Bribeshare – More Social Sharing

Hacker News

Hello, I launched https://www.bribeshare.com/ because I wanted some friends to share things on my behalf, then I thought why not allow everyone to share when they come to my blog/website. That way I could achieve organic, referral and viral website traffic. As a business owner, I also wanted to do something different than everyone else, and who else pays customers to share especially when it's not planned? It was important to me to maintain the organic philosophy. We tend to get more of what we incentivize.. So Bribeshare allows you to embed social share buttons, which allow you to "bribe" visitors to share. You can see an example at: https://www.itstimeforgreatness.com Please comment, like, share. Open for feedback of any kind. Please don't hesitate to email me at team@bribeshare.com All my best, Hikmet

Visit product View on Hacker NewsMar 21, 2018

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Actual performance

2points

11comments

Did not reach leaderboard

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

77%77% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

66%66% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% 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

19%19% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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