Optiwing

TrustMRR

Optiwing is a SaaS company that aims to improve SEO research with a keyword grouping software and Keyword Research tools, with PAYG credit-based pricing, allowing users to discover new keywords, check search volume, compare SERP pages, create schemas, or cluster existing keywords at a rate of 1 keyword per credit.

Visit product View on TrustMRRJan 26, 2023SaaS Software B2B

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating21

Launch Intel predictions

Analyze your own launch →

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

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

38%38% 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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · 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

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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Semdash is appreciated for its comprehensive SEO research tools, responsive customer support, and competitive pricing. However, some users find the credit system restrictive and the keyword difficulty scores underestimated.

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