Novus - Catch and fix usability issues automatically as you ship
Novus is the product agent built for teams that ship fast. Connect your codebase and Novus automatically instruments, analyzes, and improves your product — no manual setup. It monitors continuously, flags usability issues proactively, and delivers intelligence for engineers and PMs.
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Novus
Hi Builders!
I'm Valeria, Head of Community @ Mind the Product, working closely with the Novus team to help support the new wave of building. We've partnered with the Novus team to bring you our World Product Day Hackathon that kicked off two weeks ago: https://mindtheproduct.devpost.com/
Also use Novus daily to check on all things MTP. Excited to see what y'all think!
Novus
@valeria_khokhlova If you want more info on Novus, you can also check out our landing page (it's pretty snazzy) at Novus.ai or ask a question here!
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)
Novus
@zolani_matebese Thanks so much!! Great question, Zolani.
Novus cross-references your GitHub repo, Novus configuration, and live usage data simultaneously, looking for gaps between what's instrumented and what's actually observed.
Every flagged issue gets a severity rating based on data fidelity impact, how central the affected journey is, and whether there's a concrete fix available. And before anything changes, Novus presents an investigation plan for your approval. You see what it found, why it flagged it, and exactly what the proposed fix will do. No PR gets created until you sign off.
Novus
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 🫡
Novus
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!
Stripo.email
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!
Novus
@alina_tyslenok_ We're glad you love Novus, thank you!
That's exactly the problem we're trying to solve. Creating an agent that not only tracks data but also watches it for you and finds those insights... rather than you having to sit in a dashboard all day 😎
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?
Novus
@ashishkingdom great question! Yes it checks every day for anomalies, including funnel drop offs or being rage prompting your AI, and surfaces that as signals. Novus will then run an investigation and post a PR to fix it too!
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?
Novus
@busra_seker1 Thanks Büşra, great question!! Novus is absolutely great for catching the issues your users face but don't (yet) report and getting ahead of those.
Novus grounds issues from first party data of every track event with built in statistical filters of what's relevant, what's significant, and how important it is. It also watches the real user sessions (through session replay) to understand what's going wrong in every journey.
The agent even understands your business and application in it's contextual Cortex it generates when you onboard to be able to figure out what problems are critical to your product and what could wait.
All of this data helps Novus to cut through the noise and give you real actionable insights, that you can then investigate and solve with Novus itself (it's pretty awesome).
Novus
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.
Mailwarm
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?