I

I built a Chrome extension pornblocker,it featured on Google webstore

Hacker News

I built a Chrome extension pornblocker,it featured on Google webstore

I wanted to share the rollercoaster ride of creating and launching my Chrome extension, "PornBlocker," which is now proudly featured on the Google Web Store. This journey had everything: a dream, unexpected roadblocks, dramatic turns, and an eventual sweet victory. The story begins about two years ago. I was a recent CS grad with a burning passion to make a difference. The internet, as we all know, can be a wild place, especially for younger audiences and individuals trying to avoid specific types of content. That’s where my idea for PornBlocker began. The goal? To develop an extension that could automatically block adult content, ensuring a safer browsing experience. Initially, I thought the biggest hurdle would be the technical side—building the extension. Little did I know, the real challenge would lie elsewhere. I dove headfirst into coding, spending countless nights converting coffee into code. After three months of rigorous testing and tweaking, PornBlocker was ready. Or so I thought. I excitedly launched it on the Google Web Store, expecting immediate attention and downloads. That’s when I hit my first major roadblock. The extension was there, but it was practically invisible. No downloads, no reviews—nothing. I was devastated. Had I missed something crucial? Was my effort all for naught? Determined to find out why, I started reaching out to users on forums and social media. The feedback was eye-opening but hard to swallow. Users liked the idea but found the extension clunky and the user interface unintuitive. It was back to the drawing board. Over the next few months, I revamped everything from the UI/UX to the underlying algorithms. The second version was sleeker, faster, and more user-friendly. With bated breath, I re-launched it. This time, the response was slightly better. People started downloading it, and some positive reviews trickled in. But then, another turn. Just when things seemed to be picking up, a competing extension was released, boasting similar features with a bigger marketing budget. It was crushing. My download numbers started dwindling as the competitor scooped up users. It felt like all my hard work was going to be overshadowed. Refusing to give up, I doubled down on what I believed was my extension’s USP: privacy protection. Unlike my competitor, I made sure that PornBlocker didn’t track user data. I emphasized this in my marketing, reaching out to privacy advocates and getting involved in online communities that valued anonymity. My efforts paid off slowly but steadily. The big break came when a popular tech blogger who champions digital privacy reviewed PornBlocker. They praised the extension's ability to block content without compromising user privacy. This review went viral, and suddenly, PornBlocker was back in the game. Downloads surged, and feedback poured in. More improvements were made, turning users into evangelists who recommended the extension to others. The climax of this journey was receiving an email from Google acknowledging the positive impact of PornBlocker and featuring it on the Web Store’s main page. Looking back, this journey taught me more about perseverance and user feedback than any coding bootcamp ever could. Every setback was a setup for a greater comeback. It wasn't just about building a successful product but about pushing through failures, listening to your users, and standing by your core values. Thank you for letting me share my story here. If you’re curious about PornBlocker or have any questions, I’m here to chat in the comments! https://pornblocker.co

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Actual performance

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2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
96%96% 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 HuntOn track for Day 1 leaderboard · Strong signals: google, user, email · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: intuitive, reviews, friendly · Missing: plus, platform, host
59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist
45%45% 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: month, google, users · Missing: mobile apps, ios, personal
45%45% 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 · Strong signals: chat, paid · Missing: web3, crypto, cryptocurrency
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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