The future of AI analytics is open source.
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Preset is proud to be a Bronze sponsor of dbt Summit 2026! We'll be showing how teams build AI-native, open analytics powered by Apache Superset™ directly on their dbt models. Booth 337 👋
More at hubs.li/Q04wYRdr0
#dbtSummit #preset #aianalytics
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Thank you to @dbt_labs and everyone who organized, staffed, and kept the Discovery Hall running for #dbtsummit 2026. And thanks to everyone who stopped by booth 337 to tell us Preset is the best open analytics platform out there. We couldn't agree more 🎸
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Want to see @apachesuperset™ running on your own dbt project? Talk with our team or try it for free: preset.io/
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Day 2 of #dbtSummit and the Preset team got the lego treatment on the Discovery Hall floor. 🧱
Come see @apachesuperset™ running live on @dbt_labs, then play Plinko for a chance to win a Fender Stratocaster, Moog Theremini, or Nintendo Switch 2.
#preset #apachesuperset
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Day 1 of #dbtSummit is live and the Preset crew is at booth 337!
Come play a round of Preset Plinko for a shot at a Fender Stratocaster, a Moog Theremini, or a Nintendo Switch 2, then stick around for a live demo of @apachesuperset™ running on @dbt_labs.
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Preset is a Bronze sponsor of dbt Summit 2026. Stop by booth 337 and meet our team! We’ll be talking shop on all things @apachesuperset™ + @dbt_labs while running live demos of Preset. Learn more and register: hubs.li/Q04xzDW20
#dbtSummit #preset #aianalytics
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The Preset team lands in Las Vegas this week for dbt Summit 2026! If you're attending, make sure to stop by booth 337.
We'll have demos going all week, plus some fun raffle prizes. ✨
September 15-18, @dbt_labs: hubs.li/Q04xshpt0
#dbtSummit #aianalytics #preset
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If you're going to #dbtSummit next week, put booth 337 on your list!
Live demos ✅
Chats about the future of AI analytics ✅
Meet the people who build and run Preset ✅
September 15-18: hubs.li/Q04xb_ct0
#dbtSummit #preset #aianalytics
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Preset retweeted
Thank you, #AirflowSummit 2026! Hosting Agor here was a fitting stop: @mistercrunch is the original creator of @ApacheAirflow and @apachesuperset, and Agor brings that same orchestration to AI coding agents.
See what we’re building at na2.hubs.ly/H07FjMF0
#agor #builtbyPreset
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Ask AI about your data" only works if your tools agree on what the data means. Ask 3 tools what "revenue" means, get three answers. Define the metric once in a semantic layer and that stops. Replay the talk: hubs.li/Q04vqbSV0
#preset #aianalytics #semanticlayer
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Preset Chatbot works for the whole team. Business users ask questions (no code) and get a chart, or dashboard, built for them. Analysts get the repetitive requests off their plate. Everything runs on the semantic layer your data team owns.
Get started: hubs.li/Q04tN0nZ0
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Accuracy makes for a great demo. Production analytics needs more: permissions that travel with users, hard execution limits, clear errors, reversibility, context that survives delivery, embedded reliability, open architecture.
hubs.li/Q04ttd-50
#aianalytics #preset #mcp
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Preset scheduled reports now keep the active tab and the filter values you set. Recipients see the exact view you configured. One dashboard can serve many audiences, no clones or manual exports needed.
hubs.li/Q04sJ7Nb0
#dataanalytics #aianalytics
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Superset's dataset editor was always a semantic layer. SIP-182 makes it the first of many: dbt MetricFlow and Snowflake Semantic Views are already live on Preset.
hubs.li/Q04sbTYb0
#apachesuperset #semanticlayer #opensource
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Defining metrics once in a semantic layer makes it so that every data consumer (dashboards, SQL, [insert your favorite LLM here]) works from the same trusted definitions.
Replay our latest live session for more: hubs.li/Q04rR-hR0
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This morning @ 9am pacific: semantic layers in @apachesuperset™
Pull up a chair! hubs.li/Q04r1Kbv0
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Tomorrow at 9 am: see Semantic Layer Extensions in action, what's new in @apachesuperset™, and live Q&A.
Can't make it?? Register and we'll send you the replay: hubs.li/Q04r1Gzs0
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"Ask AI about your data" only works if the AI and your team agree on what the data means.
Join our live convo about Semantic Layer Extensions in @apachesuperset™ on July 29 at 9 AM PT: hubs.li/Q04q3kgs0
#semanticlayer #apachesuperset #conversationalanalytics #ai
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Most AI analytics is disposable: ask, answer, then poof…your work is gone.
Preset's MCP lets an agent save its work as governed, reusable datasets, so your team and other agents can keep building.
hubs.li/Q04pFNfz0
#mcp #ai #preset
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Your AI is only as reliable as the semantic layer behind it.
Join us for a live talk on July 29 at 9 AM PT discussing Semantic Layer Extensions in @apachesuperset™. Define metrics once, get consistent output across dashboards, SQL, and AI.
Register: hubs.li/Q04pvhQW0
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