# Case Studies Published articles for Case Studies. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## LF Energy Research Finds Open Source Software Can Deliver 2-5x Greater Net Value for Grid Operators DevFeed: [LF Energy Research Finds Open Source Software Can Deliver 2-5x Greater Net Value for Grid Operators]() Original publisher: [Read original article]() Author: andrewb@proximabiz.com (The Linux Foundation) Published: 2026-09-15T07:00:00Z Content type: news Language: en Sources: [Linux Foundation - Blog]() Topics: [Open Source](), [Software](), [cloud-infrastructure](), [digital sovereignty](), [interoperability](), [Simulation]() Tags: [ai-data-centers](), [case-studies](), [compare](), [cost](), [digital-sovereignty](), [framework](), [infrastructure](), [interoperability](), [linux-foundation](), [open-source](), [renewable-energy](), [report](), [research](), [september-2026](), [software](), [summit]() ### AI overview LF Energy reports that open source software can provide grid operators with 2-5 times greater net value than conventional software procurement. Its Open Source Benefit-Cost Framework evaluates total cost of ownership, risk exposure, strategic value, and societal impact using case studies and simulations. ### Source excerpt New benefit-cost framework gives utilities and regulators a standardized methodology to compare open source with conventional software procurement ## Inside LuBot's database-per-tenant architecture DevFeed: [Inside LuBot's database-per-tenant architecture]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-09-14T12:00:00Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Database](), [Software as a service](), [Supabase](), [Provisioning](), [stripe](), [API]() Tags: [api](), [architecture](), [billing](), [case-studies](), [checkout](), [database](), [infrastructure](), [product](), [provisioning](), [saas](), [scale](), [stripe]() ### AI overview This article explains LuBot's database-per-tenant architecture. LuBot uses Supabase for shared administrative data such as organizations, users, and billing state, while each paying customer receives an isolated Postgres database. Stripe checkout triggers a webhook that provisions a Neon branch through the Neon API, with deterministic naming to prevent duplicate tenants. Neon branches provide independent compute and can scale idle tenants to zero. ### Source excerpt It took six days to go from zero to isolated Postgres per tenant, provisioned the moment someone pays. A traditional Postgres setup would have been a full quarter of work. ## Test Complex Interactions Earlier with AI Prototyping DevFeed: [Test Complex Interactions Earlier with AI Prototyping]() Original publisher: [Read original article]() Author: Megan Chan Published: 2026-09-11T17:00:00Z Content type: article Language: en Sources: [NN/g latest articles and announcements]() Topics: [Artificial Intelligence](), [User interface design](), [cursor]() Tags: [ai](), [article](), [case-studies](), [conversational-ai](), [cursor](), [design](), [prototyping]() ### AI overview AI prototyping tools enable teams to create high-fidelity, interactive prototypes of complex interfaces and test them with users earlier in the design process. The article discusses how Ramp used Cursor to prototype an AI chat-based expense-policy editor and uncover usability issues and edge cases. ### Source excerpt AI tools make it feasible to build fully interactive prototypes of complex interfaces so you can test them with users earlier in the design process. ## Telco UX Benchmark: 3,100+ Performance Scores and 2,400+ Best Practice Examples DevFeed: [Telco UX Benchmark: 3,100+ Performance Scores and 2,400+ Best Practice Examples]() Original publisher: [Read original article]() Author: Anders Nielsen Published: 2026-09-01T08:45:00Z Content type: article Language: en Sources: [Baymard Institute]() Topics: [web applications](), [GUI]() Tags: [article](), [benchmark](), [case-studies](), [comparison](), [ecommerce](), [mobile](), [performance](), [research](), [testing](), [ux](), [web]() ### AI overview Baymard presents a Telco UX benchmark based on seven case studies, manually assessed across more than 500 research-based parameters. The benchmark reports poor overall UX performance and highlights unclear plan and specification labels, weak comparison tools, missing contract and device terms, and incomplete warranty, returns, shipping, delivery, and discount information. ### Source excerpt (Note: Unfortunately, e-mail and RSS don't support advanced layouts and features. If the graphics in this article look strange, you may want to read the article in your web browser.) At Baymard, we've just released a new UX benchmark with 7 "Telco" UX case studies. This follows from our large-scale user testing on Telco UX and adds to our existing ecommerce UX benchmark. In this article, we give you a snapshot of the overall UX performance. 