Unleak – Drop-in replacement UI for SaaS billing management

Hacker News

Hey! We are soft launching a new product. With a single line of JS code, you can have a full-fledge UI to replace the billing and subscription management section of your product so you never have to worry about it again -- or develop missing features, or add an awesome paywall screen, or... ;) If you want to know more about the product: https://unleak.io/ If you want to see a live demo that you can play with (using 4242 4242 4242 4242 test card): https://unleak.io/demos/saas If you want to signup to test the product: https://app.unleak.io/signup All intelligent feedbacks are welcome! Humorous one as well. Bonus point if both ;-) Thanks!

Visit product View on Hacker NewsNov 13, 2018

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, single, using · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, 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

51%51% 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 · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

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

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

25%25% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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