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Kickstart your marketing efforts for free

Hacker News

Kickstart your marketing efforts for free

Hey HN I built a free AI SEO app called seoby.ai. I'm launching it on ProductHunt, Reddit and a few other places on Monday (19th February). It's 100% free, and has some pretty neat tools: 1. AI Content Detector: Find out if your content was written by a human or generated by AI. 2. AI Outline Generator: Remove writer's block and generate SEO-friendly outlines for your articles, blog posts, and landing pages. 3. AI SEO Topic Cluster Generator: Generate SEO-optimized topic clusters for your website and get better search engine visibility. I would love feedback/ideas/suggestions of what to add. Once again, it's 100% free to use (paid for by sponsors and affiliate comissions). Thanks, Lewis

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Actual performance

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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
67%67% 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.
AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
52%52% 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: ide, io · Missing: https docs, excited, just released
35%35% 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
25%25% 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
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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