Me

Mercantive – The all-in-one platform for digital creators

Hacker News

Mercantive – The all-in-one platform for digital creators

Hi HN, I’d like to share what we’ve been building! We created Mercantive to address a problem we’ve seen too often: selling digital products globally is unnecessarily complicated. From payment processing and tax compliance to secure delivery and analytics, creators often spend more time on operations than on creating. Mercantive is an all-in-one platform for digital creators, designed to handle the complexities of selling and delivering digital products so you can focus on your craft. Whether you’re a course creator, indie product maker, or content creator, we want to make selling online easier. Here’s what’s included: - Hosting and Streaming for Videos - Global Payments and Tax Handling - Analytics and Marketing Tools - Subscriptions and Licenses Management We’ve just launched and would love to get feedback from the HN community. Are there features you think are missing? Any ideas on how we could improve? You can check out Mercantive at https://mercantive.com . I’m here to answer questions or hear your thoughts. Thanks in advance for your feedback—it means a lot to us!

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Actual performance

1points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
95%95% 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.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
40%40% 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: video · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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 · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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