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라이징 스타 헬레나를 만나보세요!🎤 B급 아이돌 헬레나가 새로운 의상을 입고 무대에 올라왔어요. 스페셜 스킨, 라이징 스타 헬레나가 곧 투어를 끝내고 휴가를 간다고 하니, 놓치지 말고 만나보세요! "어때, 나도 이제 S급 아이돌 같지?" 📅5월 7일(목)까지 패키지 상점에서 획득 가능!! 응원의 마음을 담아 팔로우와 좋아요💖 꾹! 헬레나를 향한 팬심은 댓글로 마구마구 표현해 주세요! 🎉 #브라운더스트2# #헬레나# #스페셜스킨#

2025-05 , 2025 PlayX4 브라운더스트2 - B급아이돌 헬레나 Cos.M - 카에님 @Kae_0402 수고많으셨습니다! #브라운더스트2# #브더2# #플레이엑스포# #playx4# #헬레나# #browndust2# #cosplay#

그렇다네요 다시한번 1위도전 B급 좀비호러코믹 즐기러오세요 🙌🏻 #뮤지컬# #이블데드# 2차티켓오픈 !! 💉💀☠️👻 #유니플렉스# #대학로# @evildead_m2017

뮤지컬 이블데드 캐스팅 공개 😈 좀비 호러 코믹 B급 뮤지컬-이블데드 "musical-EVILDEAD 제발현혹되어주세요/ 현혹되게만들어드릴게요 하하 👻 조권 = 스캇 @evildead_m2017

单休大小周双休都上过，害得是双休爽，但带薪假真少 最近看那个专升本哥疯狂嘲讽B站网友，说大家只敢在弹幕里刷“双休”，现实里连去劳动仲裁都不敢。怎么说呢，看到这话真挺乐的，多少有点站着说话不腰疼了。凡是在社会上毒打过几年的都知道，去仲裁要搭进去多少时间精力，更别提还要防着恶心人的HR搞背调、小地方圈子小不好找下家。大家在弹幕里刷双休，那是因为真苦这个久矣，拿普通人的软肋去嘲讽普通人，属实没啥意思。 说回作息，我自己出来混这几年，单休、大小周、双休全都上过，算是把版本的毒都挨了一遍： 单休：纯纯的坐牢。周六下班整个人已经废了，周日睡半天、洗个衣服搞下卫生，眼睛一闭一睁又要周一了，活着全靠一口仙气吊着。 大小周：最恶心的发明，没有之一。小周那周跟单休一样绝望，到了大周休两天居然还会产生一种“占了老板便宜”的错觉，纯纯的PUA神器。 双休（包括周中双休）：兜兜转转，最后害得是双休爽！一天用来彻底放空熬夜打游戏、出门溜达，另一天还能踏踏实实躺平回血。而且说白了，双休甚至都不一定非得是周六日休息，哪怕是排班在周中休两天也完全OK啊！很多黑心老板总拿“周末有业务、门店不能停”当借口搞单休，其实只要愿意招够人搞轮休，周中连休两天或者拆开休两天，去商场吃饭不用排队、去医院景点不用人挤人，错峰爽玩照样美滋滋。核心根本不是非要绑定周末，而是人真的需要“上五休二”来喘口气，这特么才叫正常人的生活。 而且最让人破防的，还得是国内逆天的“调休”环节，说白了就是朝三暮四，调班！ 设计调休的专家默认全中国都是双休，但凡干过单休和大小周的老哥都知道，一旦遇上五一、国庆这种调休，那才是真正的地狱绘卷：放假的时候公司按法定只放那几天，但到了国家规定的周末补班日，公司可是一天都不落全跟着补！ 这就导致单休或者刚好卡在小周的人，原本周六就要上班，周日再被国家征用去“调休补班”，直接把两周焊死连在一起——前一周上6天+周日补班1天+后一周再上6天，活生生连上13天班！上到第10天的时候人都是飘的，看谁都像重影，那种生理和心理的双重绝望，没经历过的人根本想象不到。 说实话，就算我现在混上了双休，不用再渡劫连上13天了，有时候想想还是觉得憋屈。说到底，中国的带薪假还是太少了！ 满打满算工作一年才给那可怜的5天年假，想攒到10天得熬满10年，请个假还得看领导脸色；法定节假日表面看着长，实际全靠调休东拼西凑拆东墙补西墙。 打工人哪有不想要权益的，但光靠底层牛马自己去跟公司头铁仲裁能解决啥根本问题？说白了，现在最迫切的就是取消那折磨人的调休，把整体工资提上来，把实打实的带薪假给加起来。钱到位了、不用调休的带薪假多了，谁还在乎弹幕刷啥啊。 令人唏嘘！

