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Write and post to your blog from Gmail (a Hey World alternative)

Hacker News

Write and post to your blog from Gmail (a Hey World alternative)

Backstory A couple of months ago, the Basecamp guys launched Hey.com and Hey World to bring a new email and blogging experience into the mix. Hey World lets you write blog posts straight from your Hey.com inbox which show up on https://world.hey.com. Neat! The Good: * People love the friction free blogging experience of Hey World The Bad: * to use Hey World, you need a Hey.com account. * your email address is visible to everyone because your posts sit on https://world.hey.com/<your-email-address>! * you can't host the Hey World blog on your own domain (yet) My Solution I built https://moogle.cc which lets you write and post to your blog from Gmail. Posting to your blog hosted as a subdomain of moogle is free. If you want to host your blog on your own domain, it is $5/month. You can sign up for a free Moogle blog @ https://moogle.cc/account and start posting in minutes https://moogle.cc/blog/post/1v6ouq/getting-started-with-moogle <-- here is a HOW-TO post (written from my Gmail account) explaining how to post and publish to your Moogle Blog.

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Actual performance

7points
2comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new, inbox, email · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive
54%54% 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
53%53% 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
15%15% 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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