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Waydev Agent

Prove ROI and see if your AI spend is actually paying off

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Hunted byRajiv AyyangarRajiv Ayyangar

Waydev measures the AI Adoption, AI Impact, and AI ROI of your engineering teams, copilots, and autonomous agents — across every tool from Cursor to Claude Code to Devin. Ask Waydev, our agent, turns engineering data into answers in plain English (and more). Skills let you configure it with SKILL.md files. MCP exposes your engineering feed to any external agent. Built for engineering leaders who'd rather have conversations than dashboards.

Top comment

Hey PH 👋

Alex here, founder of Waydev. Thanks @rajiv_ayyangar for the hunt — and shoutout to the team at Deel for including us in Pitch by Deel NYC. Excited to be part of it.

Nine years ago I started Waydev because engineering leaders were flying blind on what their teams actually shipped. Now half the code is written by Cursor, Claude Code, Copilot, and Devin — and the question from CFOs is the same one in different clothes: is the seven-figure AI bill actually paying off?

Most teams don't know. They're guessing.

Waydev is the measurement layer for AI-written code. We track three things across the full SDLC:

  • AI Adoption — who's using which tool, how often, how deeply

  • AI Impact — does the AI-written code ship, get reverted, or rot in PR

  • AI ROI — dollars in vs. throughput out, across humans, copilots, and autonomous agents

Today we're shipping three things that change how engineering leaders interact with their data:

  • 🤖 Ask Waydev — our agent. Ask in plain English, get a real answer. No more dashboards no one opens.

  • 📄 Skills — configure Ask Waydev with SKILL.md files.

  • 🔌 Waydev MCP — your engineering feed, exposed to any external agent. Plug it into Claude, Cursor, your internal tools — whatever's already in your stack.

The framing we keep coming back to: MCP is the data out. Skills are the instructions in. Ask Waydev is the conversation in the middle.

The bet: engineering leaders would rather have conversations than dashboards.

We've been covered by TechCrunch, TNW, and DevOps.com along the way.

I'll be in the comments all day. Roast the product, ask the hard questions. That's how this gets better.

— Alex

Comment highlights

The question you're solving is the one every engineering leader I know is struggling with right now. When I was CTO scaling from 15 to 120 engineers, measuring productivity was already hard enough with human-written code. Now with half the code coming from AI tools, the old metrics are completely broken - lines of code, commit frequency, PR velocity - none of it means what it used to. The conversational approach over dashboards is smart too. The engineering leaders I talk to don't want another dashboard to check; they want answers. How are you handling the signal-to-noise problem when an engineer uses Cursor for boilerplate but does the hard architecture thinking on a whiteboard that never touches the SDLC?

@alex_circei - this is very cool, sorely needed, & looks extraordinarily well designed. With that said… I *ardently* wish you hadn’t chosen to conceal pricing data in the way thay you have. Well, I understand the philosophy, I didn’t tell you that for me it’s an immediate turn off and makes me wary to even engage the platform. Simply: I don’t know if I’m gonna really Waydev, & at the end of seven days, be expected to spend four figures a month, or be locked into an annual contract, or pay some crazy additional amount per seat, or something else that makes this fundamentally untenable for me to use. Again: great work here. This is definitely something special. I just think a little bit of transparency would go a long way. 

The "AI Impact" piece is the hardest problem in this space and most tools quietly fudge it. Devs don't write code in clean buckets. They use Cursor to draft, rewrite half by hand, accept Claude's completion on three lines out of fifty, paste a ChatGPT snippet and edit it for an hour. What's Waydev's actual attribution method when AI authorship is partial, mixed, and deniable? IDE-plugin self-reporting, statistical fingerprinting on commits, or something else?

How does Waydev’s AI ROI approach differ from platforms like Jellyfish or Faros that also claim “AI impact/ROI”—specifically in how you model cost (licenses + tokens) against outcomes and how you handle confounders like team mix, project complexity, and seasonality?

This is super relevant right now. Everyone is pouring money into AI, but barely anyone knows what it’s actually returning. Love the shift from dashboards to conversations, feels way more natural for how teams want to work.

the 'ai adoption vs ai impact vs ai roi' split is the right decomposition. most teams collapse all three into 'are devs using cursor' which tells u nothing about whether the code actually shipped or got reverted. measuring the impact layer is where this gets interesting

About Waydev Agent on Product Hunt

Prove ROI and see if your AI spend is actually paying off

Waydev Agent launched on Product Hunt on May 5th, 2026 and earned 237 upvotes and 18 comments, placing #4 on the daily leaderboard. Waydev measures the AI Adoption, AI Impact, and AI ROI of your engineering teams, copilots, and autonomous agents — across every tool from Cursor to Claude Code to Devin. Ask Waydev, our agent, turns engineering data into answers in plain English (and more). Skills let you configure it with SKILL.md files. MCP exposes your engineering feed to any external agent. Built for engineering leaders who'd rather have conversations than dashboards.

Waydev Agent was featured in Pitch NYC (2 followers) on Product Hunt. Together, these topics include over 85 products, making this a competitive space to launch in.

Who hunted Waydev Agent?

Waydev Agent was hunted by Rajiv Ayyangar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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