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Governed – contact your reps by fax/snailmail

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Governed – contact your reps by fax/snailmail

We want to make it as easy as possible for citizens to contact their reps. You can contact your congresspeople at their home/DC office by fax/snailmail/email/phone. It's built with ReactNative and Firebase. We send faxes using the Twilio API, and for snail mail we just print it out and send it in the mail (we figure if stamp costs become a problem, we'll wire up with a bulk mailing service). In our own experience, it's gratifying to use. The other day, one of my coworkers actually got a personalized letter in the mail from Rep. Roger Williams in response to a fax he sent through the app. Very cool to see. Our hypothesis is that concerned citizens will directly contact their reps if it is sufficiently easy. So we've built an MVP- but we are engineers, not marketers. How do we figure out whether or not this is something people want? App links: Android: https://play.google.com/store/apps/details?id=com.governedap... iOS: https://itunes.apple.com/us/app/governed/id1270482919

Visit productView on Hacker NewsNov 15, 2017
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Actual performance

2points
Did not reach leaderboard

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61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
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46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: 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.
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45%45% 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
23%23% 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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