Expensent

TrustMRR

Automatically email receipts and invoices to your accountant or bookkeeping software. Invoices land in your inbox and hide there until forgotten. Expensent finds them for you and let’s you chose to ma

Automatically email receipts and invoices to your accountant or bookkeeping software. Invoices land in your inbox and hide there until forgotten. Expensent finds them for you and let’s you chose to manually or automatically forward them. Catch up on past invoices. Future invoices are handled. Chose which one to auto-forward from now on. Now go enjoy your coffee ;)

Visit product View on TrustMRRDec 15, 2025Productivity B2B stripe

Actual performance

29customers

$684MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating46

MRR growth 30d+9.2%

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: inbox, email · 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

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

25%25% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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