Devin

@Kick_Champ wtf is up with the music? LOL. It tries to make a vibe that these guys are intelligential giants lol.

The ASU FRAT LEADER clowned Clavicular for overdosing on stream, saying it makes no sense to take the doses he takes 👀 "GHB is the most disgusting, potent substances ever, who does that for fun?" "He f*ked up the dosing, RET*RD"

@fox7austin Every time I open this it isn’t she was found or died. This wasn’t an update morons.

Nancy Guthrie, the 84-year-old mother of NBC "Today" show host Savannah Guthrie, has been missing for more than 70 days. Authorities believe she was abducted from her Tucson-area home sometime between Jan. 31 and Feb. 1. fox7austin.com/news/nancy-gut…

@toxiccowboy1 @Nithya_Shrii @dankarakaii God you seem intolerable

@Nithya_Shrii @dankarakaii Nah I've got liberal family members. I just say they were abducted by aliens but returned when the tests failed.

Would you block a family member for the sake of your mental health? BE HONEST!

@CDLCHQ @Nithya_Shrii Two clicks on your phone is too much effort for you? You sound so successful.

@Nithya_Shrii Lmaoo blocking requires effort. I will just ignore them

@mattshumer_ Lol nice OpenClaw wrapper, bud

try agent-s.app

This is yet another example of Claude Mythos’s incredible hacking capabilities. I expect we’ll see more examples and independent evaluations in the coming weeks that make clear just how powerful (and dangerous, in the wrong hands) this model could be.

@VicTrismegistus @code_rams Yes. She’s doesn’t know what she’s talking about.

@code_rams Didn’t Anthropic remove the ability to use Claude on openclaw?

Running OpenClaw alone is leaving 80% of its power on the table. Here's the full multi-agent setup with Hermes that changes everything: The core idea: Stop arguing OpenClaw vs Hermes. They have different strengths. Run them as a team - one plans, one executes. One builds, one monitors. Model selection (the golden rule): OpenClaw → Claude Opus (expensive, for planning + reviewing) Hermes → ChatGPT / GLM (cheap, for execution + monitoring) Use expensive intelligence for thinking. Use cheap intelligence for doing. Cuts your AI cost by 60–70%. Workflow 1 - Auto-debugging: OpenClaw breaks after an update. Feed the error logs to Hermes. It dives into the codebase, finds the broken file, patches it automatically. What used to take hours takes seconds. Workflow 2 - Supervisor/Builder loop: 1. OpenClaw (Opus) writes a 256-line architectural plan 2. Hermes takes the plan and builds the full app on a cheap model 3. OpenClaw reviews the finished code and flags improvements 4. Hermes implements the fixes Smart model plans. Cheap model builds. Smart model reviews. Workflow 3 - The Hallway Monitor: Put Hermes on a cron job every 2 hours. It checks all your servers, scraper health, running processes — automatically. Costs almost nothing. Frees OpenClaw to keep building. Workflow 4 - Shared Memory (the best one): Set up 3 folders in Obsidian: → /Agent-OpenClaw (its own memory) → /Agent-Hermes (its own memory) → /Agent-Shared (both agents read + write here) Hermes learns a new trick → writes it to /Shared. OpenClaw reads it → adopts it instantly. Two agents getting smarter together. Recursive self-improvement. The meta-hack: Don't set this up manually. Paste the video URL to your agent. Tell it to read the transcript and build the full memory structure for you. Your agent sets up your agent system. Full video by @AlexFinn 👇

@code_rams More AI influencer garbage

@saisatvik_ Waste of money. I could build that for free in 20 minutes.

Recently worked on this project for $3500. Too good to work with great clients.

@Zephyr_hg Could you be any more vague? “Everyone's building AI chatbots and AI content tools.”

Everyone fighting over the same AI chatbot market while these 6 businesses have zero competition and clients begging for solutions

@Brent_Fulfer Shut your bitch ass up

A founder wanted to raise $4M at a $20M valuation. I told him to cut it in half. $2M at $15M. Get the money in. Get moving. He had $2M in annual revenue ready via LOIs. But not the investor network to justify a $4M raise at that valuation in this market. So we reset. Smaller round. Less dilution pressure. Right names on the cap table. Then build to product market fit from a position of strength. A smaller round closed beats a bigger round that never closes. Some Founders optimize for valuation. Smart founders optimize for momentum.

