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Kaitee

@KaiteeShiks • 59,940 subscribers

Obsessed with how AI can actually grow a business, not just provide hype. I help founders and creators scale using digital strategy and better tools.

Shorts

Tried Gemini Omni on Buzzy earlier and the biggest difference isn’t the first generation. It’s the fact that the video remembers context while you keep editing it. Way closer to directing a scene than endlessly rerolling prompts.

Tried Gemini Omni on Buzzy earlier and the biggest difference isn’t the first generation. It’s the fact that the video remembers context while you keep editing it. Way closer to directing a scene than endlessly rerolling prompts.

17,654 views

Videos

Anya Rossi

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Sales reps who found out Thine already sorted the leads and just clocked out 3.This is what a sales rep looks like the day after getting Thine

Sales reps who found out Thine already sorted the leads and just clocked out 3.This is what a sales rep looks like the day after getting Thine

22,420 views • 1 day ago

My AI app looked ready to ship. Replay QA proved otherwise. Before launching, I connected the GitHub repo to Replay QA, let it run through the app like a real user, and within a few minutes it surfaced issues I would've never noticed by manually clicking around. What I liked most wasn't just finding bugs. It showed exactly what happened in the browser, explained the likely root cause, and gave enough context to fix the issue without guessing. Instead of running a one-time check, I connected the repo so Replay QA can keep testing every time I push changes or open a PR. No Playwright setup. No complicated pipeline configuration. Just a practical QA gate before users ever find the problems. If you're building with Cursor, Claude Code, Codex, Lovable, Bolt, Replit, or any AI coding workflow, this is worth adding before your next launch. Replay

My AI app looked ready to ship. Replay QA proved otherwise. Before launching, I connected the GitHub repo to Replay QA, let it run through the app like a real user, and within a few minutes it surfaced issues I would've never noticed by manually clicking around. What I liked most wasn't just finding bugs. It showed exactly what happened in the browser, explained the likely root cause, and gave enough context to fix the issue without guessing. Instead of running a one-time check, I connected the repo so Replay QA can keep testing every time I push changes or open a PR. No Playwright setup. No complicated pipeline configuration. Just a practical QA gate before users ever find the problems. If you're building with Cursor, Claude Code, Codex, Lovable, Bolt, Replit, or any AI coding workflow, this is worth adding before your next launch. Replay

64,188 views • 7 days ago

In Partnership with Viktor. An agency added $133,752 in new annual recurring revenue in its first 30 days with Viktor. No new hires. No new service line.

In Partnership with Viktor. An agency added $133,752 in new annual recurring revenue in its first 30 days with Viktor. No new hires. No new service line.

74,596 views • 29 days ago

Built a small research playground with Nimble API. You enter a prompt: → Research OpenAI competitors → Find AI startups in (Any country of your choice) → Analyze the AI coding agent market The app turns it into a structured research report with summaries, findings, and source cards. Here's the workflow 👇

Built a small research playground with Nimble API. You enter a prompt: → Research OpenAI competitors → Find AI startups in (Any country of your choice) → Analyze the AI coding agent market The app turns it into a structured research report with summaries, findings, and source cards. Here's the workflow 👇

35,212 views • 1 month ago

Every AI agent I've used has the same bug: It forgets everything. Not after a month. Sometimes after a single session. This week I tested Memanto, an open-source memory companion for AI agents, and it completely changed how I think about agent workflows. 👇 Moorcheh.ai #ad

Every AI agent I've used has the same bug: It forgets everything. Not after a month. Sometimes after a single session. This week I tested Memanto, an open-source memory companion for AI agents, and it completely changed how I think about agent workflows. 👇 Moorcheh.ai #ad

37,566 views • 1 month ago

@Profound is hosting what might become the first major Marketing Engineering hackathon on June 6 in NYC, and honestly, it feels like we’re watching the birth of an entirely new role in tech in real time. The marketers who can build. The engineers who understand distribution. The people replacing repetitive growth work with agents and systems. • $40K in prizes • Only 50 spots • Judges from Ramp, Stripe & MongoDB • Winners get an interview at Profound The challenge: Find a marketing workflow that’s impossible to scale manually, then build an agent/system to run it. What makes this interesting is it’s completely platform-agnostic. Everyone gets access to Profound, but you can also build with Cursor, Claude Code, Python, n8n, LangChain, raw APIs, or whatever stack you want. They’re judging the best build, not the tooling. Honestly feels less like a normal hackathon and more like the first public glimpse of what AI-native marketing teams will look like over the next few years. Apply:

