Poyais One
AI Powered Marketing Intelligence
What it does
Poyais One is an AI-powered marketing platform that brings your advertising data, analytics, and performance insights into one place. Connect Google Ads, Meta Ads, GA4, marketplaces, and more to get a unified view of your marketing performance without jumping between multiple dashboards. PoyaisOne helps marketers and businesses understand what’s working, spot opportunities, and make better decisions faster. Built for modern teams who want less reporting, less guesswork, and more growth.
Google Ads, Meta ve GA4 verilerinizi yapay zeka ile analiz edin. Haftalık raporlar, anomali tespiti ve gerçek zamanlı optimizasyon önerileriyle reklam bütçenizden maksimum verim alın.
Google Ads, Meta ve GA4 verilerinizi tek katmanda birleştirin. Haftalık AI raporları, anomali tespiti ve gerçek zamanlı optimizasyon önerileriyle bütçenizden maksimum verim alın. Meta Ads 4,15x ROAS ile Google'ın önünde. Retargeting bütçesi %15–20 artırılabilir. Hangi kampanya bütçe yakıyor, hangi kreatif yoruldu, dün ne değişti. Türkçe sorun, asistan canlı hesap verinizden yanıtlar. 3 kampanya hedef CPA'nın üzerinde harcıyor. Toplam ₺47.200 aylık verimsiz harcama tespit edildi: Panolar görür, uyarılar yakalar, görevler düzeltir, notlar kaydeder. Hepsi canlı Google, Meta ve GA4 veriniz üzerinde. Google, Meta ve GA4 yan yana ya da tek metrikte birleşik. Tarih ve platform filtreleri her…from poyaisone.com
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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