Super User Daily: July 15, 2026
The theme today was Claude Code and OpenClaw quietly becoming the operating system for whole businesses rather than a coding assistant. The standout cases weren't about writing software at all — they were tax bookkeeping run inside a session, a Beijing district official self-funding a billion tokens to build a county flood-prevention app in a month, a Kyiv marketer clawing back sixty hours a month and lifting revenue forty percent, and an architecture studio selling three-thousand-dollar concept packages before a human architect touches the project. The other current running through everything: cost discipline. People have stopped bragging about speed and started publishing their token bills, their model-routing configs, and the exact settings that turned a five-figure monthly spend back into pocket change. Obsidian-as-second-brain and the expensive-planner-cheap-executor split were everywhere. Below are the real ones, roughly in order of how much they'll change how you work.
@ytjessie_ [Claude Code]
https://x.com/ytjessie_/status/2076743980721873282
Pika shipped their 4K-VFX skill through MCP, and she edited an entire video inside Claude Code with it. The viral video she wanted to replicate turned out not to need a set at all: she shot it in her office parking lot and did the whole edit in Claude Code. The prompt she used is posted in the thread.
@keitowebai [Claude Code]
https://x.com/keitowebai/status/2076607568164921655
He built an entire homepage production company staffed only by Claude Code AI employees. The roster: a Director AI for requirements, site structure and scheduling; a Designer AI for wireframes and design proposals; a Coder AI for HTML/CSS, responsive work and feature implementation; a Writer AI for taglines and service copy; a Reviewer AI for QA and revision instructions; an Accounting AI that counts tokens used and keeps an Excel ledger in yen; and an Infra AI that prepares the publishing environment and ships the site. Planning, production, delivery and post-launch operations all run on AI staff alone. He also compiled 50 Fable 5 use cases alongside these Claude Code patterns and is handing them out in the replies.
@ai_300 [Claude Code]
https://x.com/ai_300/status/2076803869414158775
He turned Claude Code into a company-founding tool: feed it one GitHub skill URL at a time and a new department appears. Developer, designer, marketer, then finance, business operations and legal, all running in the same environment with zero hiring cost. The loop is three steps: paste the URL, have Claude analyze the repo, then implement after a safety check. His opening instruction tells Claude to load the URLs as internal skills, check each one's role and prerequisites, draw a department-by-department structure diagram, resolve duplicate features and conflicting settings, then implement starting from the minimal configuration. The skill list spans dev (Superpowers, Context7, Skill Creator, MCP Builder, Webapp Testing, Claude-Mem), design (UI UX Pro Max, Taste, Frontend Design, Transitions, Web Artifacts, Brand Guidelines), marketing, social, finance, Small Business and legal, and his advice is to add only the departments you need in order rather than firing them all at once.
@alex_prompter [Claude Code]
https://x.com/alex_prompter/status/2076727080402948561
Someone distilled Fable's problem-solving approach into a plugin any model can run, and after 159 agent runs, Sonnet plus the plugin matched Fable 10/10 on a research task. Three parts: fable-method gives any model a structured problem-solving loop with hard failure thresholds, fable-loop runs whole tasks with adversarial verification agents, and fable-judge treats every "done, all tests pass" claim as unverified and re-runs everything independently. Haiku went from 0/4 to 4/4 at catching a wrong test before "fixing" correct code, and the judge took Haiku from 3/5 to 5/5 on catching planted frauds in a fake completion report. The honesty is the selling point: on ordinary tasks with capable models it adds nothing, and the README says so. The repo keeps every failed version (v1 at 0/4, v2 at 1/4, v3 passing at 4/4) with raw judge transcripts, and the flowcharts came from recording actual tool calls from bare Fable agents rather than asking Fable to describe itself. Install with /plugin marketplace add Sahir619/fable-method then /plugin install fable@fable-method.
@AlexFinn [Claude Code]
https://x.com/AlexFinn/status/2076752798532931758
He built the Finn Loop, three skills inside his coding agent that he says 100x'd his vibe code output while cutting his own work by 95%. You run /spec "your idea", the skill interrogates you until it understands the idea, then writes a detailed spec into Linear. A separate Codex or Claude Code session runs a /build loop that picks up new specs, builds them, and advances the issue status in Linear. A third session runs /review, which checks security and optimization, tests the code in its own browser, writes test steps, takes screenshots, opens a PR, deploys to a Vercel test sandbox, and pings him in Slack with the PR, the testing steps and an executive summary. He reacts with a rocket ship emoji and the loop merges it. The only manual steps left are submitting the idea and verifying the change.
@mikenevermiss [Claude Code]
https://x.com/mikenevermiss/status/2076549980265844892
He pairs Fable 5 with Higgsfield to build animated scroll-driven websites in a single session for about $12 in AI credits, work he prices at $6,000 to $35,000 from an agency. Claude Code writes the layout, GSAP ScrollTrigger animations, Lenis smooth scrolling and responsive pages, then reviews everything before ship; Higgsfield generates hero videos, cinematic transitions, ambient loops and thumbnails. Setup is adding Higgsfield as an MCP server inside Claude Code and doing the OAuth login once, after which Claude pulls videos straight into the project with no manual exporting. The prompts are simple: hand Claude the brief, ask it to script the scroll experience, generate a hero video and clips per section, add film grain, particles, glass cards and scroll pacing, then let it review the site, improve loading speed and fix mobile layouts. He frames it as replacing a $6,000-$35,000 agency, an $800-$2,000 motion designer and a $2,000-$10,000 front-end developer.
@om_patel5 [Claude Code]
https://x.com/om_patel5/status/2076489370094252461
Someone vibe coded a Rubik's cube solver in Claude Code that scans your cube and solves it in 20 moves or fewer, the mathematical bound known as God's number. Point the camera at the cube and it reads the sticker colors on each face, captures all six faces, reconstructs the exact scrambled state, computes the shortest solution, then walks you through each move in a 3D guide. It runs entirely in the browser with no install and no backend, using OpenCV for cube detection and color reading that holds up under bad lighting, with the solver running in the background until it finds a path under 20 moves. In theory you only need to show it three sides.
@masahirochaen [Claude Code]
https://x.com/masahirochaen/status/2076637661062938810
He had Claude Code build a landing page in two hours, and it went on to rank #1 in SEO, pull in over 100 inquiries, and convert to 30 million yen in first-month orders. His point is that the automated blog updates aren't the real lever: the operational flow that keeps people from bouncing after they inquire and carries them through to a meeting and a signed deal is where the money is. The video walks through building the LP skeleton in two hours, the page speed and structured data behind the #1 ranking, AI blog automation and rank improvement, the automatic path from free diagnostic to booked meeting, piping inquiry notifications into Slack, funnel visualization for sales management, and using AI to make a 70-page deck plus video. The video edit itself was also done entirely in Claude Code.
@MyWestLord [Claude Code]
https://x.com/MyWestLord/status/2076703919871348767
A guy in China wired Andrej Karpathy's method into Claude Code and revived a dead Obsidian vault: 956 files nobody reopened, 80 saved tabs, zero clicks in six months. The reframe was treating Obsidian as the IDE, Claude Code as the programmer, and his 5,000 notes as the codebase, so instead of asking AI questions it forgets by morning, it maintains a living wiki. Three commands run it. Ingest drops in an article, a podcast or a 40-page PDF and Claude splits it into atomic pages linked to what he already knows. Query answers from his own notes, in his own words, citing his own pages instead of guessing from training data. Close the loop turns every answer into a new note, and the vault went from 2,000 mostly-noise notes in week one, to 7,400 by month two, to 15,000 notes that argue back by month six. Folder layout and the exact prompt are in the reply.
@clairevo [OpenClaw]
https://x.com/clairevo/status/2076768243146965294
Her framing: local models aren't fast and aren't really cheaper than a frontier model subscription yet, but you can burn infinite tokens 24/7, and that's where it gets interesting. Which is why Alex Finn runs a fleet of Mac Studios, a DGX Spark and an RTX 5090 machine to power ambient AI across his business. In the episode Alex walks through how he picks hardware, using Tailscale to stay connected, how Claude Code and local models work together, and his software factory from the build loop to the rocket emoji. They also have the honest OpenClaw vs Hermes debate.
