📣📣📣特大利好消息:菲律宾马尼拉公关年龄标准调为33–42岁,该年龄段综合能力、人情世故、稳定性最平衡的阶段,也是本公司、许多客户公司和政府事务岗位最偏好的年龄段。 一、日本公关经理 1、 年龄:33-42岁以下 2、身高:女,165及以上,男,175及以上 3、体重:与身高协调 4、形象:颜值高气质佳 5、沟通表达良好 6、中英日文流利,条理清晰 7、日本籍或永居 8、新闻媒体、传媒方向优先,无需政府关系和公关经验 加分项 *在当前领域或公关领域工作出色,有一定政府,法务,媒体资源; *长期在日本发展,有日本身份的其他国籍人士 二、香港公关经理要求: 1、 年龄:33-42岁以下 2、身高:女,165及以上,男,175及以上 3、体重:与身高协调 4、形象:颜值高气质佳 5、沟通表达良好 6、中英流利,条理清晰 7、香港籍或永居 8、新闻媒体、传媒方向优先,无需政府关系和公关经验 加分项 *在当前领域或公关领域工作出色,有…

Channel
海外技术人才招聘
@Lolita880
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,736subscribers
-63 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002605456449 |
|---|---|
| Type | Channel |
| Username | @Lolita880 |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 18 August 2026 |
| On Telegram | t.me/Lolita880 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Aug 2026, 04:11 | 1,736 | -19 |
| 14 Aug 2026, 19:58 | 1,755 | -23 |
| 11 Aug 2026, 00:14 | 1,778 | -21 |
| 7 Aug 2026, 15:47 | 1,799 | no change |
| 7 Aug 2026, 13:33 | 1,799 | first reading |
Engagement
20 posts held, back to 29 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.40%
- avg views ÷ 1,736 subscribers
- Avg views / post
- 163
- 20 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 20
- of 20 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (29 July 2026 – 7 August 2026) |
| Views total | 3,265 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 15:47 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Recent posts
各位亲,这边继续招聘3名高级java开发,可第三国远程或来菲,优先有支付经验的,麻烦留意推动 谢谢! 高级Java开发 "试用期:34k-44k 转正后:40k-53k + 绩效" 9小时周休一 "专科及以上学历,计算机相关专业,至少8年以上 Java 开发经验。 联系:@Lolitayale 深入理解并实践过大型微服务架构,能够设计并优化复杂系统,熟悉分布式系统原理。 精通Java编程,对JVM优化、并发编程(JUC)、IO操作、锁机制有深入理解。 在高负载、高并发场景下有成功的项目经验,能够解决性能瓶颈和系统调优。 深入了解数据库设计和优化,熟练使用SQL语句、事务处理,有实际的数据库性能优化经验。 熟练运用 Spring、Spring Boot、MyBatis等框架,能够进行框架源码级别的定制和优化。 精通Redis、MQ等常用缓存和消息中间件,能够选型、设计和优化相关方案。 对微服务架构的各种组件如Gatewa…
【体育产品总监】 base深圳南山 岗位职责 全权负责海外体育竞技类产品整体规划,聚焦竞技对战、赛事竞玩、比分推演、体育闯关、球星对战等核心竞技玩法设计,面向东南亚、拉美等海外市场制定产品周期规划,对流水、付费转化、次日 / 7 日留存、LTV 核心指标负责。 深挖海外球迷喜好(足球、篮球、美式体育为主),结合联赛赛程周期性上新竞技模式:实时赛事对战、多人 PK 竞技、赛季天梯排位、赛事挑战赛、球星阵容养成竞技体系,完成玩法创新、迭代、淘汰全生命周期管理。 搭建竞技商业化体系:竞技门票、赛季通行证、球星卡牌养成礼包、竞技专属道具、段位特权会员等变现模块设计,兼顾竞技平衡性与营收收益,避免逼氪流失。 以数据驱动竞技玩法迭代,分析对战胜率、玩法参与率、付费节点、流失节点,落地 A/B 测试优化竞技平衡性、匹配机制、奖励体系,提升用户竞技时长与复玩频次。 联动研发、风控、运营、本地化团队落地版本排期、灰度上线、赛季更新;针对不同国家…
风控产品经理(体育、彩票 或者风控类的,一个方向就行) 工作地点: 马来西亚(入职地点),可远程办公一个月后转为当地入职 国籍要求: 中国、台湾、马来西亚 年龄要求: 40岁以内 学历要求: 本科及以上学历,计算机、金融、统计、数学等相关专业优先 负责风控产品的规划、设计与迭代,制定风控产品路线图 结合业务发展阶段,设计与优化风控策略、规则及审核流程 跟踪行业风控政策及监管动态,确保产品合规 主导风控系统需求分析,输出产品文档,推动技术团队落地实现 建立健全风控管理流程与内部制度,完善风险识别、监测、预警及处置机制 与业务、技术、运营、客服等多部门协同,推动风控体系持续优化 任职要求 年龄40岁以内,本科及以上学历 5年以上风控相关产品工作经验,有互联网金融、支付、等相关行业背景优先 熟悉数据库基本操作(如SQL查询、数据提取),能够独立完成风控报表的设计 熟悉风控业务全流程及行业政策法规(如反洗钱、反欺诈、征信合规等…
