Chyngyz Dzhumanazarov

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Chyngyz Dzhumanazarov

Chyngyz Dzhumanazarov

@cdzhuman

Dream big. Bias to action. Be humble. Proud husband of @Aizada. Building AI agents at Kodif. MBA from @StanfordGSB. Co-host @SV_Icons

San Francisco Bay Area Katılım Ocak 2018
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Chyngyz Dzhumanazarov
Chyngyz Dzhumanazarov@cdzhuman·
“You must never confuse faith that you will prevail in the end—which you can never afford to lose—with the discipline to confront the most brutal facts of your current reality, whatever they might be.” — Admiral James Stockdale.
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Alton Syn
Alton Syn@WorkflowWhisper·
I built 31 automations for clients last year. Every single business - from solo founders to 50-person teams - needed some version of the same workflows. So I documented all of them. Every workflow. Every department. And the exact plain-English prompt that builds each one in minutes. Sales & CRM: lead capture, follow-up sequences, deal tracking, proposal generation, pipeline alerts Marketing: social scheduling, email sequences, content repurposing, UTM tracking, review requests Operations: invoice generation, payment reminders, inventory alerts, automated reporting Customer Success: onboarding emails, NPS surveys, churn detection, support routing Admin: meeting scheduling, expense tracking, document generation, approval workflows Each one includes the specific prompt I use to build it - not vague instructions, the actual sentence I type. Plus which 3 to start with if you want to save 10+ hours/week immediately. Comment "PLAYBOOK" and I'll DM you the full PDF for free.
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Alex Vacca
Alex Vacca@itsalexvacca·
We've sent over 23M cold emails. These 54 intent signals got us 5-11% reply rates, consistently. Most cold outreach fails and it's not because of your copy. Neither is it your subject line or your offer. It's your TIMING. If you reach out when the buyer raises their hand, so will everyone else. Your clients' inbox is now a warzone and you're just another name in it. The best time to reach out is right BEFORE that moment. That window where something changed internally but it's not obvious to the market yet. → Hiring spike in a single department = Someone just got budget approved. → A key tool stopped working in their stack = They're evaluating alternatives. → They raised funding without adding headcount = They're going to outsource. Those are real intent signals. Not generic job postings scraped off of LinkedIn or a list you could buy with 50,000 names on it. We use 54 of these triggers at ColdIQ to find high-conversion opportunities before the competition even knows they exist. And they keep us at 5-11% reply rates across the board, consistently. Want the full list? Reply "INTENT" and I'll send it. Must be following.
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Yann
Yann@yanndine·
I just documented the exact system to run Claude Code like the team that built it. New 3 workflows for GTM and engineering teams in March 2026. (the same AI-powered playbooks agencies typically charge $5,000-$15,000 to build) I'm done with vague AI advice. Everyone's selling "use AI to move faster" and "automate your pipeline." Meanwhile, teams are still manually researching accounts, copy-pasting data between tabs, and babysitting terminal sessions. So I documented the exact Claude Code system we actually run. Not a course. Not a masterclass. The real workflows. What consultants usually sell you over 3 months: - AI strategy decks - Tool recommendation lists - Generic prompt libraries - Vague automation blueprints What this playbook gives you instead: - Live Signal to Outreach Intelligence workflow - Parallel Account Research across 3-5 sessions simultaneously - Daily Market Brief on a schedule pulling hiring signals into Conigma or Apollo - Remote Control setup so Claude works while you're away from your desk - Phone-based session monitoring via QR code or session URL - CLAUDE.md self-correction loop so Claude never repeats the same mistake - Slash commands like /commit-push-pr that save, submit, and open a PR in one step - Verification loop using browser testing that produces 2-3x better output - Permission pre-approval via /permissions instead of skipping security - Opus 4.5 with thinking mode for tool-heavy tasks that steer themselves Plus, for every workflow: - Exact terminal commands to run - Configuration settings to lock in - Security rules to follow - Mobile connection steps - Common failure modes and how to recover All from Claude Code running locally, not a cloud service managing your data. The old way (dying): Manual research - copy-paste enrichment - slow outreach The Claude Code way (working): Set instruction - run /remote-control - check from phone - come back to finished output I'm not teaching AI theory. I'm giving you the exact workflows. Want the playbook? Reply PLAYBOOK and I'll send it.
