Easy way to engage your customers

Hacker News

Since i used to work in the entertainment industry before, i always ended up getting lots of emails about different events, promotions at restaurants clubs etc. i never ended up reading them so i was thinking there has to be a better way to engage your potential customers than just random emails. so as a side project, i created this little website to allow businesses to send out different campaigns such as SMS, Voice or text to speech to their customer database. It will automatically call your customers for you and playback your message or have a computer read it out to them. The benefit of it is that you can have your own number show up on their caller ID which will personalize the experience. let me know what you think. Thanks http://www.invitebuzz.com

Visit product View on Hacker NewsMar 5, 2012

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

69%69% 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 NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · 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

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

Incorrect prediction on native model

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