
Scheduled jobs, monitoring, and client-ready reliability · CronClaw
@lightsilver323 https://t.co/Gc6MNoDSgy
@GorewadaGroup · X
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@lightsilver323 https://t.co/Gc6MNoDSgy
@GorewadaGroup · X

Inslit 是 UX 研究平台,运行调查和可用性测试来收集用户洞察。
@inslit_ · X
Check out our User Research and testing platform: We have opened registrations for our testers. So go and be a tester at Inslit and get rewarded for your work.

为订阅业务提供AI驱动的留存智能。
@cobraisystem · X
Manual retention can’t keep up with your acquisition - sees the slip, forecasts the churn, and triggers the save that keeps your growth compounding.

@CricTalk29 https://t.co/wWE5v5hcRl
@arush_shar17296 · X

通过逐日重放股票崩盘来测试投资纪律
u/G1a9b9r9y · Reddit
I built a tool that shows if you would've panic-sold during a real market crash Weekend project: a test where you relive a stock's worst historical crash day by day, and decide whether to sell or hold at each point. At the end it shows how much return you'd have left on the table by panic-selling vs holding. Posted it on an Italian finance sub first — got genuinely useful feedback (turns out showing the ticker upfront made it too easy to guess the outcome), so I just shipped a v2 where the

检查 Cloudflare、Vercel 和 OpenAI 的实时故障状态,确定问题是否来自上游。
u/alex13h · Reddit
How do you determine if the problem is in your code or in your infrastructure? With the latest Cloudflare incident fresh in mind, I found myself wondering about the existence of a tool to help determine whether the bug is due to your own application or whether it is an upstream provider’s fault. That’s why I built the very basic prototype which aggregates incidents from popular providers, and attempts to extract affected regions, affected components, severity and timelines of

检查和调试 AI 智能体,逐步识别它们的失败位置。
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step

AI智能体24/7监测收入、流失率和增长,自动修复问题需一键批准。
@AyombaRudi · X

CoBro 用 AI 扫描竞争对手和市场数据,90 秒内判断初创企业创意是否值得构建。
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.

创建模拟投资组合,进行策略回测和AI市场分析。
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。

获取汽车、卡车、船只和HVAC的AI诊断报告,了解维修需求。
@AsphaltCowb0y · X
My trucks kept breaking. That’s the origin story. No garage, no shop room. A fleet of semis that wouldn’t stay running, and me trying to figure out why before the repair bills ate the month. So I built with Claude Code. It worked. Then I hit the wall every builder hits: I needed more compute than I could afford. Started Intent Solutions IO LLC, got accepted into the Google Cloud startup program, and got a pile of credits. Sat on them for months because I didn’t want to burn them on something dumb. Then Claude Code plugins shipped. Then skills. I bought for twelve dollars. Twelve. Then Anthropic shipped skills, so I grabbed Then Cowork, so I grabbed that one too. All three now point at I was still driving to make the bills. Kids’ soccer doesn’t pay for itself. Still driving today as I type via voice to text. Today that’s 470 plugins, 3,068 agent skills, 347 agents, 49.9K installs, 2,593 sta

使用 Claude Code 工作流从终端发布 AI 生成的计划
@discorev · X
I've been working on - Using gpt-5.6-sol and Fable in Claude Code via CLIProxyAPI. I've found using these two together with Claude Code Workflows is a killer combination