Jayden Kang

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Jayden Kang

Jayden Kang

@jaydenckang

Co-founder & CEO @crowlyai building an Agentic CRM | 7 figures in info | peak top 100 @valorant

United States Katılım Temmuz 2025
67 Takip Edilen16 Takipçiler
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Jayden Kang
Jayden Kang@jaydenckang·
5 years ago I was a Valorant coach making $0. Last year my coaching program crossed $2M. But behind the scenes, I was drowning. Too many DMs. Too many leads to qualify. And 24/7 appointment setter coverage was expensive. So @n0ted and I built Crowly. It's a no-code AI agent trained on your content. Answers in your voice. Cites the exact video + timestamp so viewers click back to watch. What happened when we plugged it into our own channels: → YouTube AdSense revenue up ~15% (same content, same # of uploads) → 9,000+ fully automated conversations in week one → $10k extra in coaching sales that month Now, we're taking on our first batch of coaches and creators. Like + comment "CROWLY" and we'll build you a custom agent free. (must be following so I can DM you)
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Vitalii Dodonov
Vitalii Dodonov@vitaliidodonov·
I just finished writing my most valuable PDF yet: "From Zero To Launch In 10 Days: How We Beat OpenAI on Producthunt + Got 1,000 signups + $4K MRR" (36 pages). I might charge for this in the future, but for now… Reply "MRR" and I’ll DM it to you for free (must follow)
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Jayden Kang
Jayden Kang@jaydenckang·
$1k referral if someone could help me get in contact with someone on Meta’s developer portal team
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paolo trivellato
paolo trivellato@paolo_scales·
i booked 672 calls in 30 days for a B2B SaaS. 120 days later the company went from 0 to €42,975/mo. we didn’t: - run ads - do cold outreach - spend a $1 on acquisition we simply ran our signature linkedin inbound funnel and i just put together an 11-section breakdown of the ENTIRE system... covering every post type, DM script, resource structure, and conversion mechanism we used to make this happen here's what's ACTUALLY inside it: → the 3-pillar infrastructure we built before posting a single thing (accounts, automation, conversion flow) → the 45/35/25 content mix across problem unaware, pain aware, and solution aware prospects (and why most companies get this completely wrong) → the lead magnet anatomy: hook formula, perceived value stack, visual strategy, and two-step CTA breakdown → the notion resource structure (converts before they even read page 1) → the DM system: value-first delivery, confusion opener, needs discovery, and the 5-touch follow-up sequence → the repurposing engine (turned 1,000 comments into 9,000 across 5 accounts) → the trend-jacking system (6-hour production timeline behind our 6,000-comment post) → the call structure that produced 95% credit card conversion (discovery → diagnosis → demo → activation framing) → the profile rebuild that converted 8% of visitors (headline, about section, featured, custom button) → the full 30-day content calendar (with real post examples for every awareness stage) → the 5 metrics we tracked obsessively (and what each one tells you about where your funnel is leaking) all backed by everything we learned after adding $950k+ to our clients' MRR on this platform like + comment "672" and i'll send the full breakdown (must be following + RT for priority access)
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Nayrhit B
Nayrhit B@NayrhitB·
The exact pitch deck that helped us raise a $9M Seed Round copy whatever you want VCs that invested: → @SusquehannaVC (led) → @LightspeedIndia@BCapitalGroup → Seaborne Capital → @beenextVC@sparrowcapvc@2point2club joined. fundraising is hard enough without guessing what investors want to see. so - I'm making our deck public. if you're raising right now, take it and make it yours. Reply 'deck' + follow (so I can DM it over)
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Blake Emal
Blake Emal@heyblake·
Founders: Drop a comment and I’ll give you one piece of advice/idea about your content
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Pierre-Eliott Lallemant
Pierre-Eliott Lallemant@pierreeliottlal·
In less than a year, we generated 10M+ organic views on Reddit. No ads No budget Just distribution that compounds. That traffic alone brought over 100,000 people to our website. So we turned everything we learned into a Reddit Strategy Playbook that now drives : - 1M+ organic impressions every month - Consistent visibility inside AI answers like ChatGPT or Gemini - A steady flow of qualified demos Here’s what’s inside How we actually grow our SaaS with Reddit step by step - The 3+1 post formats that consistently go viral - How to drive traffic from 100+ subreddits without getting banned - Our Reddit SEO method to show up inside AI generated answers - The exact flows we use to turn views into demos - A bonus you won’t expect Want the full 1M views per month Reddit system 100 percent organic Repost Comment REDDIT I’ll send it to you
