Nova is the AI Operator that builds and improves your AI customer experience team, no developer required. Describe in plain language how customers should be handled and connect your tools. Nova builds the agents, tests them on past tickets and shows you what failed before anything goes live. Once running, it monitors quality and proposes fixes 24/7 for approval. Agents resolve whole requests, from orders and refunds to plan changes, across email, chat and WhatsApp. Unresolved requests are free.
I'm curious about the "unresolved requests are free" pricing model. How do you define what counts as "resolved" vs "unresolved"? For example, if the AI gives an answer but the customer isn't actually satisfied, does that still count as resolved and get charged? Is there a quality threshold or customer feedback signal that determines this?
1-2 hours for something simple vs 2-4 weeks for enterprise is honestly a pretty believable range, not the fake 5 minutes for everything claim these launches usually make. Congrats on the launch!
how do you keep tests on past tickets from overfitting to the old way the team handled them
In what manner does Nova evaluate the agents with respect to old tickets? Is it by playing back real conversations or simulating new conversations? Btw, Congrats @davideberle & team on the Excellent launch of Typewise Nova. 🚀✌️
congrats on the launch loving the focus on agents remembering context across channels,
quick qustion how does typewise Nova handle context rentention when a user switches between channels like email and live chat mid issue?
For me full automation feels a bit risky, tell me how well does it actually handle weird edge cases without making mistakes?
My support team suggested trying this to reduce manual CRM updates across multiple channels.
I am curious how it handles duplicate entries if a customer emails and chats at the same time.
A friend in B2B recommended I check out Typewise for our billing tickets, so here I am!
Congrats on a very cool (and valuable) product. The 15-minute setup sounds very cool, but the reason these tools need so much setup is because the real world is full of exceptions. And good solutons often depend on decisions that are not documented. So I'm curious after those first 15 minutes, roughly how much more work does a typical customer need to do before they're ready to trust Nova to handle tickets autonomously?
Happy launch! "Runs, tests, monitors and improves” is a pretty ambitious loop. What part of the operation still requires the most human oversight today? Good luck today!
This feels like a natural evolution from simple AI chatbots to truly useful AI agents.
This is a smart approach to AI customer service. Can Nova identify when an agent gives a poor response?
This could save teams a lot of time and consultant costs. How long does it usually take to set up Nova?
Love the idea of making advanced AI customer service accessible to smaller teams too. 🙌
AI support sounds easy until the edge cases start showing up😄 How does Nova handle those tricky cases?
Congrats @davideberle Can Nova help improve an existing AI support agent, or is it mainly for new agents?
The continuous testing and improvement part caught my attention. Is this mostly automated?
I loved the focus on letting AI handle complete customer journeys instead of just letting AI reply to messages. I would be more interested in seeing how teams measure the quality improvements over time. Btw, Good launch, Congrats!
About Typewise Nova on Product Hunt
“AI customer experience that builds and improves itself”
Typewise Nova launched on Product Hunt on September 10th, 2026 and earned 340 upvotes and 61 comments, earning #1 Product of the Day. Nova is the AI Operator that builds and improves your AI customer experience team, no developer required. Describe in plain language how customers should be handled and connect your tools. Nova builds the agents, tests them on past tickets and shows you what failed before anything goes live. Once running, it monitors quality and proposes fixes 24/7 for approval. Agents resolve whole requests, from orders and refunds to plan changes, across email, chat and WhatsApp. Unresolved requests are free.
Typewise Nova was featured in Customer Communication (12.8k followers), SaaS (44.3k followers) and Artificial Intelligence (478.9k followers) on Product Hunt. Together, these topics include over 183.8k products, making this a competitive space to launch in.
Who hunted Typewise Nova?
Typewise Nova was hunted by Garry Tan. 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.
Want to see how Typewise Nova stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Garry Tan
Congrats on the launch!
I'm curious about the "unresolved requests are free" pricing model.
How do you define what counts as "resolved" vs "unresolved"?
For example, if the AI gives an answer but the customer isn't actually satisfied, does that still count as resolved and get charged?
Is there a quality threshold or customer feedback signal that determines this?