DITING
谛听 DITING：LLM 驱动的自主渗透测试工作台，Go + Next.js + PostgreSQL，基于 ARTEX（AGPL-3.0）
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GITHUB · launched Oct 11, 2026 · 67 upvotes (top 21%)
- Security
- Agent / copilot
- Developer
- AI-native
- Hobby / open-source project
Similar launches
See all 114 similar launches →Could you build this?
Partial The Go and Next.js workbench and LLM orchestration are vibe-codeable, but dependable autonomous penetration testing requires security expertise, safe tool execution, and rigorous evaluation that vibe coding alone won't supply.
What it would actually take: Architecture would be a Go backend orchestrating an LLM agent loop, scanner and exploit tool wrappers, a PostgreSQL store for findings, and a Next.js UI. The hard parts are reliable, scoped agent behavior with guardrails and the quality of findings, which need real offensive security expertise and authorized test environments to validate.
Competitors
Other products that read as similar to this one : 114 launches clear the similarity bar, closest 8 shown.
Attention rank: #19 of 115 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 313 days after the earliest competitor.
- toolkit · github · 2026-10-20 · 15 upvotes · similarity 0.46
- ARTEX · github · 2026-10-08 · 10 upvotes · similarity 0.44
- ARTEX · github · 2026-10-08 · 723 upvotes · similarity 0.43
- YiYan · github · 2026-10-15 · 68 upvotes · similarity 0.43
- Dbctx · hn · 2026-08-11 · 5 upvotes · similarity 0.42
- uni-llm-bench · github · 2026-09-14 · 11 upvotes · similarity 0.40
- artex-ko-plus · github · 2026-10-09 · 173 upvotes · similarity 0.40
- artex-ko · github · 2026-10-03 · 230 upvotes · similarity 0.39
Other launches for this product
- No other launches for this product.
More details
- External ID
- 1413996711
- Company
- n/a
- Product
- DITING
- Website domain
- github.com
- Cohort
- n/a
- Upvotes percentile
- 0.79
- All tags
- n/a
- AI summary
- autonomous penetration testing platform for security professionals
- Manually corrected
- No