eSIM Ahora
eSIMs worldwide: pay with crypto or card, no app.
What it does
Travel eSIMs for 180+ countries, from $1.10. No app — scan QR and connect. What makes us different: • Pay with card, Apple/Google Pay, or crypto (USDT/BTC/ETH) — one of few eSIM stores that accept crypto • Instant QR delivery — setup in under 2 minutes • Spanish-first: Telegram bot, AEAT-compliant invoices for freelancers • Coverage: Europe, Asia, Americas, Middle East, Africa • Local, regional, and unlimited plans For travelers who value freedom, privacy, and flexibility — wherever you go.
Buy travel eSIM for 150+ countries. 30-second activation. Up to 80% cheaper. Secure card payment.
Connect in seconds. No abusive roaming, no SIM swap. Instant activation. Competitor prices: public rates from airalo.com and saily.com. Subject to change by their operators. eSIM Ahora is not affiliated with these brands. Share your link. When your friend buys their first eSIM ($5+), both of you get $1 wallet credit. Every qualified referral pays, no paperwork. Your personal link lives in your wallet and the Telegram bot. Send it to a friend who travels. They land via your link, pick a plan and pay. First purchase must be $5+ to trigger the bonus. The moment the eSIM ships, both wallets show +$1 — use it on your next purchase or top-up. Bonus paid only on the first qualifying purchase. Net…from esimahora.com
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Life & fun · 10d ago · louisabraham.github.io
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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