Booltin - Create flyer, Promote it and Get feedback

Hacker News

In this summer we hold a workshop in our university. We find out creating an attractive flyer, handing it out and putting it up on boards in proper locations are money and time consuming. Although we decided to just promote it on our social networks, we could not get expected number of attendees. But at least we find out what an impressive and efficient advertisement needs. So we start Booltin to solve this problem. Booltin is an online service to create flyer easily, promote it quickly and get feedback efficiently. Booltin launch page is here: http://boolt.in We really appreciate your feedback and suggestion.

Visit product View on Hacker NewsFeb 17, 2014

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best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

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

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

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

18%18% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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