@enoch_fyw · X

MBTI for founders, connect with Investors the fun way!

@BayofDomain · X

@Caden1Fenn · X

Intel Brief — tracks what your competitors change (pricing, features, positioning) and delivers it to your inbox weekly. Built for indie SaaS founders.

@namefit1 · X

How many builders have the right domain name for what they are building? makes it easy for them. You list your needs, seller bid their names, and you pick the winner. This video explains it

u/balubala1 · Reddit

I’m a 5 year old with a $100K MRR SaaS. Here’s what I did. Hi everyone, I’m Brian. I’m about to start kindergarten soon. Also, I built a SaaS that makes me $100K MRR. A few people, and even my own family, have been asking me how I built a successful business when I don’t even know how to wash my own face. I figured I shouldn’t keep it to myself and let everyone know. Mommy did say it’s bad to keep secrets. Ship in a week : What even is validation? I opened Daddy’s laptop and presse

@instantarb_io · X

Hi. Building a real-time platform for crypto arbitrage, funding rates, and market analytics.

@VMS2907 · X

Get your office to get meaningful output from AI -

@chandlerwilcox · X

(not finished)

@Stock_Works · X

We built the SpaceX stock token accumulation engine A true RWA flywheel that can only exist on Robinhood chain The treasury nearly owns 200 $SPCX stock tokens. With 5 ETH still liquid. Find me another platform doing this?

@joeblau · X

g418572664 · V2EX

做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复

@stephanebalon · X

a SaaS for product-based SMBs that rely on supplier pricing to prepare customer quotes. It centralizes RFQs, supplier responses, pricing history, ETAs and margins—so teams can quote faster, protect profitability and stop searching through emails and spreadsheets