7 Telco UX Case Studies and the Overall Performance AT&T mediocre Telco 51 page designs: desktop, mobile Xfinity poor Telco 47 page designs: desktop, mobile Lebara poor Telco 45 page designs: desktop, mobile Orange poor Telco 56 page designs: desktop, mobile Vodafone UK poor Telco 49 page designs: desktop, mobile Bell poor Telco 44 page designs: desktop, mobile Verizon poor Telco 49 page designs: desktop, mobile YourSite.com? Want to know how your site performs? Get Premium access to review your own site or have it audited by Baymard researchers. These are the 7 in-depth Telco UX case studies. The 7 Telco sites have been manually assessed across 500+ research-based UX parameters relevant to Telco providers, resulting in 3,100+ weighted UX performance scores and 2,400+ best practice examples from these desktop and mobile sites. Each of the 3,100+ UX performance scores from the 7 Telco case studies is summarized in the interactive scatterplot below -- showing you how they perform collectively and individually: {{ scatterplot-graph: size=big + habitat=public + base-sites=collection:telco + view-structure-id=gemini-st_47eezi8l }} The overall UX performance of the Telco sites is "poor," with only 1 site in the "mediocre" range. Here are some of the overarching UX issues. On the benchmarked sites, proprietary plan names and technical specifications were presented as labels without explanation. No site explained its industry-specific filters or provided inline help for technical specifications within comparison features, and plan feature ## Food Delivery & Takeout UX Benchmark: 3,100+ Performance Scores and 1,900+ Best Practice Examples DevFeed: [Food Delivery & Takeout UX Benchmark: 3,100+ Performance Scores and 1,900+ Best Practice Examples]() Original publisher: [Read original article]() Author: Anders Nielsen Published: 2026-08-13T08:01:00Z Content type: article Language: en Sources: [Baymard Institute]() Topics: [Benchmark](), [User experience (UX)](), [App](), [web applications]() Tags: [apps](), [article](), [benchmark](), [case-studies](), [customer](), [ecommerce](), [insights](), [mobile](), [performance](), [research](), [retail](), [user-testing](), [ux]() ### AI overview Baymard presents a Food Delivery & Takeout UX benchmark based on eight mobile sites and apps assessed across more than 390 research-based UX parameters. The benchmark reports over 3,100 weighted performance scores and 1,900 best-practice examples, with overall experiences ranging from poor to mediocre. Key weaknesses include repeat ordering, dietary and customization support, category filters, navigation, fulfillment timing, and tipping details. ### Source excerpt (Note: Unfortunately, e-mail and RSS don't support advanced layouts and features. If the graphics in this article look strange, you may want to read the article in your web browser.) At Baymard, we've just released a new UX benchmark with 8 "Food Delivery & Takeout" UX case studies. This follows our large-scale user testing on Food Delivery & Takeout UX and adds to our existing ecommerce UX benchmark. In this article, we give you a snapshot of the overall UX performance. 8 Food Delivery & Takeout UX Case Studies and the Overall Performance Just Eat mediocre Food Delivery & Takeout 49 page designs: mobile, app KFC mediocre Food Delivery & Takeout 48 page designs: mobile, app Uber Eats mediocre Food Delivery & Takeout 54 page designs: mobile, app Domino's Pizza poor Food Delivery & Takeout 34 page designs: mobile, app DoorDash poor Food Delivery & Takeout 48 page designs: mobile, app McDonald's poor Food Delivery & Takeout 39 page designs: mobile, app Deliveroo poor Food Delivery & Takeout 53 page designs: mobile, app Burger King broken Food Delivery & Takeout 41 page designs: mobile, app YourSite.com? Want to know how your site performs? Get Premium access to review your own site or have it audited by Baymard researchers. These are the 8 in-depth Food Delivery & Takeout UX case studies. The 8 mobile sites and apps have been manually assessed across 390+ research-based UX parameters relevant to Food Delivery & Takeout, resulting in 3,100+ weighted UX performance scores and 1,900+ best practice examples from these mobile sites and apps. Each of the 3,100+ UX performance scores from the 8 case studies is summarized in