Refinderly
Bulk email finder that verifies every address it finds
What it does
Paste a list of domains and get contact emails back, each one already checked for deliverability, inside the same credit. Five more tools run on the same balance: verification, topic detection, Google index checks, HTTP status, backlink tracking.
Refinderly is an all-in-one SEO and link building toolkit with Email Finder, Email Verifier, Index Checker, Backlink Tracker, Topic Finder and HTTP Status Checker.
Refinderly finds contact emails on any domain and checks they're deliverable, classifies site topics and languages, confirms Google indexation and watches your backlinks - six products, one credit pool, results in minutes. Every credit works across Email Finder, Email Verifier, Topic Finder and Index Checker. You only pay for delivered results - failed checks are free. Paste a list of domains and get back verified contact emails, sorted by relevance - plus contact pages and social profiles for outreach-ready lists. Check whether an address actually accepts mail before you send. Deliverable, undeliverable or risky - with the reason behind every row. Classify whole site lists by main topic…from refinderly.com
Does the same job
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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