Video, posted without a caption
活动运营(海外市场) 薪资:20K-35K 上班时间:12小时月休4 不超过35岁 到岗胡志明 联系:@Lolitayale 岗位职责 负责美区、拉美、东南亚及印度市场的线上活动运营,结合当地用户特征、文化习惯及节庆热点,制定区域化活动策略。 独立策划并落地大型线上活动,包括方案设计、资源协调、上线执行、风险控制及效果复盘。 参与营收功能和付费玩法的设计与优化,如会员、订阅、虚拟道具、充值激励及用户付费成长体系等。 基于用户行为、付费数据及活动数据,搭建分析模型,持续优化活动机制、奖励结构和商业化效率。 制定活动核心指标并进行效果监控,推动用户活跃、留存、付费转化、ARPU及营收增长。 协同产品、研发、设计、市场及本地化团队,保障项目按期、高质量交付。 持续跟踪海外市场趋势、竞品动态及优秀案例,沉淀可规模化复用的活动运营方法论。 任职要求 本科及以上学历,3年以上互联网活动运营、用户运营或商业化运营经验。 对美区、拉美、东南…
base 亚美尼亚
亚美尼亚 新增:初级项目管理((人才储备) 初级项目管理 0海外留学的人才可以咨询 薪资:3,000U–4,000U 年龄:30 岁以下
数值策划(Slots 游戏方向) 到岗新加坡 35岁以下 薪资面议 卡学历 本科起,学历院校填写真实的 联系:@Lolitayale 岗位职责 负责 Slots(老虎机)类游戏的数值体系设计与维护,主导主题项目的数值配置工作; 设计并优化转轮符号权重、赔付线结构、赔率表、免费游戏触发概率、Bonus 奖励分布等核心数值模型; 运用 跑库算法 进行大规模模拟运算,验证数值模型的长期预期回报率(RTP)、波动性、玩家留存曲线等指标; 熟练使用 纸带算法(物理纸带/虚拟纸带)配置转轮停靠逻辑,确保游戏结果符合合规要求且体验流畅; 针对 官方牌照类游戏(如菲律宾 PAGCOR、英国 UKGC、马耳他 MGA 等监管标准),设计满足合规要求的数值方案,撰写相关技术文档; 与程序、美术、测试紧密协作,跟进数值实装后的表现,根据运营数据持续调优数值平衡; 参与新玩法、新功能的数值原型设计,输出清晰的数值需求文档。 任职要求…
🍇Cocos Creator 前端开发工程师 到岗马来新加坡 35岁以下 薪资面议 卡学历 本科起,学历院校填写真实的 联系:@Lolitayale 岗位职责 基于 Cocos Creator 引擎,负责 Slots(老虎机)类休闲游戏的客户端功能开发与维护,重点参与主题项目的迭代; 与策划、美术、后端紧密配合,完成游戏 UI 交互、动画特效、数值表现、资源管理等模块的设计与实现; 优化游戏性能,解决不同机型上的适配、内存、帧率等问题,确保流畅体验; 参与游戏 SDK 接入(支付、统计、广告等),处理原生平台兼容性问题; 编写清晰的技术文档,参与代码 Review,推动团队开发规范落地。 任职要求 本科及以上学历,计算机相关专业优先; 5年以上 Cocos Creator 实际项目经验,至少完整参与过一款上线手游(有 Slots/棋牌/休闲类游戏经验者优先); 精通 TypeScript / JavaS…
新增远程岗位 • AIGC(远程/驻场) • 产品经理(远程/驻场)- 具备支付产品相关经验,熟悉 USDT 支付流程者优先 • 安卓逆向工程师(远程/驻场) 以上岗位需求紧急,请优先推荐合适候选人并加快推进流程。感谢大家的支持与配合! 备注: • 提交简历时,请务必确认岗位类别准确匹配。 • 除远程岗位外,其他岗位将先远程工作约1个月,之后转为驻场办公。 • 请根据上述招聘需求投递相关岗位的简历,除列明岗位外,当前暂无其他招聘需求。 联系:@Lolitayale
高级测试工程师 1名 🤓地点:泰国🇹🇭居家办公 ❤️国籍:中国籍 ❤️性别: 优先男, 女优秀可以考虑 🫥薪资:45k 加绩效 (1) 完成日常的项目迭代任务,及时无遗漏的完成迭代任务,并输出对应的测试报告和bug清单 (2) 完成临时任务,包括紧急需求,渠道包测试,上架包测试,竞品分析,非项目自动化测试任务 (3) 参与需求评审,能够协助产品完善产品文档,减少需求疑惑点 (4) 自我管理,优化测试方法和流程,提升效率 (5) 精通python或者java语言,能够进行简单编程 (6) 抗压能力强,能够以团体为重,交付为导向" 联系:@Lolitayale
Showing the 12 most recent of 20 posts we hold for @Lolita880. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 1,143,611 of 1,549,376entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 18 August 2026 — this entry's latest reading, not the date you are reading this.
“海外技术人才招聘” (@Lolita880), 1,736 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/Lolita880.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.