
BasinCheck - Oilfield Safety Audit Software
Manage oil & gas safety audits, JSA analyses, and hot work permits with offline-capable software.
@jay_cobski · X
Awesome oil and gas safety audit tool -
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Manage oil & gas safety audits, JSA analyses, and hot work permits with offline-capable software.
@jay_cobski · X
Awesome oil and gas safety audit tool -

Paste any AI agent skill or GitHub link and get a safety grade from A+ to F: prompt injection, data privacy, destructive actions, and what the skill is actually good for. 2 free ch
@Vexlo_ca · X
Building Vexlo: a free AI toolbox for small business owners. 100+ master prompts, skills, and workflows. Just shipped Skill Check, a free scanner that reads any AI agent skill file and grades it A+ to F for prompt injection and data leaks in 20 seconds.

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

Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams

Automated security audits for GitHub repositories to catch secrets, auth issues, and deployment problems.
@emanueldev4 · X
Building Preflight a simple way to catch issues before your website goes live.

Scans live web apps for security vulnerabilities like exposed keys and open databases in 60 seconds.
@guhanvenkaty · X
Tako's free preview is live: Paste your URL, get a security verdict on your vibe-coded app in 60s. Not an AI wrapper: it fires real requests and PROVES exposure, pulling data from your open DB with no login. Scanning puts you on the early-access waitlist.

Set up uptime, API, SSL, domain, scheduler, and heartbeat monitoring from Claude or Codex, then investigate failures with evidence through Peeko MCP.
@ktat93 · X
A lot of things actually: 1. (qrcode generator - $120mrr) 2. (analytics soon + monitoring) 3. 4. (~10k visitors)

Search any NYC address for a Building Health Score and Block Quality Score built from public 311 complaint data.
u/Baconvation · Reddit
Built a tool that scores NYC apartments/blocks using public 311 complaint data Excited to share what my team and I built at the NYPL AI Hackathon: Streetwise. If you've ever searched for an apartment in NYC, you know the feeling: a listing photo tells you nothing about whether the heat actually works in January, whether the block has loud noises at 3am, or whether the building has a history of plumbing nightmares. That information exists, it's just buried in millions of rows of NYC's public

Scan websites for AI usage and test chatbots for bias and safety with this open-source EU AI Act compliance toolkit.
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff

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

Free website security scanner checking SSL, headers, and compliance for instant trust scores and AI-guided fixes.
@MrPenetratorTP · X
MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.

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