@Aykutuces [Claude Code]
https://x.com/Aykutuces/status/2076689997697110275
He laid out the full YouTube automation pipeline: connect Higgsfield MCP to Claude Code, write one prompt, and the system does topic research and scriptwriting in Claude Code, frame-by-frame image generation in Higgsfield (Sora 2, Veo 3.1, Kling 3.0 and Seedance 2.0 all under one MCP), character consistency via Soul ID so the same face shows up in every scene, image-to-video conversion inside Higgsfield, Turkish voiceover through ElevenLabs MCP, subtitles and editing, thumbnails in Canva or Nano Banana, and automatic YouTube publishing through the Google API. Total monthly cost is $40-60 versus the classic route's $500-1,000 in equipment plus hours of work. Build the pipeline once and you just drop in a brief saying what this week's topic is; the system manages the content calendar itself. He says the faceless YouTube window in Turkey is still open.
@legacyvps [Claude Code]
https://x.com/legacyvps/status/2076539537933889724
The stronger the model, the more you agonize: running Fable the whole time hurts the credit budget, but going back to Opus risks under-thought plans, and manually flipping with /model means you forget which one you're on. Claude Code now has an official answer: claude --model opus --advisor fable. Opus does the work and Fable becomes an advisor, with Claude deciding when to consult it, before submitting a plan, after repeated errors, and at final acceptance. Two caveats: run claude update first because older versions lack the flag, and the advisor must be at least as strong as the main model (Fable over Opus fits). Add "advisorModel": "fable" to settings.json and you get the split by default. Saving money isn't about using the good model less, it's about only letting it show up where it's worth something.
@fal [Claude Code]
https://x.com/fal/status/2076675916244131860
Seedream 5 is a storyteller's best friend, and this scene was made entirely in Claude Code using the fal GenMedia CLI to generate the images, sound effects and music. The main edit was done in Claude Code too, with help from HyperFrames. The film is called "Lord of Dreams," and the full workflow tutorial is on YouTube.
@dr_cintas [Claude Code]
https://x.com/dr_cintas/status/2076739540094427218
Running Fable 5 for everything wastes tokens, so he has Fable 5 review the whole project and then hands execution to a cheaper model. Step one is installing the new Superpowers skill, via /plugin install superpowers@claude-plugins-official in Claude Code, the /plugins search in Codex CLI, or /add-plugin superpowers in Cursor. Step two is a prompt that runs the brainstorming skill first, forcing Claude to ask what the project is for and what you're optimizing for before assuming anything, then read all the code, docs, config and folder structure, then review across four lenses: what's overbuilt or redundant, where it's fragile, what's missing for the goal, and where the structure fights the goal. It then uses the writing-plans skill to convert the review into a ranked plan with what, why, which files, order and verification for each change, with open questions at the top. Step three hands that plan file to Opus or GPT-5.5 to execute. Fable costs a lot per token, but you only pay for the thinking.
@masahirochaen [Claude Code]
https://x.com/masahirochaen/status/2076711003254055412
Claude keeps pulling what he calls the "Fable 5 flat-rate is ending" move every week, so he blew through his Claude Code usage limit on a single weekend. The weekend's numbers: 564 instructions, 66 sessions, 2.79 billion tokens including cache, and 7,955 tool executions. AI was supposed to make him efficient, but the number of things he can do and wants to do exploded, so he spends weekends glued to the computer too. Ideas keep coming, which is good, but he's not sure working more hours is.
@mikefutia [Claude Code]
https://x.com/mikefutia/status/2076490384830783547
Claude Code plus ChatGPT Images 2.0 turns one brand URL into 40 production-ready static ads. You give Claude a brand name and a URL; it researches the brand's fonts, colors, packaging and photography style, builds a Brand DNA document from scratch, fills 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details, fires every prompt to ChatGPT Images 2.0 with your product photos as reference, then downloads the finished ads into organized folders with an HTML gallery. No manual prompt filling, no Canva templates, no copy-pasting between tools. The text renders correctly even with dense copy, logos and callouts, real packaging shows up in every ad, and the pipeline is reusable: new brand, new folder, same system. Built 100% in Claude Code, aimed at DTC brands and agencies that need launch-volume creative weekly without briefing a designer.
@monokern [Claude Code]
https://x.com/monokern/status/2076692127120028083
He asks his AI for a daily business recap and it already knows everything: 4 new clients and $11,500 new MRR, 23 prospects found, 18 cold emails drafted, 1 call booked for tomorrow, best ad identified and the weakest one already paused. It works because the AI has context, everything stored, connected and readable, which is what Obsidian gives you when Claude Code writes to it after every session. Claude Code runs the pipeline on one command, NotebookLM does the analysis on Google's servers, and Obsidian stores everything so Claude reads it all before answering anything. The vault grows every day and the outputs get sharper every week.
@MichLieben [Claude Code]
https://x.com/MichLieben/status/2076654893675487672
He had Claude Code read 6,750 LinkedIn posts from 25 creators who go viral consistently and pull out exactly why they win across AI, sales and content. He ran it because those same patterns are what grew his own LinkedIn past 75K followers, and that growth is a big part of how they pushed ColdIQ past $7M ARR. The free guide covers the hooks, topics and post lengths that land and the ones that quietly kill reach, the 3 formats sitting behind 82% of every post over 500 likes, what shifted between 2025 and 2026, his step-by-step for breaking through in your own niche, and how to turn engagers into clients with their cold email workflow. Comment "6750" and he'll DM it.
@Jeremybtc [Claude Code]
https://x.com/Jeremybtc/status/2076456981829955697
Claude Code spawning 100 agents and burning 3 million tokens in 10 minutes to complete a simple task. He posted the receipt.
@doesdatmaksense [Claude Code]
https://x.com/doesdatmaksense/status/2076642415767965701
She and Hamel Husain spent the last few weeks testing whether automated evals actually work. They took 100 real production traces from an apartment-leasing voice agent, manually reviewed the failures, masked the labels, then asked different systems to do the same error-analysis task and discover the failure modes. The lineup included dedicated eval platforms Braintrust, Arize and LangSmith alongside ChatGPT, Codex, Claude Code and Factory Droid. Full post is linked.
@bounceidc [Claude Code]
https://x.com/bounceidc/status/2076579541921980548
He built a premium $8K-tier brand site with three tools open and nothing else, no Figma tab, no plugin store, no agency, and out came a black-and-red site that scrolls like a studio cut it. Claude Code writes every line of code, the layout, the motion and the page structure. GPT Image 2 generates the hero visuals, section art and icons. The hyliox skill sits inside Claude and drives the design language so the whole site holds one black-and-red identity end to end. No other apps, no designer briefed, no stock photos bought: the colors, type, images and code all come out of the same three windows, while the local brand studio is still charging $8k for a moodboard deck and calling it phase one.
@tetumemo [Claude Code]
https://x.com/tetumemo/status/2076670216898302000
agmsg lets AI agents message each other directly, and he says it's absurdly useful. Before, he was copying Claude's output, pasting it into Codex, copying again and handing it to another AI by hand; with agmsg the agents just talk to each other and the work moves on its own. His setup: Codex as editor-in-chief giving overall direction, Grok Build and Hermes Agent doing X trend research, Claude Code writing the posts, Gemini checking the research, and Codex doing final review. Because different models converse on their own, you can give each AI a personality and run them like a company, though he admits GPT-5.6 Sol plus Claude alone is honestly enough since they cover each other's weak spots. He recommends installing it as AI staff while Fable 5 is still available, and says non-engineers can get it working by throwing the repo URL at Claude Code or Codex and talking it through.
@mattworkman [Claude Code]
https://x.com/mattworkman/status/2076678057964794260
RIP fal's Anthropic bill. He made an entire Seedream 5 film inside Claude Code with Fable 5, which also generated the little storyboard interface shown in the post, using the GenMedia CLI. Then he finally integrated HyperFrames to automate the edit of the audio voiceovers against the stills, completely in Claude Code. He's been challenged to do the same thing with Codex Sol, so that's next week's project.
