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Trigger an email sequence with an API call (Seeking feedback)

Hacker News

Trigger an email sequence with an API call (Seeking feedback)

Hello! I'm launching (aka "it's online") an early stage product that I'm building called ReplyBin. It's a functioning product, but pretty bare bones. I'm hoping to get some early feedback on it. You can see and sign up for it here to test it out: https://www.replybin.com/ ReplyBin is a web service that allows you to trigger pre-drafted email sequences with an API call. You use your own transactional email service (currently only SendGrid is supported, but I plan to add others in the future), and you can configure time delays to the emails to space out their delivery. I welcome any constructive criticism you may have. Thanks in advance for any feedback!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% 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: email · Missing: mac, agents, macos
65%65% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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