I

I turned my email automation tool into a full-fledged email platform

Hacker News

I turned my email automation tool into a full-fledged email platform

Around 10 months ago, I published a tool I made ( https://news.ycombinator.com/item?id=32229278 ). I was scouring the market for an affordable and easy-to-use email automation tool, to no avail. The solution? I decided to just build it myself. Since then, I've added the ability to send transactional and broadcast emails, threw out the subscription pricing and turned it into a usage-based model, etc. In short, turned it into a full-fledged email platform designed for SaaS. With this post, I would like to share my learnings, findings... Ask any question and I'll answer it to the best of my ability. Thanks to the feedback of the HN community, I was able to turn this into something that I am still proud of every single day. A sincere thank you from my side.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
91%91% 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: model, new, email · Missing: mac, agents, macos
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
55%55% 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 · Strong signals: saas, subscription · Missing: arr, mrr, revenue
16%16% 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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