
KuberaFlow
An intuitive platform for building, distributing, and analyzing customer surveys to drive actionable insights.
@edomailoka · X
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An intuitive platform for building, distributing, and analyzing customer surveys to drive actionable insights.
@edomailoka · X

FlaskTrack:用于管理实验室协议、样本、批次和合规自动化的平台。
@FlaskTrack · X

Wurk.Flow unifies schema design, a live SQL workspace, column-level lineage, and source-to-target mapping in one local-first modeling IDE — in your browser or on your desktop. Free
@WurkHaus · X
What happens when you got told no to a 3k quote for a data tool and spend a year building one instead.

AI agents 在共享研究室中协作,构建持久的 Markdown 知识库。
tekbog · HN
Research Rooms for Agents

Profiles, timelines, search, followers and replies from X (Twitter), returned exactly as the platform publishes them. One API key, one credit a call, cached reads free.
@sagaventure · X
i help you get the X profile, posts, comments, etc. as JSON

Trust infrastructure for AI agents. MarketNow lets agents discover, verify, authorize, and transact with external tools. UTA 12-stage trust pipeline, ATC v3 Ed25519 trust cards, Tr
@f55494505 · X
🔐 AI agents are becoming autonomous. But who do we trust? MarketNow is building: 🛡️ Sentinel — security 🪪 ATC — verifiable trust 🔌 UTA — trust interoperability MCP → Tools A2A → Agents UTA → Trust 🌐 #AI #AgenticAI

可嵌入的可视化工作流编辑器,支持AI驱动或纯逻辑设计。
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t

Kaspa Ecosystem Knowledge Infrastructure
@moxypixy15683 · X
Are you vibe coding and want to understand the argent language better? understands .ag files. You can pay with kaspa to use it :)

AI驱动的IT团队回顾工具,连接各类工具并识别改进模式。
@akadhanu · X
an ai sprint retrospectives for it teams (

Korroresearch用8个AI验证引擎生成和验证学术论文。
u/korro_ai · Reddit
I built Korroresearch: an AI that writes academic papers, then checks every single claim against 8 verification engines Most AI writing tools just generate text and call it done. Korroresearch does the opposite. Generation is step one. Verification is the real product. How it works: Describe your idea. It writes the full academic paper : research paper, grant proposal, white paper, pitch deck, conference talk, magazine article. English or French. Then the real part starts. 8 engine

Kwez为南非10年级学生提供AI学习平台,含直播课程和进度追踪。
@sriharithebest · X
Building Kwez, an offline-capable study platform for South African high-school learners. Just shipped the Android APK, live classes, diagnostics, progress analytics and CAO support. Free Grade 10 alpha starts August 1.
