Developer Tools1 month ago
Zuvio Atlas — AI-Powered Server Monitoring & On-Call | Free Trial
Monitor servers with uptime checks and on-call escalation powered by AI root-cause diagnosis.
@iamjackwiz · X
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18 projects
Monitor servers with uptime checks and on-call escalation powered by AI root-cause diagnosis.
@iamjackwiz · X
Build AI image analysis workflows for labs without writing code.
mfisc_019 · HN
Countify – Collaborative No-code computer vision for labs
Generate test cases and scripts automatically from requirements.
@SEOexpertpkk · X
AI-Driven Test Automation Platform
AI-powered price forecasts for stocks, crypto, and commodities with calibrated probabilities and backtested accuracy.
@iqbal_saqi2522 · X
- An AI-based Prediction System
Automate your faceless channel and generate viral TikToks, YouTube Shorts, and Reels in minutes. Advanced AI Video Dubbing, Image Upscaler, and Background Remover.
@dimnaii · X
Diagnose your skill gaps and get a personalized AI learning path in your field.
u/safi1409 · Reddit
Instead of asking "what should I learn next?", I built a tool that diagnoses your actual gaps and tells you One pattern I keep seeing here (and had myself): you're learning a field - say backend development or ML - and at some point you don't know what you don't know. You've done tutorials, watched videos, maybe built some projects. But you can't tell if you actually have real understanding or just surface-level familiarity. I built a free tool called Cascade AI that tries to solve this.
Debug and monitor AI agents with real-time visualization and performance analytics.
@simranrambles
One bundle. Three independent judges. Reproducible rankings.
@Imranmohsin18 · X
sites I’m working on: Please check out and give me feedback all are public showcasing my skills :D ( not selling anything atm )
AI scans competitors and market data to validate if a startup idea is worth building in 90 seconds.
@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.
Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams
Autonomous LLM-driven penetration testing console for security assessment.
Autumn-27 · GitHub
ARTEX AI 自主渗透测试系统
Audit AI-built applications for security vulnerabilities and receive proof of findings.
u/mrtrly · Reddit
I asked ChatGPT 20 different ways who could fix a half-built app. It never named my company once. I do codebase rescue for founders in exactly that spot, so that one stung. There are already plenty of tools that measure this kind of AI visibility, a CDN even ships one free, so I built mine mostly to see my own number, and it confirmed the bad news: near zero. The measuring turned out to be the easy part. What none of the tools do, and what I actually care about, is the fix: getting the mode