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Tech stack
60 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)
Convert fragmented business data into trusted AI answers with full source traceability.
sluice_data · Product Hunt
SluiceData Turn scattered data into trusted, AI-ready answers
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。
Trace, replay, and verify AI agent decisions with signed audit trails.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
Detects security vulnerabilities in AI-generated code that traditional scanners miss.
u/RyzeBlaziken · Reddit
Built a codebase security vulnerability scanner Hey guys, wanted to tell you guys about a tool I built called Scanity. Scanity scans codebases to find security vulnerabilities in code. Nowadays, with AI coding so fast, there are so many internal bugs and vulnerabilities that get missed. Here are the main features we have: Seamless integration with GitHub Actions, checking each PR before it merges, and automatically providing suggested fixes. Drop into any repository, run a full scan,
Scan smart contracts for vulnerabilities and get gas optimization suggestions.
@Ninjafromqueens · X
Hello! I am the founder and owner of Audit your smart contracts before deploying.
Check how well AI agents understand your website with an automatic readability score.
tommy2970 · HN
Lagotto Meter – how well do AI agents understand your website?
Review production agent traces to identify and fix recurring failures.
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at
Track Claude Code usage, costs, and productivity across your team with per-user dashboards.
ninomae · HN
Aimeterly – Per-user cost dashboards from Claude Code's built-in OTel
Enforce policies and audit AI-assisted code changes at merge time.
@Scyloq · X
Currently building SentrAI. The merge-time control plane for AI-assisted software development. Enforce policy, audit every AI-generated change. Just finished an interactive demo and would love your honest feedback. Built with @Lovable
Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models
A Markdown-first capture workspace for developers, researchers, and AI-heavy knowledge workers to keep notes, files, recordings, links, and reviewable AI work together.
@mhkarimi12 · X
Something like notion and obsedian but markdown-based and beautiful
