗?你的反馈会参与校准。
雷达分
78
风险
高风险
粉丝数
16.1K
关注数
97
追踪帖子
30
数据状态
证据可用
本页由真实采集快照支撑(更新于 4 天前)。评价与审核仍可能修正解读。
结果来源: 已保存 + 已采集证据
服务器保存记录 + 真实采集证据。
最近一次采集运行: 已采集
状态:已采集 30 条最近推文。
开始于 2026-09-12 20:55 · 结束于 2026-09-12 20:55
📖 会员权益
预览
完整媒体库存
当前仅看数量预览,会员可看完整档案上下文
关联推文
会员可查看哪些推文支撑这些保存媒体
互动结构
会员可看分数背后的上下文,而不只是分数
风险原因
会员可查看页面为何提示谨慎或需要复核
历史变化
会员可查看精选历史档案和时间线语境
以上仅为阅读上下文,不构成身份或安全结论。
真实采集证据
资料快照
采集资料粉丝数
16K
关注数
97
推文数
14K
记录时间
2026-09-12 20:55
采集媒体证据
媒体库说明
当前预览前 12 条,共 24 条。切到档案标签可看完整媒体库。
横幅
X 原图 ↗登录会员后可查看该视频或受保护图片。
视频
原推 ↗视频缩略图
原推 ↗登录会员后可查看该视频或受保护图片。
视频
原推 ↗视频缩略图
原推 ↗登录会员后可查看该视频或受保护图片。
视频
原推 ↗视频缩略图
原推 ↗登录会员后可查看该视频或受保护图片。
视频
原推 ↗视频缩略图
原推 ↗登录会员后可查看该视频或受保护图片。
视频
原推 ↗视频缩略图
原推 ↗粉丝数
16K
关注数
97
推文数
14K
来源
third_party_api

zostaff
采集时间: 2026-09-12 20:55
doing things i won't be ashamed of
最近采集推文
I make $2,400 a month at my job. A spider I built in degen village made $1,800 in one night by copying wallets I didn't know existed I wasn't reading charts. I opened the terminal and the spider had already mapped 340 wallets and followed 9 trades from the smartest ones I didn't tell it which wallets to follow. It figured that out on its own Every transaction on Robinhood Chain becomes a thread in the web Three buys from different addresses inside four blocks and the spider ties them into one cluster It scores each cluster by history. Did the last 12 entries go up 50%? Then the win rate is high and the spider starts watching At 2:14am cluster #4 entered $HORMUZ. Five wallets, one minute apart. The spider followed with 4.8 ETH. Closed +1.62 At 2:38am cluster #7 entered $SLOPNALD. Three of its last four entries had rugged. The thread went red. The spider cut it Without the spider I would have aped in because the chart looked good At 3:11am two new addresses bought $PERONA in the same block. The spider grouped them, checked six previous tokens, found 78% win rate, followed. Closed +0.84 It does not read the token. It does not read the chart. It reads who is buying What it tracks per cluster: How many wallets move together. Three or more buying within four blocks = one cluster What happened to their past entries. Survived or rugged. Rolling win rate per cluster Whether the deployer matches a serial launcher. Three rugs in a row = thread cut permanently Cluster depth. Five wallets together is stronger than two. The spider sizes by depth Session total at 3:47am: > wallets: 340 > clusters: 11 > smart (>70% wr): 6 > followed: 14 > wins: 9 > net: +2.00 ETH > bill: $0.00 The spider runs on graph traversal, not inference. Zero cost My AI agents saw the same market. Made +4.20 ETH but paid $40. Net: +3.90 The spider made +2.00 and paid nothing spider: +2.00 ETH, bill $0.00 AI: +4.20 ETH, bill $40.12, net +3.90 My boss asked why I looked tired. I said I was up late reading
A SPIDER IN DEGEN VILLAGE MAPPED 340 WALLETS OVERNIGHT, FOUND 11 SMART MONEY CLUSTERS, FOLLOWED THEIR ENTRIES AND MADE 2 ETH. IT DOESN'T TRADE ON SIGNALS. IT TRADES ON WHO IS BUYING. https://t.co/XfXbGfiTQY meet SPIDER. it sits in a web inside the village and watches wallet connections on Robinhood Chain: > every on-chain transaction becomes a thread in the web > wallets that move together get clustered. three buys from different addresses inside 4 blocks = one cluster > each cluster gets scored by history: how many of its past entries hit +50% within 200 ticks > when a cluster with a win rate above 70% enters a new launch, the spider follows > it does not read the token. it does not read the chart. it reads who is buying > if the cluster's last three entries all rugged, the thread goes red and the spider cuts it > the web rebuilds every 60 ticks. dead threads fade. new connections light up > inference bill: $0.00. the spider runs on graph traversal, not on a language model the spider found 340 wallets in one session. grouped them into 11 clusters. 