Productivity1 month ago
لوحة المعلومات — مكتب أعضاء هيئة التدريس
Manage faculty members' data, ranks, promotions, and teaching loads in academic institutions.
@FalhdirA · X
Check out what I just built with Lovable!
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Manage faculty members' data, ranks, promotions, and teaching loads in academic institutions.
@FalhdirA · X
Check out what I just built with Lovable!
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
AI API platform offering faster and cheaper alternatives to Claude for developers.
@WebWrightAI · X
Free flashcards with spaced repetition to study Kubernetes, AI, Linux, and DevOps concepts.
Agoreddah · HN
I built Gnoseed – free flahscards to learn K8s, DevOps, AI and more
Photograph math equations and word problems to receive instant solutions with step-by-step explanations.
@7spiritz · X
Check out what I just built with Lovable!
Analyze crypto markets using algorithmic analysis and on-chain intelligence for trading insights.
@luxquantcrypto · X
Semantic caching reduces LLM token costs and latency for AI queries.
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]
API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复
Compare AI coding models on real tasks with live previews, cost tracking, and ELO rankings.
@intheworldofai · X
On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.
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. *
Route AI coding tasks to the cheapest capable model based on estimated complexity.
@viiforwinn · X
Hey, let's connect! 🚀 I got tired of the manual grind (picking Claude models, checking diffs for secret leaks, and guessing agent parallel counts), so I automated all three. Built kodemux—it's completely free and open source:
Create business proposals with templates, e-signatures, and analytics.
@propelio_app · X
Hey man, Building Propelio, proposals for freelancers Let’s connect!