Social Market

TrustMRR

BitShift LLC operates Social Market, an online advertising service where customers purchase one-time promotional placement for public social-profile links in categorized directories. Display order is

BitShift LLC operates Social Market, an online advertising service where customers purchase one-time promotional placement for public social-profile links in categorized directories. Display order is determined by each listing’s cumulative paid placement amount and can change when additional placements are purchased. Placement does not guarantee traffic, impressions, engagement, conversions, endorsement, ownership, or a permanent position. Public profile links may be submitted by third parties.

Visit product View on TrustMRRJan 28, 2025Social Media Software B2C

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Actual performance

Did not reach leaderboard

Launch Intel predictions

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Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

50%50% 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.

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

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

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