
ChurnSense — Know Who's Leaving Before They Do
ChurnSense predicts which B2B SaaS accounts are about to churn, 30-60 days before they cancel, using a machine learning model trained on your own customer data. Get Slack alerts an
@vedansh_builds · X
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ChurnSense predicts which B2B SaaS accounts are about to churn, 30-60 days before they cancel, using a machine learning model trained on your own customer data. Get Slack alerts an
@vedansh_builds · X

自动评分、分类和去重客户反馈以识别流失风险。
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.

自适应编程学习路径,从第一行代码到完成项目
@audaciousSneha · X
Part 2 of Loop Engineering vs Graph Engineering is out now. A hands-on-challenge on this concept will be available soon on

The ultimate LeetCode helper and visualizer. Master Data Structures and Algorithms with step-by-step visual solutions and structured interview roadmaps.
@vishwesh_shinde · X

Salable:基于 Stripe 的混合计费平台,处理定价、权限和团队访问。
@__orderandchaos · X

学习工作方式的AI助手,将任务分配给30多个前沿模型。
@otakuaakash · X

免费平台,提供500+编程挑战、学习路径和实时竞赛
@sumitkdevcode · X

用并行AI智能体构建全栈应用的开发平台
@Ajathinfotech · X
How do Ajath's parallel agents actually build full-stack apps in mins? Let you work with up to 10 specialized AI agents in parallel to eliminate traditional development bottlenecks. Try Ajath for free: #VibeCoding #NoCode #AIAgents

Vibe Coding Plan用AI驱动的规划,为每个任务推荐最经济的AI模型。
@Hanumliahzhra · X
vibecoding free tier Just discovered Vibe Coding Plan - AI-powered project planning that breaks down ideas into actionable tasks! Check it out

用Python或可视块构建交易机器人,进行回测并参与排行榜竞争,无需真金白银。
@CodeBullapp · X
Building CodeBull. A platform where you build trading bots with Python or visual blocks, backtest them on real-world market data, and compete against other users’ strategies. Zero risk. Just learn trading by building.

AI代码审查工具,在microVMs中运行代码以捕获更多错误。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

在浏览器中编写和运行代码,具有 AI 代码生成和自动修复功能。
@anish2good · X