Next-generation, AI-native feedback platform to collect NPS, CSAT, and CES across product, email, embed, and tools like Zendesk and Salesforce. Trigger surveys at the right moment across every touchpoint, then analyze every response with AI to uncover sentiment, themes, and churn signals. Responses stream to Slack in real time so teams can act instantly. No complex builders. No manual tagging. Just clear signals that help you build better products.
We built Elvan on @Vercel with a simple goal. Make customer feedback as actionable as product analytics.
🧩 What is Elvan?
Elvan is a next-generation, AI-native feedback platform that helps you collect and understand customer feedback across every touchpoint.
You can collect feedback via:
In-product (Web SDK)
Email
Embedded forms
Shareable links
Shopify, Intercom, Salesforce, and your website
It is built for true omnichannel feedback collection, not just one channel.
🚨 The Problem
Most teams already collect NPS or CSAT.
But:
Feedback is collected too late
Signals are spread across tools
Responses sit in CSV exports
Teams read comments manually
Churn signals are missed
Feedback gets collected, but it does not drive decisions.
💡 The Solution
Elvan turns feedback into a real-time signal layer.
Capture feedback at the right moment based on real user events
Collect across channels like product, email, and your existing tools
Automatically analyze responses with AI
Route insights to where your team already works
You go from raw responses to clear, structured insight your team can act on immediately..
⚡ Why Elvan is Different
We did not start with surveys and add AI later.
We built Elvan from scratch to focus on one thing. Turning feedback into action.
No complex builders
No manual tagging
No enterprise bloat
🧠 Features & Benefits
Elvan automatically:
Detects sentiment
Clusters recurring themes
Surfaces early churn signals
Identifies feature requests
Generates summaries you can share with leadership
Feedback collection can be triggered directly from tools like Zendesk and Salesforce when key events happen, such as ticket resolution or deal closure.
Responses stream into Slack in real time, so your team sees customer feedback as it happens and can act immediately.
Instead of reading 200 responses, you get a few clear actions to focus on.
👥 Who is this for?
SaaS founders and product teams
Customer Success and CX leaders
Product-led growth teams
Indie hackers
Especially teams that already collect feedback but struggle to act on it.
🔧 Use Cases
NPS after onboarding
CSAT after support interactions
In-product feedback after feature usage
PMF surveys
Post-purchase feedback for eCommerce
🎁 Launch Offer
We are offering 40% off for the first 12 months Use code: PRODUCTHUNT
Early users will also get direct access to me for feedback and roadmap input.
We've always struggled with feedback living in too many places. Support tools, emails, and random docs all end up containing bits of insight.
Having a single place with automatic analysis sounds really practical. Does Elvan work well even if you only have a few dozen active users?
Timing feedback correctly is such an underrated problem. Most teams either ask too early or way too late.
Curious how Elvan decides when to show a survey. Is it based on user actions or predefined timing rules?
About Elvan on Product Hunt
“Turn customer feedback into decisions with AI”
Elvan launched on Product Hunt on April 17th, 2026 and earned 79 upvotes and 5 comments, placing #13 on the daily leaderboard. Next-generation, AI-native feedback platform to collect NPS, CSAT, and CES across product, email, embed, and tools like Zendesk and Salesforce. Trigger surveys at the right moment across every touchpoint, then analyze every response with AI to uncover sentiment, themes, and churn signals. Responses stream to Slack in real time so teams can act instantly. No complex builders. No manual tagging. Just clear signals that help you build better products.
Elvan was featured in Customer Success (6.1k followers), SaaS (41.5k followers) and Vercel Day (5 followers) on Product Hunt. Together, these topics include over 41.8k products, making this a competitive space to launch in.
Who hunted Elvan?
Elvan was hunted by Rohan Chaubey. 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 Elvan stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey
Hey Product Hunt 👋
I’m Ravi, co-founder of Elvan.
We built Elvan on @Vercel with a simple goal. Make customer feedback as actionable as product analytics.
🧩 What is Elvan?
Elvan is a next-generation, AI-native feedback platform that helps you collect and understand customer feedback across every touchpoint.
You can collect feedback via:
In-product (Web SDK)
Email
Embedded forms
Shareable links
Shopify, Intercom, Salesforce, and your website
It is built for true omnichannel feedback collection, not just one channel.
🚨 The Problem
Most teams already collect NPS or CSAT.
But:
Feedback is collected too late
Signals are spread across tools
Responses sit in CSV exports
Teams read comments manually
Churn signals are missed
Feedback gets collected, but it does not drive decisions.
💡 The Solution
Elvan turns feedback into a real-time signal layer.
Capture feedback at the right moment based on real user events
Collect across channels like product, email, and your existing tools
Automatically analyze responses with AI
Route insights to where your team already works
You go from raw responses to clear, structured insight your team can act on immediately..
⚡ Why Elvan is Different
We did not start with surveys and add AI later.
We built Elvan from scratch to focus on one thing. Turning feedback into action.
No complex builders
No manual tagging
No enterprise bloat
🧠 Features & Benefits
Elvan automatically:
Detects sentiment
Clusters recurring themes
Surfaces early churn signals
Identifies feature requests
Generates summaries you can share with leadership
Feedback collection can be triggered directly from tools like Zendesk and Salesforce when key events happen, such as ticket resolution or deal closure.
Responses stream into Slack in real time, so your team sees customer feedback as it happens and can act immediately.
Instead of reading 200 responses, you get a few clear actions to focus on.
👥 Who is this for?
SaaS founders and product teams
Customer Success and CX leaders
Product-led growth teams
Indie hackers
Especially teams that already collect feedback but struggle to act on it.
🔧 Use Cases
NPS after onboarding
CSAT after support interactions
In-product feedback after feature usage
PMF surveys
Post-purchase feedback for eCommerce
🎁 Launch Offer
We are offering 40% off for the first 12 months
Use code: PRODUCTHUNT
Early users will also get direct access to me for feedback and roadmap input.