Compare your organic traffic with SEO changes done around the same time

Hacker News

Hello HN! I’ve built a simple tool ( https://www.seotrack.co/ ) that compares your organic traffic with SEO changes done around the same time. SEO changes includes on-page SEO changes, SEO & website errors, changes in internal links, changes in backlinks and google algorithm changes. It does three things well: 1. Automatically tracks all your SEO changes. 2. Compares it with organic traffic around the same time. 3. And notifies you if anything goes wrong with your SEO. Few things it doesn’t do are: 1. Tracking JS based websites. 2. Tracking only one sub domains under a domain. Fixing subdomains and JS based websites is not a priority as of now as majority of the websites (that relies on SEO for traffic) don’t fall under these two categories. If you want to try this - do leave your details on the website ( https://www.seotrack.co/ ) and I’ll send you the invite in the next few days. Appreciate your feedback. Thanks! Arjun

Visit product View on Hacker NewsMar 1, 2019

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

56%56% 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: google · Missing: mobile apps, ios, personal

48%48% 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

16%16% 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.

Incorrect prediction on native model

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