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ProductBaker – Free Chrome extension for SEO and traffic insights

Hacker News

ProductBaker – Free Chrome extension for SEO and traffic insights

Hi HN I built ProductBaker , a free Chrome extension + web app that makes it easier to analyze websites without juggling multiple tools. It lets you: Check domain details (creation, expiration, traffic, global/country rank) Run quick SEO reports (scores, critical issues, warnings, suggestions) View keyword counts & density (1–5 word phrases) Manage product info (titles, links, categories, metadata) Use the Chrome extension to get instant SEO insights on any page you’re browsing Why I made it: As an indie dev, I often needed quick SEO checks and traffic stats without paying for heavy SaaS tools. So I built ProductBaker to keep it simple, fast, and free.

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Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
71%71% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
16%16% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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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