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Jayden Kang
Jayden Kang@jaydenckang·
@Jacob_Rhodes_ Did you get paid users a day after you said you have no MRR? Glad things are working out already
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Jacob Rhodes
Jacob Rhodes@Jacob_Rhodes_·
@jaydenchk thanks man! I already have some paying users, I have built the product. I am just making a lot of updates
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Jacob Rhodes
Jacob Rhodes@Jacob_Rhodes_·
I just bought the claude max plan at 16/yo. I can barely afford it, (I have no MRR from my SaaS yet.) I am risking a ton, because if I run out of $$$ then my SaaS will fail. And I have spent the last year of by life building and failing businesses up to this point. wish me luck
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Jayden Kang
Jayden Kang@jaydenckang·
@rxhit05 @SahilPanhotra But a new dev team is pointless if they still don’t have good taste or direction for product market fit
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Rohit
Rohit@rxhit05·
What’s harder to fix later as a founder? -bad product -no distribution -weak positioning -wrong market
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Jayden Kang
Jayden Kang@jaydenckang·
Playing MapleStory as a kid helped me make millions online. My parents wouldn’t let me buy NX (pay to win currency) in MapleStory, so my first job was leveling my friend’s character. He paid me in mesos (in game gold), which I used to stockpile item enhancement scrolls during Nexon events when prices crashed, then sold them weeks later once players used enough of them that supply dried up. I was 10 lol. Years later I dropped premed, built a 7-figure coaching company out of a college apartment sharing a tiny room with 2 other guys, and now I’m working on Crowly. Honestly, even the classes I took at UC Berkeley Haas can’t beat what I learned from years playing MapleStory. And thank you mom for never letting me buy NX. I had to get resourceful and buy Subway gift cards instead 🤣 story for another time.
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Dear Son.
Dear Son.@DearS_o_n·
At your lowest, who was there for you?
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voided
voided@voided·
@JDPG172 That's something no ones knows about
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voided
voided@voided·
This is what men gamble their entire networth for
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Jayden Kang
Jayden Kang@jaydenckang·
@CapitalCasper For your organic content did you post under the company’s account or did you use UGC creators and founder/employee accounts to post or a mix of both? If it’s a mix what was the ratio of views/conversions it got?
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Casper Capital
Casper Capital@CapitalCasper·
i cofounded an app that hit $1 million ARR in 9 months 80% organic 20% paid Ask me anything ⤵️
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Jayden Kang
Jayden Kang@jaydenckang·
@RobHoffman_ What are some of your favorite tools that you know of or use to do cold emails at this kind of scale? I feel like most are super clunky and annoying to use for automations
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Rob Hoffman
Rob Hoffman@RobHoffman_·
there are many games you can play to make money but if you're not making money yet or losing sleep over where your next customer will come from there's only one game you should play: the numbers game I hate cold email and yet am oddly inspired by it because it's a good reminder: whatever it is you're doing, there is always a volume at which it is statistically impossible to not make money
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Jayden Kang
Jayden Kang@jaydenckang·
I would actually argue dating isn’t even that good for personalized agents compared to coaching and consulting services. People only want to share the best qualities about themselves when dating, sometimes even exaggerating facts to seem more impressive. Coaching on the other hand encourages people to share their good and the bad. What’s working and what isn’t working for them. I made an AI version of myself for my 7-fig coaching business, and people share all kinds of information about themselves to get help. Then my AI agent uses that context to auto-fill our CRM and begins the lead nurturing cycle until the close. You get true end-to-end, closed-loop attribution on conversion data which gives clean signal for agents to improve their skills.
Celeste Amadon@Celesteamadon

