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Tandem
AI-native office leasing brokerage
Tandem is building an AI-native office leasing brokerage. Every Tandem agent works with an agentic brain behind them. It's watching the market constantly: what came available this morning, what a similar unit actually leased for last month, which landlords are flexible on term, what's about to come back online. Knowing the market stops being one person's job, so it doesn't stop when they go home, and it isn't limited to the buildings they've personally walked.
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About Tandem on Product Hunt
“AI-native office leasing brokerage”
Tandem launched on Product Hunt on August 1st, 2026 and earned 90 upvotes and 3 comments, placing #12 on the daily leaderboard. Tandem is building an AI-native office leasing brokerage. Every Tandem agent works with an agentic brain behind them. It's watching the market constantly: what came available this morning, what a similar unit actually leased for last month, which landlords are flexible on term, what's about to come back online. Knowing the market stops being one person's job, so it doesn't stop when they go home, and it isn't limited to the buildings they've personally walked.
On the analytics side, Tandem competes within Tech — topics that collectively have 629.3k followers on Product Hunt. The dashboard above tracks how Tandem performed against the three products that launched closest to it on the same day.
Who hunted Tandem?
Tandem was hunted by Brendan Suh. 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.
For a complete overview of Tandem including community comment highlights and product details, visit the product overview.
Artem's incentive point is the whole thing and I would push harder on it. AI does not fix that conflict. It hides it. A human broker's conflict is at least legible. You know who pays them and you discount what they say accordingly. An agent that has seen every building in the city arrives sounding objective, and the recommendation lands with no visible interest attached to it. Same incentive, tell removed. Which makes this a structure question rather than a model question. Are you paid by the landlord as a percentage of rent, like everyone else? If so, what stops the agent from being extremely good at finding me a building I can slightly overpay for? The version of this I would trust puts the fee on every single recommendation.