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Mamoon Hamid
Mamoon Hamid@mamoonha·
Been playing with @Rippling AI this week. Typed in: "I'm trying to plan an offsite for the team sometime in 2026. Suggest windows of times when the least amount of vacations are taken (based on historic data) and are spaced outside of national holidays and school holidays in the Bay Area." Got a bunch of windows, instantly, from live data. Software in the AI era is great!
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BetMGM 🦁@BetMGM·
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Gregor
Gregor@bygregorr·
@mamoonha @Rippling The real flex isn't the prompt, it's that "historic data" actually existed and was clean enough to use. Most teams asking this question have vacation data scattered across three tools and a spreadsheet nobody updates. What did the output actually look like?
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Twlvone
Twlvone@twlvone·
@mamoonha @Rippling The offsite query perfectly shows what AI-native software means — not a chatbot wrapper, but natural language over live operational data with context awareness across multiple calendars. That used to take a data analyst an hour. Now it's a sentence.
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Bryan Dickey 📲
Bryan Dickey 📲@BryanDickey_·
@mamoonha @parkerconrad @Rippling Need it to do more. Location recommendations based on attendees, group hotel bookings, suggested flights, etc. All of the data is there to power the reasoning
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Yash P
Yash P@YashPnke·
@mamoonha @Rippling That's killer. Essentially a custom LLM fine-tuned on your own company's HR data... the possibilities are endless.
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seen
seen@0xSeeN_64·
@mamoonha @Rippling Rippling AI's differentiator is that it queries Rippling's permissioned data layer (object graph) to retrieve results, allowing it to provide data-backed insights into your company. Without the data layer, the system wouldn't be able to answer using historical data
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FanDuel Sportsbook@FDSportsbook·
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