@thelighttw @wsl8297 You are so clueless lol

@wsl8297 支持多模型随用随换太赞了。博主实测下来，Claude 3.5 Sonnet 和 Gemini 2.0 Flash 在还原 UI 细节上，谁的性价比更高？毕竟复刻一个复杂页面可能要好几次迭代。另外，集成 E2B 沙盒后，是不是可以直接在本地预览里进行交互调试了？这效率提升确实恐怖。

最近发现 Firecrawl 团队开源的 Open Lovable，GitHub 已经飙到 24k+ Star。 玩法很简单：把你想“复刻”的网站链接丢进去，几秒钟就能生成一个高度还原的 React 版本，布局、样式、交互都尽量贴近原站。 GitHub：github.com/mendableai/ope… 亮点速览： - 一键把任意网站“克隆”为 React 应用，复杂页面也扛得住 - 可接入 OpenAI、Anthropic、Gemini、Grok 等多种模型，随用随换 - 基于 Firecrawl 抓取页面结构，还原更稳、更一致 - 支持本地调试与部署，边生成边预览，所见即所得 - 集成 E2B 沙盒，运行与测试更安全，也更省心 MIT 协议，完全开源：拉到本地，配好相关 API key，直接跑。

@itsjasonai @noisyb0y1 No it’s not you dumbass

@noisyb0y1 that is an absolute masterclass in workflow automation

Chinese student spent $4,000 on two Mac Studios and a Mac Mini and built a Claude + Obsidian bot Claude and Obsidian scan hundreds of factors simultaneously. a human physically can't work with more than 2-3 processes at once. the machine does 12 microprocesses in seconds. three commands: /wiki - initialization /save - save the conversation /autoresearch - deep research on a topic with automatic citations. stuck stickers on them: UI/UX. DEV. ADMIN Three computers do one thing: Claude + Obsidian pulls live data that the developer feeds in and builds the product. updates every 1-3 hours running 24/7

@centralizedmrc @Mosescreates @NousResearch No he’s just a dumbass

@Mosescreates @NousResearch Any point of doing this instead of just different topics in telegram or channels in discord? Feels like a lot of overhead for little benefit