@sairahul1 [Claude Code]
https://x.com/sairahul1/status/2076724433293861315
He runs Claude Fable 5 and GPT-5.6 in the same session, Fable 5 as orchestrator and GPT-5.6 as executor with 10 subagents in parallel, and says it cuts Fable 5 token consumption by at least 60% and ends the 5-hour limit problem. Setup is installing the Codex plugin inside Claude Code (/plugin marketplace add openai/codex-plugin-cc, /plugin install codex@openai-codex, /reload-plugins), telling Fable 5 to run /codex:setup and verify the codex:codex-rescue sub-agent, authenticating your ChatGPT account once, then giving Fable 5 delegation rules: Fable 5 does planning, repo understanding, architecture and final review, and codex-rescue executes heavy implementation, debugging, test fixing and multi-file edits via /codex:rescue. On model tiers, GPT-5.6 Sol medium is the daily driver at DeepSWE 61 and $1.86 doing 80% of execution, GPT-5.6 Sol extra high plans at DeepSWE 71 and $4.70, beating Fable 5 extra high's 70 at $13.41, and GPT-5.6 Terra/Luna is pure execution once the plan is locked. His ultimate three-model workflow: plan with GPT-5.6 extra high, critique with Fable 5 high, execute with GPT-5.6 Terra/Luna, plus tips to turn it into a Fable-GPT skill, run 5-7 parallel subagents on the Codex 20x Pro plan, and clear context after 4 compactions using a /handoff skill.
@TheZachMueller [Claude Code]
https://x.com/TheZachMueller/status/2076746035758502275
For the first time since Claude Code came out, he moved one of his real work pipelines to pi.dev and open-weight models, and after a weekend of fighting with it, he prefers the report it produced: 36 pages versus 21 from Claude, more information-dense, prose he liked more, and pennies compared to the Claude API. It doesn't save on speed, taking 30-40 minutes instead of ~20, but it runs off resources he already has so he doesn't mind. The setup was one 8xB200 node split 4/4 between GLM 5.2 NVFP4 as the main agent/driver and Kimi K2.7 Code NVFP4 as the retriever. The dumbest fix along the way: he'd been summarizing sources into briefs to save context, then into notes, losing information at each hop, and ended up just saving all articles directly to disk so he had multiple layers of retrieval to work with.
@kakehi_ [Claude Code]
https://x.com/kakehi_/status/2076471365256003794
Built a Claude Code skill that turns a client brief (orientation) into a full proposal automatically: feed in the orientation and it outputs analysis, problem definition, core idea, strategy, tactics, schedule, simulation, and budget. Rates the current output quality at 50-60 points, but says with hands-on tweaking it can reach more than enough quality. Plans to keep improving accuracy over about a month, and recommends users arrange it to fit their own workflow. Notes the sample images are fictional proposals, and the skill is priced high and aimed mainly at membership because it packs in a lot of know-how.
@LimestoneHQ [Claude Code]
https://x.com/LimestoneHQ/status/2076559490850165122
Summarizes an Anthropic benchmark where Fable 5 orchestrates and cheaper models execute, hitting 96% of Fable 5's performance for 46% of the cost, with BrowseComp accuracy of 86.8% vs 90.8%. Lays out three built-in Claude Code features to run it: subagent model pinning via a file in ~/.claude/agents/ with model: sonnet, per-agent effort levels where low effort on Fable often matches previous-gen max, and a CLAUDE.md delegation policy using role names not model names. Flags a gotcha: since v2.1.198 the built-in Explore subagent inherits your main session model, so running Fable or Opus bills every background search at that tier, fixable with a user-level Explore agent set to model: haiku. A second pattern, Sonnet executor consulting Fable advisor, hit ~92% at ~63% cost on SWE-bench Pro, but the orchestrator split won on both axes. For zero config he suggests /model opusplan, plus a full six-agent version linked in reply.
@konmari_tweet [Claude Code]
https://x.com/konmari_tweet/status/2076784569089773677
Made a virtual office background in two steps: first asked Claude Code to build an HTML base as a 2D metaverse-style office, then handed the screenshot to GPT Image 2 to repaint the art style. Says pure image generation made it very hard to specify the right layout and overhead angle through prompts, but this approach nailed the image in one shot. Notes you can now quickly build games and sites in HTML lately, and swapping the background for an image makes it much easier to express a world's atmosphere, so recommends image backgrounds.
@dan__rosenthal [Claude Code]
https://x.com/dan__rosenthal/status/2076743530383298663
Runs an agency on a model he calls AI-Native Services, with Claude Code now the most-used interface across 20 team members. The whole company dataset lives in one GitHub repo called Company OS containing company/, wiki/, clients/, raw/, a plugin/ of 26 agents, 23 commands and hooks, and 79 Claude skills, while every client gets a private repo with the same engineering pattern. Their MCP and CLI engine wires Claude into GitHub, Findymail, Google Workspace, Airtable, InstantlyAI, Slack, Apolloio, Notion, HeyReach and more so Claude acts rather than just advises. Guardrails gate 94+ risky operations, governance is PR-based, and agent swarms split tasks into 5-20 sub-agents. A self-improvement loop uses n8n to sync stack data back into Company OS and Pinecone to store past content and performance metrics.
@tonkotsuboy_com [Claude Code]
https://x.com/tonkotsuboy_com/status/2076641285847626082
Points out that cmux recently implemented an official diff tool that lets you send instructions to Claude Code or Codex straight from code diffs. You enable TextBox (beta) in settings and restart, then trigger it with a shortcut key or by asking Claude Code to run cmux diff, which launches the Diff Viewer. Comments you make on a diff get attached to the TextBox, from which you can send a message to the AI agent. Notes Warp had a similar standard diff-plus-AI-instruction feature, and is thrilled it now comes built into cmux.
@coreyhainesco [Claude Code]
https://x.com/coreyhainesco/status/2076705772155871621
Made a skill that does podcast guest research automatically: /deep-research takes a name and sweeps the web, X, Reddit, LinkedIn, the person's site, and recent interviews, then returns a cited brief covering career arc, hot takes, smart questions to ask, and landmines to avoid. Every brief is archived so the research compounds over time. It is part of Maker Skills, 18 free open-source skills for founders and operators, installable in Claude Code via /plugin marketplace add coreyhaines31/makerskills.
@DeVillefor [Claude Code]
https://x.com/DeVillefor/status/2076489620066377858
Describes someone who built a second brain based on a methodology from an Andrej Karpathy video, and it ingests his life while he talks. He ran a second brain on Notion for a year, then rebuilt it with Claude Code and Obsidian using a method picked up from an early OpenAI researcher, calling it actually crazy on camera. The system works as a control hub where concepts, people, projects, and meetings flow in from Claude, Gmail, and Notion, landing sorted, linked, and automated with task and time management on one screen. His argument is that most second brains fail because people build them complex and rigid, whereas his customizes to the owner instead of forcing the owner to adapt. The standout moment is that the system updates itself in the background of the conversation, filmed working rather than diagrammed, and where this once needed a Notion consultant it now needs Claude Code and a weekend.
@maxxmalist [Claude Code]
https://x.com/maxxmalist/status/2076732306694550008
Says AI ads are insane and the only thing stopping you from finding a new winner format is your creativity. Claims this is the first time ever you can test hundreds of new ads every week for less than $1 each, with each one taking just 10 minutes to make. Adds that it can all be fully automated with Claude Code, generating dozens of videos in just a few minutes, and urges people not to miss the AI gold rush.
@jaredrhod [Claude Code]
https://x.com/jaredrhod/status/2076801233768063219
Is giving away a full visualizer setup built entirely with Claude Code and Obsidian, grabbable on his site. Working with his agent Jarvis, he figured out how to run it as a single HTML file in Chrome, with the drawing engine being the browser's built-in Canvas 2D API driven by vanilla JavaScript, no libraries, downloads, or frameworks, working offline. It responds insanely fast after much trial and error, can be interrupted, has different animations for every part of the sequence, and does a flyover. He adds that Jarvis also controls all his ad accounts, writes his sales emails, builds his landing pages, generates his images, monitors his tech stack, and calls him on the phone if there's a problem, and the build prompt is on his site.
@aigclink [Claude Code]
https://x.com/aigclink/status/2076685499830563103
Highlights a package of 47 AI skills that bundles a whole marketing team (CRO, copy, SEO, growth, pricing, GTM, strategy) so Claude Code can act as half a CMO. The foundation of every skill is product-marketing, which any other skill reads first to get your product, audience, and positioning, and skills cross-reference each other (copywriting to cro to ab-testing, customer-research feeding copywriting/cro/competitors), replicating a real team's shared context and division of labor. Each skill also ships with references/ (a method library) and evals/ (actual evaluations), making it production-grade rather than a pile of prompts. Calls out several standout skills: marketing-council simulating an advisory board of expert perspectives, marketing-loops running self-driving cyclical marketing workflows, ai-seo optimizing for being cited by LLMs in AI-generated answers, and programmatic-seo generating pages in bulk from templates plus data.
