Blogie

Blogie

TrustMRR

Automated AI blog posts that rank. Boost your SEO & rank higher on Google and GPT. Blogie generates humanized, SEO-optimized blog posts on autopilot — so you rank higher on Google, show up in AI answe

Automated AI blog posts that rank. Boost your SEO & rank higher on Google and GPT. Blogie generates humanized, SEO-optimized blog posts on autopilot — so you rank higher on Google, show up in AI answers, and grow organic traffic effortlessly.

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Actual performance

4customers
$72MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating25
MRR growth 30d-33.7%

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
65%65% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google, answers · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: google · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Incorrect prediction on native model

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