API Checkout Links – instant checkout pages for your API products

Hacker News

API Checkout Links — a unique product offered by Project X allowing you to instantly set up a checkout page for your API products without any coding. Just create a link for your API product and get a beautiful checkout page where your customers can subscribe to your API, pay and start using it. Full-blown payment infrastructure included. Example checkout page: https://checkout.projectx.biz/L6y82GHWsPw3uML43gAZFj Read the docs: https://docs.projectx.biz/getting-started/publishing-api-pro... Full Project X quick start video: https://vimeo.com/784555603

Visit product View on Hacker NewsJun 28, 2023

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, coding · 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: ide · Missing: https docs, excited, just released

50%50% 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 HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting

43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

37%37% 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

22%22% 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

15%15% 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

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

Incorrect prediction on native model

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