Analytics and Ad Blocker (Mv3 Ad Blocker)

Hacker News

Hi All, I created my company: Globemallow.io. Browser extensions for reducing the carbon footprint of the internet. Globemallow calculates CO2 emitted and energy (kWh) usage on webpage load, and provides a personalized sustainable development report on how each page can become more efficient from a sustainable development perspective. An Internet Sustainability Grade is calculated for each webpage. While working on Globemallow, I realized that a significant portion of websites had larger load times due to an asinine amount of analytics (tracking) and advertising scripts executing on each page. Analytics & Ad Blocker became the second browser extension I created. It blocks analytics and advertising scripts from executing. On more marketing advertisement reliant sites users can typically expect a ~50% faster load time- significantly increasing a site’s Internet Sustainability Grade.

Visit product View on Hacker NewsJan 11, 2023

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Actual performance

5points

6comments

Did not reach leaderboard

Launch Intel predictions

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

75%75% 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.

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

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

nativeThis product was originally launched on this platform.

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

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, users · Missing: mobile apps, ios, entrepreneurs

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: efficient, users · Missing: plus, platform, intuitive

33%33% 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

17%17% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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