Billed

Billed

AppSumo

Billed is appreciated for its user-friendly interface, responsive customer support, and comprehensive features for invoicing, estimates, expense tracking, and time tracking. Some users have noted minor drawbacks such as limited currency options and occasional technical glitches.

Billed is appreciated for its user-friendly interface, responsive customer support, and comprehensive features for invoicing, estimates, expense tracking, and time tracking. Some users have noted minor drawbacks such as limited currency options and occasional technical glitches. With an overall rating of 4.0 and a 60-day money-back guarantee, Billed is a solid buy for those seeking efficient invoicing and accounting solutions.

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Actual performance

27reviews
Did not reach leaderboard

Traction signals

Rating3.8 / 5
Purchases67

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: friendly, occasional, interface · Missing: plus, platform, intuitive
81%81% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, 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
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: time tracking · Missing: web3, chat, crypto
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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