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JawsDB – MySQL for Heroku. Need Alpha Testers for Heroku Addon

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JawsDB – MySQL for Heroku. Need Alpha Testers for Heroku Addon

Hi, I'm launching a Heroku addon, called JawsDB, that allows users to provision a MySQL database for use with their Heroku applications. Postgres is the default option for Heroku and it is a fine database, but some of us cut our teeth on MySQL and may have apps that use MySQl that we would like to be able to deploy with Heroku's phenomenal hosting service. I currently need alpha testers to provision the addon and give me feedback on how the experience was with tying it into your application. The only requirements are a Heroku account (free) so that I can send an alpha invite to that particular email. You can contact me for an invite through www.jawsdb.com or through twitter @jawsdb. If you have any questions, please ask! And thank you for your invaluable help as I try to get this launched!

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, email · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, users · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released
35%35% 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
12%12% 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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