BunnyDoc

AppSumo

Customers are all about BunnyDoc, praising its efficient public form links, quick feature implementation, and instant and reliable email delivery. The cherry on top is its intuitive field editor.

Customers are all about BunnyDoc, praising its efficient public form links, quick feature implementation, and instant and reliable email delivery. The cherry on top is its intuitive field editor. There are a few hiccups like email deliverability issues and limitations in the number of templates and public form links, as well as language localization issues. Just small bumps on the road. Weighing the raves against the occasional grumbles, BunnyDoc is hitting the mark and is a solid buy for those in need of a convenient document solution. Plus, with a 60-day money-back guarantee, it's worth giving it a try.

Visit product View on AppSumoJul 17, 2023

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Actual performance

70reviews

Made the leaderboard

Traction signals

Rating4.2 / 5

Purchases4,566

Launch Intel predictions

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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

74%74% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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