Chipscribe: A platform for people to split the cost of subscriptions

Hacker News

Hi, I know everyone on HN is an elite programmer making tons of money. However, in the current market idk anymore, but as a student money is short and I split the cost of basically all my subscriptions with my roommates from Netflix to Spotify. Over the summer I thought what if I make a platform that allows anyone to split the cost of subscriptions with random people anywhere in the country and save everyone a buck or two in the process, they wouldn't have to listen to the gurus about canceling all their favorite streaming subscriptions so I made chipscribe(my first website btw so its a bit rough especially the landing page. Most of my time was spent automating account creation and management on sites like Netflix) and I wanted to share it. although, there's not much atm.

Visit product View on Hacker NewsNov 28, 2022

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61%61% 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.

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

43%43% 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

42%42% 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

19%19% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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