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Coinseed - Invest Your Spare Change in Crypto (7): iOS and Android

Hacker News

Coinseed - Invest Your Spare Change in Crypto (7): iOS and Android

https://www.coinseed.co Hi everyone, we've just launched our app in iOS and Android, check it out. https://www.coinseed.co It's a micro-investment app for cryptocurrencies. Convert your spare change to Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), Litecoin (LTC), Dash (DASH), Monero (XMR) and Zcash (ZEC). Create your unique portfolio and link your cards and bank accounts. We'll round up your transactions to the next dollar and collect the change. When the round-up reaches $5, it will be automatically deposited and converted to cryptocurrencies according to your portfolio. Some FAQs: 1. At the moment, we are only available in the US, but planning to make a global launch in December. 2. Fees: $1 monthly fee. Free for the first month. No other fee. 3. No deposit or withdrawal fee (in the US). We use a low fee ACH provider. 4. No exchange fee. 5. At the moment, we don't allow withdrawing cryptocurrencies. If a user requests a withdrawal, we sell the assets and send the USD amount to the user. It will be sold automatically on an exchange, so the price is instant. The reasons: a. It's the requirement of our ACH payment provider b. We really don't want to deal with frauds. Have a great day :).

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Actual performance

3points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
81%81% 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: ide, io · Missing: https docs, excited, just released
55%55% 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: ios, month, monthly · Missing: mobile apps, personal, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
27%27% 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
18%18% 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, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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