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Offramp – A VISA card for self-custodial wallets

Hacker News

Offramp – A VISA card for self-custodial wallets

Someone @jcal. Here's your real world use-case for crypto. Before Offramp, there were only 2 reasons you'd want to keep crypto on a self-custody wallet: 1. You didn't trust Binance / Coinbase / FTX to hold your crypto for you 2. You wanted to degen trade But what if you could use the assets on your self-custody wallet in real life? With Offramp, now you can get a VISA card for your self-custody wallet that you can spend anywhere VISA is accepted. Here's one of our users paying for coffee with an Offramp card on his Apple Watch: https://x.com/tzedonn/status/1765339024829387129?s=20 No top-up fees, no USD transaction fees. 400+ wallets supported, tokens from 13 EVM chains (including Ethereum and all major L2s). This is one step closer to self-banking.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apple, user · Missing: mac, agents, macos
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto, real world, real life · Missing: web3, chat, cryptocurrency
13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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