# Customer Stories Published articles for Customer Stories. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Share your .NET story with the community DevFeed: [Share your .NET story with the community]() Original publisher: [Read original article]() Author: Luis Quintanilla Published: 2026-09-14T17:05:00Z Content type: article Language: en Sources: [.NET Blog]() Topics: [.NET](), [.NET Conf](), [Development]() Tags: [2026](), [blog](), [community](), [conference](), [customer-stories](), [developer-stories](), [developers](), [development](), [modernization](), [net](), [net-conf](), [performance](), [post](), [virtual-event]() ### AI overview Microsoft invites teams to share how they use .NET to solve practical problems for possible inclusion in .NET Conf 2026 and other .NET channels. Submissions may describe applications, system modernization, performance, security, efficiency, modern C#, or practical AI-powered capabilities. ### Source excerpt Share how your team uses .NET to solve real problems and help us bring more community stories to .NET Conf 2026 and other .NET channels. The post Share your .NET story with the community appeared first on .NET Blog. ## Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video DevFeed: [Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video]() Original publisher: [Read original article]() Author: Sasa Docca Published: 2026-09-10T16:30:35Z Content type: news Language: en Sources: [NVIDIA Blog]() Topics: [foundation-models](), [Cosmos](), [Simulation and Design](), [synthetic-data]() Tags: [ai](), [artificial-intelligence](), [cosmos](), [customer-stories](), [industrial-and-manufacturing](), [isaac](), [model](), [nvidia](), [nvidia-blackwell](), [omniverse](), [physical-ai](), [robotics](), [robots](), [simulation-and-design](), [synthetic-data-generation](), [tensorrt](), [video]() ### AI overview Skild AI's S1 robot foundation model learns new long-horizon physical tasks from a single video demonstration through in-context learning, without task-specific retraining. The article describes its development on NVIDIA AI infrastructure and use of NVIDIA Isaac Lab and Cosmos technologies. ### Source excerpt Manufacturing floors, warehouses and production lines rarely stay fixed -- tasks change, layouts shift and new products arrive, and most robots can't keep up without significant reprogramming. Skild AI's new S1 robot foundation model helps address this, designed to learn previously unseen, long-horizon tasks from a single video demonstration. The model, launched last week, uses [...] ## Physical AI Takes the Wheel: How the World's Robotaxi Leaders Are Building With NVIDIA Technologies DevFeed: [Physical AI Takes the Wheel: How the World's Robotaxi Leaders Are Building With NVIDIA Technologies]() Original publisher: [Read original article]() Author: Ali Kani Published: 2026-09-10T16:00:04Z Content type: article Language: en Sources: [NVIDIA Blog]() Topics: [Training AI Models](), [SDKs]() Tags: [ai-models](), [ai-training](), [artificial-intelligence](), [autonomous-vehicles](), [cosmos](), [customer-stories](), [datasets](), [driving](), [mobility](), [nvidia](), [nvidia-blackwell](), [nvidia-dgx](), [nvidia-drive](), [nvidia-halos](), [omniverse](), [physical-ai](), [simulation-and-design]() ### AI overview NVIDIA describes an open robotaxi platform for training AI driving models, simulation and safety validation, and real-time in-vehicle computing. ### Source excerpt The global robotaxi market -- physical AI's first commercial breakthrough -- is projected to reach $400 billion by 2035, with over 6 million commercial vehicles in operation as driverless fleets are already moving people through some of the world's busiest and most complex streets. Deploying a driverless vehicle is one challenge. Scaling a fleet is [...] ## How Lorari scaled to 130+ fitness studios solo with Appwrite DevFeed: [How Lorari scaled to 130+ fitness studios solo with Appwrite]() Original publisher: [Read original article]() Author: Aditya Oberai Published: 2026-09-09T00:00:00Z Content type: article Language: en Sources: [Appwrite Blog]() Topics: [Appwrite](), [Cloud](), [Development](), [web applications]() Tags: [analytics](), [backend](), [cloud](), [customer-stories](), [fitness](), [instagram](), [payments](), [software-development](), [stripe](), [web-app]() ### AI overview A customer story about solo founder Marti Mestre Faus building Lorari on Appwrite Cloud. The platform helps yoga, pilates, and fitness studios manage classes, memberships, payments, events, waitlists, and student bookings; more than 130 studios serving 13,000 students were onboarded in seven months. ### Source excerpt Learn how solo founder Marti Mestre Faus built Lorari on Appwrite Cloud and onboarded 130+ yoga and pilates studios serving 13,000 students in seven months. ## How Guideless uses Tinybird for real-time product analytics and training insights DevFeed: [How Guideless uses Tinybird for real-time product analytics and training insights]() Original publisher: [Read original article]() Author: Tinybird Published: 2026-08-20T16:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [product analytics](), [real-time](), [Back end]() Tags: [analytics](), [backend](), [customer-stories](), [effective](), [insights](), [product-analytics](), [real-time]() ### AI overview The article describes how Guideless used Tinybird to launch real-time product analytics without building a separate analytics backend. It says the approach