the interactive scatterplot below -- showing you how they perform collectively and individually: {{ scatterplot-graph: size=big + habitat=public + base-sites=collection:online-food-delivery + view-structure-id=gemini-st_l9jw5tjp }} The overall UX performance of the Food Delivery & Takeout sites and apps ranges from "poor" to "mediocre". What is missing is a ## CommSync Runs Text, Vector, and Hybrid Search on Postgres with Lakebase Search DevFeed: [CommSync Runs Text, Vector, and Hybrid Search on Postgres with Lakebase Search]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-07-30T12:00:00Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Latency](), [Embeddings](), [Artificial Intelligence](), [App](), [Extension]() Tags: [ai](), [app](), [case-studies](), [embeddings](), [feature](), [features](), [latency](), [postgres](), [product](), [search](), [vector]() ### AI overview CommSync describes using Neon's Lakebase Search extensions on Postgres for lexical, semantic, and hybrid inbox search. The article reports substantially lower query latency than the previous GIN-based approach and explains a hybrid implementation combining BM25, embedding-based cosine similarity, and Reciprocal Rank Fusion. ### Source excerpt "We're running lakebase_text and lakebase_vector across three different parts of our product. Query latency improved 1,000x and we don't need a separate search stack sitting next to our Postgres." ## Internet Service Providers UX Benchmark: 1,700+ Performance Scores and 1,100+ Best Practice Examples DevFeed: [Internet Service Providers UX Benchmark: 1,700+ Performance Scores and 1,100+ Best Practice Examples]() Original publisher: [Read original article]() Author: Anders Nielsen Published: 2026-07-28T05:27:00Z Content type: article Language: en Sources: [Baymard Institute]() Topics: [Benchmark](), [User experience (UX)](), [User Experience](), [web applications]() Tags: [article](), [benchmark](), [case-studies](), [ecommerce](), [performance](), [research](), [user-testing](), [ux]() ### AI overview Baymard presents a UX benchmark covering seven Internet Service Provider websites. Based on large-scale user testing, the benchmark reports 1,700+ weighted UX performance scores and 1,100+ best-practice examples. Overall performance is described as mediocre, with recurring problems in plan comparison and application flows, including dense layouts, unclear pricing, weak guidance, and form friction. ### Source excerpt (Note: Unfortunately, e-mail and RSS don't support advanced layouts and features. If the graphics in this article look strange, you may want to read the article in your web browser.) At Baymard, we've just released a new UX benchmark with 7 "Internet Service Providers (ISP)" UX case studies. This follows from our large-scale user testing and adds to our existing ecommerce UX benchmark. In this article, we give you a snapshot of the overall UX performance. 7 Internet Service Providers UX Case Studies and the Overall Performance BT mediocre Internet Service Providers 26 page designs: desktop, mobile Telekom mediocre Internet Service Providers 35 page designs: desktop, mobile Frontier mediocre Internet Service Providers 25 page designs: desktop, mobile COX mediocre Internet Service Providers 24 page designs: desktop, mobile CenturyLink mediocre Internet Service Providers 25 page designs: desktop, mobile Viasat mediocre Internet Service Providers 32 page designs: desktop, mobile Spectrum mediocre Internet Service Providers 15 page designs: desktop, mobile YourSite.com? Want to know how your site performs? Get Premium access to review your own site or have it audited by Baymard researchers. These are the 7 in-depth ISP UX case studies. The 7 ISP sites have been manually assessed across 280+ research-based UX parameters relevant to Internet Service Providers, resulting in 1,700+ weighted UX performance scores and 1,100+ best practice examples from these desktop and mobile sites. Each of the 1,700+ UX performance scores from the 7 ISP case studies is summarized in the interactive scatterplot below -- showing you how they perform collectively and individually: {{ scatterplot-graph: size=big + habitat=public + base-sites=collection:internet-service-providers + view-structure-id=gemini-st_9en1b7zd }} The overall UX performance of the ISP sites is "mediocre," with 1 site just on the border of "poor". ISP sites typically offer a narrow set of services, but these services come wi ## 9 Best Global Payment Gateway Providers for 2026 DevFeed: [9 Best Global Payment Gateway Providers for 2026]() Original publisher: [Read original article]() Author: