The full gallery
Tech stack
33 projects
Jira plugin for managing test cases, requirements, and execution with traceability.
@pakosteve · X
Improve your SaaS quality when scaling (by register requirements and test via MCP)
The most intuitive project management platform for modern teams. Track builds, manage tasks, and collaborate seamlessly.
@MeetMuaz · X
Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X
Discover how competitors launched by tracing mentions across 12 sources with dated links.
@JacobGorAI · X
花了大约 3 天，用 Claude 把 做完上线了。 这次的UI 完全放开让 Claude 自己决策，结果审美完全在线，说实话还是挺让我惊喜的。 产品 idea 来自我自己的痛点。我手上跑着几个 AI 产品，每次上新品前都要做同一件事：翻竞品的外链、Wayback 快照、Reddit老帖，拼凑出它们冷启动的路径。每次都要烧掉几个小时，而 SEO 工具从来不回答这个问题。 Tracetify 把这个过程自动化了：贴一个竞品 URL，聚合 12 个公开数据源，还原出带时间线的冷启动路径，每条结论都挂着带日期的原始出处。 竞品调研从几小时压到 2 分钟，省下的精力全部投回产品本身。
Checks apps for production-readiness issues like security, functionality, and reliability.
u/jjd921 · Reddit
Production readiness checker With AI coding and the low barrier to entry now I see a ton of people publishing apps with serious issues. I tried to build something to help with this. It’s a tool that checks apps for production-readiness issues (security, functionality, reliability, accessibility, etc.) and creates a GitHub PR with the fixes. Automatic scans on every push/PR and deterministic auto-fixes are completely free. Do you see something like this being useful?: https://theslopstopper.c
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
Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams
Monitor status and metadata-based problem signals for AI tools.
dobby_lee · HN
Open-Source for AI tool status checker
Generate production-ready specs from a project description: PRD, requirements, architecture, and roadmap.
@satulipa_ · X
My workflow: 1. Open Speckit → answer 5 questions 2. Get blueprint (PRD, DB, API, roadmap) 3. Take it to Cursor/Claude Code 4. Vibe code with actual direction Built with Next.js, Vercel, try it on
Analyze Python code across 14 quality dimensions to detect violations and measure capabilities.
@KSFirasa · X
Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!
Track your learning progress and project development as a developer.
@Dev_code_04 · X
Audit your AI app for security, privacy, and governance readiness.
u/Budget_Lawfulness_33 · Reddit
I made a tool that bridges the gap between vibe coding and actually knowing what you shipped A lot of people are shipping things they don’t fully understand anymore. With the new flagship models such Claude/Codex and people spending hundreds on AI subscriptions to build faster, apps are being shipped quicker than ever. But when you’re constantly throwing prompts at AI, adding features, and moving fast, it’s easy to lose track of what actually made it into your codebase. So I built: https