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Kirke Männik
Kirke Männik@KirkeMannik01·
Loom + LinkedIn = 40 Calls EVERY month (and it works without DMs, InMails, or automation tools) We went from <15% accept rates to 40%+ meetings booked using one approach: Sending personalized Loom videos before connecting on LinkedIn. Not generic connection requests everyone ignores. Every LinkedIn outreach looks the same. And it gets ignored... Video walkthroughs give value first. And they get replies… Once someone watches your Loom, you're no longer cold. You can start the conversation. You can track who's interested (view data). You can book meetings without chasing. We've used Loom + LinkedIn outreach to: - Book 40+ calls per month with 0 automation - Cut time-to-meeting from 2 weeks to 3 days - Build pipeline with <100 highly-targeted accounts But here's the problem: Most personalized video outreach is terrible. - Screen recordings with no context - Generic "I loved your company" videos nobody believes - 3-minute intros that don't give value So we documented everything we know about low-volume, high-conversion LinkedIn outreach. What you're getting: → How to identify the 50-100 accounts worth personalizing for (not random LinkedIn searches) → The 3-layer research method that finds video topics prospects actually care about → Loom script templates for 6 different outreach angles (competitor intel, workflow breakdown, opportunity analysis, case study walkthrough, market insight, quick win) → How to structure 60-90 second videos that get watched completely (intro hook, value delivery, soft CTA) → The exact LinkedIn message to send with your Loom link (that doesn't sound like every other "I made you a video" pitch) Plus the complete research-to-recording workflow we use to send 10 personalized videos per day, so each video feels 1:1 but the system scales. Want it? → Reply "LOOM" → Follow me And I'll DM it to you.
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Yann
Yann@yanndine·
I automated my entire cold email ops with Claude in 9 steps. No more manual dashboard checks. No more guessing which sequences to pause. Most GTM engineers treat cold email like a daily chore. You log in, scroll dashboards, pause a few sequences, move on. That was me for months. Plenty of checking. Plenty of clicking. Nothing to show for it. Then I realized something. The top performers weren't just logging into Instantly every morning. They were building systems that ran without them. So I stopped babysitting dashboards and started treating cold email like actual operations. Instead, I built a system that targets: → Sequences under 1% reply rate after 500 sends → Email steps with over 300 sends and reply rate under 0.3% → Sequences booking meetings in the last 7 days → New ICP campaigns that inherit DNA from top performers Then I stopped doing manual reporting. Instead of clicking through 5 tabs, I started using Claude prompts that: → Export last 7 days performance automatically → Pause underperformers after confirming with me first → Scale winning sequences by 20% with safe volume caps → Draft new sequences modeled on your highest reply-rate campaigns The results? 30+ minutes saved per day on manual sequence management. But more importantly, zero campaigns paused by mistake. Claude confirms before every action, exports before every change, and logs everything to a dedicated Cold Email Ops folder. Not because Claude is perfect. But because the system is built with guardrails that make it trustworthy. You're spending hours every week manually checking dashboards and pausing sequences. When you could spend 30 minutes setting up this system once and letting it run. Cold email ops isn't about checking metrics. It's about building a machine that optimizes itself. The 9-step guide walks you through every prompt, every permission, every folder structure, and every rule to make Claude your cold email co-pilot. If you want the exact system I use (setup guide, prompt library, ops rules): Drop "OPS" below. Make sure you follow me, and I'll send you the full GTM Engineer's 9-Step Guide to Cold Email Operations with Claude.
