
DocuCommit · Docs as Markdown in your Git · No database, no lock-in
Store documentation as markdown in your Git repository with no database or lock-in.
@alizreim · X
Documentation that lives in your own git repository
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Store documentation as markdown in your Git repository with no database or lock-in.
@alizreim · X
Documentation that lives in your own git repository

Generate software architecture, APIs, and database schemas from text descriptions using AI.
@LandDebbarma · X
🚀 AI that turns your idea into production-ready system architecture in seconds. Build faster, design smarter.

Generate code documentation automatically on GitHub pull requests.
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests

Create professional business documents by speaking.
@torgimaOS · X
Voice to any document in 30 seconds

Build manufacturing quality documentation kits without tier-1 supplier overhead.
@TheCuneginGroup · X
Vibe coding ships a thousand prototypes a week. Most die before a supplier sees them. Specvault's $19-59 kits are for the survivors.

Interactive glossary of technical terms to help developers communicate with AI.
@I_am_oil_oil · X
最近 Vibe Coding 术语网站 做了一个小更新,之前有用户反馈卡片信息密度太高,比较难找到自己想要的术语。 于是我做了一些小调整,把卡片里原本的吧别名和小标签都移除了,加大了每一个卡片的标题字号,对应的英文术语调成主题色并且也加大字号。 我觉得一个最棒的调整就是将原本用于解释这个术语的描述,直接改为大家可能会去跟 AI 描述的话,比如鼠标的 hover 效果,它的描述: 修改前: “悬停是鼠标指针停在元素上但尚未点击时出现的交互状态” 修改后:“鼠标放上去的时候按钮变个色,让人知道它能点。” 经过这次修改,我自己能感觉到每一个术语在列表页上看都更加直观了,而且第一次访问可能会更有共鸣。 除此以外产品和后端相关的术语我也补充了更好的交互图解,相比干瘪的文字能够更好的让大家快速理解~ 下一步可能会做很棒的 AI 搜索功能了,目前大家如果要更方便的使用可以先用 vibe-hub 的 skill: 这个 Skill 可以让 Agent 获取网站里的任何信息。

AI drafts documentation for your codebase; your team edits and publishes via Git commits.
linktothenew · HN
Docs.dev – A docs site you own, where AI drafts and you edit in place

Cache and reuse deep research reports to avoid re-running expensive research queries.
u/illerminati · Reddit
Caching Deep Research Output Hi r/SideProject . Just sharing a side project I've done in the recent weeks that I think might be useful for some. I use deep research at work to understand unfamiliar software domains, and in my personal life to compare products before buying them. I can’t use my company's LLM for personal use, and the publicly available deep-research products (like Claude and OpenAI) are too expensive for my taste, so I built a DeepSeek-powered alternative. The pipeline s

Organize your tools, workflows, and resources into one accessible workspace.
@mj_jimmi · X

Capture project meetings and documents to automatically generate stakeholder-ready deliverables.
@reqifyai · X

Convert supplier catalogs from PDFs and scans into clean, standardized product data.
fouadhalawi · HN
Location: UK company (MicroCity Solutions Ltd, reg. 17103353); I work remotely from the Middle East (UTC+3) Remote: Yes, B2B — you contract the UK company, no payroll or employment friction Willing to relocate: No Technologies: Python, PHP, SQL (MySQL/PostgreSQL), FastAPI, LLM integration, RAG, OCR / document data extraction, automation pipelines, Shopify & WooCommerce APIs Résumé/CV: https://microcitylabs.com (two live SaaS products — try them on your own files) Email: [email protected]

Describe a circuit in plain English and get validated firmware, wiring diagrams, and parts lists for Arduino/ESP32 projects.
@Rudra_127 · X