I'm going all in on Hermes (@NousResearch, @Teknium1) as my entire agent and coding stack. Six profiles. One shared self-hosted memory store. Zero hosted-coder dependencies. The fleet: - pmax-mousa — my own WhatsApp + Email + Google Workspace agent - pmax-tarek — my co-founder's Telegram + Email agent - pmax-dareen — our content creator's WhatsApp assistant (LIVE on real client chats) - pmax-content — background content ops - pmax-ops-observer — daily health reports - pmax-coder — my primary coding CLI, no hosted coder, no gateway The model dial — this is the part I'm most excited about: pmax-coder runs on GLM-5.1 native via the Z.AI Coding Plan (@Zai_org, quarterly $45). Direct to api.z.ai, no middleman, no OpenRouter tax. GLM-5.1 published the exact thing I needed — a frontier coder at a flat price I can plan around. I've spent the last three days heads-down just getting the system running. Not tweaking it. Not optimizing it. Getting it to stand up end-to-end without a single load-bearing piece silently falling over. Six profiles, one memory store, two hosts, a dozen services, launchd, Tailscale, native provider pinning, patch re-application, ghost-process recovery, bridge port collisions, FTPS quirks, CI cycles, Qdrant lock contention, Happy Eyeballs hangs — every one of them a real bug I hit and fixed before I could move on. The three days are the story. The five gateway profiles (pmax-mousa, pmax-tarek, pmax-dareen, pmax-content, pmax-ops-observer) all run on qwen/qwen3.6-plus via OpenRouter native Alibaba routing (@Alibaba_Qwen, @OpenRouterAI). I pinned native-only with a strict provider.only patch so nothing silently falls through to a more expensive lane. Offline fallback everywhere is gemma-4-31b-it-4bit served by oMLX on the Mac Studio. If OpenRouter or Z.AI goes sideways mid-conversation, every profile transparently fails over to local MLX inference and the user never notices. Swapping models is one YAML line. The real unlock: unified self-hosted memory. Every Hermes profile reads and writes one mem0 store on my MacBook (Qdrant + Ollama nomic-embed-text embeddings, zero cloud). Claude Code (@claudeai, @AnthropicAI) is wired to auto-broadcast every session turn into the same store via a Stop hook. The direction of flow is Claude writes, Hermes listens. Anything I decide in a Claude Code session is visible to the WhatsApp agents on my very next message. Nothing gets re-explained. Ever. Two-host architecture over Tailscale: MacBook (100.x.x.x) is the service layer. It runs mem0-server on 7437, task_server v1.1.3 on 7439, the guru-code router cache on 7450, the content-review webhook on 7438, all the Claude Code hooks, daily backup cron, and the mem CLI. Mac Studio M4 Max (100.x.x.x) is the agent layer. It runs Hermes v2026.4.13-118, all six profile gateways under launchd, the Hermes dashboard on 9119, the WhatsApp and Telegram bridges, and the Google Workspace OAuth session. Both hosts are pinned to IPv4 over the tailnet because macOS Happy Eyeballs was randomly hanging on IPv6 tailnet paths — one flag on every curl and ssh killed a whole class of flakiness. Huge credit to @brian_cheong — his push on idempotency-on-retries directly shaped task_server v1.1.3 (Idempotency-Key header on every write path), pipeline.py deterministic run_id dedup, and the guru-code router's response cache. Without that, retried agent actions would silently double-fire — a tool call would hit twice, a message would get sent twice, a file would get written twice. Whole classes of bugs I'll never write now. (btw I knew nothing abt idempotency bar — thanks dude) What else ships with the stack: Daily Qdrant and task_server backups with a 14-day rotation, plus a weekly full Hermes zip. Ghost-process immunity on launchd restarts (a startup_guard script kills any zombie api.py holding the Qdrant lock before mem0-server boots). A native-provider pinning patch that wires provider_routing.allow_fallbacks straight through to OpenRouter. A secret redactor that runs on every Claude Code turn end so OpenRouter keys, Anthropic keys, GitHub PATs, and Bearer tokens can never leak into transcripts. A mem audit command that scans the memory store itself for leaked patterns. And a `fleet` one-shot status command I can run from any terminal to get a color-coded snapshot of every service on both hosts plus GitHub Actions status plus the Hermes patch inventory. Over these three days I also pulled 98 commits of upstream Hermes in two passes (70 + 28) without losing a single custom patch. An update-check cron inventories every local patch weekly so nothing regresses silently. Upgrades are safe. That's the invariant I wanted and I finally have it. None of this is a custom AI platform. It's Hermes doing what Hermes does, plus a few surgical patches I kept small enough to re-apply on every upstream pull. The whole philosophy is minimal lock-in: use the upstream as much as possible, patch only the load-bearing seams, never fork. The point isn't that Hermes beats every other coder tool today. The point is it's mine. I own the model dial, the memory store, the tools, the hooks, the backup policy, the security posture, the failover behavior. When something breaks I fix it. When I want to upgrade I upgrade. When I want to swap models I swap models. No middleman. No platform. No rug pull risk. Reports from the field to follow.

@ChrisCamillo This guy is a bonfied moron

Retail’s biggest edge over Wall Street is hiding in plain sight.

@1752vc LOL that won’t respond to emails maybe

25+ investors you can reach out to right now. Amit Giladi — Giladi Capital Angie Parker — Alliance of Angels Aileen Lee — Cowboy Ventures Apryl Syed — Angel Investor Bettina Briz — Angel Investor Bond Sudarta — Investor Bryan Rosenblatt — Craft Ventures Caroline Duffy — Cowboy Ventures Cindy Ai — Dream VC Daniel Sciro — Investor Eric Wu — Incandescent Capital Joav Bally — Angel Investor Jonathan Bruck — Long Journey Ventures Karen White — 8VC Kareem Zaki — Thrive Capital Kasey Roh — Angel Investor Kelly Sims — Thrive Capital Leura Craig — Outlander VC Matt Shoss — Dragonfruit Ventures Matthew Ball — Makers Fund Michael Cheung — Makers Fund Michael Robinson — Craft Ventures Mike Walsh — Structure Capital Nada Shaheen — GB Ventures Neal Sarraf — Pre-Seed Accelerator Noa Khamallah — Don't Quit Ventures Paige Craig — Outlander VC Ross Robinson — Investor Sam Marchant — Inaugural Shail Kaveti — Early Stage VC Shaila Mohinani — Global Ventures Tom Baruch — Baruch Future Ventures Taissa Maleh — 1752vc Save this. Share it. Send that DM.

