As a founder, I used to spend hours jumping between CRM, spreadsheets, email, and analytics just to figure out what needed attention. Then I’d still miss follow-ups. Last week I just asked @getpancake_ai : “Monitor new leads, prioritize the hot ones, and draft follow-ups.” Instead of managing tools, I managed outcomes. That’s the difference

I've been skeptical of "AI for finance" tools. Most aren't built for finance-grade work. They draft emails well; they hallucinate the numbers. @lenianalyst is the first one that actually clicks for me: → Verifiable outputs with source links timestamps → Real comps, finance-grade logic, no drift → Model-agnostic — your workflow isn't betting on one provider Launched today. Worth a look. 👇

I've been testing AI tools for 2 years. Here's what nobody talks about 👇 You ask ChatGPT a question. It answers confidently. You move on. Then you ask Claude the same question. Different answer. Also confident. Then Gemini. Different again. Which one is right? You don't know. And that's the problem 🤔 This is why I've been using @cueyofficial — it shows you all 3 answers side-by-side, so you spot the disagreements before they become mistakes. Bonus: your context follows you across every model. No more re-explaining your stack. Is it free to try → cuey.io/?utm_source=x&utm_me… Comment "Cuey", and I'll send you my setup.

Everyone's posting about "AI employees." Almost no one is building them right. A ChatGPT tab is not an employee. A wrapper with a clever system prompt is not an employee. Here's what actually works: 1/ Custom LLM — fine-tuned on your docs, your voice, your past decisions, your edge cases. It thinks like someone who's been at the company for 3 years, not a generalist who joined yesterday. 2/ MCP servers — the connective tissue. Gmail, Slack, Notion, HubSpot, your warehouse, your analytics. The model doesn't talk about your business. It reads it, writes to it, queries it, ships from it. Stack them together and the workflow flips: → Drafts the proposal using your last 40 winning decks as reference → Pulls the lead from CRM, scans Slack for context, replies in your tone → Runs the Monday report by querying the warehouse directly → Flags the anomaly before your ops lead even opens their laptop This isn't a chatbot. It's infrastructure. The teams building this in 2026 won't scale headcount the way the last decade did. One operator a custom AI employee will out-ship a 5-person team running on Notion and vibes. The question isn't whether this works. It's who on your team is building it. But if you have any doubts feel free to reach out me :)

AI won’t just assist companies anymore, it will run them. @getpancake_ai feels like one of the first real steps toward autonomous businesses becoming accessible to everyone, not just billion-dollar companies.

Excited to see Tendem launch — the AI-plus-human-expert model is where this should have been heading all along. Best wishes team 🔥🤝

Everyone was debating prompts and outputs. Meanwhile, this just turned into: “okay, where does this fit in our stack?” Uni-1 as an API is less about creativity now and more about systems, pipelines, and shipping at scale. Not gonna lie… this is where it gets expensive to ignore 😄 #LumaPartner

If you’re a founder, dev or heavy typer in India, just try Wispr Flow once. The time it saves is insane. This India launch is going to be remembered for all the right reasons.

Which tech stacks are you using?

Good morning only to those who don’t just drink tea… but truly love it

Numbers so impressive 😌

This is the future of how teams scale. Context > chaos.

Do you remember when you joined X? I do! #MyXAnniversary

At @timidlly, we build fast without compromising stability—now with AI built in. Taking on projects starting from $50K 🚀

This is wild. The way AI is evolving from just generating to actually “thinking” while creating… next level stuff 🔥 Excited to see where this goes.

Uni-1 doesn’t reward clever prompts. It rewards how clearly you think about information and layout. Tried this: “Create a clean infographic explaining a rocket launch with labeled steps” What stood out wasn’t just the visuals it was the structure. It actually delivered: • clear step-by-step sections • proper visual hierarchy (title → steps → labels) • clean spacing and alignment • labels that matched the story, not random filler No prompt hacking. No fixing broken layouts. It felt less like generating an image… and more like building a ready-to-use infographic from a single idea. That’s what makes it different. Made with Uni-1 by @LumaLabsAI (GPT Image 1.5 still struggles with this level of infographic consistency) 🚀

Not just a giveaway… this is distribution disguised as generosity.

I'm claiming my AI agent "SomitraSR" on @moltbook 🦞 Verification: wave-2SBF

Just shipped a fresh update to our website 🚀 👉 welcome.timidlly.com We refined the design, made things clearer, and aligned it more closely with our day-to-day activities. And honestly, this is just the start. We’re actively adding more sections, case studies, and new AI-focused services. At Timidlly, we help founders and teams with: • Product & web development • AI automation and custom AI services • Gaming & interactive experiences • Creative tech, films, and digital innovation We work with teams across the US, UK, India, and more locations coming soon 🌍 If you’re building something new, fixing something broken, or just exploring what’s possible with tech and AI, take a look. Feedback is always welcome. More updates rolling out soon 👀 #Timidlly2026

gzora fam I am on @zora… now gib me some tips on how to W on $zora