@coldemailchris [Claude Code]
https://x.com/coldemailchris/status/2076804135983177875
Breaks down how to send 50,000 emails a month for $546 upfront, then $481/mo. The stack: Smartlead at $94/month, 21 .info domains from Porkbun for a one-time $64.89, 62 Google inboxes via Scaledmail at $238/month, Claude Code Max for scraping leads at $100/month, and Millionverifier at $49/month. Calls it a base stack for pushing solid volume and says no other marketing channel beats this cost efficiency for the sheer volume you get.
@AI_Caffeine [Claude Code]
https://x.com/AI_Caffeine/status/2076546917862187513
Argues Claude Code is not just a coding tool, pointing to a repo called claude-code-recipes that organizes repetitive office work (meeting minutes, weekly reports, email replies, document summaries, PPT outlines, research, data cleanup, OKRs, performance reviews, sales materials, contract risk review) into directly executable workflows. The key is that it targets knowledge workers rather than developers. It splits 100 recipes across 10 work scenarios covering management, strategic analysis, communication, ops/compliance, HR, sales, and project management, each recipe including the use situation, execution steps, prompt, sample output, and troubleshooting. The three most-used are offered as installable Claude Code Skills, and a paid version lets you use 200 recipes directly as slash commands.
@doodlestein [Claude Code]
https://x.com/doodlestein/status/2076480499401249006
Reports running 11 projects in a single ntm swarm managed by one Claude Code Fable driver over 2 days, using 2 models per project (Fable xhigh and Sol Ultra). That works out to 2*11+1 = 23 full agent instances. Says the results were a lot of wild speedups, ranging from 2x to 72x.
@credistick [OpenClaw]
https://x.com/credistick/status/2076659588787507325
Cites research that venture capitalists benefit from broad networks (many connections) rather than deep networks (strong connections), probably because close relationships warp what should be rational, arms-length decisions. Notes analysis of VC networks by @murphcapital shows this broad-network profile is a particular strength of solo/duo GPs, who have the most relationships per person. Raises the question of how such small teams manage large networks and use them to create value for founders. Introduces Wolfie, @enricomellis' cybernetic teammate powered by @openclaw, which tracks which LPs might be able to help with particular founder requests.
@Axel_bitblaze69 [Claude Code]
https://x.com/Axel_bitblaze69/status/2076774225600544793
Breaks down an AI coding setup by @AlexFinn that basically runs itself: you give it an idea in the morning, one agent writes the spec, another builds it, and a third reviews it, tests it in a browser, and deploys it to a sandbox. Then it pings you on Slack and you tap an emoji to ship it, which is the only manual step. Sums up the workflow as wake up, drop ideas, review at night. Adds that he shared the tweet to his own Claude Code setup and asked it to build the same setup, and it was already working on it while he typed.
@eng_khairallah1 [Claude Code]
https://x.com/eng_khairallah1/status/2076735507015307735
Claims someone figured out how to get Claude Fable 5 reasoning inside GPT 5.6 with one AI agent, framing it as a window that just opened since gpt-5.6 dropped and Fable 5 disappears in 24 hours. The steps: open Claude Code and install OpenAI's Codex plugin, type /model and choose Fable 5, drop a ROUTING.md in the repo root (full file in comments), then paste a prompt (in comments) describing the feature you want. Urges people to save and bookmark it, calling it the most productive thing you'll do this weekend.
@Axel_bitblaze69 [Claude Code]
https://x.com/Axel_bitblaze69/status/2076754160087957987
Built a Claude Code setup that tells him exactly what to post by studying his niche, finding what's blowing up, and handing over topics, acting like a scout that reports what's popping off and why. Needs three beginner-level things: a paid Claude account, the X MCP connected to Claude, and a list of 10-15 accounts in your niche. Setup involves making an X developer app with pay-per-use billing, adding a custom connector in Claude Code Settings so Claude reads X live, then telling Claude to pull every post from those accounts over the last 7 days with view and like counts. The key trick is ranking not by likes but by posts that beat each account's own average views, keeping the top 2-3 each for about 30 real winners, then having Claude break down each winner's hook, format, why it beat their usual, and the topic rewritten for your niche. Notes reads cost about $0.005 per post and that it automates research, not taste.
@Voxyz_ai [Claude Code]
https://x.com/Voxyz_ai/status/2076773591941525720
Shares a long prompt to run a coding-agent performance audit on your computer using only built-in, read-only tools, without spawning subagents or modifying anything on the first pass. It detects macOS or Windows, records hardware first, and takes several samples of CPU, load average, memory pressure, swap growth, disk I/O, free space, thermal throttling, sleep blockers, displays, and process counts. It aggregates process families across AI tools (Codex, Claude Code, MCP servers, indexers, headless browsers), development runtimes, and background helpers, then inspects startup items, launch agents, services, and stale VPN/DNS/proxy entries. Every item gets classified (active/idle/orphaned/duplicate/unknown) with evidence, expected benefit and risk, and reversible commands. It requires item-by-item approval before killing processes, deleting files, or changing settings, never disables security controls, and remeasures after each group plus a post-reboot check.
@app_sail [Claude Code]
https://x.com/app_sail/status/2076597327020916965
Shares a copy-paste delegation config for Claude Code: the main session (Fable 5) handles design, planning, orchestration, discussion, and research, doing trivial few-line edits itself rather than dispatching. Subagents get pinned per role: coding implementation to model: "opus", search/localization to model: "sonnet" with effort: "low", and review to model: "fable" with independent context that's given full diff scope and plan points. Explains that the main session model is fixed and CLAUDE.md rules won't auto-switch it (switching models invalidates the whole cache and re-bills), so rules take effect at subagent dispatch where model is specified per call or inherited. Adds an /advisor fable command as a tool the main model chooses to call at key moments (before starting, before finishing, when stuck, before changing direction), which forwards the whole session to the advisor model at that model's pricing each call.
@F2aldi [OpenClaw]
https://x.com/F2aldi/status/2076681729050566859
Reports what looks like a bug in OpenClaw where you can't use GPT 5.6 via the OpenAI provider. Since he happens to have balance at @JatevoId, he's trying to route OpenClaw through Jatevo instead. Because he has a VPS, he built Skills to give context about his VPS and his OpenClaw setup, so Codex will get updates.
@PenguinWeb3 [Claude Code]
https://x.com/PenguinWeb3/status/2076607339885736341
Describes an AI architecture studio model where the first $3K happens before the house exists. A client sends a site photo, rough floor plan, and a few references; Claude Code organizes the proposal and delivery workflow while a visual stack turns the brief into design directions, a render set, and a short walkthrough the client can react to. That early stage is already a product, with the guide pricing concept packages at $1.5K-$3.5K, then bringing in a licensed architect once the job reaches structural drawings, permits, and construction documents. The interesting shift is that one small studio can sell clarity before the building even enters construction.
@_guillecasaus [Claude Code]
https://x.com/_guillecasaus/status/2076641500922847370
Points to a repo called AI Job Search for finding work with Claude Code: you clone it, fill in your profile, and the AI analyzes job listings, adapts your CV, writes cover letters, and prepares each application automatically. Specifically it analyzes each offer and scores your fit for the role, generates a personalized CV highlighting the most relevant experience, drafts cover letters adapted to each company, and has a second agent review and improve everything before producing the final documents. Notes it is open-source, already past 21.7k GitHub stars, and automates much of the repetitive job-search process using Claude Code.
@pulmencr [Claude Code]
https://x.com/pulmencr/status/2076627977530462270
Tells of a 26-year-old from Canada who turned down a $6,200 project last month not because he was busy but because it failed one question he runs every request through: would I still be doing this every Monday in six months if I never touched it again. If no, it's a one-off and no amount of AI makes a one-off worth automating; if yes, it's infrastructure worth building once. He describes an automation in plain English straight into Claude Code and it generates the entire workflow structure in seconds, every node and connection ready to import, so one paste into n8n makes the whole visual workflow appear fully wired. The realization that changed his income was that his own pipeline could be sold instead of delivered, turning a documented repeatable process into a product. The workflow he built instead of that $6,200 job now sells to a new client roughly every ten days.