@Profound is hosting what might become the first major Marketing Engineering hackathon on June 6 in NYC, and honestly, it feels like we’re watching the birth of an entirely new role in tech in real time. The marketers who can build. The engineers who understand distribution. The people replacing repetitive growth work with agents and systems. • $40K in prizes • Only 50 spots • Judges from Ramp, Stripe & MongoDB • Winners get an interview at Profound The challenge: Find a marketing workflow that’s impossible to scale manually, then build an agent/system to run it. What makes this interesting is it’s completely platform-agnostic. Everyone gets access to Profound, but you can also build with Cursor, Claude Code, Python, n8n, LangChain, raw APIs, or whatever stack you want. They’re judging the best build, not the tooling. Honestly feels less like a normal hackathon and more like the first public glimpse of what AI-native marketing teams will look like over the next few years. Apply:

42,468 views • 2 months ago

Here is why Nimble has 1.1M Claude plugin installs… I tested the Nimble Studio for a few minutes and immediately understood the appeal. Instead of manually scraping sites or fighting APIs, Nimble lets AI agents pull structured live data from platforms like TikTok, YouTube, Instagram, Reddit, and more. I tried pulling trending AI tool content and it turned messy social pages into a clean dataset almost instantly, complete with engagement metrics, creators, hashtags, and trends. The interesting part is how natural it feels. You’re basically giving AI agents the ability to interact with live web data in a usable format instead of static search results. That’s why the 1.1M installs matter. It solves a real problem for developers, researchers, marketers, and teams building AI workflows around real-time internet data.

Here is why Nimble has 1.1M Claude plugin installs… I tested the Nimble Studio for a few minutes and immediately understood the appeal. Instead of manually scraping sites or fighting APIs, Nimble lets AI agents pull structured live data from platforms like TikTok, YouTube, Instagram, Reddit, and more. I tried pulling trending AI tool content and it turned messy social pages into a clean dataset almost instantly, complete with engagement metrics, creators, hashtags, and trends. The interesting part is how natural it feels. You’re basically giving AI agents the ability to interact with live web data in a usable format instead of static search results. That’s why the 1.1M installs matter. It solves a real problem for developers, researchers, marketers, and teams building AI workflows around real-time internet data.

28,590 views • 1 month ago

Most AI builders underestimate how expensive transcription becomes once their product starts scaling. For a lot of teams, speech-to-text quietly turns into one of the biggest infrastructure bills. Just tested **Velma Transcribe** from Modulate and the pricing is surprisingly low compared to typical STT APIs. If you're building: • voice agents • AI assistants • support bots transcription costs matter a lot. Velma claims dramatically lower pricing while still competing with models like Deepgram, ElevenLabs, and AssemblyAI. You can compare the models side by side here:

Most AI builders underestimate how expensive transcription becomes once their product starts scaling. For a lot of teams, speech-to-text quietly turns into one of the biggest infrastructure bills. Just tested Velma Transcribe from Modulate and the pricing is surprisingly low compared to typical STT APIs. If you're building: • voice agents • AI assistants • support bots transcription costs matter a lot. Velma claims dramatically lower pricing while still competing with models like Deepgram, ElevenLabs, and AssemblyAI. You can compare the models side by side here:

50,886 views • 4 months ago

Most AI Agents can Talk..... Very few can actually do anything. You can spin up an agent in minutes… but the second you want it to: 🔴 Create a GitHub issue ⚪ Update Notion 🟡 Send a Slack message 🔵 Log actions properly 🟣 Handle auth securely You’re suddenly building integrations for weeks. This is why Merge Agent Handler caught my attention. It gives your AI agent real tool access across thousands of platforms through one integration, but the part I actually care about is this: Production-ready security + full audit logs out of the box. You can see every tool call. Every API request. Every response. So your agent isn’t just “connected”..... it’s monitored and controlled. If you’re building agents that need to take real actions, this is worth looking at: Video shows it in action 👇

Most AI Agents can Talk..... Very few can actually do anything. You can spin up an agent in minutes… but the second you want it to: 🔴 Create a GitHub issue ⚪ Update Notion 🟡 Send a Slack message 🔵 Log actions properly 🟣 Handle auth securely You’re suddenly building integrations for weeks. This is why Merge Agent Handler caught my attention. It gives your AI agent real tool access across thousands of platforms through one integration, but the part I actually care about is this: Production-ready security + full audit logs out of the box. You can see every tool call. Every API request. Every response. So your agent isn’t just “connected”..... it’s monitored and controlled. If you’re building agents that need to take real actions, this is worth looking at: Video shows it in action 👇

49,963 views • 4 months ago

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