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Apify
@apify
Thousands of Actors to automate your business, get real-time web data, and integrate your apps and agents. ➡️ https://t.co/rySkh8qnak • https://t.co/PiUfLvrTQ2 • https://t.co/x4G1meKY5i
The Interwebz Katılım Eylül 2015
289 Takip Edilen8.5K Takipçiler

Someone built a live leaderboard for Apify Store.
29,910 Actors ranked by real usage, reliability, and pricing - updated daily. Free tool by @TLebedinskas
Link in 🧵

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The Apify team is at @WeAreDevs World Congress in Berlin, July 9-10. Come cool down - Czech beer, soft drinks, Paletas ice cream. 🍦
@jancurn is speaking: "MCP code mode is best served in the shell." Link in 🧵

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Apify retweetledi

How to turn Claude Code into a full autonomous GTM engine
This is the stack we’d use to turn Claude Code into a full GTM engine ↓
1. SIGNAL LAYER
(where buying intent actually appears)
→ PredictLeads → hiring spikes, funding rounds, tech adoption
→ Common Room → community + product + GTM signals
→ Attention → analyzes sales calls, objections, competitor mentions
→ RB2B → identifies anonymous website visitors
This is where outbound gets smarter.
Not from volume.
From timing.
2. DATA LAYER
(where leads get enriched)
→ Apify → scrape almost anything
→ Wiza → enrich LinkedIn profiles
→ Prospeo → verified contact data
→ FullEnrich → waterfall enrichment across providers
→ Openmart → local business records
→ Apollo.io → firmographic backbone
→ Vector 👻 AI → AI-native company intelligence
Most outbound fails because the data is weak before outreach even starts.
3. ACTION LAYER
(where outreach happens)
→ Instantly.ai → cold email + warmup
→ lemlist → multichannel outreach
→ LinkedIn Ads → retarget the same accounts
One signal.
Multiple channels.
One workflow.
4. AUTOMATION LAYER
→ n8n orchestrates the workflows
→ Claude Code decides:
* what happens next
* which API to call
* what channel to use
* when to escalate
This is where AI stops being a chatbot.
And starts acting like an operator.
5. SYSTEM OF RECORD
→ Attio syncs contacts, pipelines, webhooks, deal updates
Without a clean system of record, agent workflows eventually break.
6. CONVERSION + REVENUE
→ Cal.com books meetings
→ Hyperline handles billing + subscriptions
→ Dreamdata tracks attribution from signal → closed deal
What this stack actually enables:
→ Autonomous outbound workflows
→ Self-healing GTM pipelines
→ AI agents running enrichment + routing + outreach automatically
→ Real-time signal monitoring
→ Less manual work across the funnel
Most teams are still using AI for copywriting.
Meanwhile, the real opportunity is building systems that execute GTM workflows end-to-end.
That’s the shift.
Save this GTM guide.
----------
- Follow @coder_surya
- Save the post.
- Repost to your network.
- Join AI Community: tinyurl.com/mvsz79eu
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Apify retweetledi

Odpoví za vás kolegům i šéfovi. Apify vyrábějící samostatné AI nástroje je pouští na Notion, GitHub nebo Slack lupa.cz/aktuality/odpo…
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