OutreachNest Finder
Multi-engine lead finder & outreach tool for Windows
What it does
OutreachNest Finder is a Windows desktop app that searches Google, Bing, Yahoo & DuckDuckGo simultaneously to find leads, automatically extracts emails/WhatsApp/phone numbers, pulls SEO metrics (DA/PA/DR), syncs everything to Google Sheets, and includes a built-in outreach campaign manager. Free 3-day trial, no credit card required.
OutreachNest Finder is a Windows desktop tool that finds 1,000 SEO prospects in minutes. Auto-checks DA, PA, DR, extracts emails and syncs to Google Sheets. Try free for 3 days.
OutreachNest connects your brand with genuine niche websites for guest posts, delivers verified B2B contact lists, and writes content that actually ranks. No PBNs. No scraped junk. Just real sites and real inboxes. Authoritative backlinks, warm decision-maker lists, and content that reads like it belongs — all built from vetted, real-world sources. Permanent, dofollow placements on genuine niche blogs with real traffic and clean spam scores. You approve every site first. Targeted B2B contact lists — company, website, and verified email — ready for your outreach or sales campaigns. Original articles matched to each host site's tone, so your placements read natural and pass editorial review.…from getoutreachnest.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 · 17d ago · simedw.com