Founders pitching personalized AI agents almost always arrive at the same line about a "data moat" that gets built one user at a time. Then you ask them how they get the first 500 quality data points on me, and the answer is some version of: scrape my X, my Spotify, my DoorDash, my camera roll, my emails, my texts. I sat through dozens of these pitches when I was at a venture firm and I never bought it. The first reason is legal. Most of those companies do not want you scraping their data. The second reason is the part founders will not admit to investors. Trying to figure out who someone is from the tweets they liked at two in the morning is not very indicative of their personhood. The actual move is to find a use case where users tell you the truth about themselves on purpose. There are not many of those, which is part of why dating is one of the first places AI personalization will work.

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Roy
Roy@RoyInProgress·
@aakashgupta What if she wakes up at 07:15? She goes back to sleep and is late for the day?
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Aakash Gupta
Aakash Gupta@aakashgupta·
Mark Zuckerberg engineered a custom hardware device for his wife in 2019. No clock face. One faint light. A one-hour window. Priscilla had a specific problem. She'd wake up in the middle of the night, check her phone for the time, and the number itself spiked her anxiety. 4am meant worry about the kids waking soon. 5:30 meant calculating whether to just get up. The information was the trigger. Most engineers approach "can't sleep" by adding things to the bedroom. A meditation app. A Hatch alarm. A weighted blanket. A sleep coach. Mark removed the variable that was running the wake-up loop. The Sleep Box sits on Priscilla's nightstand and shows nothing for 23 hours a day. Between 6am and 7am it emits a single faint light. Faint enough not to wake her if she's still asleep. Visible enough that if she's already up, she knows it's okay to start the day. The rest of the night, dark. No clock. No time display. If she wakes at 3am she has no data to push her cortisol up with, so she goes back to sleep. He wrote the firmware and built the enclosure himself. No team, no procurement, no Meta resources. He posted the result on Instagram and said it worked better than he expected. The design move most CEOs would never run is the personal one. The instinct is to outsource a family problem to a specialist. A sleep coach. A doctor. A consumer electronics startup with a Series B and a marketing budget. Mark intervened at a specific link in the chain. Time data hitting Priscilla's brain at 3am was what broke sleep. The phone got moved off the nightstand and replaced with a box that physically cannot deliver that data. The box has no clock. That's the entire product.
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Marcos
Marcos@itsmarcosruiz·
My agency has generated over $10 million and 10 billion impressions on 𝕏. We've built dozens of accounts to 100k+ followers in the last 4 years. So I sat down and wrote a 44-page playbook that details A → Z how to launch, grow, and monetize your account on 𝕏. Like + Comment "Playbook" and I'll DM it to you. Must follow/have your DMs open. 24 Hours only.
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Jayden Kang
Jayden Kang@jaydenckang·
The $1 BILLION IKEA play is the move every coach or consultant should be running. Your unresolved tickets, your repeated DMs, your YouTube comments asking the same question every week, those are the highest-signal data your business will ever see. They’re your customers telling you what to build, sell, or position differently. Most founders ignore them because the data is scattered across 5 platforms and nobody’s reading it. That’s the gap we built @CrowlyAI to close. AI brain that ingests every channel, surfaces the demand signals, and deploys agents that act on them.
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ericosiu@ericosiu

If you're in a meeting right now talking about how AI will let you cut 40% of your team, you're playing the small game. IKEA just showed why. They deployed a chatbot named Billy to handle level 1 customer service. It resolved 57% of inquiries on its own. Most companies would've booked the labor savings and stopped there. IKEA studied the 43% Billy couldn't resolve. Those unresolved tickets pointed to one massive demand signal: customers wanted interior design help. They didn't want to figure it out themselves. So IKEA spun up a design consultancy, reskilled the customer service team with AI, and created a new revenue stream that did ~$1B in its first year. @neilpatel and I sit in these meetings every week. Everyone's optimizing for the cut. Almost nobody is asking what their AI is actually telling them. Your business is a problem-solving machine. What other problems could it solve if you redeployed the people you already have? Cutting headcount is the last resort, not the first move.

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Jayden Kang
Jayden Kang@jaydenckang·
We signed @CoachReeqo as a client today, and within hours of going live, this is what his audience is already saying about the agent. "Dang that's good, w reeqo ai." The screenshot below is a real conversation in his Discord server, where members are asking nuanced questions about Rocket League improvement, and the agent is responding in his voice with full frameworks and exact YouTube timestamps that route them back to his channel. It is even plugging his 1-on-1 coaching at the end of the response, turning a free question into a warm lead for his paid services. This is the gap @CrowlyAI closes. Creators have the answers buried in hundreds of hours of content, and most of their audience will never find the exact clip they need, so now they can just ask. You train it once, and it runs 24/7 and gets smarter with every conversation. Wishing Reeqo all the best on this next chapter. Excited to see what he builds! crowly.ai/demo
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