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My "36 biggest startup opportunities" tweet went viral. I took the top 9 (AI, mobile apps, IRL) and did a full deep dive. Episode is live below http://youtu.be/IFLY6L3YPGo?si=dCjpbTBEy1rIUqex Happy building, I'm rooting for you
The 36 BIGGEST startup opportunities right now 1. biggest b2c: solving loneliness. third spaces, community apps, IRL 2. biggest b2b: managed AI employees for businesses 3. biggest overlooked: elder tech. 70 million boomers who want products that make them happier & healthier
View quoted postRT Caspar Broekhuizen basically a mechanic for your agents
calling it now. LangSmith Engine going to be our fastest growing product yet. https://www.langchain.com/blog/introducing-langsmith-engine
周末,初中同学家中有喜,我们一帮在深圳的初中同学十几个人都去了龙华吃酒。 太难得了,初中毕业都20多年了,还能在深圳聚起来。 我们在深圳的这帮同学,有在打工的,有自己开工厂的,有自己开公司的,有中学老师,有大学老师,有自己做生意的,这么多人里就3个没来,一个去外地上课了,一个在监考,一个出差中。 而能够聚起来,其实这位有喜的叶同学功不可没。这不是第一次聚会,在十几年前开始,他就不断的把到了深圳的同学约到一起,大家互通有无,互帮互助。 我们这帮人,最开始都在打工,后来有人慢慢的开始自己做生意了,开了便利店,开了一家又一家;有人在公司学会了搞商超门面设计后来就自己开了设计公司;有在外贸公司干过的,后来就自己干外贸;有在工厂里干管理的后来转销售再后来自己开了工厂;还有我也是先打工后有了自己的小公司。 叶同学初中毕业后就来深圳打工了,最开始跟着亲戚送快递,后来进厂,从流水线工人一步步做到了副厂长,再后来又跟着朋友做业务进了一家公司后来上市了,拿着老板的钱囤显示屏,赌对了赚了。 后来到了14年,叶同学拉着我们几个同学一起出资,搞了一家公司,从一位老板(周末也到场了)那里拿全景行车记录仪 PCB 板,我们自己买配件组装为成品贴上我们自己品牌销售。 这家公司刚开始两年,我们所有股东都不在公司里任职,花钱请人来上班干活。 读到这里,即友们就知道这样的模式不靠谱了。的确是,老板们都不在,员工怎么可能会卖力做好事情呢。 后来到了16年,公司账上钱花完了,大家商量是继续投资还是怎么办,最后是叶同学接手了公司,其他股东退出。 到现在,这家公司已经变成在龙华有一层楼厂房加办公室的工厂了。 起死回生的关键是叶同学又花了一两年去推自己品牌花了上百万发现不好推之后,他转为帮别人代工贴牌,也就是他公司负责生产,但不需要管销售了,利润虽然微薄,但的确可以养活公司了,最开始只租了一个车间,后来变成租了半层,再到后面租了整层楼,有两个生产车间,加多个仓库,老化室,办公室等等。 现在好多行车记录仪品牌都在他这里代加工,如盯盯拍就有一部分产品放在他这里生产。不过他现在的大客户不是盯盯拍,是另一个牌子(我一下忘了名字了)。 把同行变客户,叶同学这步棋走得很漂亮,以前推自己的品牌,就是在跟同行竞争,但是转为代加工之后,同行都变成客户了。 当然抱对了提供 PCB 板那位老板的大腿也是关键,初期有一大部分客户都来自于这位老板,因为他是源头,并不是每一个客户拿了 PCB 板都会自己组装,于是这些客户就被介绍给叶同学了。 周末聚会,大家交流起来一致认为,当初选择来深圳,来对了,还是深圳机会多。不管什么学历,都能在深圳找到自己的一席之地。
Can’t even read the article and I know it’s about @isaiah_p_taylor
A 27-year-old high school dropout is racing to bring a nuclear reactor online faster than much of the industry thought possible. Backed by Trump allies, Palantir-linked investors and a deregulation push in Washington, Valar Atomics embodies Silicon Valley’s new brute-force
View quoted postAh, remember when knowing JavaScript was a skill. Those were the days.
All Firewall mitigations are now fully free on @vercel. Not just DDoS and system-level mitigations, but also any rule you configure. Vercel now absorbs the computational and network costs of any size of attack or traffic mitigation for your peace of mind. (And more to come!)
All firewall-mitigated traffic is now free on Vercel. Starting today, you aren't charged for requests that are denied, challenged, or rate-limited by Vercel Firewall. This extends free DDoS mitigation to rules you configure. https://vercel.com/changelog/web-application-firewall-mitigated-traffic-is-free-on-vercel
View quoted postRT Caspar Broekhuizen This release is absolutely stacked. I want to call out a sleeper feature: Interpreters Imagine your cloud agent gets a 10k-row CSV of support tickets. Without a code runtime, the model is stuck reasoning over chunks of raw rows in context With an interpreter, it can write code to do this analysis in one turn: parse the CSV, group tickets by 𝚎𝚛𝚛𝚘𝚛_𝚌𝚘𝚍𝚎, count each group, sort by frequency, sample 3 ticket bodies from each group, and finally return a small table Interpreters handle a lot of sandbox-shaped jobs with a lighter-weight runtime that lives right inside the agent loop, no bash required
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