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
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…
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/
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….
Apify retweeted
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.
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
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…
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
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

















