Even, the terminal-first desktop workspace

Hacker News

If you’re like me and have basically delegated all your development to Claude code, Codex, OpenCode and the other agents, you’d agree that one of the annoying things is the unmanageable terminals. Personally I love working on the terminal, but when building multiple projects, it quickly becomes messy. I built Even to solve this mess. I can control my terminal tabs per project, + comes with some nice features that make it so I don’t need to open any other app when locked in. In built Browser, Agents, local models, inline code editor, GitHub integrations, one click service deployments, and more… The last one week I’ve been building Even on Even, and I rarely open any other app on my machine. The best part, you can manage your skills and mcps right on Even, including even mcp/skill, which allows your agents to control any part of Even including the browser (which can import all your chrome profiles, cookies)… I’d love to get some feedback, and I hope you’d all get to see how I see developer experience should be. Happy to answer any questions.

Visit product View on Hacker NewsJun 26, 2026

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Launch Intel predictions

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

98%98% 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: including · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% 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: personal · Missing: mobile apps, ios, entrepreneurs

45%45% 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

40%40% 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

16%16% 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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