Over 1,000 paying customers in the first 3 weeks of Coinkite.

Hacker News

It's Monday, we are sipping on our coffee bought with Bitcoins, and decided to make an update. * We are very thankful to all of you who support an independent paid business. * Over 1,000 paying customers in the first 3 weeks of Coinkite, and grow as we send invites! * As you know, we reply to email, so keep the feedback coming. * We are sending the invites slowly and growing safely to make sure your coins are safe and always available to you. * the wallet is has been stable and secure. Working on Phones, Tablets and Desktop. * the cards are almost ready, should be arriving in a couple weeks at our office. * the POS is on track for the shipping period and we are almost convincing the factory to take Bitcoins! * Interac integration via QuickBT has been a success * Bitcoin, Testnet, Litecoin and more coming. You can find out more about us at: * http://coinkite.com/faq/ * http://coinkite.com/why-coinkite * http://blog.coinkite.com -- Thank you users.

Visit product View on Hacker NewsNov 4, 2013

Share card

Actual performance

8points

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

75%75% 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, 000, io · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

48%48% 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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Systeme.io50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Free all-in-one marketing platform (12,000 paying customers)

Indie Hackers152$450,000/moe-commerce

Ella®42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find the paying customers of your competitors

Indie Hackers

Pagetz68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get leads, and turn them into paying customers.

Indie Hackerscommitment-full-time

leadflow61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn visitors into paying customers

Indie Hackers1ai

I made a Klout killer in 2 weeks56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a Klout killer in 2 weeks

Hacker News12

Supalytics53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find which traffic converts to paying customers.

Indie Hackerscommitment-full-time

DigiStorms57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn free users into paying customers, on autopilot.

Indie Hackers1$490/moai

Trusers65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup database with verified paying customers.

Indie Hackers1analytics

How I launched a Mac app and reached $3,000 revenue in 2 weeks68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How I launched a Mac app and reached $3,000 revenue in 2 weeks

Hacker News1

Pabble.io51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Convert Your SaaS Users into Paying Customers

Indie Hackers1ai

Browse all products Analyze your launch