6 had a win rate above 70% it followed 14 entries from those 6 clusters. 9 hit. 5 missed. wallets mapped: 340 clusters: 11 smart clusters (>70% wr): 6 entries followed: 14 wins: 9 net: +2.00 ETH bill: $0.00 the frogs read patterns. the flies trade on dopamine. the spider reads people. three creatures, three edges, zero inference: LAUNCH → FROG RADAR → FLY SWARM → +3 ETH on signals LAUNCH → SPIDER WEB → FOLLOW → +2 ETH on wallets trading here: https://t.co/SsW79GTiMm no API key. no subscription. no alpha group. just a spider watching who moves first on the same chain everyone else is refreshing.
FOUR INSECTS WITH NO LANGUAGE MODEL MADE 3 ETH IN DEGEN VILLAGE WHILE THREE AI AGENTS SPENT $40 ON INFERENCE TO MAKE 3.9. https://t.co/XfXbGfiTQY meet FROG + FLIES RADAR. a pond and a desk inside the village. three frogs watch. four flies trade. zero inference: > three frogs sit in a radar pond. each one detects a different pattern on Pons launches > VOLUME FROG catches volume spikes. 12 swaps to 340 in two ticks, tongue snaps to the radar mark > BREAKOUT FROG watches range compression. price flat 30 ticks then breaks, tongue fires > SKEW FROG reads order book imbalance. bids 4:1 over asks, tongue shoots > when a frog fires, the signal feeds into the same eight detectors the AI agents use > four low-poly flies run on a real insect connectome. 139,255 neurons, 50M synapses > flies don't think. PAM neuron fires, dopamine spikes, fly enters. 22 ticks later exits > neural HUD shows live firing rates and a spike raster that densifies mid-trade > inference bill per decision: $0.00. nobody bills for a fly the frogs found 47 signals overnight. the flies acted on 11. three hit. > frogs: 47 signals, 0 trades, $0.00 flies: 11 trades, 3 wins, +3.00 ETH, bill $0.00 AI: 9 trades, 4 wins, +4.20 ETH, bill $40.12, net +3.90 the flies almost matched three frontier models on net. with an insect brain. for free. the whole loop is: LAUNCH → FROG RADAR → SIGNAL → 8 DETECTORS → FLY / AGENT → TRADE → PNL → EXIT no inference. no tokens. no context window. just a pond and a desk watching Robinhood Chain flow through it. DEGEN VILLAGE · FROG + FLIES RADAR.
FOUR FLIES WITH NO LANGUAGE MODEL MADE 1 ETH OVERNIGHT IN DEGEN VILLAGE WHILE THREE AI AGENTS SPENT $40 ON INFERENCE TO MAKE THE SAME AMOUNT. https://t.co/XfXbGfiTQY meet FLY SWARM. type "fly" or hit the button and four low-poly flies land on the trading desk: > each fly runs on a real insect connectome, not an LLM > 139,255 neurons, 50 million synapses, zero tokens, zero bills > they read the same Pons launches as every other agent > same eight detectors, same market, same seed > decisions come from dopamine spikes, not chain-of-thought > no thinking budget. no context window. no API key > the neural HUD shows live firing rates and a spike raster that densifies when the fly enters a trade > motor commands read BUY / SELL / HOLD like steer / throttle / brake the flies don't think. they react. a PAM neuron fires, dopamine spikes, the fly enters. 22 ticks later it exits. no reasoning, no second-guessing and they made 1 ETH overnight the three AI agents made 1.2 ETH in the same session. but their inference bill was $40. the flies' bill was $0.00 net after fees: > flies: +1.00 ETH, bill $0.00, net +1.00 claude: +1.20 ETH, bill $40.12, net +0.90 grok: +1.20 ETH, bill $5.14, net +1.16 gpt: +1.20 ETH, bill $18.30, net +1.07 the flies beat claude on net. with an insect brain. running for free the whole loop is: LAUNCH → DOPAMINE SPIKE → ENTER → 22 TICKS → EXIT → $0.00 no inference. no tokens. no context window. just four flies on a desk making trades with their nervous system. DEGEN VILLAGE.
