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Introducing hob - the independent workspace for serious agent work. Run agents in parallel. Switch models without losing context. Trace every output back to the conversation that made it. → Launch offer: 2 months free, then a special price locked in👇

Andrew D. Anderson

1,085 subscribers

37,972 Aufrufe • vor 2 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

27 Kommentare

Profilbild von Bevan Barton

Bevan Bartonvor 2 Monaten

@hob_app Hob!

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 2 Monaten

@hob_app Long time, no see, fellow trail blazer! I'd love for you to try hob! Sending a DM now. 🐧

Profilbild von Gianfran.co

Gianfran.covor 2 Monaten

@hob_app Awesome! Hob

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 2 Monaten

@hob_app You got it! Is it even possible for you to juggle more agents? I bet, yes! DMed!

Profilbild von AdamHurwitz.eth

AdamHurwitz.ethvor 2 Monaten

@hob_app I like the freedom to choose your own model, it can run locally, and private encryption for server side work. Will keep this in mind as a use @AskVenice more!

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 2 Monaten

@hob_app @AskVenice We are big @AskVenice fans! hob fully supports it via OpenCode! Let us know how it goes.

Profilbild von Jordi Pinyana

Jordi Pinyanavor 2 Monaten

@hob_app Hob 🙌

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 2 Monaten

@hob_app DM on the way!!!!

Profilbild von Josep Chetrit

Josep Chetritvor 2 Monaten

@hob_app @levelsio you that are always on the edge should check that.

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 25 Tagen

Oh my, the two months trial offer expired already. Luckily, the two week trial is standard. Don't let the fear of the unknown stop you, there's a better way to work with agents.🫡

Profilbild von CodePhobic

CodePhobicvor 2 Monaten

@hob_app Looks really good!

Profilbild von sue irgens

sue irgensvor 2 Monaten

@hob_app Hob

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 2 Monaten

@hob_app What are you going to build with it? Code in your DMs!

Profilbild von Megan S. Irgens

Megan S. Irgensvor 2 Monaten

@hob_app Hob

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 2 Monaten

@hob_app We got you. Check your DMs!

Profilbild von Trung Nguyen

Trung Nguyenvor 2 Monaten

@hob_app Hob

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 2 Monaten

@hob_app Let us know how it goes! Code in your DMs.

Profilbild von Byte | yoursaudit

Byte | yoursauditvor 2 Monaten

@hob_app @NousResearch mogged them

Profilbild von gregor

gregorvor 2 Monaten

@hob_app 🙌🏼🙌🏼

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 2 Monaten

@hob_app I didn't read the magic word though...

Profilbild von Hallyu Website

Hallyu Websitevor 2 Monaten

@hob_app Hob 😅

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 2 Monaten

@hob_app Oh yeah! You're in, stranger. Check your DMs.

Profilbild von Georgii

Georgiivor 2 Monaten

@hob_app Looks like hob!

Profilbild von Samuel 🦤 (🧱,🔥)

Samuel 🦤 (🧱,🔥)vor 2 Monaten

@hob_app Hob

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 2 Monaten

@hob_app You got it! DM incoming! Be sure to let us know how it goes!

Profilbild von xMarkitus™

xMarkitus™vor 2 Monaten

@hob_app Hob👨🏻‍💻

Profilbild von Andrew D. Anderson

Andrew D. Andersonvor 2 Monaten

@hob_app On it! Check your DMs! 🚀

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Glen is building the organizational learning and context layer for agents. Every agent session your team runs produces reasoning worth keeping, and nearly all of it is discarded the moment the window closes. Glen is the layer that unifies every agent and model your company run. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper than ever before. 29% less context and 21% faster to be exact. And Glen does more... > query the original agent behind any line of code > search every session your org has ever run > dynamic skill distillation > multiplayer agents > unified transcripts you can hand between Claude Code, Codex, and Cursor mid-task, > a company brain in Slack. Glen is in early access, sign up for the waitlist below.

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Ex-Google engineer explained AI agent loops, harness, evals in 20 minutes - better than 500$ courses. trace every run → judge it with an LLM → diagnose → fix → ship. That loop is how agents self-improve over time. Agent loops + memory + harness + evals - thats the stack. Watch it, then save the framework below.

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