@HRSuccessCentre · X

Nobody explains the vesting cliff until you've already signed. So here it is in 30 seconds — the wait, the cliff, the drip 🍯 See your own timeline: #Tech #Vesting #Stocks #Recruiting #FreeTool #Builder #VibeCoding

@brucewayne18457 · X

Get years of Knowledge & prediction within seconds with IntegraX Predict Stock Prices upto 60 days suggest action,top insights Stocks recommender Compare stocks Top 5 stocks of day Visit IntegraXai looking for genuine reviews

@RelaXstartcom · X

Building a product that solves a real problem is step one. Step two is ensuring your early operational setup is actually legible to VCs. If you want to stress-test your setup and check your investor readiness, try this quick 3-minute diagnostic:

@AIWMCX1 · X

Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.

@BDNcontent · X

Every post in my LinkedIn timeline is about one of two things right now: 1) Github is the new necessity for marketers, and 2) Substack integrated Pangram to "combat AI slop." The first one is kind of cool, I made my own Github this week to publish the first tool I vibe coded on my own. The second one is kind of annoying because while some people already know AI detectors are almost useless, some are also hailing Substack as being forward-thinking and righteous for bringing down the big bad AI sloppers. What Substack did boils down to a marketing ploy. The hot trend in advertising/marketing right now is being anti-AI because a lot of people are sick of AI slop, understandably. But Pangram isn't a fix for anything other than the most generic one-prompt outputs, i.e., someone goes to ChatGPT and says "write me a long-form newsletter," and they copy + paste the output. That will obviously be flagged. If someone has a custom project or GPT they trained extensively,

策引 — 全球市场技术分析工具，可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能，可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。

@PickleCharts · X

Hey @Shakib2O1 Would love to talk to you about my SaaS project ! Drop me a DM

@Stemack · X

I vibe coded a sports capital tracker…would love your thoughts.

@PabloDevelops · X

making investmens easy

flreey · V2EX

模拟 btc/eth/sol 多空军沙盘效果 https://w3arb.xyz/ 其他地方看到的创意，我觉得很有意思，模拟币圈多军/空军对战场景 底部还可以发弹幕，聊天

@JoeTheCode · X

u/sebriz · Reddit

I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market