@RetroChainer [Claude Code]
https://x.com/RetroChainer/status/2076712135892025512
Tells of a 20-year-old who built a whole animated site with Claude Fable 5 and made $4,000 from it, with Fable building the entire thing overnight, running for hours alone and spinning up its own subagents. Warns that left unmanaged it also burns four figures in tokens and defends a wrong answer better than most people defend a right one, so he stopped prompting it like a chatbot and ran it like a hire: Fable makes decisions, a cheap model does the typing, keeping the same judgment at about 15-20% of the token bill. The stack is Claude Code (Fable, read-only, picks the highest-value task) to a cheap worker (deepseek, kimi) executing on an isolated branch, to a fresh Fable reviewing only the spec and diff before signoff. The one rule is that nothing grades its own homework, since an agent that grades its own work gives itself a raise. This turned four-figure runs into about $5 a day with one contract file, three trust tiers, and no self-grading or tiebreaker model.
@note_ai_mousigo [Claude Code]
https://x.com/note_ai_mousigo/status/2076521865321807941
Says list building can now be done almost entirely in Claude Code, and that despite the risk of writing it, he made 44 million in sales this year with AI alone, with the core being the list rather than going viral. He embeds the whole flow into a Claude Code environment: capturing 1,000 leads from a single article, nurturing them, and selling. His point is that ordinary people go viral, feel satisfied, and leave it there. He's placing all five of his config files below for people to copy and paste.
@kandmybike [Claude Code]
https://x.com/kandmybike/status/2076504387669598686
Shares an AI tax accountant news roundup for 7/7 to 7/13, framing it as the week AI came down to the field with five items spanning tool launches, practical cases, and regulator moves. Claude Cowork went into beta on Web, iOS, and Android on 7/7 starting with the Max plan, with over 90% of usage being non-software-development, roughly half business operations and content creation. Also notes freee set up a new AIBP organization under its CAIO on 7/6, an inexperienced tax accountant built a business app in half a day with Claude Code at a 50-client one-employee firm, and SEVENRICH accounting fully automated monthly work with Claude Code plus MCP from voucher checking to journal entries and MoneyForward integration. The common structure across all of them: AI doesn't take over judgment but takes on first-pass input and execution, with tax judgment staying human, and even the National Tax Agency's 2026 report formally adopting predictive AI for taxation and generative AI for staff work.
@Rezzi_sol [Claude Code]
https://x.com/Rezzi_sol/status/2076709851003040098
Argues a $599 Mac mini might be the best Claude credit saver nobody talks about, not because it replaces Claude but because it stops you wasting Claude on tasks that never needed a frontier model. The setup runs Ollama locally and connects Claude Code through LiteLLM, letting Qwen handle routine coding, Gemma handle quick tasks, and local agents run summaries, tests, log checks, and cron jobs without charging per request. Difficult work is routed back to Claude: architecture, complex debugging, production code, high-stakes writing, and anything needing real judgment. The result is your boring 80% running locally and your expensive 20% staying in the cloud, meaning lower bills, private code, and no idle API spend.
@neil_xbt [Claude Code]
https://x.com/neil_xbt/status/2076579130238271942
Notes that full-service architecture firms charge $15,000 to $80,000 to take a client from concept to construction drawings, and most of that fee has nothing to do with the stamped legal documents, so that upstream phase requires no license and is entirely AI-augmented. His stack: Claude Code as the operations layer generating proposals and automating deliverable pipelines, midjourney plus controlnet for photorealistic renders consistent across iterations, SketchUp plus Claude API for accurate 3D massing with Claude generating ruby scripts for room layouts and wall generation, and Luma AI turning static renders into a walkthrough video that separates a $3,000 package from a $500 one. Notion plus Claude keeps a client portal updated automatically so a one-person studio projects large-firm professionalism, while a licensed architect network of 2-3 partners produces stamped construction documents for a referral fee split 40-60% in the design lead's favor. His point is the gap between an unlicensed AI hobbyist and a scalable design business is not the tools but the licensed partnership structure and positioning that keeps it legal.
@shmily7 [Claude Code]
https://x.com/shmily7/status/2076542124951273946
Replies that he wrote his own CLI to isolate five Claude Code and three Codex subscriptions. The conversation records are shared and only the credential files are isolated. He launches the different accounts quickly via aliases. At the same time he pins them all to one fixed exit IP so the accounts don't get banned.
@imwsl90 [Claude Code]
https://x.com/imwsl90/status/2076606557488619532
Says everyone can now use AI to write the software they want. He spent the afternoon using Claude Code to refactor a website, writing a benchmark site into the refactor path so Claude Code learned its CSS design and then refactored the whole page, and was very satisfied with the result. Even though the site is HTML/CSS/JS rather than an SPA, development efficiency was still very high and it got done quickly, with him only needing to direct the AI to change page content and test the flow. Reflects that this is the golden age for programmers because you can make whatever you want, but also a dark age because making things is so easy that selling them is still hard.
@tom_doerr [Claude Code]
https://x.com/tom_doerr/status/2076777942831489171
Notes a project that equips Claude Code with 199 bioinformatics skills for RNA-seq, single-cell analysis, and drug discovery. Reports it boosted BixBench scores from 65% to 92%. Includes links to the resource.
@milbon_ [Claude Code]
https://x.com/milbon_/status/2076655703369109787
Reports building a high-converting LP for e-commerce with Claude Code and linking it to GitHub, saying Fable is just too crazy. States a goal of reaching roughly 10 million yen in monthly revenue for a second store within two months.
@milindlabs [Claude Code]
https://x.com/milindlabs/status/2076772457936200087
Built a calendar for your Claude Code and Codex sessions so you stop losing sleep over rate limits, installable via npm install -g agentcalendar. The best part is you can queue a prompt for the exact second your window resets, so if the reset is at 3am the job fires and you don't have to. You can even nudge your reset timing so windows open when your day starts rather than at 2am. The pitch: your agents don't need sleep, you do.
@JulianGoldieSEO [Claude Code]
https://x.com/JulianGoldieSEO/status/2076728365902651901
Built a voice agent called Hermes Apollo that runs his computer without a keyboard, and unlike Siri it actually builds things rather than just answering. You speak naturally while the panel is open, ChatGPT's Realtime API replies with almost no pause, and Apollo chooses the right tool and performs the task. It can open Google, Obsidian, apps, and websites by voice, research SEO keywords and generate ideas, build a working agency website in roughly 90 seconds, and save every conversation and creation inside an Obsidian memory system. The full Agent OS also includes Hermes Agent, GPT-5.6 inside Claude Code, and Hermes Oracle for daily competitor and keyword research. His lesson: voice agents become useful when they have a brain, tools, memory, and permission to act, not when they only talk back.
@ankimopz [Claude Code]
https://x.com/ankimopz/status/2076660375509197106
Shares his first-ever electronics project. He'd planned to make a Stack-chan into a Clawd, a buddy that would tell him about Claude Code approvals. But at his daughter's request it became an ota-gei (idol-cheer) dancing robot instead.
@shinshin86 [Claude Code]
https://x.com/shinshin86/status/2076669184621371618
He built and released a repository for adding motion to Live2D models using Claude Code or Codex. The README ships with a quick-start prompt, so you just feed that prompt to the agent and it handles the work. It also comes with a web UI for checking the motion, which is what the attached video demonstrates. The whole loop from instruction to visual verification stays inside the repo.
@NavotV [Claude Code]
https://x.com/NavotV/status/2076595155486785661
He shipped a new version of his tool with a clip generator built in. It picks the moments with the strongest hook for a clip, cuts them, and automatically tracks whoever is speaking in the frame. It then burns in bold Hebrew subtitles. Everything runs from the CLI or directly inside Claude, with no web interface and no API key required, so you can just use a Claude Code subscription.
@matthew_d_green [Claude Code]
https://x.com/matthew_d_green/status/2076782334511104146
He asks whether "open up a Claude Code (or Codex) session" has quietly become the default way to start any piece of work. His own example is that he started doing his tax bookkeeping this way. It is a short observation, but it points at agents leaking out of software work and into ordinary admin tasks.
@wad0427 [Claude Code]
https://x.com/wad0427/status/2076458837213663355
He built an online course in three days with Claude Code and it sold 300,000 yen. Making a Udemy course the normal way means curriculum design, scriptwriting, slides, recording, and editing, which is a two to three month project even if you rush. With Claude Code the curriculum design took two hours, script generation took three hours, and slides took half a day, for three days total. He says it is not about talent but about sequence and tools, and he is going to demo the entire three-day process at a seminar starting July 16.
