Samantha Pearlman Reed

@csakon Love this! What did you use to connect to telegram? Is this still Claude Code or are you using a Claw/Hermes agent?

I've hooked up my travel app to Telegram so my wife and I can both talk about the trip with our personal 24/7 travel agent. It knows our itinerary, confirmation numbers, and saves tasks. Kind of like a group driven ChatGPT session. Extremely helpful. x.com/csakon/status/…

My wife hired a travel agent for an upcoming trip. We paid $300 for an itinerary, but there was no flexibility and iterations took days or weeks. Once we got the itinerary, it was "book this now or lose it." Instead I threw our preferences in Claude and now have an app.

@everestchris6 @eptwts Reel

claude opus 4.8 + OpenClaw now finds restaurants with weak food photos, rebuilds their best dish into a cinematic reel, and mails the owner a postcard with the QR...on autopilot. here's how agencies can land recurring contracts with this system: - scans every restaurant in a city in real time - pulls their real reviews, ratings, and reviewer-uploaded food photos flags the weakest shot of their signature dish - samples the brand color straight from the restaurant's own dish photo rebuilds that exact plate into a cinematic 9:16 reel - writes a printed postcard about their best dish - mails it to the registered office, addressed to the owner, with a QR to the live reel every step from the scrape to the reel to the mailbox is automated reply "REEL" + RT and i'll send you a free guide so you can build this too (must be following so i can DM you)

@_guillecasaus @threadreaderapp unroll

🚨 Alguien acaba de resolver uno de los mayores problemas de Claude Code. Han creado una herramienta que elimina los límites de uso y evita que deje de funcionar cuando alcanzas el límite. Tiene más de 47k stars en GitHub, es gratis y open-source. Aquí te explico cómo instalarla 👇

@piyascode9 @threadreaderapp unroll

11. The Indeed Job Search Automation Strategist "You are a senior job search strategist who has helped 20,000+ candidates find roles in half the time by treating the job search as a systematic process — not a random scroll-and-pray approach on job boards. I need a complete job search system that generates interviews predictably. Systematize: - Target company list: identify 30-50 specific companies I want to work for based on role fit, culture, and growth - Job board optimization: set up alerts on LinkedIn, Indeed, Glassdoor, and niche boards with exact keyword filters - Application tracking: a simple spreadsheet tracking every application with company, role, date, status, and follow-up date - Daily job search routine: the exact 60-minute daily workflow that maximizes applications without burning out - Warm outreach strategy: how to find and message hiring managers directly instead of only applying through the portal - Referral generation: how to ask my network for introductions using a specific template that makes it easy for them - LinkedIn apply optimization: which Easy Apply jobs to target and which to skip (not all Easy Apply is created equal) - Recruiter outreach: the DM script to send recruiters who post relevant roles in my niche - Application quality vs quantity: when to customize every application (dream jobs) vs when to volume apply (safety net) - Weekly review and pivot: a Friday 30-minute review to analyze what's working, adjust strategy, and plan next week Format as a job search operations manual with daily workflow, tracking spreadsheet design, and outreach templates. My search: [DESCRIBE YOUR TARGET ROLE, INDUSTRY, LOCATION PREFERENCE, AND HOW MANY HOURS PER WEEK YOU CAN DEDICATE TO JOB SEARCHING]"

🚨 BREAKING: Claude AI just became your personal recruiter—and it’s insanely powerful. It can build your resume + LinkedIn profile like a $500/hour executive recruiter… for free. Here are 11 powerful prompts to help you start getting interview calls within 7 days 🧵👇 Bookmark this before it disappears. 📌

@shannholmberg @threadreaderapp unroll

Prompt: " You manage a personal knowledge base following the architecture in this reference: gist.github.com/karpathy/442a6… Read the full gist before doing anything. ## rules 1. Never mix wiki content with the users personal notes. wiki/ is your directory only. 2. Classify every source before extracting. Type determines extraction depth: - report/whitepaper: section-by-section - article/blog: key claims + evidence - transcript: decisions + action items + quotes - thread/tweet: core insight + context - code repo: architecture + patterns + dependencies 3. Every concept page must include a `## counter-arguments and data gaps` section. If all sources agree, find the strongest critique. Never let the wiki become one-sided. 4. Every wiki page starts with a TLDR line immediately after the title. One to two sentences. This is used for index scanning. 5. When a query produces a valuable answer (comparison, analysis, connection), save it as a new wiki page with `type: query-result` in frontmatter. Queries compound the wiki, not just ingests. 6. Every wiki page has frontmatter: ```yaml --- title: type: summary | entity | concept | comparison | query-result sources: [] created: YYYY-MM-DD updated: YYYY-MM-DD tags: [] --- ``` 7. Run a lint pass after every 5-10 ingests. Fix what you can autonomously. Flag anything that needs user input."

