WhatCopilot

TrustMRR

WhatCopilot helps Whatnot sellers run more profitable livestreams. Import your Seller Weekly Orders Report, track margin and inventory, organize delivery prep and manage lives, discover the latest trends with WhatTracks, Add some plugins for your comunity (OBS, Discord) and use Orion — an AI copilot powered by WhatCoins — to turn each show into clearer next moves. Plans from Pro to Entreprise scale shops, seats, and credits for solo sellers and multi-shop teams.

Visit product View on TrustMRRAug 5, 2026Analytics Software B2B

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Actual performance

1customers

$13MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d-100.0%

Launch Intel predictions

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

75%75% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Indie Hackers, 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

31%31% 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, profitable, margin · Missing: arr, mrr, revenue

29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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