Bazaar – Social Media Advertising Platform

Hacker News

Buy and sell brand promotion through social media with the Bazaar advertising platform. What does Bazaar offer? Bazaar offers a wide range of unique opportunities for both brands and influencers who wants to monetize from their social media platforms. Being a brand allows you to scroll through and choose a wide range of advertising opportunities. You may interact directly with potential influencers, and negotiate content and price (if necessary). This allows you as a brand or individual to perform super-targeted marketing. If you want to be an influencer for Bazaar there's really just two things you need; a social media platform with over 5,000 impressions and a Stripe account, then you can start monetizing your page instantly! The beauty of Bazaar is that you are not bound by any contract, nor any price requirements. Choose freely from the advertising requests you receive, and accept those you feel comfortable with. That's it! Website URL: https://www.bazaarapp.io/ App Store link: https://itunes.apple.com/us/app/bazaar-social-media-advertising/id1168693280?ls=1&mt=8 Hope you will like it!

Visit product View on Hacker NewsOct 31, 2016

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

78%78% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: apple, stripe · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

49%49% 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, 000, io · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

10%10% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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