Ap

Apollo – An affordable brand copywriter for blog posts and articles

Hacker News

Apollo – An affordable brand copywriter for blog posts and articles

Apollo is your brand's wordsmith! I've been writing a lot of content for a couple of other products, and it's been hard to not use AI and ML to turn a couple of ideas into a couple of paragraphs; however, most options out there are either too expensive or too hard to use for this purpose, reliably. That's why I built Apollo! Now you can unlock the power of AI and ML with Apollo, your affordable brand copywriter. You can craft compelling blog posts and articles effortlessly, in your brand's unique voice and boost your content strategy today! It costs $10 for 10 new articles and 5 rewrites (up to 1200 words each), after a 30-day free trial (no credit card required) which includes 1 new article and 1 rewrite. I hope it's valuable to you.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: para · 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 HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released
32%32% 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 · Strong signals: para · Missing: mobile apps, ios, personal
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% 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
20%20% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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