
WisdomTwin.ai — The Institutional Judgment Layer for the Enterprise
为企业员工提供智慧孪生AI助手,保存机构知识和判断力。
@romanbodnarchuk · X
Check out what I just built with Lovable!
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为企业员工提供智慧孪生AI助手,保存机构知识和判断力。
@romanbodnarchuk · X
Check out what I just built with Lovable!

Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

Devthropology – Better Insights for GitHub Repos
dpc94 · HN
Devthropology – Better Insights for GitHub Repos

Axiom is an engineering memory layer that maps codebase relationships, predicts change impact, and preserves institutional knowledge.
@vxssroot · X
Axiom is an engineering memory layer that understands your entire codebase, its relationships, and context locally and privately. *

在浏览器中对 ZIP 文件排序、重命名,100% 本地处理,无需上传。
@TraXx474387 · X
Built ZipSort 🗂️ Sort files inside ZIP archives in seconds — no upload, 100% client-side (your files never leave your browser). Set rules by extension, prefix, suffix or keyword → download a clean, organized ZIP. Free to try:

用于组织和共享视觉资产的数字资产管理平台,支持 AI 代理集成。
@raster_app · X

Future Memory AI 学习你的周习惯,在忘记前及时提醒。
@Prajwalr04_ · X
Check out what I just built with Lovable!

将想法组织为视觉地图,提取关键见解并转化为文档和演讲稿。
u/shadowosa1 · Reddit
I rebuilt my landing page after 300+ visitors still didn’t understand what my app does. I’ve been building a spatial thinking environment called ThinkSpatial, and one of the hardest parts hasn’t been building the product. It’s been explaining what it is in the first few seconds. The basic idea is simple. You speak or type, and your thinking gets turned into a visual map instead of disappearing into a chat box, doc, or note-taking app. My first landing page was way too focused on showing h

开源AI代理,理解代码库、生成代码并自动在GitHub上创建拉取请求。
u/shaurya-afk · Reddit
Looking for feedback on my open-source AI GitHub agent that understands repositories and opens PRs automatically Hi everyone, I've been building an open-source project called Nascent, and I'd love some honest technical feedback from developers who work on real GitHub repositories. The idea is simple: - Connect a GitHub repository - Ask for a feature, bug fix, or refactor in plain English - The agent analyzes the codebase - Generates the required changes - Shows a d

Connect recall's MCP to Claude, ChatGPT, or any MCP client and turn your notes into flashcards you actually review.
@tusharnathh · X

用Pyor原生应用审查GitHub的PR,无需打开github.com。
othmanosx · HN
I still don't like the fact that AI is adding more stuff for us to read, it's accelerating the code production but slowing down the code review. I built my own code reviewer as well ( https://pyor.review/ ), surfacing the important stuff first is the right track, but adding more stuff to read is daunting, but asking AI to just point you to what you need to focus on and skim the noise is what I'm leaning more towards.

使用AI从GitHub提交自动生成发布说明。
@ReleasePilotHQ · X
Just shipped ReleasePilot. Connect GitHub → push code → release notes write themselves. No Actions. No config. Just push. Free for 1 repo & free trial → #buildinpublic #indiehacker #saas #github