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What’s all the buzz about Buzz? 🐝 02:14 Getting started, setting up Codex & Claude 03:20 Join a community 04:06 Meet your agent team 05:05 Creating agents (configuring personalities, local models) 08:30 Interacting with agents (multiple models, local or cloud) 09:44 Dream big 11:46 Sharing compute for local models... show more

Pavlenex

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Buzz tips and tricks🐝(from myself and others) 00:59 Agents orchestration and avoiding model bias 02:19 Agent record a video to show your teammates 03:40 Avoid duplicate work and wasted engineering time 05:50 Agent-powered reporting 06:50 OBJ's agents 07:06 Vincenzo Palazzo turning PMs into devs and devs into PMs 07:28 Brad Groux Triggers, schedules and workflows 07:36 ThomPete Crawl X, collecting feedback and triaging bugs 08:40 Kyle Fletcher 🐀 Temporary channels 09:43 Categorizing channels 11:10 Buzz brings energy back to teams, pulling people out of lonely AI chats and into a shared playground where building feels fun again. 13:05 Your agent can fix and contribute to Buzz itself

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Box

152,852 views • 11 days ago

I tried jack's Buzz. It's like Slack + OpenClaw + Herdr + but with some really unique features that people are sleeping on. The video below shows how it works, and some of my thoughts on the process and platform, e.g.: - Create and interact with agents on top of any harness (claude code, codex, pi, etc.) - Choose which models agents use, including local ones - Agents can delegate work and work in parallel in git worktrees - Agents are first-class citizens and work like humans (creating channels, delegating, access to chat history) - You can share AI compute within a community - It's completely open-source and decentralized Things I like: - Delegating work in chat feels natural: tag an agent, it replies in a thread with status updates as it e.g. compiles, commits, and deploys. - Shared compute: relay owners can share local compute with members, so a community could pool funds for one beefy machine running a local model and everyone uses it. - It's built on Nostr, an open protocol already tied into Bitcoin Lightning so I can imagine communities tipping each other or paying for compute/agent tasks with instant zero-fee micropayments in the future. - It ties together things like OpenClaw, an agent manager, and Slack-style chat into one tool. Things I didn't like: - You can't see what the agent is doing in a terminal. The activity view exists, but if you're used to watching a session run, this UI feels a bit abstracted. A terminal view would be great. - It feels slower than running a session in Claude Code, though no evidence to back that up. For that reason I found myself doing one-off tasks in the terminal instead. Verdict: - I really like it so far and can genuinely imagine working with a team this way. - It doesn't feel ready for big, complex tasks yet. For shallower tasks, it's perfect. - The shared compute + Nostr/Lightning angle is what really separates it from every other agent manager for me, and I think that future is coming.

I tried jack's Buzz. It's like Slack + OpenClaw + Herdr + but with some really unique features that people are sleeping on. The video below shows how it works, and some of my thoughts on the process and platform, e.g.: - Create and interact with agents on top of any harness (claude code, codex, pi, etc.) - Choose which models agents use, including local ones - Agents can delegate work and work in parallel in git worktrees - Agents are first-class citizens and work like humans (creating channels, delegating, access to chat history) - You can share AI compute within a community - It's completely open-source and decentralized Things I like: - Delegating work in chat feels natural: tag an agent, it replies in a thread with status updates as it e.g. compiles, commits, and deploys. - Shared compute: relay owners can share local compute with members, so a community could pool funds for one beefy machine running a local model and everyone uses it. - It's built on Nostr, an open protocol already tied into Bitcoin Lightning so I can imagine communities tipping each other or paying for compute/agent tasks with instant zero-fee micropayments in the future. - It ties together things like OpenClaw, an agent manager, and Slack-style chat into one tool. Things I didn't like: - You can't see what the agent is doing in a terminal. The activity view exists, but if you're used to watching a session run, this UI feels a bit abstracted. A terminal view would be great. - It feels slower than running a session in Claude Code, though no evidence to back that up. For that reason I found myself doing one-off tasks in the terminal instead. Verdict: - I really like it so far and can genuinely imagine working with a team this way. - It doesn't feel ready for big, complex tasks yet. For shallower tasks, it's perfect. - The shared compute + Nostr/Lightning angle is what really separates it from every other agent manager for me, and I think that future is coming.

Vinny

1,308,384 views • 8 days ago

In the first episode of our new series Full Stack, Conductor CEO and co-founder Charlie Holtz takes us into the details of how he sets up his workflow for coding and managing AI agents. 00:00 – Building Conductor With Conductor 01:05 – Managing a Team of Coding Agents 02:39 – Do You Still Write Code? 04:17 – Charlie's AI Stack and Setup 05:48 – “Slop-free” Zones 07:25 – Don’t Let the AI Be Your Architect 09:15 – The Future of Cloud Workspaces 10:40 – Claude vs Codex 12:01 – Tokenmaxxing 14:17 – The Future of Human–AI Collaboration 15:07 – "Code Is Becoming Sawdust"

In the first episode of our new series Full Stack, Conductor CEO and co-founder Charlie Holtz takes us into the details of how he sets up his workflow for coding and managing AI agents. 00:00 – Building Conductor With Conductor 01:05 – Managing a Team of Coding Agents 02:39 – Do You Still Write Code? 04:17 – Charlie's AI Stack and Setup 05:48 – “Slop-free” Zones 07:25 – Don’t Let the AI Be Your Architect 09:15 – The Future of Cloud Workspaces 10:40 – Claude vs Codex 12:01 – Tokenmaxxing 14:17 – The Future of Human–AI Collaboration 15:07 – "Code Is Becoming Sawdust"

