@gududubey · X

u/Busy-Profit1350 · Reddit

[Web Beta] I built an AI interview-practice app—looking for honest feedback from job seekers - intervu.ca I built Intervu , a web app that creates practice interview questions based on your resume and the job posting you’re applying for. You can answer the questions at your own pace and then receive AI-generated feedback on your responses. The goal is to make interview practice more relevant than working through the same generic questions for every job. This is my first AI-powered applic

strickvl · HN

A searchable, timestamped index of 1,124 AI Engineer talks

@NeuralArchitec · X

Vibe coding a smart wallet is high-stakes. One logic gap and the funds are gone. We bridge that risk by turning messy vibe thoughts into verified schemas and API maps. Build fast, stay precise. 🏛️

@DD_Ferel · X

We built IntelliBase AI: a smart knowledge base that "learns" directly from your company's own documents, so HR & Ops teams can ask questions naturally instead of digging through files one by one. 🌐 Interested in trying it for your team? Comment or DM us

@auditormusic19 · X

Building iGrow, an AI roleplay app to practice high stakes conversations before they happen. Check it here:

MediaSquirrel

@getscreenready · X

u/Radiant_Freedom9451 · Reddit

Building a resume-tailoring micro-SaaS taught me that more features can weaken the product I’m the founder of ApplyBoost, a small SaaS for tailoring resumes to individual job descriptions. While building it, I made the classic mistake of thinking that every related feature would increase the product’s value. I added: AI resume tailoring ATS scanning Keyword matching Bullet rewriting Resume templates Application tracking Follow-up guidance Interview preparation Techni

@emilsnotes · X

Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig

@WrRbybw84381 · X

benmarhol · Product Hunt

AskMyTuto Turn any YouTube tutorial into an interactive AI mentor