30 minutes left on our Product Hunt launch day. Thank you to everyone who commented, asked the hard questions about letting AI near your accounts, and tried Nimply. We answered every comment. Launch offer still live: https://t.co/79QHswFZV0
4/ Free plan, no card. Paid from $9.99/mo. Because the people who most need a social media team are the ones who can least afford to hire one. Would love your feedback on the launch: https://t.co/kq5SgGvZK3
Today we launched Nimply on Product Hunt.
Two people, bootstrapped. 15 AI agents for social media that draft replies, posts and carousels — and can never publish without you.
I'd genuinely value your feedback, especially the critical kind:
https://t.co/RwI0oDCoZI
3/ They sit on a real platform, not a demo: a planner publishing to 9 networks, a unified inbox, a visual automation canvas, iOS + Android apps, a browser extension, a public API and an MCP server.
🌍 Hello, World!
🚀 23 September is Nimply Day!
Today, we’re officially launching Nimply on Product Hunt 🎉
A new chapter begins.
Let’s build the future of social media together. 💙
Nimply — The AI Workforce for Social Media. 🤖
#ProductHunt#AI#SocialMedia#SaaS#Startup #BuildInPublic #AIStartup #NimplyDay
Nimply Sidekick is live on the Chrome Web Store. It reads the page. It never touches it. Keep any post in your workspace and draft in your brand voice. It never posts, likes, follows or replies for you. https://t.co/aSrpoxGGek Hashtags: #ChromeExtension#SocialMedia
Nimply is now live on the official X Developer Exhibit 🚀
Nimply is an AI workforce for social media — helping businesses and creators use AI agents for content creation, scheduling, automation, engagement workflows, and more.
Check out our X Developer listing:
https://t.co/qywop8bAfg
#Nimply #AI #SocialMedia #AIAgents #Automation
🚀 Nimply is officially live on iOS! 🍎
Manage your social media wherever you go — schedule posts, manage accounts, and grow your brand, all from your iPhone. 📱
Download Nimply on the App Store 👇
https://t.co/ou5bGE4mzz
#Nimply#SocialMediaManagement#SaaS#ProductLaunch
Why the "AI Code Generation" Argument is a Trap With advanced AI coding tools, it has become incredibly easy to vibe-code a basic CRM prototype over a weekend. However, building a CRM is easy; maintaining it is not.
Meaningful connections, great conversations, and a strong creator community. 🤝✨ Proud to be part of the RedotClub Networking Dinner by Creator’sCon Pakistan & @IsmailBlogger—building a stronger tech & creator ecosystem in Pakistan. 🇵🇰 #RedotClub#CreatorsConPakistan
What is Nimply?
Ans:
Nimply is an AI social media workforce for busy founders who need reliable automation across channels. Unlike single chat AI, Nimply runs as an agent-based system with unified inbox and analytics, keeping support, scheduling, and content in one place. Built for creators
Here's a loop I keep thinking about.
We're heading toward a world where most new information isn't written by humans — it's generated by AI. Not just summaries and rewrites, but discovery itself. New research, new inventions, new knowledge produced by agents.
That works beautifully, as long as AI can genuinely create knowledge and not just recombine ours.
But suppose it can't — not fully. Then something strange happens. Humans slow down producing original work, because why compete. AI keeps training on output that ultimately traces back to us. The well stops refilling.
Researchers already have a name for this failure mode: model collapse. Models trained largely on model-generated data drift and degrade across generations — a 2024 Nature paper demonstrated it clearly.
If that ceiling is real, the correction is almost boring: humanity goes back to doing the research itself. Labs, experiments, primary observation.
I don't read this as doom. I read it as a reminder that original human work stays valuable precisely because AI depends on it.
So which is it — is AI a knowledge multiplier, or a knowledge consumer?
Curious where you land.
#AI #ArtificialIntelligence #Research #FutureOfWork
Most people want to make money online.
But they keep looking for:
❌ The next “secret” method
❌ A magic AI tool
❌ A viral business idea
❌ A shortcut to $10,000/month
Here is the uncomfortable truth 👇
The internet is full of opportunities.
But opportunities don't pay you.
Skills + consistency + solving a real problem do.
I started building online businesses years ago.
And the biggest lesson I learned is this:
You don't need to know everything.
You need to:
1️⃣ Learn one valuable skill
2️⃣ Solve a problem people already have
3️⃣ Build something around that problem
4️⃣ Keep improving it longer than most people are willing to
Most people quit at step 2.
Then they say, “Making money online doesn't work.”
It works.
But it usually looks boring before it looks successful.
If you had to start making money online from zero today…
What skill would you choose? 👇
#OnlineEarning #MakeMoneyOnline #EarnOnline #DigitalSkills #OnlineBusiness #Entrepreneurship #AI #Freelancing #BusinessMindset #MoneyMaking
13 years ago, I wrote my first line of code.
It took me a week to build a login form. I was proud of it.
This week, an AI wrote in 10 minutes what would have taken my younger self months.
My first reaction? Honestly — a little fear.
But then I looked closer at what those 13 years actually taught me:
→ How to ask "should we build this?" before "can we build this?"
→ How to debug a production issue at 2 AM with a client on the phone
→ How to say no to a feature that would break the system in 6 months
→ How to read between the lines of what a user actually needs
AI learned to write code from millions of repositories.
But judgment? That only comes from years of breaking things, fixing them, and shipping to real users.
If I could tell my younger self one thing:
Don't fall in love with the syntax. Fall in love with the problem.
The syntax will keep changing. The problems are forever.
What would you tell your younger self?
Everyone is asking, "Will AI replace software engineers?"
I think we're asking the wrong question.
AI is replacing coding, not software engineering.
Code is just one part of the job. Great software engineers solve problems, design systems, make critical decisions, understand users, and ensure security, scalability, and reliability.
With vibe coding and agentic AI, writing code is becoming easier than ever. The real value is shifting from writing code to knowing what to build and why.
The future belongs to engineers who learn to work with AI, not against it.
What's your take?