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I'm 15 and built Gofer, an AI that gets actual terminal work done

Hacker News

I'm 15 and built Gofer, an AI that gets actual terminal work done

Gofer is a side-project I wrote at 15 because I was sick of these so-called CLI agents. Claude Code, Codex, Gemini CLI, they're all wonderful if you're coding. But for those just wanna automate their stuff, it's a dud. Gofer solves this by being terminal-first, meant to accomplish any task a command line can. It can also watch your desktop so you can avoid waiting for downloads to finish, and can text you via. Telegram! Happy to answer any questions :D! -J

Visit product View on Hacker NewsJun 27, 2025

Actual performance

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

94%94% 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: gemini · Missing: supports, reddit linkedin, podcasting

81%81% predicted probability of success on Indie Hackers, 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

49%49% 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 · Missing: mobile apps, ios, personal

44%44% 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

33%33% 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

26%26% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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