Ask our AI Agent anything across your customer reviews, support chats, calls, and surveys; get root causes by version, device, and plan - with proactive alerts before issues get expensive.
I’m Elena, co-founder & ceo of Spiral and a PH regular since 2018. Fun fact: we launched TogethAR 🚀 back in the day - a Clubhouse‑in‑AR experience … probably before the market was ready for it 😅.
Why Spiral? 💡
I was an SDE on Amazon Fire TV and kept seeing thousands of support contacts fly by. It made me wonder about one question: what’s one complaint I can address today that will benefit the most customers? We built Spiral to know exactly that.
What Spiral does 🌀
Our AI dives into millions of reviews and support contacts, e.g., live chats, phone calls, emails, NPS/CSAT, then auto-digests everything into specific issues, makes them searchable using our AI Agent, and surfaces root causes by metadata like version, device, plan, country, and more. Ask broad or specific questions and get evidence‑backed answers (with quotes). Fewer tickets, faster fixes, higher ratings. 🙌
What’s new today 🚀
We are launching a self-serve AI Agent for public review sources! Our customers have used Spiral to scan support conversations for years and kept asking for self-serve reviews, too. You asked — we delivered!
AI Agent for Reviews: paste a Google Play url and we spin up an AI Agent that you can chat with immediately.
Ask anything: “What are recent bugs?” “Why are customers asking for refunds?” “Why do people love Target so much?” (we don’t judge).
Limited time: we’ll also scan your support data (chats, calls, emails, surveys) free of charge as a trial. No credit card. No paywall.
What’s next 🔜
Google Play is the first supported self-serve data source, available today. Coming soon: Trustpilot, Amazon, App Store, and others.
Try it! ⚡
Chat with an app we have pre-scanned, or hit “Scan Your Reviews” on our website and tell us what surprised you. If you’ve got a dataset full of surveys, support conversations, or reviews, send it over - we’ll process a free trial and help you find the fastest wins.
I’ll be here all day answering questions, swapping war stories, and, yes, debugging launch‑day gremlins in real time. 🛠️ Thanks for checking out Spiral and for being the best corner of the internet for builders. ❤️
Prompts to try today:
“Where are customers getting stuck in onboarding?”
“What changed after the latest release?”
“What do customers love most? Give me quotes!”
“What would lift our rating the fastest this month?”
Wow! Very cool to see a public tool launched by this team. Wishing you all the best, and excited to see what comes next!
I had the privilege of working for Spiral for a bit and the tech is legit! No secrets spilled but it's definitely more than a thin wrapper around an LLM. Clever people, cool product, highly recommend :)
Cheers to your launch! I've tested the demo on your website and was impressed by how clear and to the point the analysis is. I am now really excited to follow the next stages of your project!
Wow, Elena! Spiral sounds like a lifesaver for teams dealing with mountains of customer feedback. Turning reviews into actionable insights with AI is such a game-changer. Excited to see it expand beyond Google Play! Congrats on launching something that clearly meets a huge need! 🚀🌀
I love the focus on turning messy data into clean insights 🔥My question is about the next step: turning insights into action. How does Spiral's interface help a product leader bridge that gap? For example, can you easily create a Jira ticket, a product spec, or a PRD directly from a key insight? Closing that workflow loop would be a game-changer 🤔 Congrats on the launch!
looks powerful , just to clarify - is this mainly a solution for business decision-making from customer data, or does it also include support automation with AI agents?
Congrats on the launch, team @Spiral! Spiral looks super useful - excited to see where you take it 🚀
We’re also launching today, so it’s great to share the stage with other exciting products 🙏
Best of luck!
Congrats on the launch! Really like this approach — turning raw customer feedback into clear, actionable insights is such a big win for product teams.
About Spiral on Product Hunt
“Analyze your reviews & support data with AI”
Spiral launched on Product Hunt on September 4th, 2025 and earned 164 upvotes and 52 comments, placing #6 on the daily leaderboard. Ask our AI Agent anything across your customer reviews, support chats, calls, and surveys; get root causes by version, device, and plan - with proactive alerts before issues get expensive.
Spiral was featured in Customer Success (6.1k followers), Artificial Intelligence (466.4k followers) and Data & Analytics (5.6k followers) on Product Hunt. Together, these topics include over 92k products, making this a competitive space to launch in.
Who hunted Spiral?
Spiral was hunted by Ben Lang. 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 Spiral stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
👋 Hey Product Hunt fam!
I’m Elena, co-founder & ceo of Spiral and a PH regular since 2018. Fun fact: we launched TogethAR 🚀 back in the day - a Clubhouse‑in‑AR experience … probably before the market was ready for it 😅.
Why Spiral? 💡
I was an SDE on Amazon Fire TV and kept seeing thousands of support contacts fly by. It made me wonder about one question: what’s one complaint I can address today that will benefit the most customers? We built Spiral to know exactly that.
What Spiral does 🌀
Our AI dives into millions of reviews and support contacts, e.g., live chats, phone calls, emails, NPS/CSAT, then auto-digests everything into specific issues, makes them searchable using our AI Agent, and surfaces root causes by metadata like version, device, plan, country, and more. Ask broad or specific questions and get evidence‑backed answers (with quotes). Fewer tickets, faster fixes, higher ratings. 🙌
What’s new today 🚀
We are launching a self-serve AI Agent for public review sources! Our customers have used Spiral to scan support conversations for years and kept asking for self-serve reviews, too. You asked — we delivered!
AI Agent for Reviews: paste a Google Play url and we spin up an AI Agent that you can chat with immediately.
Ask anything: “What are recent bugs?” “Why are customers asking for refunds?” “Why do people love Target so much?” (we don’t judge).
Limited time: we’ll also scan your support data (chats, calls, emails, surveys) free of charge as a trial. No credit card. No paywall.
What’s next 🔜
Google Play is the first supported self-serve data source, available today. Coming soon: Trustpilot, Amazon, App Store, and others.
Try it! ⚡
Chat with an app we have pre-scanned, or hit “Scan Your Reviews” on our website and tell us what surprised you. If you’ve got a dataset full of surveys, support conversations, or reviews, send it over - we’ll process a free trial and help you find the fastest wins.
I’ll be here all day answering questions, swapping war stories, and, yes, debugging launch‑day gremlins in real time. 🛠️ Thanks for checking out Spiral and for being the best corner of the internet for builders. ❤️
Prompts to try today:
“Where are customers getting stuck in onboarding?”
“What changed after the latest release?”
“What do customers love most? Give me quotes!”
“What would lift our rating the fastest this month?”
Email us at [email protected] or let’s chat!
— Elena, Aaron, Seth, Jason, Chad, Wilson, and the Spiral team 🌀