Turn Chrome into an Agent

Hacker News

HI HN, Sidekick sees and operates every website you use. Use plain English and it navigates, clicks and types in your local browser Demo video (40s): https://www.youtube.com/watch?v=8w-KNcFfQ1g Try it free, for today all sign ups get 1 month of the paid Starter tier for free. There's also a Free tier I'm Colby a bootstrapped solo-founder I built Sidekick because I was drowning in repetitive workflows for my vacation rental management business, and I wanted my computer to do the clicking VCs rejected me and the idea. But I don’t need their money. I need real people to try it and give honest feedback I'll be hanging around all day, would love to get your feedback and answer questions about implementation, security or anything else!

Visit product View on Hacker NewsOct 20, 2025

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

68%68% 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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid, real people · Missing: web3, chat, crypto

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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