Subscribbly, a system to manage creative subscription programs

Hacker News

Hi HNers. I'm working on a tool called Subscribbly (subscribbly.com) to help creators set up subscription programs. I'm interested in opening up beta access to these with interesting ideas for subscription programs they'd like to run. This can involve subscriptions to digital or physical content, and at any scale. As a couple of examples, you could use Subscribbly to run a "t-shirt club" that sends a new tee to subscribers every quarter, or an "designer's toolbox club" that sends digital design assets (original fonts or icons etc) to members every month. The possibilities are almost endless, and I'm interested in getting a handle on how people would like to use this kind of platform. (The URL again, just in case you skimmed, is subscribbly.com)

Visit product View on Hacker NewsMar 4, 2013

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

85%85% 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.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, physical, open · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, 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

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

nativeThis product was originally launched on this platform.

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

21%21% 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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