Ke

Keychain – WhatsApp for Payments

Hacker News

Keychain – WhatsApp for Payments

Hey folks! We’ve built a simple web3 payments app to send or receive funds easily. Keychain makes payments as simple, free, and global just as WhatsApp does for telecommunications. The app takes away blockchain complexities and makes it simple to make web3 transactions in web2 style. Here’s how it works: 1. App Install - On your mobile, save the app URL in your bookmark for easy access. It’s a Progressive Web App. (follow the instruction on https://www.app.keychain.money/) 2. Add Funds - Import from any wallet or use our 3rd party onramp service. 3. Make Transfer - Choose to send funds directly to a wallet address or generate a simple payment link. If there's anything we can do better, please let us know in the comments. Explore the app - https://www.app.keychain.money/ Website - http://keychain.money/ Twitter - https://twitter.com/keychain_money

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% 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 · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: communications · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, 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: web3 · Missing: chat, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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