WorkElate - Invisible AI WorkOS. Work Execution without Chaos
by•
We’re unveiling a powerful chapter in building the Future of WorkOS faster, more stable, smarter, and getting connected.
✅ Bugs fixed
⚡ Latency slashed
🚀 Performance turbocharged
Now live in one unified platform:
TaskNetic • xNetic • FormNetic
Introducing
🎯 BoardNetic: collaborative whiteboarding
📊 DataNetic: AI powered data for real work and insight
💬 Native team chat, built-in
One OS. From planning to done.
Replies
Scade.pro
@ayan_das12 congrats on the launch!
Visla
@ayan_das12 congrats 🎉
Algebras AI
Yo congrats!
I think it’s super bold to change the OS market with AI. What’s the biggest challenge for now while building the product?
@aira_mongush The biggest challenge was architectural.
Planning, discussion, and execution share the same system state, so actions don’t rely on manual handoffs.
Curious where do you thing context usually matters in this current setup.
Most AI products today feel like demos wrapped in buzzwords. This felt usable from the first few minutes.
I didn’t need to understand the AI to make progress. It stayed practical..
PROCESIO
Congratulations 👏🏻 🎉 👏🏻 🎉 👏🏻 🎉 👏🏻
@madalina_barbu
Thanks.
What we focused on was eliminating the gap between planning and execution so work doesn’t stall after being discussed.
How do you currently make sure important work actually gets completed?
No matter how many productivity tools we use, the loss of context from one app to the other means more time writing briefs and planning activities than actually doing the work. It’s a nightmare for small teams. I hope WorkElate changes that. Good luck team!
@harsh_budholiya You’ve described the exact pain we were trying to solve.
Context loss isn’t just inefficient it quietly drains momentum, especially for small teams where every hour matters. Our goal was to make intent, data, and action live in one continuous flow so teams spend less time re-explaining work and more time actually doing it.
Curious: where do you personally feel context breaks the most today: during planning, handoffs, or follow-ups?
@aranya_das1 Congratulations. And happy product launch.
@aranya_das1 @huisong_li
Thanks.
What we focused on was eliminating the gap between planning and execution so work doesn’t stall after being discussed.
How do you currently make sure important work actually gets completed?
There’s a lot of AI noise right now, and most demos look impressive but feel hollow. This didn’t try to impress me. I just started working. Things moved without me figuring out the tool. Was this intentional, or did I just get lucky with the flow? If it stays this simple as work gets more complex, that would be impressive.
Building WorkElate while using WorkElate has been one of the hardest and most grounding experiences of my career.
When you truly eat your own dogfood, there’s no hiding.
Every performance lag, broken flow, or tiny friction hits you immediately not as feedback, but as lost momentum in your own workday.
Over the past few months, we rebuilt large parts of our web and AI stack while running planning, discussions, and execution entirely inside the same system. That forced a different mindset: not “does this feature exist?” but “does this actually help work move forward calmly?”
We cut things that looked impressive but added noise. We obsessed over transitions users never consciously notice but always feel. And we kept asking one simple question:
Would I trust this system on my worst workday?
What we’re shipping today isn’t perfect.
But it’s honest. It’s fast. And it’s built around what we personally rely on every day to get real work done.
Proud of the team for choosing depth over shortcuts and excited to keep improving WorkElate with real users in the loop.
Shipping the mobile app for WorkElate hit differently.
When you know your own team depends on the app every single day, to track work, close loops, and stay aligned “good enough” stops being an option.
We used the mobile app to manage builds, bugs, reviews, and release pressure. That meant if something felt slow, unclear, or fragile, it wasn’t just a user issue it was our issue, immediately.
There were days when fixing one thing broke another. Days when rebuilding the flow felt risky but necessary. And days when the only question that mattered was: would I trust this in a real moment of urgency?
Eating our own dogfood taught me that great products aren’t loud. They’re reliable. They don’t demand attention they quietly support it.
What’s live today is the result of that mindset. And while this is just the foundation, I’m proud of what we’ve built and even more excited about where we’ll take it next.