nadanada
Anonymous eSIM, VPN, AI & phone numbers. No account needed.
What it does
nadanada (formerly LNVPN) lets you buy eSIM data plans, phone numbers, and VPN access without creating an account. No email, no KYC, no identity verification. Pay with Bitcoin Lightning, Monero, USDT/USDC, Apple Pay, or card. The service covers eSIMs in 200+ countries, disposable and rental phone numbers, a WireGuard VPN, and a private AI chat. Pricing: VPN from $0.50/day, eSIM from $0.99, phone numbers from $1.50
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No account. No email. No KYC. Instant, anonymous Anonymous VPN , SMS & eSIM services. Pay as you go. No subscription, no commitment. Trusted by privacy-conscious users in 200+ countries. We never log your activity or connection data on our infrastructure. No sign-up required. Pay with Bitcoin, Monero & Zcash, plus ETH, USDT/USDC and 200+ other cryptocurrencies, or a card if you prefer. No account, no email, no ID checks, no KYC. Just secure connectivity. VPN servers across numerous countries and eSIM data available in over 200 countries & regions globally. Your service works the moment you pay. No waiting, no approvals. Top up anytime. Daily, weekly, or yearly VPN plans, plus eSIM data…from nadanada.me
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- ASA small bootstrapped independent VPN company in the Netherlands2019 · wifimask.com · ▲154


More commerce this month
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Compare your startup equity grant for free.
Commerce · 26d ago · equitybee.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