AI browser ninja that can complete any task on Chrome

Hacker News

Hey folks, so I built a chrome extension called [name redacted], an AI assistant that automatically completes your browser tasks for you. You simply enter your task, and [name redacted] uses GPT-4V to “see” your screen and figure out the best browser action to perform repeatedly until the task is accomplished. We’re trying to figure out the best use case for [name redacted]. Some ideas we’ve had are natural language UI testing and automated UX feedback. Is there any task that you’d like to use [name redacted] for either personally or at work? If you want to try [name redacted], download the chrome extension and let us know what you think. It's completely free with no sign up required!

Visit product View on Hacker NewsJan 8, 2024

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2points

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Did not reach leaderboard

Launch Intel predictions

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

89%89% 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 · Missing: supports, reddit linkedin, podcasting

58%58% 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

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% 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

14%14% 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

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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