XreplyAI

TrustMRR

XreplyAI is a social media tool for solo founders and creators who need consistent presence without making it a full-time job. It schedules posts, generates content in your voice, and drafts replies a

XreplyAI is a social media tool for solo founders and creators who need consistent presence without making it a full-time job. It schedules posts, generates content in your voice, and drafts replies across X, LinkedIn, Instagram, Threads, Facebook, YouTube, TikTok, Pinterest, Bluesky, Mastodon, Discord, Telegram, Tumblr, and Google Business. Upload your archive and it learns your voice — every post sounds like you wrote it.

Visit product View on TrustMRRJan 1, 2026Social Media Software Both

Actual performance

6customers

$460MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating30

MRR growth 30d+1833.9%

Launch Intel predictions

Analyze your own launch →

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

72%72% 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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

61%61% 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

30%30% 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

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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