saved weeks of engineering work and produced engagement insights for improving training effectiveness. ### Source excerpt Learn how Guideless used Tinybird to launch real-time product analytics without building a separate analytics backend, save weeks of engineering work, and turn engagement data into insights that help users create more effective training. ## How Slate replaced a Redis bottleneck with Tinybird for real-time prices and P&L DevFeed: [How Slate replaced a Redis bottleneck with Tinybird for real-time prices and P&L]() Original publisher: [Read original article]() Author: Tinybird Published: 2026-08-05T13:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [Redis](), [real-time]() Tags: [customer-stories](), [infrastructure](), [real-time](), [redis]() ### AI overview This case study describes how Slate replaced a Redis bottleneck with Tinybird to provide real-time prices and P&L for thousands of investors. ### Source excerpt How Slate replaced a Redis bottleneck with Tinybird to unlock real-time prices and P&L for thousands of investors, and stopped saying no to growth. ## Introducing the ChatGPT for small business program DevFeed: [Introducing the ChatGPT for small business program]() Original publisher: [Read original article]() Published: 2026-07-21T17:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [Artificial Intelligence](), [OpenAI](), [OpenAI Academy](), [Prompt Engineering](), [Shopify](), [Slack]() Tags: [accounting](), [agents](), [ai](), [ai-adoption](), [business](), [chatgpt](), [content](), [customer-stories](), [ecommerce](), [events](), [guides](), [openai](), [openai-academy](), [partner](), [partners](), [product](), [resources](), [shopify](), [skills](), [small-business](), [work]() ### AI overview OpenAI launches the ChatGPT for small businesses program, offering training, AI academies, practical guides, workflows, and partner resources to help small businesses become more productive and scale. ### Source excerpt OpenAI launches the ChatGPT for Small Businesses program, helping entrepreneurs build AI skills, automate work, and grow with ChatGPT Work. ## How Zernio scaled to 6M daily posts on a 7-person team with Tinybird DevFeed: [How Zernio scaled to 6M daily posts on a 7-person team with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2026-06-25T12:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [data](), [API](), [MongoDB](), [Latency]() Tags: [api](), [customer-stories](), [data](), [latency](), [mongodb](), [time]() ### AI overview A case study describes how Zernio moved its analytics from MongoDB to Tinybird, reduced the time required to ship new data features from weeks to hours, and handles 700,000 daily API requests with p95 latency of 250 milliseconds. ### Source excerpt Learn how Zernio moved analytics from MongoDB to Tinybird, cut time to ship new data features from weeks to hours, and now handles 700,000 daily API requests with p95 latency of 250ms. ## Maple: an open-source observability platform built with Tinybird's TypeScript SDK DevFeed: [Maple: an open-source observability platform built with Tinybird's TypeScript SDK]() Original publisher: [Read original article]() Author: Tinybird Published: 2026-03-24T11:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [observability](), [Open Source](), [SDK](), [TypeScript](), [Development]() Tags: [customer-stories](), [development](), [logs](), [metrics](), [observability](), [open-source](), [sdk](), [traces](), [typescript]() ### AI overview David Granzin built Maple, an open-source observability platform for metrics, logs, and traces, using Tinybird's TypeScript SDK. The source also states that the project required no infrastructure to manage and that AI agents accelerated development. ### Source excerpt David Granzin built Maple, an open-source observability platform for metrics, logs, and traces, using Tinybird's TypeScript SDK. Zero infrastructure to manage, AI agents accelerating development, and two projects shipped simultaneously. ## How Order Editing Replaced a Failing DynamoDB Pipeline with Tinybird DevFeed: [How Order Editing Replaced a Failing DynamoDB Pipeline with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2026-02-24T11:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [Shopify](), [DynamoDB]() Tags: [customer-stories](), [debugging](), [dynamodb](), [infrastructure](), [pipeline](), [shopify](), [team]() ### AI overview A three-person team handling $5B in Shopify GMV replaced a failing DynamoDB pipeline with Tinybird, reducing the need to debug reconciliation failures and allowing the team to focus on shipping features. ### Source excerpt A three-person team running $5B in Shopify GMV couldn't afford to babysit analytics infrastructure. Here's how they stopped debugging reconciliation failures and started shipping features. ## The Linux Foundation tracks 700M+ open source events in real-time with Tinybird DevFeed: [The Linux Foundation tracks 700M+ open source events in real-time with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2026-02-16T10:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [linux foundation](), [data](), [real-time](), [Open Source]() Tags: [customer-stories](), [data](), [linux-foundation](), [open-source](), [real-time]() ### AI overview The Linux Foundation uses Tinybird to power real-time open source project analytics for LFX Insights. The article says this replaces a 12-hour Snowflake feedback loop with sub-second data freshness. ### Source excerpt Learn