Products/Customer support tools, Data analysis tools, Survey and form builders/Elvan

Elvan

Turn customer feedback into decisions with AI

Customer support tools, Data analysis tools, Survey and form buildersFounded 2026In-product feedback collection via Web SDKEmail-based feedback collectionEmbedded forms and shareable linksShopify, Intercom, Salesforce integrationsOmnichannel feedback collectionAI sentiment detectionTheme clustering and recurring pattern identificationEarly churn signal surfacingFeature request identificationAutomated summary generationSurvey triggers from Zendesk and Salesforce on key events (ticket resolution, deal closure)Real-time Slack streaming

Our Take

Elvan's whole pitch is that most feedback tools ask too late — after the user has already churned — and the responses just sit in a CSV nobody reads. What makes this different from the thousandth NPS tool is that they built it AI-native from day one instead of bolting AI onto an existing survey builder, which means sentiment analysis, churn signals, and theme clustering actually work instead of being marketing jargon. The real-time Slack streaming is the practical piece that makes this about actually doing something with feedback, not just collecting it. It's extremely early (founded this year, 180 followers), so I've got nothing but vibes and a $40 discount code to go on, but the framing is solid.

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.

Problem It Solves
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 does not drive decisions
Target Customer
SaaS founders and product teams, Customer Success and CX leaders, Product-led growth teams, Indie hackers, 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
Pricing Details
Use code: PRODUCTHUNT for 40% discount on first 12 months. Early users get direct access to founder for feedback and roadmap input.
Differentiator
Built from scratch as AI-native platform focused on turning feedback into action. No complex builders, no manual tagging, no enterprise bloat. Started with AI-first approach rather than adding AI to surveys later.
Why Now
Teams already collect NPS/CSAT but feedback doesn't drive decisions. The problem is timing (too late), scattered signals, manual analysis, and missed churn signals.
Traction
Notable Metrics: 180 followers, 15 Day Rank on Product Hunt, 105 points

Key Facts

Category
Customer support tools, Data analysis tools, Survey and form builders
Founded
2026
Pricing
40% off first year
Discovered via
product-hunt

The people behind Elvan

R

Ravi H

profile

Links

Want products like this in your inbox every morning?

Five products. Every morning. Written by someone who actually cares whether they're good or not. Free forever, unsubscribe whenever.