Novus

Catch and fix usability issues automatically as you ship

Analytics

SaaS

Artificial Intelligence

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What kind of instrumentation does Novus add, and can teams review or approve changes before anything ships?

Great work on Novus, Pendo folks! The ability to identify usability issues and not only flag them but produce code to fix them is pretty awesome.

One of the things I love most about Novus is the ability it is helping builders ship! There is no reason to get caught up and taken off of our momentum when building a great product to have to fix something you missed and that is exactly what I am seeing Novus help people with and its awesome. Improving your product as you build is just something a small team used to not be able to do and now you keep building and have an amazing tool polishing up that final product.

I use Novus on Novus as one of the designers on the product team! Now that I'm bridging both design and engineering — actually building the features that I design — Novus has become an integral part of how I understand both how customers are using what I shipped, and where the gaps are. The PR reviews give me that extra layer of support and confidence, and signals help me close the loop by monitoring metrics and resolving issues, all in one place.

Hey everyone 👋

I’ve spent the last few months helping with the Novus beta program, hosting a webinar with one of our design partners, and recently getting the Novus community ready for launch (https://community.pendo.io/home/clubs/novus).

Fun meta moment: while building the community, I used Novus to create an engagement guide to our users.

Excited to finally share Novus with the Product Hunt community today 🚀

If you’re building something, I’d love to hear about it in the comments. AMA!

Hi folks!

I'm the product lead for Novus, and what excites me most isn't just the automation. It's that Novus closes the full loop: from automatically instrumenting your code, to proactively surfacing signals, to implementing fixes via pull requests. No tool has done this before, and it changes what's possible for product teams of any size.

Can't wait to see what our beta customers build with it — AMA!

Hey Product Hunt, I’m Brett, Director of Marketing Engineering at Pendo. Tracking new website features has always been challenging. Classes change, elements move, flows get refactored, making manually instrumented analytics painful to maintain. Now my team is leveraging AI to ship at 10x speed which only makes that harder. Using AI tools to ship more doesn’t mean much if you can’t tell whether the features actually add value. That’s why I’m excited about Novus. By connecting directly to your codebase, Novus understands your code updates, then keeps analytics current as your product changes. Excited to hear what you all think and happy to answer any questions I can!

We've been using Novus for a few months and it's changed how we think about analytics. Analytics is only as good as the story it tells, and if you're just looking at the numbers you can make them say almost anything. Novus grounds that story in reality by treating your codebase as a source of truth. This means that your analytics metrics now have the nuance and understanding of the product which makes insights exponentially more valuable and less prone to misinterpretation. This is a really novel and interesting approach and I feel like one of those things we will look back in a year and say "I can't imagine going back to the old way of doing it".

As an engineer, the GitHub integration is one of my favorite features. Novus watches every PR, warns us when a change might break our tagging, suggests new things worth tracking, and flags the UX impact of what we're shipping. I've been impressed with the signal to noise ratio and it has become a really valuable step in our toolchain, especially as AI keeps speeding up how fast we build.

Hey Product Hunt builders! 👋

I'm Mike -- Head of Product Evangelism at Pendo and a longtime member of the global product community as Co-Founder of Product Collective and, more recently, Director of Mind the Product. I spend most of my time talking with product people around the world about how our work is changing... and the theme I keep hearing everywhere is the same: we're all shipping faster, but staying on top of what's actually working is becoming its own full-time job.

That's why I'm pretty pumped about Novus. The hardest part of product right now isn't building features -- it's closing the loop between what you ship and whether it's moving the needle. Novus automates that loop, from instrumentation to insight to fix -- and honestly, I haven't seen much out there that does that.

Whether you're a PM rethinking your workflow in the AI era, a founder trying to understand if this fits your team, or just curious about where product intelligence is heading -- feel free to drop a question below! Happy to chat.

Fun confession from the build: when we first put up novus.ai to gauge interest, our sign-up forms weren't instrumented correctly. I had shipped them in a hurry and the events just weren't firing right. Then we installed Novus on the site. It flagged the broken instrumentation almost immediately, told me exactly what was wrong, and offered to fix it—opening a detailed PR for me to review and merge. The power of Novus instantly clicked for me, even for a marketing website.

This is a strong direction. Teams are shipping faster, but usability issues often show up after users struggle, churn, or complain. I like the idea of a product agent that watches continuously instead of waiting for manual QA or user feedback.

What kind of issues does Novus catch best today: confusing flows, broken states, or low-conversion moments?

Hey folks, I lead product for Novus and more generally design & research at Pendo. Why is a designer responsible for such a developer-centric product experience?

My view is every product & design org right now is move closer to technology again, and the best are shipping code every day regardless of their role.

Sure we can now all build more but you don't know if it worked until you have the ground truth of whether it drove adoption.

AMA!

Congrats on the launch! Does it also alerts if some anomaly happens in production? (because of some edge cases) Also, how frequently it checks for app health?

I like the idea of catching usability issues before they turn into user complaints. That's usually hard to see when a team is shipping fast. How does Novus decide which issues are important enough to flag?

Love the idea of a product agent that proactively finds issues instead of waiting for someone to notice them. Feels like the natural next step after coding agents. Congrats on the launch!

Hey builders!

I'm Sean, Lead Engineer at Mind the Product (the world's largest PM community and creators of Vennie.AI). These days thanks to AI we're shipping at 100x speed, but understanding what our users do after we ship is getting harder to keep up (...so many more features to track!).

With Novus, we're able to automatically tag, track and understand our users at a scale that's never been possible as a tiny team within Pendo. We can ask Novus in Slack of any question related to our product, or use the MCP to bring it into our coding agents like Claude and give it the full important context of our usage data.

I'm excited for you all to try it out yourselves. Let us know what you think, and ask any questions. We're here to help 🫡

At almost every company I've been part of, product analytics has been the wedge between a good product and a great one.

The challenge is that most teams are flying partially blind. Critical user journeys aren't instrumented, key signals are missing, and engineering teams spend valuable time manually adding tracking, maintaining analytics, and digging through dashboards to understand what's happening.

Even when you identify a problem, someone still has to determine the root cause and implement the fix.

That's why we built Novus.

Novus connects to your codebase and automatically instruments your product as you ship. It collects the signals you didn't know were missing, continuously monitors for issues users are encountering, investigates what changed, and proposes fixes directly in code via pull requests for your review.

The vision isn't another analytics platform. It's an autonomous product teammate that closes the loop from instrumentation → insight → fix.

congrats on the launch team. I'd be interested to understand how, practically; Novus identifies signal v noise on real issues (a real bug v a housekeeping issue)