aicosttrack

TrustMRR

AICostTrack helps SaaS founders track AI usage, token costs, and profitability per customer. Connect your app, monitor spending across supported AI providers, identify expensive users, and understand

AICostTrack helps SaaS founders track AI usage, token costs, and profitability per customer. Connect your app, monitor spending across supported AI providers, identify expensive users, and understand exactly where your AI budget is going.

Visit product View on TrustMRRJul 15, 2026Artificial Intelligence Other B2B

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Actual performance

1customers

$9MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d+0.5%

Launch Intel predictions

Analyze your own launch →

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

68%68% 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.

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

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

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

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · 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 · Strong signals: profit, saas · Missing: arr, mrr, revenue

28%28% 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

18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

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

Incorrect prediction on native model

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