
Image Prompt Generator | Free AI Image Prompt Generator
为不同的AI图像生成模型搜索和筛选优化的提示词库。
@MaynorAI1 · X
我做了一个 AI 图片提示词生成器: Image Prompt Generator 它不是普通 prompt 列表,而是一个支持模型切换、搜索、筛选、作者署名、图片预览的 AI image prompt library。
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为不同的AI图像生成模型搜索和筛选优化的提示词库。
@MaynorAI1 · X
我做了一个 AI 图片提示词生成器: Image Prompt Generator 它不是普通 prompt 列表,而是一个支持模型切换、搜索、筛选、作者署名、图片预览的 AI image prompt library。

Auto-fix production bugs,获得 AI code reviews,每个 PR 都有严重级别评分
@akshay_nocode · X
Not exactly — Sentry captures errors, BugOps acts on them. It reads the Sentry alert, checks recent commits, traces root cause, and opens a fix PR. Think Sentry as the sensor, BugOps as the on-call engineer that never sleeps.



通过端到端加密链接分享代码、笔记、脚本和AI上下文。
@parrotwiki · X
one url. everything they need. code, notes, scripts, keys. end-to-end encrypted. 🦜

FeedLog是开源AI反馈工具,免费收集和管理用户需求。
@kngkng182542 · X
If you're paying for Canny, give FeedLog a look. Same workflow for collecting feedback and managing feature requests, but free during launch.

用你的LLM API密钥分析Hacker News公开个人资料。
Topfi · HN
Like everyone on HN, I love nothing more than to (re)read my own comments. Getting my intuition that I am among the smartest, most humble, highest quality commenters on here confirmed by an LLM so capable that the US government had to temporarily export restrict it [0] seemed only natural. Having had my perfection confirmed, I decided to share this joy with you as I had a few percent usage left before a reset. I took a few prompts, then did a review of the output which resulted in Selbstbild, a BYOK (Anthropic / OpenRouter) web app that gives you a summary and assessment of your public comments by one of our machine Gods, including Fable 5 (provided your can afford that luxury at API pricing). In all seriousness, I have, for a long time, used my own comments on social media (including HN) as part of a personal needle-in-haystack test, simply because I do know my somewhat peculiar style and what I tend to write, but also because I can sometimes write in a slightly confusing manner, ma

Tradovate AI 风险管理,根据您的风险规则自动阻止订单。
@SanuCodes · X
still building-

为团队和应用安全管理密钥与环境变量。
@radimhfer · X
i'm founder of Stashbase, designed to help builders

检查 RAG 块并可视化 AI 代理工作流、内存架构和执行轨迹。
@Higgs0110 · X

捕获UI元素及其代码上下文,与AI代理分享以调试视觉缺陷。
Loerei · HN
I found that describing where a broken UI is and taking screenshots for AI agents really sucks. I’m too lazy to explain an indescribable visual bug or capture a millisecond-long flash. I also don’t want to remember which file defines an element, whether it's right in the .tsx or a problem with the Parent Styles in .css. And even if you can point out the exact file, your agent still has to dig through thousands of lines of code to know what on earth you're yapping about. In a 7700-file monorepo like Cal.com, simply giving the right file in the prompt for your agent saves about 68.9% of execution time and 94.2% of the tokens your agent needs to digest. HoverSource gives all the needed information and further pushes it to -88.5% time and -94.5% tokens, basically skipping the entire digging session and jumping straight to reasoning and executing. The save is linear to how big your codebase is. I want to save tokens, but don’t want to spend my time and energy digging manually, and a junio

简历检查和AI职业测试工具,评分您的工作安全指数及自动化风险。
@_b_meet · X