ThreadPay: WeTransfer for money – a medium for money transfers

Hacker News

Often cross-border bank transfers default to 3-5 business days, on the other side P2P fintechs need signup, KYC, and other steps. I built an app that eliminates the need to open an account or go through long verifications, allowing users to send money immediately. How? Via Visa and Mastercard card-to-card real-time transfers, money can be sent straight to a card using the card number only, without the requirement for IBAN, Swift Code, or any extra routing data. *Link to MVP*: [ https://app.threadpay.io](https://app.threadpay.io/) *Link to Memo with demo recordings*: https://coda.io/@taulant-mehmeti/threadpay-memo *Link to Landing page*: [ https://threadpay.io](https://threadpay.io/)

Visit product View on Hacker NewsMay 28, 2024

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Actual performance

4points

7comments

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, recordings, using · Missing: mac, agents, macos

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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