
SlopSift — An NLP linter for AI writing tells
粘贴文本以检测AI生成的写作特征。
NikhilVerma · HN
Slopsift – a local, graph-backed linter for AI writing
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粘贴文本以检测AI生成的写作特征。
NikhilVerma · HN
Slopsift – a local, graph-backed linter for AI writing


上传研究论文PDF,获得AI生成的摘要、方法论和演示大纲。
u/SarmadZaman · Reddit
I built ResearchMate AI — a free AI research tool and welcoming honest feedback I had been working on a small project called ResearchMate AI to make parts of the research process a little easier with AI. It’s currently free to use, and I’ve made the source code available on GitHub. Live demo: https://researchmate-ai-nine.vercel.app GitHub: https://github.com/sarmadzaman2005/researchmate-ai I’m sharing it here mainly because I’d like to find out whether the idea is actually u

分析文本以识别 10 种有毒和 7 种健康的沟通模式。
@WEreFrame · X
Underrated...well I wouldn't say that because I'm just starting, but overlooked maybe. The impact on humanity will be noticed across the globe. Stop reacting. Start reFraming.

分析视频以识别发布前的内容风险。
@ShadowGuarg · X
ShadowGuard analyzes video frames, on-screen text, and visual signals so you can review potential issues before your video reaches your audience.

发现关键词缺口,获取页面优化建议和AI生成的文章草稿以提升SEO排名。
u/SuccessfulChocolate · Reddit
Built a tool that tells you exactly what to write next for SEO and how to actually rank. I need your feedback. Hey folks, I'm building a SaaS to find keyword gaps competitors rank for and you don't, unclaimed keywords nobody's targeting yet, and fixes for pages you already have (quick wins near page one, snippet-ready pages, CTR gaps, pages losing traffic, cannibalization, backlink gaps). Weekly batch of these, one-click draft any of them. I genuinely want your feedback: does this logic h

探索语言模型如何解释和处理文本的交互式平台。
belluxx · HN
Nanointerpret – LLM Interpretability Playground

输入商业创意,Marketur 分析竞争和市场需求给出评分。
@strode44 · X
I built a tool that will show you that your startup project or business idea sucks. Free to use it.

用自然语言查询电子表格和数据集,实时生成答案和报告。
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

分析产品的市场契合度和增长瓶颈。
@teslaptimus · X

Agnost AI 为对话代理提供产品分析,捕捉无声失败和用户痛点。
garrytan · Product Hunt
Agnost AI Catch agent failures your evals miss

AutoDocParse extracts structured data from invoices, receipts, and business documents with AI confidence scoring, review queues, webhooks, and team workspaces.
@robingeekydev · X
I'm a solo dev and I just launched something I'm genuinely proud of 🧵 — AI document parsing with confidence scores Here's the problem it solves: Every day, finance & ops teams manually re-type data from invoices, receipts, and purchase orders. It's slow. It's error-prone. And it scales terribly. AutoDocParse lets you: → Upload any business document → Get structured data extracted by AI instantly → Review only the fields the AI isn't sure about → Push data anywhere via API or webhook Built this as a solo dev. Would mean the world if you tried it 🙏 👉 — 20 free parses/month