infotrack

TrustMRR

infotrack is a SaaS platform that helps e-commerce merchants automate customer support over email. After a merchant connects their Gmail account, our AI agent reads incoming customer emails, drafts replies in the merchant's tone, and either sends them automatically or escalates complex cases to the merchant via Telegram. We charge a monthly or annual subscription billed per agent, with three plans (€49 / €129 / €299 per month) and a free trial of 50 emails.

Visit product View on TrustMRRApr 8, 2026Software stripe

Share card

Actual performance

1customers

$346MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating10

MRR growth 30d+0.5%

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agent, email · 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.

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

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

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

36%36% 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

35%35% 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

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

AI That Reads Docs and Drafts Customer Support Emails30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI That Reads Docs and Drafts Customer Support Emails

Hacker News1

Inboto – AI agent for email customer support26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Inboto – AI agent for email customer support

Hacker News2

Gropius28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI automated customer support emails for Gmail.

TrustMRRArtificial Intelligence

Zupport AI46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pioneering SaaS Customer Support

Product Hunt+207Customer Success

InboxIA26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The AI agent that reads and drafts replies to your customer

Indie Hackerscommitment-side-project

Airsupport22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Account-based customer support platform

Indie Hackers

Mailflo – Customer support right from Gmail45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mailflo – Customer support right from Gmail

Hacker News63

Zaidesk41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SaaS customer support software

Indie Hackerscommitment-full-time

Studio1 – Automate your screencast videos for customer support40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Studio1 – Automate your screencast videos for customer support

Hacker News1

Octopods51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Omnichannel customer support

Indie Hackerscommitment-full-time

Browse all products Analyze your launch