完整作品展
技术栈
30 projects
为现代团队自动化负载测试，无需复杂设置或手动脚本编写。
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional
免费批量URL缩短工具，支持自定义别名、过期日期和实时分析。
@Kamaralamkhan_ · X
Just launched 🚀 It’s a lightning-fast, privacy-first bulk URL shortener that lets you customize, track, and manage hundreds of links instantly. Completely free. Built with Laravel 12. Check it out and let me know what you think! #buildinpublic #SEO
自动从网页提取表格和数据，一键导出为Excel或JSON文件。
Scrapilot — AI 爬虫插件，零代码采集任意网页数据，运行在真实浏览器中，天然抗反爬，支持定时自动化工作流
请求附近的货车和厢型车驾驶员搬运大件商品和个人物品。
@waris_oloyede · X
A logistic solution to drivers and users
检查你的简历是否通过ATS系统筛选，获得优化建议。
@Patryk597153122 · X
Stwórz profesjonalne CV i sprawdź, czy przejdzie przez systemy ATS 👇 Zwiększ swoje szanse na znalezienie pracy
Compress LLM prompts and docs to reduce token usage and API costs.
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️
在一个工作区中规划、制作、审查和发布创作者内容。
@DaiwikShashi · X
Building Scribur — the operating system for in-house UGC teams. We help in-house teams manage campaigns, content ideas, scripts, submissions, revisions, approvals, creator communication, and performance tracking all in one place.
用自然语言问题查询电子表格和数据集，生成即时答案、报告和仪表板。
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav
用 RAG 技术研究调查最新的诈骗骗局。
u/King_Kazma · Reddit
whatsthegrift.com - a RAG research tool for today's grifters every day i feel like there's a new grift attached with some news article, which naturally birthed the idea to built something to investigate & visualize them examples: https://whatsthegrift.com/q/777063a64e512565 https://whatsthegrift.com/q/e5945d20375ed3ff and my personal favorite so far: https://whatsthegrift.com/q/f43eb30a15342d53 react (vite) + node (fastify) + brave search (retrieval) + claude haiku (extraction)
搜索YouTube频道字幕、研究内容效果、构建视频剪辑。
@johncalvo · X
Built an entire YouTube research platform with @AnthropicAI Claude Code. a YouTube research tool that treats entire channels as a searchable transcript database rather than individual videos. Any YouTube channel. Every word. Fully searchable. Track how topics trend, peak, and evolve across hundreds of videos. Researching what someone said on YouTube means watching hours of footage and hoping you find it. ChannelScout extracts full transcripts from any channel, makes every word instantly searchable, and tracks how topics trend over time, without watching a single video manually. Paste a YouTube channel or playlist URL and it transcribes and indexes every transcript. Follow multiple channels and they all land in one private library. New videos on followed channels are auto-transcribed and added to your library the day they publish. Beyond YouTube it accepts any yt-dlp-supported URL including Vimeo, TED, and SoundCloud, and you can upload local files directly
