
Change, Try On & Swap Outfits with AI | OutfitSwap Studio
Try on and swap outfits in photos with four AI clothing tools.
OutfitSwap Studio — AI 换装 / 虚拟试衣工具,支持 AI Clothes Changer、Virtual Try-On 和 Outfit Swap,上传照片即可生成换装效果
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Try on and swap outfits in photos with four AI clothing tools.
OutfitSwap Studio — AI 换装 / 虚拟试衣工具,支持 AI Clothes Changer、Virtual Try-On 和 Outfit Swap,上传照片即可生成换装效果

Analyze Reddit, HN, and App Store feedback to validate your startup idea.
@daicandev · X
Building proven, the tool that gets your product from idea to growing income

AI-powered security auditor that scans GitHub repos to find vulnerabilities and suggest fixes.
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th

Check AI-generated outputs for errors and security issues before shipping to production.
u/Brief_Dust8845 · Reddit
I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b

Generate seamless patterns and textures from prompts or images, then export them.
Seamless Canvas — AI 无缝纹理生成器,通过文字描述或上传图像生成可平铺纹理 - [更多介绍](https://seamlesscanvas.com)

Test your app across devices and browsers to catch bugs automatically in minutes.
@vibe_and_go · X

Sports betting analytics with +EV fair-value checks, projections, and bet tracking.
u/sweetnessssss · Reddit
Nine months ago I quit my data science job to build an app. The app is still hungry. Nine months ago I left a comfortable data science job at a travel company to build a sports betting app. Comfortable is and odd word for a job - it means the money arrives on schedule and nobody in your family asks if you're okay. The app is called THE LINEUP ( https://thelineup.pro/ ) -- it does the unromantic parts of betting: comparing prices, working with projections and tracking what happened afterwar

Reviews AI-generated code to detect architectural drift and quality issues.
@Sakthi_in · X
- Ship AI written code confidently. Catch drift before it compounds.

Monitor critical website buttons 24/7 with automated browser testing and receive alerts on failures.
@ardayesilgul · X

Monitor status and metadata-based problem signals for AI tools.
dobby_lee · HN
Open-Source for AI tool status checker

Secure AI agent actions with code checks, permission gates, and approval workflows.
@RElharrak39428 · X

Upload résumé and job URL to get match score, gaps analysis, and apply/skip guidance.
u/tejasghutukade · Reddit
I built Nxtrol — paste a job URL, get an honest apply/skip brief, then tailor your résumé Hey r/SideProject 👋 I just took Nxtrol out of private beta. The problem Job hunting felt like gambling. I’d open a JD, feel “maybe,” apply anyway, and only later realize it was a bad fit — or spend an hour rewriting my résumé for something I should’ve skipped. What it does 1. Paste a job URL 2. Get a structured fit brief (score, gaps, clear apply/skip) 3. If it’s worth it, tailor résumé + cov