YeetDL - Plus exclusive

AppSumo

Customers appreciate YeetDL - Plus exclusive for its versatility in downloading from various platforms, user-friendly interface, and high-quality downloads. Some users have reported occasional crashes and lack of Mac support. With an overall rating of 4.4 and positive feedback, it's worth giving it a try, especially with the 60-day money-back guarantee.

Visit product View on AppSumoJul 27, 2022

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Actual performance

82reviews

Made the leaderboard

Traction signals

Rating4.3 / 5

Purchases1,407

Launch Intel predictions

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

91%91% 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: mac, user · Missing: agents, macos, agent

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

63%63% 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

35%35% 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

29%29% 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

19%19% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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