theswerd · GitHub

brainless Claude Code, Codex, and Grok interfaces as shadcn components

@MathewsMat19207 · X

@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

@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

samcymbaluk · HN

Axiom toolkit – Make your ideas precise enough to be proven wrong

@ShahirSiddiqu13 · X

Memora turns everything you save into a searchable second brain powered by AI. Try it: 🌐 What would you save first? #BuildInPublic #SaaS #AI #Productivity

@its_mepius · X

@StevenJdotCom · X

One AI makes mistakes. Three catch each other's. AI Consensus runs your prompt through Claude, GPT and Gemini. They work it independently, then critique each other until they reach consensus — handing you an AI audited, combined answer.

PromptArk — 帮助用户优化提示词，用户输入简单的提示词，AI 辅助生成更结构化，更详细的提示词

u/Due_Load6189 · Reddit

I built a study battle app and need honest feedback Hey everyone, I’m a student building StudyClash, an app that turns practice questions into competitive study battles. You can try a deck, answer questions, get a score, see what topics you’re weak in, and use an AI coach to understand mistakes. I’m not trying to sell anything right now — I just need honest feedback before I show it to more people. Main things I want feedback on: Is the app easy to understand? Does anything look b

@propelio_app · X

Hey man, Building Propelio, proposals for freelancers Let’s connect!

@product_luke · X

Free roast, no signup. Reply with your landing page URL. I'll run it through -- 50 AI-simulated customers from YOUR target audience -- and post the verdict here: → score /100 → top objections → the single most brutal verbatim quote First 10 replies. Fair warning: 15% of the panel are hard rejectors. They don't do mercy.