Launch Intel
Propelr

Propelr

TrustMRR

Propelr is a SaaS app that helps people create, schedule posting on LinkedIn and X. Users connect their LinkedIn/X account and use a single place to draft posts, plan a content calendar, and publish a

Propelr is a SaaS app that helps people create, schedule posting on LinkedIn and X. Users connect their LinkedIn/X account and use a single place to draft posts, plan a content calendar, and publish at chosen times. AI can suggest or draft post ideas, headlines, and hooks; users always review and edit before anything is published.

Visit productView on TrustMRRJan 20, 2026Social MediaOtherpolar
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Actual performance

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, single · Missing: mac, agents, macos
85%85% 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: users, way · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
29%29% 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: saas · Missing: arr, mrr, revenue
26%26% 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
16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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