Alternative for Zapier/Make to cut the costs significantly

Hacker News

Great opportunity if you're a user of Zapier/Make or if you provide services based on these platforms, to cut your costs significantly. Excited to announce the launch of DoTenX( https://dotenx.com/ ), an open-source alternative for Zapier/Make: https://github.com/dotenx/dotenx If you're using platforms like Zapier or Make to automate workflows for yourself or provide it as a service to your clients, I invite you to get early access to our platform (Just mention here, or even better, DM me on Twitter). At this stage, the service will be available to a closed set of customers and if we have the capacity to give you access, you won't be charged until we provide the equivalent of the automations you have on other platforms (No CC required). --- *Note*: Registration is accessible to public, but unverified accounts won't be kept on the platform. Also, I'll contact those who've already shown interest in early access, but no harm in mentioning it here too. NoCode FTW!

Visit product View on Hacker NewsMay 30, 2022

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

79%79% 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, using, code · Missing: mac, agents, macos

71%71% 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

67%67% 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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

47%47% 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

13%13% 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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