how the Linux Foundation powers real-time open source project analytics for LFX Insights, replacing a 12-hour Snowflake feedback loop with sub-second data freshness. ## How Fever Made Real-Time Partner Reporting Reliable Under Load with Tinybird DevFeed: [How Fever Made Real-Time Partner Reporting Reliable Under Load with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2026-02-02T15:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [real-time]() Tags: [customer-stories](), [load](), [partner](), [real-time](), [reporting]() ### AI overview A case study describes how Fever replaced a fragile real-time ingestion pipeline with Tinybird to make partner reporting reliable under load. ### Source excerpt Learn how one of the world's largest live entertainment platforms replaced a fragile real-time ingestion pipeline with Tinybird, eliminating the inverse scaling problem where better business meant worse reporting. ## Scrunch ships AI search analytics from decision to production in 48 hours with Tinybird DevFeed: [Scrunch ships AI search analytics from decision to production in 48 hours with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2025-10-24T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [AI search](), [Optimization](), [real-time]() Tags: [agent](), [ai](), [ai-search](), [analytics](), [cost](), [customer-stories](), [optimization](), [production](), [real-time](), [search](), [startup]() ### AI overview A case study of Scrunch, an AI search optimization startup, describes how it built real-time Agent Traffic features with Tinybird in 48 hours while achieving cost predictability. ### Source excerpt Learn how the AI search optimization startup built real-time Agent Traffic features in just 48 hours, achieving 100% cost predictability while tripling in size. ## Humblytics cuts infrastructure costs 10x by migrating from Timescale to Tinybird DevFeed: [Humblytics cuts infrastructure costs 10x by migrating from Timescale to Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2025-10-23T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [Database]() Tags: [analytics](), [customer-stories](), [database](), [startup](), [switching]() ### AI overview A case study of Humblytics, a bootstrapped analytics startup, migrating from TimescaleDB to Tinybird. The supplied evidence says the migration eliminated monthly database sprints, made queries 10 times faster, and reduced costs by 10 times. ### Source excerpt Learn how a bootstrapped analytics startup eliminated monthly database sprints, achieved 10x faster queries, and reduced costs by 10x by switching from TimescaleDB to Tinybird. ## How Sync bills for real-time AI model usage with Tinybird DevFeed: [How Sync bills for real-time AI model usage with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2025-08-18T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [dashboards](), [Artificial Intelligence](), [real-time]() Tags: [ai](), [analytics](), [customer](), [customer-stories](), [dashboards](), [pricing](), [production](), [real-time](), [startup](), [sync]() ### AI overview This article describes how Sync, an AI video lip-sync startup, built customer-facing usage dashboards and internal analytics with Tinybird to transition to usage-based pricing, moving from proof of concept to production in less than a week. ### Source excerpt Learn how this growing AI video lip-sync startup built customer-facing usage dashboards and internal analytics to power their transition to usage-based pricing, going from proof of concept to production in less than a week. ## DataFast migrated from MongoDB to Tinybird for faster, lower-cost web analytics DevFeed: [DataFast migrated from MongoDB to Tinybird for faster, lower-cost web analytics]() Original publisher: [Read original article]() Author: Tinybird Published: 2025-07-30T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [Software as a service](), [MongoDB](), [clickhouse]() Tags: [analytics](), [clickhouse](), [cost](), [customer-stories](), [mongodb](), [operational](), [performance](), [saas]() ### AI overview Marc Lou migrated the DataFast web analytics SaaS from MongoDB to Tinybird. The supplied source says the migration produced queries that were more than 150 times faster and reduced costs by 75%, without the operational complexity typically associated with ClickHouse. ### Source excerpt Build-in-public guru Marc Lou migrated his web analytics SaaS, DataFast, from MongoDB to Tinybird, getting 150x+ faster queries and 75% lower cost without any of the operational complexity typically associated with ClickHouse. ## Framer upgrades user-facing analytics to real-time with Tinybird DevFeed: [Framer upgrades user-facing analytics to real-time with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2025-07-01T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [real-time](), [No-code](), [A/B Testing](), [Website]() Tags: [a-b-testing](), [analytics](), [customer-stories](), [infrastructure](), [no-code](), [real-time]() ### AI overview This article explains how Framer upgraded its user-facing analytics from basic metrics to real-time analytics with Tinybird, adding features such as A/B testing and funnels and enabling new revenue streams. ### Source excerpt Learn how the popular no-code website builder transformed their analytics offering from basic metrics to advanced features like A/B testing and funnels, enabling new revenue streams with Tinybird's real-time analytics infrastructure. ## Phantom gives crypto traders faster