Cheers recently launched!

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^{"Engineer the experiences AI recommends."}

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^{TL;DR Sales has Salesforce. Engineering has Jira. Frontline staff had nothing, until now. Cheers is the platform that ties frontline performance data (reviews, feedback, loyalty sign-ups, tip generation) directly to the individual employees responsible. They unlock the intelligence businesses need to optimize performance and actively shape the online narratives that AI models use for recommendations.}

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Ask

Know a consumer-facing business with frontline employees? Introduce the founders via email here. 10% referral bonus for closed deals!

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Video

https://youtu.be/SFMDGzQVTKk?si=vJFSexqjeSxnFTW7

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Founded by Dylan Allen-Arnegård & Amadeus Peterson‍

Hey everyone! Meet Dylan and Amadeus, the founders of Cheers.

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The Team

The Cheers founders have been friends for more than 5 years, and moved from Utah to San Francisco to make Cheers into a decacorn.

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Dylan Allen (CEO) is a technical founder who's worked in experience/reputation management across Podium (YC W16), Weave (YC W14), and Microsoft Azure before starting Cheers.

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Amadeus Peterson (CTO) was a software engineer at Northrop Grumman working on the Sentinel Missile system before Dylan convinced him to quit and move to SF.

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The Problem

If your team meets customers face-to-face (think home services, retail, hospitality), your frontline employees are your brand. Every interaction shapes your reputation and can ultimately make or break your business.

Yet, despite how critical these touchpoints are, they remain a black box. Most managers lack the visibility to answer fundamental questions: Who is creating the most positive customer experiences? Which employees are struggling and need support? What behaviors consistently drive success?

Without these insights, businesses are left guessing about the very moments that matter most.

Managers can’t see that Sarah generates twice as many loyalty signups while Mike drives a disproportionate share of customer complaints. As a result, top performers like Sarah feel unseen and leave, while low performers like Mike continue under the radar, damaging the brand. Everyone ends up with the same training, the same recognition, and the same pay – all because there’s no real data.

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Every frontline business needs three questions answered:

1. What are customers actually experiencing?
2. Who is creating those experiences?
3. How do we scale what works?

Legacy tools don’t provide this. They stop at broad averages like “Our Phoenix location has 3.8 stars.” But averages hide the truth.

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The Stakes are Higher Than Ever (The AI Shift)

As consumers increasingly turn to AI for recommendations, your online reputation will matter more than ever. From Google reviews to Reddit rants to BBB complaints, AI is being trained on what people say about your business across countless channels. It’s no longer enough to simply rack up a count of five-star reviews on Google. The substance of those reviews, the real stories customers share, will increasingly shape how AI perceives and recommends your brand.

But you can’t optimize what you can’t measure. Cheers allows businesses to move beyond passively collecting stars and actively shape this narrative at the source. By attributing online signals, operators can finally identify and incentivize the exact behaviors that drive specific keywords (“fast service!” “expert advice!”). This helps ensure AI recommends your brand for exactly what you want to be known for.

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The Solution

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Cheers ties online signals directly to the employees and locations behind them. When a customer raves about great service, managers see it was Sarah. When complaints spike, they know it’s Mike. Instead of guessing, managers finally have clear, actionable data on who to coach, who to recognize and promote, and which behaviors consistently create five-star experiences. This is how you engineer your brand narrative at the source.

Vivint Smart Home proved it works. Vivint used Cheers to identify top performers and scale their behaviors - generating 60,000+ new 5-star reviews in 5 months across 400 locations. This resulted in a massive uptick in local search rankings and AI recommendations. 🤯

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Learn More

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^{🌐 Visit www.cheers.tech to learn more.}

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^{🤝 Know anyone who owns or works at a business with frontline employees? PE rollups of home services, multi-location retail chains, hospitality groups? Email the founders here with an intro → They'll give you 10% of the annual contract value of any closed deal.}

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^{👣 Follow Cheers on LinkedIn  & X.}

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