Webbu – Assistant for the Browser

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Show HN: Webbu - assistant for the browser Hi HN! Fernando here. I want to show you the first version of Webbu (https://webbu.app/), an assistant, like Alexa, but for the browser. For example, you can change the color of a website by saying "make the background blue". We have all been spending more time in the browser, and Webbu wants to be right there with you, helping you get things done quickly. There's also a 1 min. demo video on the website. This is just the first version and it doesn't have many skills but I want to put it out there early so that folks can contribute to it. Anyone can create skills and the project itself is open source (https://github.com/fersarr/webbu_backend). If there is any revenue in the future, it will be shared with all the skill creators and open source contributors. I will shortly create a tutorial on how to create skills. Basically, you can do it in a no-code fashion by using a combination of steps like "type text", "change style", "open a URL", etc. Additionally, you will be able to create skills programmatically in the backend. Thanks for reading! and feel free to drop any comments or ideas.

Visit product View on Hacker NewsMay 24, 2022

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

72%72% 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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

55%55% 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: video · Missing: mobile apps, ios, personal

43%43% 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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, revenue · Missing: mrr, profit, saas

15%15% 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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