buy/sell decisions with Tinybird DevFeed: [Phantom gives crypto traders faster buy/sell decisions with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2025-05-08T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [Solana](), [Latency](), [Query (disambiguation)]() Tags: [crypto](), [customer-stories](), [latency](), [solana]() ### AI overview The article describes how Phantom, a Solana wallet, processes more than 2.5 billion daily events for over 15 million users while maintaining query latency below 50 milliseconds. ### Source excerpt Learn how the most popular Solana wallet processes 2.5B+ daily events for 15M+ users while maintaining sub-50ms query latency. ## How Raindrop Scales AI Observability with Tinybird's Real-Time Analytics Infrastructure DevFeed: [How Raindrop Scales AI Observability with Tinybird's Real-Time Analytics Infrastructure]() Original publisher: [Read original article]() Author: Tinybird Published: 2025-04-24T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [ai observability](), [AI Development](), [real-time](), [observability]() Tags: [ai](), [ai-observability](), [customer-stories](), [net-11](), [observability](), [real-time]() ### AI overview This case study describes how Raindrop, an AI observability platform, processes hundreds of millions of requests daily using Tinybird's real-time analytics infrastructure to help companies understand interactions with their AI applications. ### Source excerpt Learn how this AI observability platform processes hundreds of millions of requests daily to help companies understand how users interact with their AI applications, powered by Tinybird's real-time analytics infrastructure. ## Resend delivers email metrics to builders with Tinybird DevFeed: [Resend delivers email metrics to builders with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2025-01-29T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [dashboards](), [Latency](), [Query (disambiguation)]() Tags: [analytics](), [customer-stories](), [dashboards](), [email](), [event](), [latency](), [logs](), [marketing](), [metrics]() ### AI overview Resend processes terabytes of email event logs and maintains an average query latency of 62 milliseconds for its Marketing Analytics dashboards using Tinybird. ### Source excerpt Learn how Resend processes terabytes of email event logs while maintaining 62ms average query latency for its Marketing Analytics dashboards. ## Zembula fast-tracks its roadmap with Tinybird DevFeed: [Zembula fast-tracks its roadmap with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2024-11-20T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [personalization](), [real-time]() Tags: [customer-stories](), [customers](), [personalization](), [real-time](), [retail]() ### AI overview A case study of how Zembula, an email personalization platform, used Tinybird to answer previously unanswerable questions about real-time attribution for its retail customers. ### Source excerpt Learn how a rising email personalization platform used Tinybird to answer previously unanswerable questions about real-time attribution for their retail customers. ## Plain builds real-time customer support insights with Tinybird DevFeed: [Plain builds real-time customer support insights with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2024-10-07T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [real-time](), [data](), [Support]() Tags: [b2b](), [customer](), [customer-stories](), [data](), [features](), [insights](), [real-time](), [support](), [technical](), [time]() ### AI overview The article describes how Plain uses Tinybird to add data-driven features to its technical B2B customer support platform, helping customers identify support trends in real time. ### Source excerpt Read how the fastest, most powerful support platform for technical B2B teams uses Tinybird to permeate its product with data-driven features that help customers identify support trends in real time. ## Blacksmith builds faster CI analytics with Tinybird DevFeed: [Blacksmith builds faster CI analytics with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2024-07-24T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [ci](), [GitHub Actions](), [GitHub]() Tags: [analytics](), [ci](), [continuous-integration](), [customer-stories](), [github](), [github-actions]() ### AI overview The article describes Blacksmith's offering of GitHub Actions that are presented as twice as fast and less than half the cost, with user-facing CI analytics powered by Tinybird. ### Source excerpt Learn how a fast-moving startup is shaking up the world of Continuous Integration by offering 2x faster GitHub Actions at less than half the cost, with user-facing CI analytics powered by Tinybird. ## Audiense evolves its social media timeline with Tinybird DevFeed: [Audiense evolves its social media timeline with Tinybird]() Original publisher: [Read original article]() Author: Tinybird Published: 2024-06-25T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [data]() Tags: [customer-stories](), [data](), [social-media]() ### AI overview Audiense evolved its social media timeline with Tinybird, using data collected from more than 1.5 billion X users to unlock value from its social audience intelligence data. ### Source excerpt Learn how a leader in social audience intelligence leveraged Tinybird to unlock the incredible value in the data it had collected from over 1.5 billion X users. 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