karpathys LLM obsidian knowledge base went completely viral this weekend I found 7 important things that separate a wiki you keep from one you abandon save this and send it to your agent (prompt in last tweet)🧵

@mikefutia Skill

Self-improving Claude Code skills are f*cking ridiculous 🤯 One loop → 10 test runs, scored against an eval, prompt rewritten, retested, winner kept. All inside Claude Code. Perfect for DTC brands and agencies who have built Claude Code skills but the output is still a coin flip: great sometimes, completely unusable the rest. If you've been editing your skill prompts based on vibes, re-reading every single output, adjusting one line at a time, running it again, and hoping this version is finally the one that sticks... This loop eliminates the entire cycle: → You define 3-5 binary eval criteria for your skill → Claude runs the skill 10 times with varied inputs → A separate evaluator scores every output against your criteria → It identifies the most common failure patterns across all runs → Rewrites the skill prompt to fix exactly what's failing → Retests and keeps the winner → Repeats until the score plateaus No manual prompt tweaking. No reviewing every output by hand. No "it worked that one time but I can't reproduce it." What you get: → A skill prompt that's been pressure-tested across 50+ automated runs → A scored improvement log showing exactly what changed and why → Eval criteria you can reuse every time you update the skill → A method that works on any skill: hooks, briefs, ad copy, scripts, reports Same loop AI labs use to improve their own models, applied to your creative workflow. I put together a full playbook showing how to set up the eval, the exact Claude Code prompt for the improvement loop, and starter eval criteria for the 5 most common DTC creative skills. Want the playbook for free? > Like this post > Comment "SKILL" And I'll send it over (must be following so I can DM)

@FarzaTV @threadreaderapp unroll

This is Farzapedia. I had an LLM take 2,500 entries from my diary, Apple Notes, and some iMessage convos to create a personal Wikipedia for me. It made 400 detailed articles for my friends, my startups, research areas, and even my favorite animes and their impact on me complete with backlinks. But, this Wiki was not built for me! I built it for my agent! The structure of the wiki files and how it's all backlinked is very easily crawlable by any agent + makes it a truly useful knowledge base. I can spin up Claude Code on the wiki and starting at index.md (a catalog of all my articles) the agent does a really good job at drilling into the specific pages on my wiki it needs context on when I have a query. For example, when trying to cook up a new landing page I may ask: "I'm trying to design this landing page for a new idea I have. Please look into the images and films that inspired me recently and give me ideas for new copy and aesthetics". In my diary I kept track of everything from: learnings, people, inspo, interesting links, images. So the agent reads my wiki and pulls up my "Philosophy" articles from notes on a Studio Ghibli documentary, "Competitor" articles with YC companies whose landing pages I screenshotted, and pics of 1970s Beatles merch I saved years ago. And it delivers a great answer. I built a similar system to this a year ago with RAG but it was ass. A knowledge base that lets an agent find what it needs via a file system it actually understands just works better. The most magical thing now is as I add new things to my wiki (articles, images of inspo, meeting notes) the system will likely update 2-3 different articles where it feels that context belongs, or, just creates a new article. It's like this super genius librarian for your brain that's always filing stuff for your perfectly and also let's you easily query the knowledge for tasks useful to you (ex. design, product, writing, etc) and it never gets tired. I might spend next week productizing this, if that's of interest to you DM me + tell me your usecase!

@_chenglou @threadreaderapp unroll

My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

@jameesy @threadreaderapp unroll

@itsolelehmann COWORK

i made a 3-day Claude Cowork for Beginners course, and it's yours for free by the end, you'll have a personalized AI teammate on your computer that: • knows your style • connects to your tools • and produces finished work you can send immediately here's what you get: day 1: install cowork, set global instructions, and run your first real task (15 min) day 2: workflows that replaced hours of my week, including building landing pages from a description and running full competitive analyses in one prompt day 3: skills, plugins, and connectors so cowork actually knows how you work and can access your tools + copy-paste prompts so you can follow along as you read like + comment "COWORK" and i'll DM it to you

