We’re excited to share that DevRev is a launch partner in @OpenAI Marketplace.
Getting help at work shouldn’t mean repeating your story, digging through tabs, or figuring out who owns what.
DevRev helps customers and employees get unstuck – with the context needed to move things forward. And when the next step needs a person, the right context comes with it.
Now, OpenAI enterprise customers can find DevRev in the OpenAI Marketplace, see what it can do, and tell us they want to learn more.
Want to know how this will work? Adnan Bhutta, our CVP of Business and Alliances, shares more in his blog: dvrv.ai/4ddOg8C
An escalation closes, but the work behind the resolution rarely makes it into the ticket.
It lives across old conversations, in the memory of someone who remembers the workaround, or in a product change from months ago that finally explains the customer’s issue.
Phil Verghis, Founder of the Verghis Group and Advisor at DevRev, calls this the “second job” – the work your best people do just to get their actual job done.
When problems cross vendors, that job often falls on the customer. It’s 2 AM, their systems are down, and every vendor’s dashboard is green.
AI can connect the old case, the Slack thread, and the engineering change. But the call nobody documented? The workaround only one colleague knows still holds?
So how do we make that knowledge available when it matters most?
Phil Verghis explores the challenge and what it takes to solve it in the full article: bit.ly/4Bh1LPe
Your AI misses a customer affected by a bug. Would a better model catch it, or did the system never connect the bug to that customer’s account?
Our Co-founder and CEO @dheeraj shares what we learned testing that question in this CIO article: dvrv.ai/3TAKSy8
Cards, charts, or plain text? Designing GenUI in Computer xitter.cf/i/broadcasts/1nGnRBpav…
devrev retweeted
things we shipped today to superlog.sh:
- triggers on @github pull requests opened or merged
- integration with @devrev
- using @vercel as a context in your automations
🚀 never stop shipping
Need a status, comparison, or trend? You shouldn’t have to dig through a long AI answer.
Later today on DevRev Live, Technical Engineer Shivam Kumar and Product Designer Kavinas Sundaramurthy discuss how they’re designing GenUI in Computer.
See you here when Shivam and Kavinas go live.
“Work softer.” Sounds good. But are we really going to say that?
Even inside DevRev, it took a little getting used to. What does it mean? Is it too soft? What happened to working hard?
In S2E4 of The Computer Program, the team shares those first reactions... and how a few days with the idea helped them see where it could go.
Catch the full story in S2E4: dvrv.ai/4zlHC8I
What was your first reaction to “Work softer”?
“I’ve always been drawn to companies that challenge conventional thinking.”
We’re glad that brought you to DevRev, Chris.
@chriskaddaras is joining us as an advisor, bringing experience from Juniper Networks, @nutanix , and beyond.
We’re looking forward to his perspective on the decisions ahead: where to focus, how to grow, and how to turn our ambition into something that matters to customers.
devrev retweeted
Exclusive: I sat down with @dheeraj (Dheeraj Pandey), Co-Founder and CEO of @devrev and Co-Founder and Fmr CEO of @nutanix, to discuss how AI is transforming enterprise software and the future of programming.
In 2016, he took Nutanix public in the largest U.S. venture-backed IPO of the year.
Now, he’s building again with DevRev, valued at $1.15B after a $100M Series A, backed by @vkhosla (@khoslaventures), @NavinChaddha (@MayfieldFund) and others.
“The iPhone moment for the enterprise is here. The LLM is the new compiler.”
@BoardroomClub1
Chapters:
00:00 iPhone Moment for the Enterprise
00:15 Intro
00:51 Advice for people in the AI era
03:30 From Oracle to Building Companies
06:41 Building Nutanix: Critical Bets
09:25 From Nutanix to Building DevRev
11:08 Lessons from Nutanix
14:28 DevRev Mission
19:25 The Relation between Dev and Rev
25:05 How to Decide Which Features to Build?
29:20 The Future of Developers and Computer Science
33:50 Other Verticals Dheeraj Follow: Biotech & Quantum
36:57 Mentorship
37:56 Favorite Book
38:09 Favorite Movie
Operator in action xitter.cf/i/broadcasts/1qGvveabW…
“Got a minute?” adds up across a company.
Someone needs access, an answer, a routine fix. They’re stuck until another person can stop what they’re doing and help.
With self-service, they can get those everyday needs sorted and get back to work. Your team has fewer interruptions and more time for problems that need their experience and judgment.
Our co-founder and CEO @dheeraj shares his take on getting that balance right by knowing what AI can handle on its own and where people need to step in.
See how we’re putting that balance into practice with customer and employee self-service at DevRev: dvrv.ai/478HjCh
It’s live! The Computer Program, season 2, episode 3 🖥️
Two months until the brand campaign for Computer, by DevRev goes live. The website copy is drafted. The billboards? Still to be sorted out. The film shoot? Not booked yet.
And the team is still asking... what will make someone stop and pay attention?
The copy. The billboards. The film. All in two months.
Can they make it land before the clock runs out?
Watch the full episode here to know more: dvrv.ai/4jaasUR
Your to-do list could use some backup. Preferably one that does the work.
AI workers are designed to use business context to plan tasks, make decisions, and take action. So what can you hand over, and what still needs your attention?
Join @ahmedmbashir and Nikhil Talwar tomorrow, live right here on X, to see what you can hand over to an AI worker.
Bring your questions – and that task you keep putting off!
You bought AI to give your team time back, but how much are they spending getting it ready to help?
Before a QBR, your team still has to gather account updates, support tickets, and customer commitments. By the time AI has the context, they’ve already done much of the work you bought it to handle.
But what if your AI already had that context when your team asked?
That’s where Computer, by DevRev comes in. Its Shared Memory connects your live business data, so it can reason across the full context and deliver precise, cited answers, with permissions intact.
See how Computer puts your business context to work: dvrv.ai/478bppw
Turning frontier AI into a dependable AI worker xitter.cf/i/broadcasts/1wxWjlkPk…
devrev retweeted
AIを「答える」から「解決へ進める」へ。
DevRevがOpenAI Marketplaceのローンチパートナーに参加しました。
顧客・従業員のセルフサービスを支えるComputer。
OpenAI公式の日本語ページにもDevRevが掲載されています。
openai.com/ja-JP/business/ma…
#DevRev #OpenAI
Ten people loved the pilot. Now a thousand want access.
Sales needs the latest pricing. Support needs a customer’s history. A new hire needs the right policy. Each answer means searching through more of your company’s information.
And when the answer misses something, someone asks again, adds more context, or checks it manually. You’re paying for another attempt while your team is still waiting.
Soon, you’re deciding who gets access and how much they can use. An awkward follow-up to “we’re rolling this out to everyone.”
Before expanding the pilot, ask what it costs to get an answer someone can actually use – across every team, every day.
See what Computer can do: dvrv.ai/4xUEWOo
It’s live: “The Computer Program”, season 2, episode 2.
Three months to launch Computer, by DevRev – to everyone. A brand campaign is taking shape alongside it. And the team is still working out what happens when someone opens Computer for the first time.
– Will they trust it enough to connect their data?
– Can they set it up without someone beside them?
– And when they ask their first question… Will the answer actually help?
Martin Jackson, DevRev’s copywriter, has spent months shaping how Computer responds. One of the instructions he wrote says it plainly:
“Get to the point. No bullshit.”
Now product, design, engineering, and marketing have to make the rest of that first experience feel just as clear – before launch.
Can the team make someone’s first experience with Computer as clear as Martin’s words?
Watch the episode now: dvrv.ai/47r5jR4