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Yann
Yann@yanndine·
I created a free resource to build a Full GTM Operating System for 2026 that generates predictable pipeline on autopilot. I've spent the last year testing what actually works across every GTM channel... ✓ Multi-account content strategies that multiply reach 5x ✓ Turning LinkedIn engagement data into active outbound sequences ✓ 6 automated signal-based campaigns running simultaneously ✓ SEO and AI search optimization working together ✓ A full lead scoring and routing system built on real intent And I finally turned it all into a step-by-step resource you can steal. This is how GTM teams are building pipeline in 2026 - without cold blasting, without guessing, and without duct-taping tools together. And we're giving away the full system for free. Here's what's inside: ✅ Multi-Account Content Engine How to run 5+ accounts so CEO posts, the CRO comments, and the Head of Growth shares - same content, 5x the reach. ✅ Content-to-Outbound Connection Every post generates engagement data. Post gets 200 likes - extract likers, filter for ICP, route to DM sequence. Passive content becomes active pipeline. ✅ 6 Signal-Based Outbound Campaigns Website visitors, LinkedIn engagement, job change triggers, content downloaders, social listening, and customer alumni - all mapped with exact tools and routing logic. ✅ SEO + AI Search Playbook A 4-phase roadmap from commercial keyword extraction to topic clusters to AI visibility tracking. ChatGPT traffic converts at 6x the rate of Google - here's how to capture it. ✅ Lead Scoring and Pipeline Routing A full scoring model that tiers every account and routes high-intent signals to Slack for immediate action - built on Conigma, Prosp, and Attio. This is the same system used to: → Turn LinkedIn likes into booked meetings automatically → Identify pricing page visitors and route them to reps within minutes → Build topic clusters that compound traffic month over month → Run coordinated 5-week ABM sequences across ads, LinkedIn, and email → Close the flywheel with customer referral programs feeding back into pipeline All without cold blasting random lists. All mapped out. All free. Want the Full GTM Operating System? Reply GTM and I'll DM it to you.
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Vihaar Nandigala
Vihaar Nandigala@VihaarNandigala·
We built something a little dangerous for GTM teams. It’s called GTM Claw. A workflow library that turns OpenClaw + Claude Code into a customer-finding machine. Think: • Find people talking about your problem on Reddit, LinkedIn, Twitter • Identify companies showing buying signals • Enrich decision makers automatically • Check ICP fit • Push qualified leads into sequences or your CRM Just continuous discovery of in-market accounts. We’ve been using it internally at Orange Slice to: • scrape LinkedIn reactors on competitors’ posts • detect product complaints on Reddit • identify operators switching companies • surface companies hiring GTM engineers We’re opening GTM Claw in beta. Only 100 users for the next couple months. ~30 spots already filled. If you want access: Comment “CLAW” and follow me so I can dm you the link. Turn Claude Code + Open Claw into a GTM menace. 🦞
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Matthew Berman
Matthew Berman@MatthewBerman·
I’ll be in SF tomorrow and have a gap between meetings from 1:30p to 5p. Anyone have an office I can come work from?
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Blake Emal
Blake Emal@heyblake·
Fork it Drop your product's one-liner I'll audit as many as I can with usable feedback
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Uğur Kaner
Uğur Kaner@ugurkaner·
Today, I’m excited to announce Reflow.ai, the intelligence platform for enterprise operations, and our $15M+ seed round, backed by some of my favorite investors! About a year ago, I shared I was working on something new. Today I can finally share what we’ve been building. Everyone wants to jump on the AI bandwagon, but they're driven mostly by hype, FOMO, market or investor pressure. If you’ve been in the business as long as I have, you know you can’t invest in hype. Not trends, not FOMO, not because your boss or investors think that you should, Reflow helps enterprises make decisions based on real-time intelligence: data, evidence, metrics, and ROI you can actually measure. This started with a very real pain for me at @CollectiveFin . We had 150+ operational staff, and it was surprisingly hard to understand where we spent our time, what was working, and where we should improve, optimize, and automate. I realized this is the same challenge for a lot of operationally driven businesses. Companies either have to: - Run ongoing time studies (not feasible) - Use time trackers (not accurate) - Build internal tools (millions spent, limited visibility) - Hire consultants and implement expensive solutions (6-7 figures + months of integration) @ReflowAI does what all of that tries to do, without breaking the bank: no integrations, no engineering time, no waiting, at a fraction of the cost, with unbelievable accuracy. Surprise surprise, we implemented Reflow at Collective and blew productivity out of the water. We’ve saved over $1.2M in measurable ROI within months after moving to Reflow. Our other early partners are seeing similar results, and it’s made us more bullish than ever! I’m a solo founder, but this is far from a solo effort. I’m building Reflow with an amazing team and early partners who are already making a big impact. Now I’ll need your help bringing this to more enterprise teams. We’ll be 3x the team in the next couple of months and hiring across the board. If you’d like to join me on this adventure, check our careers page or hit me up. And if you’re running an operations-heavy business and wondering where to invest your hard-earned dollars to optimize your workforce and automate workflows, check out our website or DM me. Last but not least, a huge shout out to our investors at @BasisSet, @blingcapital, @btv_vc, @designerfund, and E2, plus our amazing advisors and angels. And especially to our design partners at @CollectiveFin , Proper.ai, @chooseboundless, and @aspireio for believing early and building with us!
