PostDecks

TrustMRR

"Can you show us how it'll look on LinkedIn and Facebook?" If you run social for clients, you've had that message. A caption with raw images in an email doesn't show them how the post will look, and n

"Can you show us how it'll look on LinkedIn and Facebook?" If you run social for clients, you've had that message. A caption with raw images in an email doesn't show them how the post will look, and not everyone wants to log into a scheduler just to approve a post. So I built PostDecks. Upload your images and caption once, see exactly how the post will look across X, LinkedIn, Instagram and Facebook. Export a PDF or PNGs for sign-off.

Visit product View on TrustMRRJun 21, 2026Social Media Software stripe

Actual performance

1customers

$5MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating10

Launch Intel predictions

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

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

best fitHighest predicted score across all platforms for this description.

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

70%70% 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 · Strong signals: email · Missing: mac, agents, macos

66%66% 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

36%36% predicted probability of success on AppSumo, 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

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

22%22% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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