@aishwary07jain · X

facundobon · HN

Verdict – AI hiring verdicts where every score cites the CV verbatim

Voyagard — AI 学术论文编辑器，有 AI 编辑，一键查重降重，AI推荐文献索引等功能， 帮助你完成从选题调研，文献索引并管理， AI协助撰写等功能，帮助你轻松完成论文撰写

Xaminix

AI Powered Answer Evaluation for CA/CS/CMA

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

@MUKULSINGH5906 · X

🚀 Just shipped Apna Interview! An AI-powered platform for: 📄 Resume Analysis + ATS Score 🎯 Job Matching 💬 AI Interview Prep & Feedback 🔗 💻 #BuildInPublic #AI #NextJS #FullStack

@AsDavidi3g5 · X

Check out what I just built with Lovable!

@fedeponte1 · X

my first saas. i think i built something people actually want and completely failed at the business side. would genuinely love help. openpaper ( writes full, cited research papers from a prompt. research, outline, writing, real citations, export. the honest numbers: - ~2,300 signups - ~1,500 generated a full paper. people actually use it. - ~5 have ever paid. ~$45/mo. activation is great, revenue is basically zero. i've been staring at this for weeks. the paywall is on export (pay ~$12 to download the pdf). but the full cited paper is right there on screen, free, you can read it and copy-paste it. so i'm charging for the gift wrap after handing over the gift. almost nobody even reaches checkout. 76% generate exactly one paper and leave. one-and-done, so subscriptions make no sense. the audience is mostly students and researchers on personal gmail, all over the world, almost none on university or company emails. traffic is x and github. so i genuinely can't tell

@AadyaAI · X

Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.

@harryjwang · X

I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

@qurative · X

vibe coded a landing page for seo and shit, will fix it later focusing on adding features to the dasboard

@clawncore · X