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Chyngyz Dzhumanazarov
Chyngyz Dzhumanazarov@cdzhuman·
@heyitsalexsu i spoke with a few friends at big law who are and nobody has ever used harvey. even though these firms are mentioned as clients
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Alex Su
Alex Su@heyitsalexsu·
At this point I can’t tell if Harvey is in the business of selling technology to lawyers or equity to VCs
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Chyngyz Dzhumanazarov retweetledi
Jesse Pujji
Jesse Pujji@jspujji·
I hired an ex McKinsey consultant to compile all my sales materials to document how GrowthAssistant company reached $22M in ARR. He collected: - Recordings of sales calls - Sales scripts - SOPs - Lead gen systems - etc 100s of top companies paid me for access to it. Today I'll give it away for free. RT + reply "GA" to get a copy in DMs.
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Chyngyz Dzhumanazarov
Chyngyz Dzhumanazarov@cdzhuman·
@ghoshal I’ve heard this rationale from a few founders in SF: “With infinite runway, I’ll eventually figure something out.” It seems like VC capital is a strategy and not the oxygen.
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Bobby from Dupe.com
Bobby from Dupe.com@ghoshal·
An actual startup scam playing out rn, it's basically a superannuation. Company raises $50M+ seed Hires a few ppl to make it seem like its a real company Ships absolute garbage to prove they're working Founders pay themselves $350k-$500k a year forever Put the $50M into a 2.5% yield treasury earning $1M+/yr for free No legal obligation to return the money.
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Alfie Carter
Alfie Carter@AlfieJCarter·
My team has booked 58 sales calls from LinkedIn DMs in 2026 (so far). Steal the dm system we use for free: Most people treat LinkedIn DMs like spam. I treated it like a conversion system. And built systems that actually worked: • Comment → DM delivery templates that reliably turn post engagement into conversations • Signal-based DM sequences triggered by profile visits, follows, funding, events, and content engagement •Competitor-commenter scripts that start conversations with people already engaging in your category • Follow-up + voice note frameworks most engineers never systemise or reuse The result? Just short of $45K in revenue. I’m giving away everything: → 28 ready-to-send LinkedIn DM templates → Comment-to-DM delivery flows (connected + not connected) → Competitor commenter capture sequences → Warm trigger + profile-visit DM scripts → Follow-up timing logic and straight-sell voice note templates The actual playbook. If you want it: Reply “DM” and I’ll send you the link.
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Aman Samra
Aman Samra@amansamraa·
Who’s building the alternative to Gong? Spellbook is exploring new options. Big contract up for grabs!!
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Joshua Eidelman
Joshua Eidelman@joshuaeidelman·
@cdzhuman Get that wrong, and your agents won’t just burn out, they’ll be irrelevant. I really loved this conversation! Tune into Founders & Empanadas wherever you get your podcasts for the full episode.
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Joshua Eidelman
Joshua Eidelman@joshuaeidelman·
@cdzhuman Kodif’s founder doesn’t think that way anymore. Everything is a test, a shot, forward motion. He came from a tiny village in Kyrgyzstan. Now he’s building AI agents for billion-dollar brands in Silicon Valley. He’s not here to protect his ego. He’s here to win the 2%.
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