EasySpeak

AppSumo

Customers appreciate EasySpeak for its user-friendly interface, affordable price, and the ability to store multiple takes alongside scripts. Some users have reported minor issues with freezing, lack of landscape mode support on Android, and slow customer support. Despite these hiccups, EasySpeak is a solid buy for those in need of a teleprompter app. With a 60-day money-back guarantee, it's worth giving it a try.

Visit product View on AppSumoJul 22, 2024

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Actual performance

15reviews

Did not reach leaderboard

Traction signals

Rating2.9 / 5

Purchases538

Launch Intel predictions

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: friendly, interface, users · Missing: plus, platform, intuitive

73%73% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos

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

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

18%18% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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