Launch Intel
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TrustMRR

Social media scheduler for 21 platforms that shows which posts actually make money. Write once, post to X, LinkedIn, Instagram, Threads, TikTok, Bluesky, Pinterest and more. Connect Stripe, Gumroad, L

Social media scheduler for 21 platforms that shows which posts actually make money. Write once, post to X, LinkedIn, Instagram, Threads, TikTok, Bluesky, Pinterest and more. Connect Stripe, Gumroad, Lemon Squeezy or Shopify and every sale is traced back to the post that drove it. Works with AI agents: an MCP server with 50 tools lets Claude or ChatGPT schedule posts and read results for you. Built by one founder who answers every message.

Visit productView on TrustMRRJul 3, 2026Social MediaSoftwareB2B
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Actual performance

4customers
$79MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating13

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor
87%87% 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: answers · Missing: mobile apps, ios, personal
76%76% 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.
Acquire.comPre-revenue stage for this audience · Strong signals: shopify · Missing: arr, mrr, revenue
39%39% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, make money, paid · Missing: web3, crypto, cryptocurrency
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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