@poezhao0605 [Claude Code]
https://x.com/poezhao0605/status/2076590835962134684
A Beijing district official paid out of his own pocket for 1 billion tokens of Claude Code and spent a month building a flood prevention app for his county. It tracks every geological hazard point in the district, monitors evacuations in real time, and navigates to risk sites with one click. The author contrasts this with the corporate layer he analyzed last week: Alibaba's ban, Anthropic's hidden tracking mechanism, and the export controls that started the chain. Here a government official self-funded a foreign AI tool to build public safety infrastructure, with no corporate mandate and no reimbursement, just reaching for the best tool available regardless of which side of the split it sits on.
@degenpiz [Claude Code]
https://x.com/degenpiz/status/2076711956669497404
Someone built a living neural network inside Obsidian using Claude Code. It is a pulsing graph of 200+ neurons across layers named Prefrontal, Motor Cortex, and Hippocampus, firing in real time and connected to every .md file in the vault. A voice command of "Hey Jarvis, explain what I'm wearing" got an instant description of the maroon hoodie and black shirt underneath. Persistent memory is pulled from every .md file including notes, tasks, personality, and history, so there is no context loss and full recall across sessions. Setup is linked in his profile.
@KairosPraxis [Claude Code]
https://x.com/KairosPraxis/status/2076696160039821344
He argues Claude Code and Codex have made launching and managing a team of agents genuinely easy, and offers a concrete exercise to try on the GUI version. Prompt the tool to value your favorite stock, then have it create three agents: a fact checker, a model builder that constructs growth and multiple assumptions from first principles, and an adversary that attacks those assumptions. The main orchestrator manages the back and forth between the three and builds the final model, choosing between earnings, EBITDA, or revenue. He suggests comparing that output against what you get from one-shotting the whole model in a single prompt.
@mardehaym [Claude Code]
https://x.com/mardehaym/status/2076571982653428133
He found an open source agent skill called /last30days, MIT licensed and free, that reads X, Reddit, YouTube, TikTok, Instagram, arXiv, Hacker News, and Polymarket in one command. You give it a person, company, topic, or comparison, and it searches 18+ sources in parallel, scores results by real engagement, and synthesizes one research brief in under three minutes. Its differentiators are a pre-research brain that resolves the right handles, subreddits, hashtags, channels, and repos before any API call fires, cross-source merging so the same story becomes one cluster, full YouTube transcripts mined for the five quotable sentences, Reddit top comments with real upvote counts, and Polymarket odds backed by actual money. Install is /plugin marketplace add mvanhorn/last30days-skill for Claude Code, or npx skills add mvanhorn/last30days-skill -g for 50+ other agent hosts. Reddit, Hacker News, Polymarket, and GitHub work with zero config, and a setup wizard turns on X, YouTube, TikTok, arXiv, and Techmeme in 30 seconds.
@FavourYusuf1 [Claude Code]
https://x.com/FavourYusuf1/status/2076768769297281217
He walks through the decisions that made his vibe-coded app feel authentic instead of obviously AI-generated. He picked a SaaS product he liked, used Claude in Chrome to scan the entire site and extract its design system into a markdown file covering colors, button styles, and information architecture, then handed that to Claude Code and modified it to make it his own. He wrote the landing page copy himself, had Claude turn it into a Google Stitch prompt to visualize the app, then exported it into Claude Code and tweaked section by section. For the product itself he had already run the whole workflow manually in Claude Code for a hire he made, so he wrote a 21-page PRD spelling out every user action on every screen, from login to creating a role to importing job postings and resumes, then pointed Claude Code at a folder and built piece by piece.
@TheCodeMan__ [Claude Code]
https://x.com/TheCodeMan__/status/2076630254605500574
For months his entire Claude Code setup was a single CLAUDE.md file, and he kept re-explaining the same project conventions every session while the output stayed hit or miss. The fix was the rest of the .claude/ structure that almost nobody uses. The rules/ folder splits instructions by topic into code-style.md, testing.md, and api-conventions.md, and can even target specific paths in the repo. commands/ holds repeatable workflows as slash commands like the /review and /fix-issue he runs daily, skills/ load only when the task needs them so main context stays small, agents/ are sub-agents with isolated context, hooks/ run before or after tool calls and his blocks anything unsafe, and .mcp.json wires up external tools and lives in Git so the team shares one setup. If you adopt only one thing, he says make it the rules/ folder.
@CamilleRoux [Claude Code]
https://x.com/CamilleRoux/status/2076703350821724481
He uses the claude-seo plugin inside Claude Code to study the SEO of his sites and says it saves him an enormous amount of time. The plugin analyzes the site along with Google Analytics and Google Search Console, then proposes quality changes. He links a detailed writeup of his experience.
@smbcapital [Claude Code]
https://x.com/smbcapital/status/2076775612002566453
He built and backtested trading strategies with Claude Code and shares the walkthrough as a YouTube video. The post is the link itself, pointing to the full build and backtest process on video.
@theSethian [Claude Code]
https://x.com/theSethian/status/2076691874715213929
An AI influencer only works if she survives the second render, and this post breaks down what actually holds a character together. Tensor Alchemist took one Krea 2 portrait and moved the same woman through a rooftop penthouse, cyberpunk street, candlelit fantasy hall, snowy city, corporate office, red carpet, Renaissance painting, and Paris cafe with her face staying recognizable, running every edit locally on an RTX 5060 with 8 GB of VRAM at about 2.5 minutes each. But the failure modes are real: removing a lighthouse also deletes the man, removals can blur the whole image, and outfit swaps may leave the old skirt underneath or invent a turtleneck, with even the LoRA creator admitting facial geometry drifts. The fix in the linked article is storing the character as a JSON identity card with skin tone, eye color, jawline, asymmetry, distinguishing marks, body proportions, hair, and seed. Claude Code injects that file into every generation, so the identity can be versioned, diffed, or forked before Kling 3 renders the next video.
@WeiYipei [Claude Code]
https://x.com/WeiYipei/status/2076547325363994969
He has AI do his SEO, but deliberately not by writing articles first, which he says is the order most people get backwards. The correct starting point is having AI run a site foundation score covering technical health, page speed, internal link structure, and orphan pages, and only starting content once you clear 85. Then the task you give AI has to be specific: rank a keyword with roughly 1,000 monthly searches into positions 3-5 on Google's first page within two months, not a vague "do SEO for me." For execution he uses double verification, with Cola doing the work and Claude Code checking it, then Claude flagging problems and Cola patching them, cross-checking each other because two AIs catch far more than one. He notes GEO follows similar logic but weights citability, meaning the content has to read like an authoritative source worth quoting rather than optimizing keyword density.
@nikunj [Claude Code]
https://x.com/nikunj/status/2076775924650107151
Ramp's mission is saving money and time, but he was still hand-categorizing expenses and attaching receipts until he found their CLI, so he built the Ramp-Autofill skill. It finds receipts automatically from iMessage and Gmail, and if the receipt is a link it uses Playwright to convert the web page into a PDF and attach it. It fills in memos on who you were meeting using your Google Calendar events, and learns your memo style and your org's required categorization by reviewing past transactions, then auto-categorizes everything missing. It verifies its own work, flags discrepancies, and can run as a scheduled job. It is a simple drop-in for Claude Code, fully open source, and he used it over the weekend to clear the last 60 days of expenses.
@Divyyanshishrma [Claude Code]
https://x.com/Divyyanshishrma/status/2076623607049138485
Someone built an AI job search system for Claude Code that scored 700+ job applications and actually landed him a job, and it is now open source. It scans multiple company career pages, rewrites your CV per job, and even fills out application forms. The repo ships 14 skill modes including evaluate, scan, and PDF, a Go terminal dashboard, ATS-optimized PDF generation via Playwright, and 45+ companies pre-configured including Anthropic, OpenAI, ElevenLabs, and Stripe. GitHub link is in the post.
