AutoBrowser – Automate your browser with Claude Computer Use

Hacker News

Hi HN! I've been building browser automation tools for several years now [0] so when Anthropic came out with Computer Use, I made a Chrome extension to try it out: https://autobrowser.ai My general takeaways from building on Computer Use: - It's fun to play around with but not yet reliable enough for real-world usage - It's expensive! ("go to youtube and play a video about orcas" costs around $0.05) - It performs WAY better if you send it screenshots after every action rather than waiting for it to ask you for one (but this also increases the cost) This is a fun experiment so it's free to use with your own API key. Try it out and let me know what you think! [0] https://news.ycombinator.com/item?id=29254147

Visit product View on Hacker NewsNov 22, 2024

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Launch Intel predictions

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

78%78% 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

71%71% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

48%48% 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

19%19% 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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