@VibeMarketer_ Claw

just created the ultimate openclaw setup guide. lots of founders are struggling to find use cases for it, I have it running my business 24/7. Even using my card info to hire designers on Contra. inside the doc, i’ll cover… -> how to install and run the first boot. -> the mandatory first boot checklist. -> workspace files so it knows how to behave. -> creating your agent’s philosophy with SOULmd. -> uploading your information with USERmd. -> how to add skill stacks. -> setting up your communication channel. -> some basic automations to save you HOURS. -> multi-agent routing. -> ensuring security is set up properly. also uploaded all the code so you can just plug-n-play. just RT + comment “CLAW” and I’ll send it to you (must be following)

@Jacobsklug @openclaw @Lovable Os

I'm giving away my entire @openclaw architecture. Behind my $250k/month agency. After weeks of building, I've dialled in the exact system that runs my business 24/7. What's included: • Memory folder structure (how to organize agent context) • Cron job templates (daily briefs, meeting syncs, content automation) • How to build a custom dashboard in @lovable • API reference doc (so your agent never forgets its tools) • Voice training method (85 posts to teach it your style) • Supabase schema for dashboard connection Comment "OS" and follow. I'll DM it to you. P.S. This will probably blow up so give me some time to reply.

@godofprompt Claw

OpenClaw hit 145K GitHub stars and became the fastest-growing open-source AI project in history. But 90% of people installing it have no idea how to set it up safely. That's why I built the OpenClaw Starter Guide. It covers: → Full architecture breakdown (Gateway, Agent, Skills, Memory) → 30-minute setup walkthrough for any hardware → Security hardening so you don't end up on Shodan → Memory upgrade prompt that makes your agent actually remember you If you want a personal AI assistant that actually does things, not another chatbot, this is the guide. Comment "Claw" and I'll DM it to you. (Must be following me to receive it)

@Zephyr_hg News

I never run out of content to post anymore. Built an automation that monitors 50+ news sources, scores articles for relevance, and writes social posts automatically. It finds trending topics in my niche before they explode everywhere else. Saves me 15-20 hours monthly and keeps me ahead of every trend. Comment "NEWS" and I'll DM it to you (must be following)

@AndrewWarner @calebhodges Openclaw

I'm at a Claude Code event right now. Everyone's complaint: Openclaw keeps shutting down. @calebhodges gave us all a markdown file that solves the common issues. Want it? Comment "openclaw" and I'll DM it to you.

@heygurisingh Free

@heyrimsha Free

Everyone is super hyped about Clawdbot but 90% don't know how to actually use it to replace real work. I spent 48 hours and created "The Ultimate Clawdbot Guide". 100% FREE for the next 24hrs only Just: • Like • Follow • Reply "Free" I'll DM you a link.

@reachvaldo How

You haven't built your first Clawdbot yet? like + reply “How” and I’ll DM you my exact setup system for FREE.

@recap_david @therecapai Newsletter

I built a Morning Brew-style daily newsletter that writes itself with AI (now at 10,000+ daily readers) (and I’m nuts for open-sourcing it) The AI system behind @therecapai clones how a human writer would function, but each step is packaged into an agentic workstream. The full automation handles: → Daily scrapping hundreds of reddit threads, hackernews, twitter posts, Google news API to build a massive data lake of 'daily AI news' → Dozens of custom prompts to pull the top daily stories from this data lake, write short breakdowns, & format the newsletter → Builds custom images based on each story with ChatGPT image generator This was 5 MONTHS of iterating and fine-tuning prompts to get the output and content to an extremely high quality state (no AI slop) and call me crazy, but I'm giving it away for free. I'll DM you the full n8n template that you can copy/paste and fine-tune to your use-case as well as a full hour long video breakdown explaining the build. Just Like & RT, follow me, and comment on this thread "NEWSLETTER" (must be following so I can dm you) Also you can see the actual contents of the newsletter for yourself with the link below, proof of the quality that is possible with AI. RIP legacy media companies 💀 AI is here.

@AlfieJCarter Content

Claude just wrote me 43 posts in under 10 minutes. For the past 7 months, I've been working with GTM engineers, leaders, and operators and found what truly drives LinkedIn growth. They all started implementing this AI system and the results were absurd: Saved 10+ hours per week on content creation Drove 4.2x higher engagement across posts 96% of readers couldn't tell it was AI-generated This entire process takes less than 10 minutes per week. I put together a step-by-step guide on how you can do the same. Want me to share it with you? Just follow and comment “CONTENT” and I’ll send it your way in a few minutes.