Dittofeed – 1-Click deploy, self-host Mailchimp alternative

Hacker News

Hi HN, we've released Dittofeed v0.4.0, a significant update primarily focused on facilitating self-hosting. Dittofeed is an open source (MIT licensed) alternative to platforms like customer.io, mailchimp, klaviyo, iterable etc. Self-hosting is particularly useful if you: - Want to evaluate Dittofeed without a long-term commitment - Prefer fixed, non-volume based pricing models - Aim to keep all personally identifiable information within your own infrastructure In this version, we introduced 'Dittofeed Lite,' which merges the dashboard, API, and worker services, simplifying deployment, along with providing an easy auth setup. We've also configured a 1-Click Render deployment. The Render setup comes at a fixed cost of $39/month. However, by using alternative hosting solutions for the Postgres and ClickHouse instances (neon, clickhouse cloud), the monthly costs can be reduced to under $20. We personally feel that there’s a big problem with how existing platforms handle pricing, charging insanely high prices with low contact limits, while restricting access to really basic table stakes features. Excited to share this work, and hear your thoughts and feedback! Github Repo - https://github.com/dittofeed/dittofeed Demo - https://demo.dittofeed.com/dashboard/journeys Docs - https://docs.dittofeed.com/getting-started

Visit product View on Hacker NewsSep 19, 2023

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

88%88% 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.

Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, lua · Missing: https docs, just released, filesystem

82%82% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, using · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, month, monthly · Missing: mobile apps, ios, entrepreneurs

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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