@DeRonin_ @dino11 Yea that’s bullshit you idiot

@dino11 yep, this engineer studied it and uploaded all params which help to prevent 98% of all possible errors he had this technology much longer than we, for few years he could easily do it and learn it

🚨 A google engineer automated 80% of his work with claude code.. he now works 2-3 hours a day instead of 8 while the system runs itself as CEO of Antrhopic predicted in this video (there's few more insights btw) [ what blew my mind ]: the entire setup takes 15 minutes.. not weeks > one CLAUDE.md file based on karpathy's rules > claude stops breaking conventions (violations drop from 40% to 3%) > 27 specialized agents ready out of the box > a dotnet app checks gitlab every 15 minutes > claude reads issues, creates branches, pushes PRs automatically [ the part nobody's talking about ]: claude code v2.1.100 is silently inflating your tokens by 20,000 per request.. you can't even see it your instructions get diluted.. quality drops.. and you have no idea why fix: one command, 30 seconds [ and the craziest part ]: between you and full automation there are 3 commands and one markdown file most developers will never set this up.. not because it's hard, but because they think it is full breakdown with every step is here

@MAKRealtyDE @WestsideLAGuy No because he didn’t go to one

@WestsideLAGuy Have you ever reviewed the syllabi from Ivy university courses?

High IQ Dr. Cameron gets it! Look folks. SEC is fantastic for producing beer guzzling bros with 30% body fat who marry young & take over their dad’s Ford dealership. But the ones who transform America? They’re coming from the elite colleges. This is reality.

@heynavtoor One of the worst AI bros on X. Fk you dumba33.

Buffer charges $6 per channel per month. Hootsuite charges $199 per month. Hypefury charges $29 per month. Sprout Social charges $249 per month. There's an open-source tool that replaces the entire social media scheduling stack. It's called Postiz. Not a basic scheduler. A full AI-powered social media command center that handles scheduling, content creation, analytics, and automation across 25+ platforms. From one dashboard. Here's what it does: → Schedule posts to X, Instagram, LinkedIn, TikTok, YouTube, Reddit, Facebook, Threads, Pinterest, Bluesky, Mastodon, Discord, Slack, Dribbble, Telegram, and more → AI generates your post content and creates images — Canva-like design editor built in → Full analytics dashboard — track what's working across every platform → Team collaboration — invite members, comment, review, approve before posting → Auto-post, auto-like, auto-comment when you hit engagement milestones → Full public API — automate everything with n8n, Make. com, or Zapier → Self-host it on your own server — zero monthly fees forever Here's the wildest part: The self-hosted version has every single feature the paid hosted version has. No feature gating. No premium tier lockout. No "upgrade to unlock analytics." Everything is included. Buffer: $6/month per channel. 5 channels = $30/month = $360/year. Hootsuite: $199/month = $2,388/year. Sprout Social: $249/month = $2,988/year. Postiz: $0. Self-hosted. Unlimited channels. Unlimited posts. Unlimited team members. Forever. #1 Product of the Day, Week, and Month on Product Hunt. Millions of Docker downloads. 28,000+ stars on GitHub. 5,000+ forks. AGPL-3.0 Licensed. 100% Open Source. (Link in the comments)

@DumbMoneyTV This guy is such a dumbass

This Was Always Amazon’s Endgame 🔭📈 $AMZN

@WestsideLAGuy You are clearly such a dumbass. More people does not reduce any market costs, clown. 🤡

White women are the biggest beneficiaries of mass immigration as it reduces their cost of living, elevates their sexual market value, & erodes rules based masculine social order. White men are most hurt by the radical demographic transformation of the U.S.