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Bustinger – Bust YouTube spam comments automatically

Hacker News

Bustinger – Bust YouTube spam comments automatically

We're soft launching Bustinger . A SaaS to automatically remove YouTube spam. Our irresistible offer is: "Use Bustinger free for 14 days and watch your spam comments disappear." Context: YouTubers are being bombarded with YouTube spam. One YouTuber reported their viewer was scammed out of £70k (~$85k) and another "out of their life savings". We were considering the idea weeks ago and had we executed then, we would have saved these families such despair . We're not standing by idly any longer. We're going to save families from losing their hard earning money. Bustinger is here to bust YouTube spam.

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Actual performance

7points
4comments
Made the leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: context · Missing: mac, agents, macos
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · 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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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