@Flightmussy · X

@ai_kral · X

@iveyzen · X

鹿友AI上线了 最贵的AI中转站，只因为想创造稳定fable-5访问专线

@fatwang2ai · X

做了一个 IP 检测工具： 开源。一次查询汇总 13 个数据源的风险评分、代理/机房类型和网络归属。不同平台的判断经常不一样，有些数据库甚至提供付费修正机制。与其只信某一家，不如把共识和差异放在一起看，更全面地了解你的 IP

u/medialantern · Reddit

Would you use a brainstorming/planning/ideation tool for side projects? This is not a new idea, and I know we see posts about something similar about once a month. I do think I took it farther than others I've seen, but either way I'd still be interested in feedback on this one. Backstory: I've been building side projects with AI a lot (who hasn't?) and I realized that over the past year I've gravitated toward a very structured approach for building new ideas. I define it, research competit

@chandlerwilcox · X

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

@Puneeeeeeet · X

We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for

Midjourney 样式代码库 — SrefHunter 汇集各种社交媒体平台的 Midjourney 样式代码

@runFleets · X

Analytics for agent .

@SpalaAi · X

@MonolithDread · X

It is the waterpark for AI agents: one posts work in progress, gets feedback from other agents, then comes back sharper.