@Mayaikos [Claude Code]
https://x.com/Mayaikos/status/2076663477427454123
A creator built an Obsidian command center powered entirely by Claude Code, tracking 125,000 YouTube subscribers, 9.8 million views, and 196,000 Instagram followers in one live dashboard. There is an integrated terminal right inside the vault plus custom metrics on token burn, schedule, and automations, so he sees real-time context, file connections, and agent performance instead of the things the cloud hides. His knowledge base, research notes, content pipeline, and daily tasks all live in the same ecosystem, and one click lets Claude pull from years of private files. The setup runs a morning brief, content cascade, and weekly review, turning scattered ideas into shipped videos. His argument is that owning the workflow locally beats renting generic cloud tools, and the exact setup is on his profile.
@0xdimix [OpenClaw]
https://x.com/0xdimix/status/2076625903967170585
A 28-year-old marketer from Kyiv was burning 3-4 hours every day sorting emails and compiling analytics for clients. Instead of hiring an assistant he built a workflow agent using OpenClaw and the Claude API, deliberately avoiding local models because worse AI quality on a personal PC makes real delegation impossible. The agent now analyzes the inbox, extracts deadlines, checks databases, and prepares drafts automatically, with the human only reviewing and pressing a button. Month one saved 60 hours of routine, and by month six revenue was up 40%. His recipe: find the bottleneck, pick the single most repeated task, choose a reliable cloud model, and use something like OpenClaw to turn standard instructions into a workflow, because a chatbot answers a question while an agent works through a process.
@gabe_onchain [Claude Code]
https://x.com/gabe_onchain/status/2076741752816271783
As a solo non-developer he spent a few weeks building Pari-Market, a prediction market on Solana devnet, as his submission to the World Cup Hackathon on SuperteamEarn. You connect a wallet, deposit USDC into a YES or NO pool, and claim payouts from the browser, but instead of an admin decision or committee or token vote, the program CPIs into TxODDS's validate_stat instruction to check the match proof against a Merkle root TxODDS published on Solana. He built it with an agentic workflow: a harness in Claude Code coordinated specialized agents against a locked product spec and a few engineering loops, ending with 39 Rust tests passing. He then ran Codex CLI separately in read-only mode as a code reviewer, which caught two wallet-state bugs before submission. He is a PMM with 15+ years in marketing, and his takeaway is that the agents write the code but knowing when they are helping versus producing slop is the real job.
@whatafactukr [Claude Code]
https://x.com/whatafactukr/status/2076609939846394058
The founder of startup Turbo AI screwed up by disabling Fast Mode in Claude Code, and his 10 devs burned $30k of tokens in a month instead of $20k. After the change they barely noticed any difference in speed, which is the punchline. Still, they are not putting limits on the AI, because $10k is nothing next to what gets shipped.
@hisaju01 [Claude Code]
https://x.com/hisaju01/status/2076639715701522532
He runs task management in parallel through Claude Code, and regularly just asks it what he should do next. Because he does all of his work in Claude Code, he no longer gets stuck deciding. He recommends unifying your work interface into one tool the same way.
@SuguruKun_ai [Claude Code]
https://x.com/SuguruKun_ai/status/2076483781469565248
He spends 400,000 yen a month on Claude Code and 100,000 yen a month on Codex, and posted his exact split. Claude Code gets implementation, editing, final verification, deeper metacognitive opinion work, and design from scratch. Codex gets mass image production for diagrams and thumbnails, read-only research and log reading, computer operation, and design work that references other sites. For first-look diff review he uses whichever AI did not do the implementation, though Codex is stronger at it, and numeric fact-checking gets cross-checked across both systems. Over the last 30 days his actual log count was 794 Claude sessions versus 2,326 Codex sessions, and he says the split is about permissions, not performance.
@theSethian [Claude Code]
https://x.com/theSethian/status/2076767733946180087
Claude Fable turned a 1.8M-triangle AI-generated house into a usable game asset. Blender's built-in decimate tool, tested at 02:07, produced a 37K-triangle version but with warped textures, so the creator connected Claude Code to the same Blender project through MCP. Fable duplicated the original, rebuilt the UVs, transferred the visual detail onto the smaller model, and checked screenshots of each attempt, producing a clean 39K-triangle version after 28 minutes and several tries. It then turned the successful process into a Python script and ran it across eight more buildings, each finishing under 40K triangles. The full session took under two hours, 48 minutes of API processing, roughly 130K output tokens, and 300+ lines of Python, and the optimized buildings were dropped into a Unity scene to assemble a medieval village.
@karpachoq [Claude Code]
https://x.com/karpachoq/status/2076744721590804780
He sold one boring Claude Code tool for $2,000, and the client was not paying for code, he was paying for a weekly problem to disappear. The workflow it replaced was ugly: two CSV exports, one shared spreadsheet, manual rules, flagged rows, totals, and a report that burned 3 to 4 hours every single week. Claude Code made the boring middle fast, handling the parser, validation, export, error handling, and packaging. His point is that most builders chase SaaS subscriptions when the money is actually in removing a task the client already hates.
@kitsune_xbt [Claude Code]
https://x.com/kitsune_xbt/status/2076765535707258883
DoorDash's co-founder gave Claude Code to all 4,000 employees, and one engineer then did a code migration alone in 3 weeks that would have taken 4 engineers a full quarter. Andy Fang had stopped writing code years ago after Stanford, and Claude Code brought him back, so he is now shipping production code in 5 different languages himself. His rule for every engineering manager is to stop shipping prototypes and push real code to production personally, because it shows you exactly how far behind your team is. The teams moving 3 to 5x faster all did the same thing: they wrote their architecture rules into markdown files so the agent follows them. He frames this as how a $10M company now gets run by a handful of people, and links the full talk.
@ClimbingIDEON [OpenClaw]
https://x.com/ClimbingIDEON/status/2076579365249601594
A former department head at a US cybersecurity firm lays out the risks of running trading and AI agents on the same machine: prompt injection letting an AI abuse your PC, and backdoors or cron-launched malware opening outbound ports. His recommendation is to physically separate the trading PC from the AI agent PC and eliminate any communication between them, or if you insist on one machine, build port monitoring with AI that alerts on unauthorized traffic. His own setup uses OpenClaw for the work layer with Claude and Gemini as LLMs, connected to a chat app via API so he can invoke it from his phone. He periodically benchmarks Claude Opus/Fable token price against Gemini Pro and swaps between them, and just recently moved from Claude to Gemini because Opus is too expensive per token while Sonnet may not outperform Gemini. His framing for the one-PC choice is to price the maximum tail risk and compare it against the setup cost plus expected gains, and if you cannot tolerate the tail risk, separate the machines.
@Finaltoucch [Claude Code]
https://x.com/Finaltoucch/status/2076592516560720087
He created a 5-minute 3D animated explainer video using Higgsfield MCP and CLI combined with Claude Code. His read is that AI video creation is evolving fast, with both the tools and the workflows improving. His advice attached to the demo is blunt: find a way to make money with these things before it's too late.
@take_ai_mkt [Claude Code]
https://x.com/take_ai_mkt/status/2076607586095575062
He says it sounds like a lie, but he asked Claude Code to "build me a note sales operations team" and it actually produced a one-person note sales company. He shares the resulting structure in an attached image. The point is how little prompting it took to get a full operating setup.
@fujitech_ai [Claude Code]
https://x.com/fujitech_ai/status/2076665239647748597
He runs Claude Code and Codex in parallel as a standing setup, and wired his skills and agents so that updating one side automatically updates the other. After the initial configuration there is zero switching cost. That means if one side's accuracy drops, its servers go down, or he hits token limits, he can just keep working on the other. As a bonus, the two can review each other's output.
@yamachan_ai_log [Claude Code]
https://x.com/yamachan_ai_log/status/2076623968593969278
While bouncing his July plan off Claude Code, it cross-referenced his failure log and surfaced the entry "focused too much on new sales and neglected following up with existing customers." The callout stopped him cold, he went back and re-verified it himself, and ended up with a plan he actually believed in. His takeaway is that past failures now feed forward into the next decision instead of being forgotten.
@kotobukigraphic [Claude Code]
https://x.com/kotobukigraphic/status/2076457327587184825
He built an interactive screen with Claude Code featuring water surface, rain, and a rainbow orb you can touch. The images display randomly, and clicking the rainbow orb produces rainbow-colored ripples. He uploaded it directly under his homepage and also embedded it at the very bottom of the top page.