Y Combinator

155,571 views • 1 month ago

좋아하는 #선우 틱톡 춤&챌린지 모음 ❤︎ 00:00 세상에 소리질러 00:15 ladidadida 00:30 Ready to love 00:48 Permission to Dance 00:52 꿈빛파티시엘 01:20 Hot 01:32 Hot 01:47 That That 01:58 ZOOM 02:27 Roller Coaster 02:37 Beatbox 02:50 Attention 어텐션 03:10 단거 03:38 귀여워서 미안해 03:53 MBTI 04:15 on the street 04:27 배고파송 04:42 AMERICA HAS A PROBLEM 04:53 comethru 커피 05:13 난장 05:28 Love me 05:43 If we ever broke up 05:58 최애의아이 06:13 FIREWORK 06:29 Go 06:37 Love Lee 러브리 07:04 INVITATION 07:15 Right Now 풀업 07:26 War Cry 07:39 위글위글 07:50 나이트댄서 08:08 나이트댄서 08:28 첫눈 08:41 산타텔미 08:51 마리오 브이 09:00 Obsessed 09:13 Like I Do 09:24 Like I Do 09:39 Rather Be 레덜비 09:57 첫 만남은 계획대로 되지 않아 10:24 10:33 무빙 10:44 Back it up 10:54 전방향미소년 11:05 보이프렌드 11:18 워너비 11:33 티라미수 케익 11:45 페도라 11:56 Blessed 12:19 渋沢栄一 12:35 Change 댄스잼 12:46 동물원을 빠져나온 퓨마 13:25 어머뿔자 14:55 어머뿔자 15:51 영웅 16:17 작은 것들을 위한 시 17:48 으르렁 18:29 I NEED U 18:35 파이팅해야지 19:11 빙글빙글

좋아하는 #선우 틱톡 춤&챌린지 모음 ❤︎ 00:00 세상에 소리질러 00:15 ladidadida 00:30 Ready to love 00:48 Permission to Dance 00:52 꿈빛파티시엘 01:20 Hot 01:32 Hot 01:47 That That 01:58 ZOOM 02:27 Roller Coaster 02:37 Beatbox 02:50 Attention 어텐션 03:10 단거 03:38 귀여워서 미안해 03:53 MBTI 04:15 on the street 04:27 배고파송 04:42 AMERICA HAS A PROBLEM 04:53 comethru 커피 05:13 난장 05:28 Love me 05:43 If we ever broke up 05:58 최애의아이 06:13 FIREWORK 06:29 Go 06:37 Love Lee 러브리 07:04 INVITATION 07:15 Right Now 풀업 07:26 War Cry 07:39 위글위글 07:50 나이트댄서 08:08 나이트댄서 08:28 첫눈 08:41 산타텔미 08:51 마리오 브이 09:00 Obsessed 09:13 Like I Do 09:24 Like I Do 09:39 Rather Be 레덜비 09:57 첫 만남은 계획대로 되지 않아 10:24 10:33 무빙 10:44 Back it up 10:54 전방향미소년 11:05 보이프렌드 11:18 워너비 11:33 티라미수 케익 11:45 페도라 11:56 Blessed 12:19 渋沢栄一 12:35 Change 댄스잼 12:46 동물원을 빠져나온 퓨마 13:25 어머뿔자 14:55 어머뿔자 15:51 영웅 16:17 작은 것들을 위한 시 17:48 으르렁 18:29 I NEED U 18:35 파이팅해야지 19:11 빙글빙글

라기

55,782 views • 1 year ago

We went to America's top hackathon (TreeHacks) to see if Dagsen could predict the grand prize winner before the judges made up their minds. Was he successful? Find out in our latest video! 00:00 Introducing Treehacks 00:38 AI-powered chemistry 01:06 Remote surgery hardware 01:41 A prediction market for the hackathon 02:30 Dagsen’s strategy 03:10 Rescue robot 03:27 Semi-autonomous diving robot 03:44 AI-powered dancing game 03:49 Packing optimizer powered by AI 04:00 Control a computer with your mind 04:17 Turn any vehicle into a self-driving car 04:57 AR help for Alzheimer’s patients 05:15 Tool to block addictive social media features 05:50 Checking back in with the robot surgery team 06:26 Putting Claude Code agents into AR 06:50 And the winner is…

We went to America's top hackathon (TreeHacks) to see if Dagsen could predict the grand prize winner before the judges made up their minds. Was he successful? Find out in our latest video! 00:00 Introducing Treehacks 00:38 AI-powered chemistry 01:06 Remote surgery hardware 01:41 A prediction market for the hackathon 02:30 Dagsen’s strategy 03:10 Rescue robot 03:27 Semi-autonomous diving robot 03:44 AI-powered dancing game 03:49 Packing optimizer powered by AI 04:00 Control a computer with your mind 04:17 Turn any vehicle into a self-driving car 04:57 AR help for Alzheimer’s patients 05:15 Tool to block addictive social media features 05:50 Checking back in with the robot surgery team 06:26 Putting Claude Code agents into AR 06:50 And the winner is…

Soon

28,122 views • 5 months ago