Botric

TrustMRR

Botric helps brands monitor, improve visibility and get cited in AI search. Your customers are asking ChatGPT, Gemini, Perplexity, and Claude for recommendations. If your brand isn't in those answers, you're invisible in the fastest-growing discovery channel on the planet. → How AI decides which brands to recommend → AI Visibility breakdowns and audits → Product updates and walkthroughs

Visit product View on TrustMRRApr 23, 2025Artificial Intelligence Software B2B

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Actual performance

15customers

$1,045MRR/mo

Made the leaderboard

Traction signals

Domain Rating28

MRR growth 30d+49.7%

Launch Intel predictions

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

90%90% 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.

TrustMRRFits verified-revenue profile · Strong signals: ai, ai search · Missing: api, 000, profitable

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

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Strong signals: gemini · Missing: supports, created, podcasting

38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: reviews, intuitive, videos

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: discover · Missing: web3, just like, small businesses

15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, just released, open source

13%13% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Correct prediction on native model

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