Spiral

Spiral

Analyze your reviews & support data with AI

5.0
2 reviews

272 followers

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.
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What do you think? …

Elena Zhizhimontova

👋 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 founders@spiralup.co or let’s chat!

— Elena, Aaron, Seth, Jason, Chad, Wilson, and the Spiral team 🌀

Tony Tong

@zelena Congrats Elena, love the “one complaint that helps the most customers” framing. How do you see Spiral fitting into existing CX stacks — more as a daily triage tool for product teams, or as a strategic insights layer for leadership?

Elena Zhizhimontova

@tonyabracadabra Thank you, Tony! Today, our customers use Spiral for both of those use-cases - so both! I noticed that they ask our AI Agent big strategic questions by looking at the data monthly/quarterly, and they also ask it product questions daily to look into specific product and support issues.

Seth Johnson

@zelena  @tonyabracadabra Tony, I'd add that Spiral can be used in the support operations layer – for ticket deflection analysis (to guide knowledge base or bot improvements), and even to provide coaching points for QA teams to use to improve performance.

Kyle Morris

@zelena Congrats on the launch, Elena! Really like how you framed the idea around ‘the one complaint that helps the most customers’ — super clear and powerful. I’ve seen the same in my own work: sometimes solving just one recurring pain point makes the most significant difference, whether that’s in customer support or even in everyday things like travel planning. Excited to see how Spiral grows!

Seth Johnson

@zelena  @stellarcarto47 Kyle - good point. It's especially true for most businesses where just a handful of intent types drive the majority of support inquiries. Staying on top of the most prevalent ones are important to contain volume, but for businesses with a "long tail" of issues, without an AI listening tool its hard to hunt down the problems that drive only, say, 1% of inquiries but might be highly churn inducing

Elena Zhizhimontova

@stellarcarto47 Thank you so much, Kyle! Yes, exactly! We call this "fixing issues in batches," and we tend to start with the biggest batch to unlock the most customers at the same time. Let me know what you think when you scan your reviews with Spiral!

Noemi Blázquez

@zelena Mindblowing. The idea of chatting with an AI agent to uncover bugs, friction points or top highlights from user reviews is just brilliant. Congrats team, can’t wait to try it out!

Elena Zhizhimontova

@ap0ka Thank you, Noemi! Yes, I've always wanted the ability to just scan reviews and see what those are about. Let me know what you think when you scan some reviews with Spiral!

Noemi Blázquez

@zelena Sounds great, Elena! I’ll definitely give it a try!!!

Christy Chen

Congrats on the launch! Really like this approach — turning raw customer feedback into clear, actionable insights is such a big win for product teams.

Elena Zhizhimontova

@christyfea Thank you, Christy!

Seth Johnson

@christyfea we're stoked to keep developing our platform for Product use cases. We're open to any ideas you may have; or feel free to share any typical challenges you face that you'd like for tooling to solve. I'd be interested in hearing more.

Suryansh7

real gold congrats team :)

Elena Zhizhimontova

@suryansh_7 Thank you so much! We are super excited for the launch! :)

Suryansh7

@zelena yeah lets goo lets win the day

Vimalraj Vasu

Big congrats on the launch! 🚀 Wishing you all the success ahead.

Seth Johnson

@vimalraj_vasu thanks! You as well

Elena Zhizhimontova

@vimalraj_vasu Thank you, Vimalraj!

Shiva Pundir

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!

Seth Johnson

@shivapundir Best of luck to you all, as well!

Elena Zhizhimontova
@shivapundir congrats!!
Talshyn Nova

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!

Seth Johnson

@talshyn great point and yes your instincts are correct, you can ask our agent to assemble a PRD directly from a key insight and then convert it into a doc that you can modify or send off as is. Feel free to make an account on Spiral and ask it to make one!

Automatic Jira ticket creation is coming soon!

Elena Zhizhimontova
@talshyn yes! We frequently see customers asking for a PRD or an action plan when they discover an insight using Spiral 👍
Alex Cloudstar

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! 🚀🌀

Elena Zhizhimontova

@alex_cloudstar Thank you so much, Alex! Yes, we've been hearing it from most customers - they always wanted the ability to quickly turn reviews into answers. Let me know what you think when you scan your app with Spiral!

Seth Johnson

@alex_cloudstar Thanks for the support Alex! We actually do currently scan support (live chats, phone, emails etc) and reviews for our enterprise customers, we're just making the Google Play channel available via self serve today. Feel free to pop over to spiralup.co and sign up for a free account and even send us a public data source for free analysis.

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