@CodeByNZi
iAccount based inAfrica
About this account
- Account based in
- Africa
- Connected via
- Africa App Store
Account-level information from X, not a live location or the device used for a specific post.
AI Insider / Tracking the race to AGI Startups • Agents • Open Source Sharing what matters before it goes mainstream
127.0.0.1
Joined August 2024
- Tweets16.9K
- Following692
- Followers18.9K
- Likes58.8K
NZ ☄️ retweeted
The Dangote IPO is officially live and open to eligible investors across Africa. 🇳🇬📈
I tried the subscription process through Payaza, and the experience was seamless and straightforward.
NZ ☄️ retweeted
I’m 48, building products & communities and live in Thailand.
On X I share about AI and communities.
Looking to connect with builders and founders here.
NZ ☄️ retweeted
I recieved this message a few minutes ago thinking it’s from @X I clicked on the link. It asked me to sign in to my X account and the appeal form appeared with a repost I did as the violation and the form asked for my government ID.
I decided to check the account properly, turns out it’s not from @X and it’s not affiliated to @X I did a background check with @grok and it turned out to be a scam.
Please don’t fall for this too, I’ve changed my password now.
Let’s report this scam account @X @nikitabier @elonmusk someone is impersonating X
A company went from taking 28 hours to close its billing cycle to just 14 minutes. Faster than your morning coffee.
🤝 Paid partnership
As AI models get better, cheaper and more widely available, we believe one of the biggest moats will be the proprietary data created by actually doing the work.
Today, we’re announcing a $42M Series B led by @insightpartners for @backopsai, just six months after our $26M Series A.
We’re building the intelligence and resolution layer for companies that make and move physical goods.
These companies still rely on people to connect ERPs, WMSs, TMSs, carrier portals, email, spreadsheets, customers and suppliers. BackOps sits across that ecosystem, gathers context, makes decisions, takes action and carries work through to resolution.
Since our Series A, one customer alone has processed 500K+ claims through BackOps. As volume grew 150x, automated resolution improved from 87% to 99%.
Another took a process that averaged 28 hours and brought it down to 14 minutes.
But what we’ve learned over the last six months is that the resolution itself may only be the beginning.
Every time BackOps completes work, it creates proprietary data around the context, decisions, actions and outcomes behind it.
At scale, that means understanding where processes break, why they break, which actions produce the best outcomes and how those processes should improve.
And that gets much more interesting as BackOps expands across an ecosystem.
If BackOps operates across a large grocer and the manufacturers, suppliers, distributors and carriers around it, we don’t just understand one company’s workflow. We begin to understand how work moves between them: where problems originate, how they cascade through the network and what actually resolves them.
Every additional process makes that intelligence stronger. And every additional company makes the network more valuable.
That’s the flywheel we’re building.
Our customers shouldn’t just automate more work. They should run on an operational intelligence layer that gets better as they use it and stronger as the network around them grows.
And next month, we’re launching something that unlocks a much bigger part of this vision.
NZ ☄️ retweeted
As AI models get better, cheaper and more widely available, we believe one of the biggest moats will be the proprietary data created by actually doing the work.
Today, we’re announcing a $42M Series B led by @insightpartners for @backopsai, just six months after our $26M Series A.
We’re building the intelligence and resolution layer for companies that make and move physical goods.
These companies still rely on people to connect ERPs, WMSs, TMSs, carrier portals, email, spreadsheets, customers and suppliers. BackOps sits across that ecosystem, gathers context, makes decisions, takes action and carries work through to resolution.
Since our Series A, one customer alone has processed 500K+ claims through BackOps. As volume grew 150x, automated resolution improved from 87% to 99%.
Another took a process that averaged 28 hours and brought it down to 14 minutes.
But what we’ve learned over the last six months is that the resolution itself may only be the beginning.
Every time BackOps completes work, it creates proprietary data around the context, decisions, actions and outcomes behind it.
At scale, that means understanding where processes break, why they break, which actions produce the best outcomes and how those processes should improve.
And that gets much more interesting as BackOps expands across an ecosystem.
If BackOps operates across a large grocer and the manufacturers, suppliers, distributors and carriers around it, we don’t just understand one company’s workflow. We begin to understand how work moves between them: where problems originate, how they cascade through the network and what actually resolves them.
Every additional process makes that intelligence stronger. And every additional company makes the network more valuable.
That’s the flywheel we’re building.
Our customers shouldn’t just automate more work. They should run on an operational intelligence layer that gets better as they use it and stronger as the network around them grows.
And next month, we’re launching something that unlocks a much bigger part of this vision.
NZ ☄️ retweeted
Introducing CoreSpeed.
Connect your apps, keep memory across agents, and use media gen, web, social research tools and more through one MCP endpoint. Agent identities, budgets and activity logs are built in.
Everything your agents need.
Get started: corespeed.io