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I built a secure "Linktree" for IBANs and Crypto addresses
Hacker NewsI built a secure "Linktree" for IBANs and Crypto addresses
I got tired of logging into my banking app just to copy my IBAN every time a client asked. So I built iban.bio - a privacy-focused page for your financial identity. It lets you share bank accounts, crypto wallets, and payment links (Wise, PayPal) in one URL. It supports phone number lookup (like Venmo) and uses AES-256 encryption for data storage. Live here: https://iban.bio Feedback welcome!
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2points
Did not reach leaderboard
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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created58%58% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue14%14% 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 · Missing: web3, chat, cryptocurrency3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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