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Grindr Posts 33% Revenue Jump as AI Strategy Drives Engineering Gains and New Premium Tier

Grindr reported second-quarter revenue of $138 million, up 33% year over year, and raised its 2026 guidance as CEO George Arison said the company's AI investment is delivering measurable gains in engineering output and subscription growth.

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Sara Montes de Oca
AUG 6, 2026 · 05:01 PM ET · 3 MIN READ
Photo by Max Medyk on Pexels

Grindr reported second-quarter revenue of $138 million on Thursday, a 33% increase from a year earlier, as the LGBTQ-focused dating platform credited an aggressive artificial intelligence deployment for accelerating software development and opening a new premium subscription business.

The company also raised its full-year 2026 guidance, now projecting revenue of approximately $540 million, up from a prior forecast of $535 million, and adjusted EBITDA of approximately $232 million, up from $227 million.

CEO George Arison said the results reflect early returns on a strategy built around embedding AI throughout the company's operations — not only in consumer-facing products but also in how engineers write and ship code.

"Our strategy has always been to use AI everywhere we can," Arison said in an exclusive interview with CNBC.

The company estimates that total engineering output increased roughly 2.5 times between July 2025 and April 2026, despite maintaining roughly the same-sized engineering team. Grindr's earnings presentation noted that producing equivalent output before the advent of generative AI tools "would have required roughly 200 additional engineers and approximately $60 million in annual cost."

Arison said the company relies on coding assistants and development tools from Cursor, Anthropic's Claude, and Devin to achieve those gains. He added that Grindr has not eliminated jobs as a result of AI adoption.

The company expects to spend roughly $6 million on large language model tokens this year. Arison said the productivity return justifies the outlay by a wide margin.

"I have zero qualms about that because the amount of productivity increase that I'm getting from that is orders of magnitude more, like 10-times more than the money that I'm spending on tokens," Arison said. "So it's a total no-brainer."

Beyond engineering efficiency, Grindr is testing whether consumers will pay a substantial premium for an AI-powered companion product called "Edge." The company is piloting pricing in select markets, including New York, where access costs as much as $350 per month.

Management initially expected "Edge" to attract upgrades primarily from its highest-paying "Unlimited" subscribers. Early data has challenged that assumption.

"The data so far does not support that," Arison said. "There are people who are not 'Unlimited' subscribers who were also moving to 'Edge', including people who don't subscribe at all."

Grindr did not disclose the number of users who have subscribed to "Edge" or where final pricing will settle. Arison said the company is "happy with the test results so far."

Paying user count reached 1.4 million in the second quarter, up 16% from the prior year. Average revenue per paying user rose 12% year over year to $25.51. Arison said subscriber churn has come in below expectations despite price increases across Grindr's premium tiers, a trend he said contributed to organic growth in the first half of the year.

Morgan Stanley upgraded Grindr's stock to overweight from equal weight in July, raising its price target from $15 to $18, citing the company's "ultra-premium" subscription tier as a key driver of the revised outlook.

The results arrive as investors across the software sector press companies for concrete financial evidence that generative AI spending translates into measurable business performance. Grindr's combination of higher engineering throughput, a rising subscriber base, and the early traction of a high-priced AI tier positions it as a closely watched test case for that broader question — one the industry is unlikely to stop asking anytime soon.

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━ ABOUT THE REPORTER
Sara Montes de Oca

Sara Montes de Oca is the Editor in Chief of TechEchelon. Previously a correspondent and producer in Washington, D.C., covering business, finance, and politics.

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