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Thousands of Actors to automate your business, get real-time web data, and equip your AI agents. ➡️ https://xitter.gq/t.co/rySkh8pPkM • https://xitter.gq/t.co/PiUfLvrm0u • https://xitter.gq/t.co/x4G1meKqfK

The Interwebz
Joined September 2015
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Training makes a great AI agent. Purpose-built tools make the mission a success. 🧰 Equip your AI on Apify → apify.it/X200v4
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Meet our MC at Run by Apify: @MelGoesTech As a staff developer advocate at @temporalio, she helps developers build AI agents that survive in production. She previously worked on AI tooling at DataStax and Langflow. She’ll guide the day on Nov 10 in SF → apify.it/X054l
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Apify retweeted
RatLabs actors just passed 35,000+ runs on @apify 🐀 21 actors, built by one rat in a lab. apify.com/labrat011?utm_sour…
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Every agent needs proper tools. One Apify API key gives yours thousands of Actors in Apify Store, and it picks the right one for the job. @G2dotcom ranked Apify #1 in API Marketplace this fall and named it an emerging AI tool to watch in 2027 🏆 Link in 🧵
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Apify retweeted
We got RUN by @apify before GTA 6! November 10 at The Pearl in San Francisco. 🌁 Promo code for 50% off in first comment 👇 run.apify.com/
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Apify retweeted
I'm heading to San Francisco next week to talk and learn about the hottest, most exciting topic in the industry right now: Agents. Nov 10, I'll be attending Run by @apify at The Pearl. There are still some tickets, so grab one if you care about running agents in production. That's all we'll be talking about: how to run agents in production. Reach out if you'll be around! Tickets and agenda: run.apify.com/?utm_source=sa….
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Black Friday is three weeks away. We asked Claude to find 100 office chairs across 5 stores. On its own: 0 of 100. With Apify MCP: 100 of 100, in about 3 minutes. Full breakdown in the thread ↓
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Your competitors' ads leak across 4 platforms. You're probably reading 1. Ads Intelligence pulls a brand's live ads from Meta, Google, LinkedIn, and TikTok in one run, plus AI strategy recommendations. One of 17 @apify mini tools on Product Hunt today. First 3 runs are free.
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This week, the Community Spotlight shines on Muhamed Didović, an independent developer who went full-time on Apify this year. His rule is user first, code second. The Actors he is proudest of solve one concrete problem in a simple, reliable way 👇
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Try Muhamed's top Actors: 🔗 Trustpilot All Reviews Scraper → apify.it/4k0WMfq 🔗 Keyword Search Volume, CPC & Difficulty → apify.it/4sGJvea 🔗 Google Ads Transparency Leads Scraper → apify.it/4iqKPhQ
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🚀 Ship your own Actor on Apify Store → apify.it/4t3mjqV
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Apify retweeted
A lot of talk about MCP around here, just like in the good ol' days. Perfect time to drop [email protected]! What's new: - Full MCP Tasks support (2026-07-28 spec) - Completions for prompts & resources - Security fixes & improvements Full release notes: github.com/apify/mcpc/releas…
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Run by Apify is sponsored by @joinmassive 🤝 Massive is a web access API backed by millions of volunteer devices in 195+ countries. AI agents, models, and data pipelines use it to reach the live web reliably and in real time. Meet the team on Nov 10 in SF → apify.it/X054l
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One step worth copying from this stack: @gregisenberg has Apify pull @G2dotcom, Reddit, and App Store reviews, then asks the agent to “find the 10 complaints that show up most and quote the users.” A product roadmap your customers already wrote 👇
running a company nowadays feels kinda dystopian my team is 50+ people in 12 countries, but i talk to my agents more than my human teammates - voice note to grokbot - mattpocock/skills /grill-me so the agent interrogates the idea before anything gets built - spec drops into linear through the linear mcp - exa + firecrawl agent reads every competitor site, pricing page and changelog - ideabrowser.com to find ideas and trends - apify pulls g2, reddit and app store reviews - prompt: "find the 10 complaints that show up most and quote the users" - context7 so the agent reads the latest docs before it touches any api the design - claude code + paper mcp - 4 versions of every screen before a single line of code - pick pieces from 2, it merges them. diverge then converge - frontend-design skill from anthropic/skills + our own design system skill - cleanshot screenshots of any ui i like go straight in with "make it feel like this" the build - pingdotgg/t3code as the control surface for every agent, from my phone too - stablyai/orca runs a fleet of agents in parallel, each in its own git worktree - graphify maps the whole codebase into a knowledge graph so agents navigate instead of guess - headroom compresses tool outputs before they hit the model, so tokens go 20-95% further - lsp plugins so the agent sees types and errors like an ide does - security guidance hook flags risky edits before they land - supabase mcp for the database, stripe for billing - github mcp opens the pr, vercel spins up a preview - loops run overnight, i check what shipped over coffee the user testing - lightpanda as the headless browser, way lighter than chromium so you can run hundreds at once - agents click every flow on the preview like a first-time user - one persona is impatient, one is confused, one is on a phone - playwright + chrome devtools mcp for regression tests the bugs - sentry mcp catches the error - agent reads the stack trace and opens a fix pr in under 10 minutes - human just approves the data - posthog mcp cron at 7am on yesterday's funnel - any step that drops more than 10%, the agent watches 20 session replays and tells me why - stripe mcp pulls every cancellation reason into one doc every monday the agents' tools - orgo so every agent gets its own computer - agentmail so every agent gets its own inbox - agentphone so i can call them from the car - composio connect-apps for every other connector - akitaonrails/ai-memory, a git-backed markdown wiki so they remember what we decided last week the skills - wshobson/agents so skills work across claude code, codex and opencode - my writing voice - our design system - how we write specs - skill creator so the agents write new skills themselves some helpful tricks - one agent per platform. the x agent never touches email - cheap model for triage, opus for anything that ships - every output gets scored 1-10 by an llm judge. under 8 goes back - every agent writes a 5-line log at night so i can read the whole company in 2 minutes - every agent mistake becomes a new skill, so it only happens once the team - humans get version 5, not my voice note which they are happy about lol - their job is creative feedback, relationships and telling the agents what they got wrong a human pm reviews the funnel once a week. this reviews it every morning running a company is now voice notes and inference
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