I BUILT A MEMECOIN VILLAGE WHERE AI AGENTS TRADE FOR ME ON ROBINHOOD CHAIN AND REFUSE EVERY SETUP THAT DOESN'T PASS 8 DETECTORS. https://t.co/XfXbGfiTQY meet DEGEN VILLAGE. one button and four agents start scanning Pons launches: * fresh tokens enter the scanner automatically * every launch gets checked through PACE / PATTERN / ENTROPY / EXPOSURE / GAS / RISK / YIELD / SWARM * bad setup = SKIP + exact reason on screen * good setup = FIRE * 6 out of 8 signals or it doesn't enter * positions mark to market every tick *TP / trailing / max-hold exits handled by the agent * equity curve, detector grid, leaderboard and tx log update live on one terminal a token can pump 300% and the agent will still refuse it if the dev wallet is fat or the metadata is recycled. the whole loop is: LAUNCH → SCAN → 8 DETECTORS → FIRE / SKIP → TRADE → PNL → EXIT no refreshing DEX screener. no checking 8 tabs. no waking up at 3am to see if your bot is alive. just open the terminal and watch Robinhood Chain flow through it. DEGEN VILLAGE.
📊 指标解释
6 项
注册历史
1 年 11 个月
注册时间 2024-10-05 10:51
账号规模
16.1K
最近一次采集时的粉丝数。
粉丝 / 关注
16.1K / 97
粉丝显著高于关注 · 粉丝显著高于关注——较强的结构信号。 粉丝/关注比约 166。
内容证据
已采集 30 条
最新采集推文会作为内容和风险判断依据。
档案密度
档案证据可检查
结构和内容样本足够,不触发空账号扣分。
社区样本
0
样本太少,不能形成平台结论。
🗺️ 身份地图
🧩 判断结构
主身份
卖图博主
引流号
内容题材
变现路径
可信信号
风险信号
🧭 为什么这样判断
资料: @zostaff 的服务器保存档案。当前展示分已把持久化检索结果与 X 采集证据、媒体库存、粉关结构和互动痕迹合并校准;风险判断仍单独保留。
采集推文: 5 条已保存最近推文
媒体证据: 24 条已保存媒体
社区: 0 条公开评价信号
地区为账号自填。
🪪 信用信号4
账号性质
引流号
基于已保存资料状态、5 条采集推文、24 条媒体证据和 0 条公开社区信号。
正向信号
身份信息稳定 / 互推风险低
当前有 0 条较高权重评价信号,暂未挂接公开 Photo Match 结果。
风险信号
强引流风险 / 价格 / 门槛不透明
已挂接 0 条谨慎/风险评价信号和 1 条待治理事项。
适合谁
@zostaff 已挂上真实 X 采集证据,不再只是查询时的身份猜测。
评价还不够多。
🎬 内容体验
54/100视觉吸引力
6.5
尺度等级
公开样本不足
内容刺激度
6.1
原创度
6.0
更新稳定性
5.0
付费匹配度
3.2
📡 平台信号
P1站内行为
thin7日查询
1
收藏
0
举报
0
Photo Match / 人照一致
验证记录
社区立场
社区当前怎么看
暂无社区信号——第一条可追踪评价会显示在这里。
🪞 身份信号
🧮 评分明细
9 项
历史精华图片
叙事占位🏛️ 证据结构
0 条档案 · 2 条时间线
当前有 0 条档案、2 条时间线注记和 0 条已审核评价支撑这个分数。