Kaitee
@KaiteeShiks • 59,352 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.
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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
Kaitee37,466 Aufrufe • vor 8 Tagen
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.
Kaitee28,573 Aufrufe • vor 9 Tagen
@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:
Kaitee42,468 Aufrufe • vor 29 Tagen
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:
Kaitee50,886 Aufrufe • vor 3 Monaten
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 👇
Kaitee49,963 Aufrufe • vor 3 Monaten
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