I built yet another ChatGPT Chrome extension

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Hey HN, I’m here to introduce you my first of hopefully-many-projects-to-come this year: ReadPal.ai, a chrome extension that let’s you chat with ANY web pages while browsing. Let’s first address the elephant in the room: there are tons of chrome extensions of sorts out there…Why did I choose to work on this? Over the years, I’ve had many projects started that never crossed the finishing line; and also many ideas that’s dauntingly ambitious that I never even started. So I chose this project, in the hope that its moderate size & scope can help me finally exercise the build→ship muscle. And I must say, it has served its purpose. I thought it would just be a weekend project, however, end up dragging it for months…With the pressure of the year-end and the free time in the holiday season, I finally got to the ship phase! During the process of building, testing, and beta testing, I came across two revelations about the product: - Having AI side by side with access to the same information as you is very helpful! It's not just about summarizing long research papers, but even simple day-to-day activities can benefit from it. e.g. asking “is this miso good for making ramen?” on a miso product page on amazon, etc. - Despite a lot of similar extensions, there is still room for differentiation! The average user who isn’t intentionally following the developments in the AI field, can benefit from a tool that simplifies the complexity of various models & prompting techniques, and focuses on providing a user experience that seamlessly integrates with their workflows. There is still a long way to go in terms of the second point. Your feedback would be very helpful with that! Thank you!!

Visit product View on Hacker NewsJan 11, 2024

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

95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

70%70% 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, way · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

36%36% 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

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, introduce · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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