承认赚钱的艰难和低概率，是赚到钱的第一步。 否认这个事实坚信赚钱容易一把梭哈——掩耳盗铃，自欺欺人，刻舟求剑，自以为是。这种心态和思想，会剧烈的把自己推到赚不到钱的道路上。 即便已赚到的人，这种思想也是装B式的虚荣。年轻人不知道天高地厚，未来有大把坑等着你，随便一个伤筋动骨的损失。

Salesforce acquires Listen Labs for ~$2b. But who gets the 💰? My usual breakdown below 👇 The company was founded in Sep-23 and had raised less than $100m. Investors will share ~$850m of profits on $96m invested, a ~10x blended. From a huge pivot to a unicorn valuation term sheet they refused, this is truly a wild story ✍️. In the end an incredible outcome for all involved. So let's dive in! 1) The boldest move: walking away from $1.5b 🎲 Listen Labs had a signed $125m Series C term sheet from Menlo at a $1.5b valuation... and walked away from it to sell to Salesforce at ~$2b. This takes a huge amount of courage: few founders turn down a signed unicorn-plus round. @itsalfredw and @florian_jue did it 2.5 years after founding. Huge congratulations are in order for the discipline and execution of the founders here. 2) Founders and team: a life-changing outcome in under 3 years 🥳 By my best estimates, founders and team still own over half the company. At $2b, that's ~$1.1b for them to share. Specifically, assuming a 15% option pool, that is ~$300m for the team and ~$750m for the two co-founders. And, as was the case with Hugging Face, this is all from a pivot. They originally built an AI customer-interview tool to understand why their viral app BeFake was growing, then realised the tool was the business! 3) Sequoia's Bryan Schreier did it again 👑 What few people know is that Bryan was an early backer of Qualtrics... the category Listen Labs is disrupting. Now he led both the seed and the Series A here. By my estimates, those two rounds will return ~$670m combined, or ~25x on ~$27m invested, in under three years. Pattern recognition and industry knowledge have their perks, it would seem! 4) Ribbit: 4x in 8 months ⚡ Ribbit led the $69m Series B in Jan-26 at ~$500m. At $2b, that's ~4x in 8 months. Unbelievable IRR and a great return on a meaningful cheque. 5) Neo does it again, congrats @apartovi 🎯 Listen Labs went through the Neo accelerator early on, which came with a $600k SAFE. On my estimates, that cheque is worth ~$25m+ today. This comes just three months after Cursor's acquisition (a cool >1,000x for Neo). What a hit rate! This one is very straightforward: it is a massive win for everyone. And so congratulations to all involved: Sequoia, Ribbit, Conviction, Pear, Neo and the team!

I asked people: "where should neolabs go for GPUs?" 15 votes: SF Compute (@evanjconrad @jeztek @Ethan_is_online @EricMenees @apagajewski) 11 votes: CoreWeave (@BrianVenturo @branninmcbee) 10 votes: Modal (@bernhardsson @akshat_b) 10 votes: Nebius (@romanchernin) 9 votes: Lambda (@stephenbalaban) 5 votes: Fluidstack (@garywu @CesarMaklary @jimcox25) 4 votes: RunPod (@flash__singh) 3 votes: Crusoe (@ChaseLochmiller @Electron_Cowboy) (also received one vote against) 3 votes: Together AI (@vipulved @ce_zhang @tri_dao @percyliang) 2 votes: Baseten (@tuhinone @amiruci @saltyph @defpan) 2 votes: Google Cloud (@sundarpichai) 2 votes: Oracle (@ClayMagouyrk) 2 votes: Ornn (@bavaria_kush @wayne_nelmz) People couldn't pick a company they work at or founded. Disclosure: I'm a small investor in SF Compute. I didn't vote.