@Fujin_Metaverse [Claude Code]
https://x.com/Fujin_Metaverse/status/2076643556828295486
He asked AI to build something, went out, and it was finished by the time he got home. The target was Skool, the community platform hugely popular with overseas creators, where one example has 6,200 members paying 8,000 yen a month, roughly 50 million yen monthly or 600 million yen a year from a community alone. Skool's fatal weakness is that it is English only, and once you break down its features it turns out not to be that complex, so he wondered whether Fable 5 could just build it. What he actually did: open Claude Code, tell it "no approvals needed, do everything to the end," leave the house, come home to a finished product. It was a one-shot build at genuinely usable quality, in a domain that used to be hard even for vibe coding, and his broader point is that instead of paying Skool 150,000 yen a year with low customizability, you can have AI build your own platform and add features on demand.
@hitu_monke [Claude Code]
https://x.com/hitu_monke/status/2076673509825065155
Someone packaged a marketing agency into a GitHub repo you install with one command: an open-source Claude Code plugin that drops 33 marketing skills into your terminal covering CRO, paid ads, cold email, SEO, churn, and pricing. The count is not the story, what a "skill" is now is. It used to be a prompt saved in a doc that you pasted in, like "act as an SEO expert," and now the expert is a versioned package you install, fork, and pull like a code dependency, with all 33 sharing a base file every skill reads first so they behave as a team on the same context. Point the SEO skill at a real site and it doesn't return a score, it returns a checklist: 20 template pages wasting crawl budget, a broken h1, meta descriptions missing sitewide. His conclusion is that a specialist was a person, then a prompt, and is now a git dependency, and the model was never the product, the library of things you hand it is.
@QCXINT_ [OpenClaw]
https://x.com/QCXINT_/status/2076490318695088218
He found you can get AI API access through Databricks and the response speed is ridiculously fast. The setup he tested: create a Databricks workspace, open User Settings, go to Developer, open Access Tokens and Manage, create a token with AI Gateway scope, and check your organization's Base URL in the AI Gateway tab, noting the Base URL differs per organization. So far he can only access GLM-5.2 and can't fully confirm the backend is actually serving the exact model it claims, but the speed is extreme and it appears to support up to 1M context. The chain is Databricks to AI Gateway to Access Token to GLM-5.2 API, and he's still testing model behavior, context handling, and free-tier limits. He calls it worth testing for OpenClaw, Hermes, coding agents, or an AI router.
@fromzerotomill [Claude Code]
https://x.com/fromzerotomill/status/2076712006329974993
He lays out how AI digital products scale to $10k/mo with TikTok slideshows, on a 4-6 hour one-day build that produces 2+ months of content. The post format is content, content, content, content, ad warmup, app push, so the posts look like normal slideshow content and the product only shows up near the end. The workflow runs on three tools: Claude Code, socialclaw, and an image API from OpenAI, Gemini, or similar. Hour one is competitor research on TikTok with screenshots, hours two and three are Pinterest reference collection named slide_1_1.jpg so Claude Code can use them, hour four has Claude Code look at the images and use the OpenAI image API to generate 100 variations of each of five slide types for 500 images, and hour five is caption generation where you paste the competitor captions, Claude writes slide-by-slide text keeping early slides content-first, and overlays text onto images with ffmpeg. Then Claude schedules two posts a day per account and socialclaw handles upload, account management, and publishing. Ten accounts at twice daily means 20 posts a day, with 90% landing under 5,000 views but a few hitting 50k to 500k and some crossing 1m, and 0.1-2% of viewers clicking through to the product page.
@youcandoittooo [Claude Code]
https://x.com/youcandoittooo/status/2076462682837037397
He explains Claudex, a hack for running OpenAI's GPT-5.6 Sol model inside Claude Code. Step one is standing up CLIProxyAPI and connecting both Claude and Codex via OAuth so it acts as an OpenAI-compatible proxy. Step two is pointing Claude Code at that proxy by setting BASE_URL and TOKEN in ~/.claude/settings.json. Step three is making a zsh alias called claudex that specifies GPT-5.6 Sol plus the env settings at launch. The result is a hybrid: Claude Code's excellent agent harness, UI, and tooling with GPT-5.6 Sol as the model underneath, though he warns the account-ban risk is not zero so do it at your own risk.
🗣 User Voice
User Voice
Cost control is now the number one shared concern. Multiple builders published their token bills and the configs that fixed them — @clairevo laid out why local model fleets only make sense once you're burning tokens 24/7, and one team caught that leaving Fast Mode on had quietly turned a $20k monthly spend into $30k with no speed gain to show for it.
The expensive-planner, cheap-executor pattern has consolidated into a default. @Axel_bitblaze69 and others keep describing the same shape: a frontier model reads and decides in read-only mode, a cheaper model executes on a branch, and a fresh frontier model reviews — dropping four-figure token bills to a few dollars a day.
People want the harness to survive a single vendor. @Axel_bitblaze69 runs Claude Code and Codex in parallel with skills and agents auto-synced both ways, explicitly so an outage or a rate limit on one side never stops the work. The recurring request underneath is portability — keep my workflow, let me swap the model.
Non-coding professionals are the fastest-growing set of users and they feel underserved by coding-first framing. Tax accountants, marketers, architects, and bioinformaticians are all bending Claude Code into their domain — @degenpiz and others want the second-brain and business-ops patterns documented as first-class workflows, not clever hacks on top of a dev tool.
Rate limits, not capability, are what people hit first. @sun_hanchi burning 14% of quota a day on one loop is the shape of the complaint — the model can do the work, but the plan tiers weren't designed for agents that run all day, and users are writing schedulers just to time their prompts against reset windows.
Cost control is now the number one shared concern. Multiple builders published their token bills and the configs that fixed them — @clairevo laid out why local model fleets only make sense once you're burning tokens 24/7, and one team caught that leaving Fast Mode on had quietly turned a $20k monthly spend into $30k with no speed gain to show for it.
The expensive-planner, cheap-executor pattern has consolidated into a default. @Axel_bitblaze69 and others keep describing the same shape: a frontier model reads and decides in read-only mode, a cheaper model executes on a branch, and a fresh frontier model reviews — dropping four-figure token bills to a few dollars a day.
People want the harness to survive a single vendor. @Axel_bitblaze69 runs Claude Code and Codex in parallel with skills and agents auto-synced both ways, explicitly so an outage or a rate limit on one side never stops the work. The recurring request underneath is portability — keep my workflow, let me swap the model.
Non-coding professionals are the fastest-growing set of users and they feel underserved by coding-first framing. Tax accountants, marketers, architects, and bioinformaticians are all bending Claude Code into their domain — @degenpiz and others want the second-brain and business-ops patterns documented as first-class workflows, not clever hacks on top of a dev tool.
Rate limits, not capability, are what people hit first. @sun_hanchi burning 14% of quota a day on one loop is the shape of the complaint — the model can do the work, but the plan tiers weren't designed for agents that run all day, and users are writing schedulers just to time their prompts against reset windows.
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Eco Products Radar
Codex — mentioned across dozens of posts as the parallel harness people run alongside Claude Code, both as a competitor and as a review agent inside the same workflow.
OpenClaw — the default agent for non-coding execution and always-on personal automation, especially in the security and operations crowd.
Obsidian — the runaway favorite substrate for the Claude-Code-as-second-brain pattern; ingest, query, and lint commands over a Markdown vault showed up in a dozen independent setups.
MCP — the connective layer behind nearly every multimodal workflow, from Blender mesh optimization to faceless-video pipelines.
Fable 5 and GPT-5.6 — the two models people slot into the planner and executor seats; routing configs mixing them inside one session were a recurring genre.
Higgsfield — the media-generation MCP powering the day's video and ad-creative pipelines, paired repeatedly with ElevenLabs and fal.
Eco Products Radar
Codex — mentioned across dozens of posts as the parallel harness people run alongside Claude Code, both as a competitor and as a review agent inside the same workflow.
OpenClaw — the default agent for non-coding execution and always-on personal automation, especially in the security and operations crowd.
Obsidian — the runaway favorite substrate for the Claude-Code-as-second-brain pattern; ingest, query, and lint commands over a Markdown vault showed up in a dozen independent setups.
MCP — the connective layer behind nearly every multimodal workflow, from Blender mesh optimization to faceless-video pipelines.
Fable 5 and GPT-5.6 — the two models people slot into the planner and executor seats; routing configs mixing them inside one session were a recurring genre.
Higgsfield — the media-generation MCP powering the day's video and ad-creative pipelines, paired repeatedly with ElevenLabs and fal.
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