AuditLabHQ
Find what pushes your emails toward spam
What it does
Free email deliverability scan for SPF, DKIM, DMARC, MX, MTA-STS and TLS-RPT. Get clear fixes and an optional PDF report in minutes.
Check your domain for SPF, DKIM, DMARC and mail-security issues, then get prioritized fixes. AuditLabHQ only reads public DNS records. Nothing is modified. Complete report with hardening checks, evidence and implementation guidance. We check SPF, DKIM, DMARC and MX first so the most common technical risk factors for spam placement are visible immediately. MTA-STS and TLS-RPT show whether inbound mail transport is hardened and whether TLS failures can be monitored. The output is designed to help someone decide what to change next, not just confirm that records exist. Understand what each protocol does and how they work together. A practical checklist to improve inbox placement and reduce…from app.auditlabhq.com
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Email Deliverability API & Checker26d ago · web-production-80c77.up.railway.app · ▲2Instantly audit SPF, DKIM & DMARC to stop landing in spam.





More growth this month
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com