Speechactors

AppSumo

Customers appreciate Speechactors for its wide range of 300+ AI voices across 129 languages, the ease of use, and the ability to generate natural-sounding voiceovers. Some users have mentioned minor drawbacks such as occasional robotic-sounding voices and limited character usage. Despite these, Speechactors is a solid buy for those in need of generating voiceovers. With a 60-day money-back guarantee, it's worth giving it a try.

Visit product View on AppSumoJul 6, 2022

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Actual performance

17reviews

Did not reach leaderboard

Traction signals

Rating3.9 / 5

Purchases734

Launch Intel predictions

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

70%70% 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

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

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

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

25%25% predicted probability of success on BetaList, 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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