FeedGuardians

TrustMRR

FeedGuardians is an AI-powered social media moderation and engagement tool for Instagram, Facebook, TikTok, X, BlueSky and YouTube. It automatically filters spam, toxic, and negative comments, generat

FeedGuardians is an AI-powered social media moderation and engagement tool for Instagram, Facebook, TikTok, X, BlueSky and YouTube. It automatically filters spam, toxic, and negative comments, generates on-brand replies to customer questions, and centralizes all comments and DMs into a single inbox. It has smart DM automation, alternative to ManyChat

Visit product View on TrustMRRAug 1, 2025Social Media Software B2B

Actual performance

40customers

$8,468MRR/mo

Made the leaderboard

Traction signals

Domain Rating18

MRR growth 30d+15.9%

Launch Intel predictions

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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.

best fitHighest predicted score across all platforms for this description.

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

56%56% predicted probability of success on TrustMRR, 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: inbox, single · Missing: mac, agents, macos

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

BetaListMay not resonate with beta-testers · Strong signals: chat, smart · Missing: web3, crypto, cryptocurrency

42%42% predicted probability of success on BetaList, 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

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

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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