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I made a MailChimp alternative that connects to your database

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I made a MailChimp alternative that connects to your database

Hi all! Excited to share cc.dev after months of work and refinement. The idea for this product came from trying to do email marketing for my side project, CubeDesk, a site where Rubik's Cube enthusiasts can time themselves, race with one another, train algorithms — it's a fun niche! With over 40k users, sending even a single campaign was becoming expensive with MailChimp. I knew AWS SES would be much cheaper, but it’s just an API with none of the other necessities you need for a robust email marketing platform. Beyond cost, I was also frustrated with having to make sure my database was always in sync with MailChimp and the audience schema they enforced. If I wanted to email every user who had completed 10 solves, that would be a whole ordeal and eat up hours of my day. So, I started (and am now launching): https://cc.dev cc.dev connects directly to your database and lets you write SQL queries to target your audience. It's backed by AWS SES, so the cost to send emails is significantly less than what you're used to seeing. Combined with a template builder, media management, and campaign monitoring, cc.dev is meant to be your final destination whenever you need to send marketing emails to your users. Would love to hear your feedback on this! If you're interested in trying out cc.dev as your email marketing platform, shoot me an email and let's have a chat: kash at cc.dev

Visit productView on Hacker NewsJul 23, 2023
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
92%92% 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: user, new, email · Missing: mac, agents, macos
88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: month, users, way · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, builder, users · Missing: plus, intuitive, reviews
31%31% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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