A Simple Way to Track Business Subscriptions

Hacker News

Hi HN, We built Chargenda after realizing how many business subscriptions we were paying for - and how often renewal dates were missed. Most teams use dozens of tools today. Some are forgotten, some renew automatically, and some keep charging long after they’re useful. We wanted a simple way to see everything in one place. Chargenda lets you: track all subscriptions get alerts before renewals see where subscription money goes avoid surprise charges It’s intentionally simple and privacy-friendly (manual tracking, no bank connections). We’re still early and would really appreciate feedback from people managing subscriptions for teams or businesses. Happy to answer any questions.

Visit product View on Hacker NewsDec 23, 2025

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

63%63% 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: friendly · Missing: plus, platform, intuitive

61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

46%46% 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

28%28% 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 · Missing: arr, mrr, revenue

27%27% 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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