Aarthi Poonia Published: 2026-07-02T00:00:00Z Content type: article Language: en Sources: [Dodo Payments Blog]() Topics: [Software as a service](), [stripe](), [API]() Tags: [api](), [case-studies](), [compliance](), [cross-border](), [developer](), [docs](), [fees](), [guide](), [merchant-of-record](), [payment](), [payments](), [saas](), [usage-based-billing](), [vat](), [work]() ### AI overview A comparison of global payment gateway providers for 2026, focusing on country coverage, currencies, payment methods, tax compliance, fees, and merchant-of-record responsibilities. It highlights Dodo Payments for global SaaS and digital products, including its payment, tax, invoicing, analytics, and usage-based billing features, and briefly introduces Stripe. ### Source excerpt Compare the best global payment gateway providers for 2026 on country coverage, currencies, tax compliance, and fees. See which fits SaaS, digital products, and cross-border sales. ## How Specific Provisions Thousands of Databases for Coding Agents Using Neon DevFeed: [How Specific Provisions Thousands of Databases for Coding Agents Using Neon]() Original publisher: [Read original article]() Author: Andy Hattemer Published: 2026-03-18T19:19:23Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [AI Bots]() Tags: [ai-agent](), [case-studies](), [database](), [infrastructure](), [serverless]() ### AI overview Specific describes using Neon to provision databases for coding-agent-built applications. It highlights scale-to-zero for idle databases and branching for isolated preview environments. ### Source excerpt "I'm genuinely surprised by how well it handles that scale. You can create tons of databases and they're available immediately. You can branch out immediately. All of those things make it really nice for agent-managed infra." Iman Radjavi, Co-founder, Specific.dev What Specific b... ## 15,000+ Apps Built Over WhatsApp: Inside QwikBuild's Neon-Powered Architecture DevFeed: [15,000+ Apps Built Over WhatsApp: Inside QwikBuild's Neon-Powered Architecture]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-02-26T17:49:06Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [app builder](), [Artificial Intelligence](), [web applications](), [Drizzle](), [Hono](), [Deno](), [Python](), [TypeScript](), [Amazon Web Services](), [Database](), [Serverless](), [JavaScript]() Tags: [ai](), [app-builder](), [apps](), [architecture](), [aws](), [case-studies](), [coding](), [database](), [databases](), [drizzle](), [javascript](), [product](), [python](), [serverless](), [typescript](), [web-app](), [whatsapp]() ### AI overview This article examines QwikBuild, an AI web app builder launched on WhatsApp that has been used by more than 15,000 creators. It describes QwikBuild's architecture, including Python coordination, TypeScript-generated applications, isolated Postgres databases provisioned through Neon, Drizzle ORM, Hono, Deno, Twilio, and AWS infrastructure. The article explains how separate databases and Neon's independently scalable compute and storage support application isolation and low idle costs. ### Source excerpt "The biggest strength of Neon is how it decouples storage and compute and makes them independently scalable. When an app isn't being used, the compute node can be put in idle mode at extremely low cost, which lets us handle a wide range of scale and complexity without compromise.... ## Where Agents Meet Infrastructure: Encore, Leap, and Neon DevFeed: [Where Agents Meet Infrastructure: Encore, Leap, and Neon]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-02-25T19:45:21Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Platform Engineering](), [Artificial Intelligence](), [Amazon Web Services](), [cloud-infrastructure](), [Go](), [TypeScript](), [Back end](), [Deployment](), [Database](), [App](), [GitHub](), [Terraform]() Tags: [agents](), [ai](), [aws](), [case-studies](), [cloud-infrastructure](), [code](), [database](), [deployment](), [github](), [go](), [infrastructure](), [platform-engineering](), [product](), [typescript]() ### AI overview Encore's Leap is an AI-focused, full-stack development environment built on Encore's infrastructure model. It generates production-oriented applications, including backend services, APIs, database schemas, infrastructure definitions, and background jobs, then deploys them through Encore Cloud to users' AWS or GCP accounts. Leap also provides preview environments, in-browser editing, and GitHub integration. ### Source excerpt From the start, the team at Encore has been focused on solving a simple problem: shipping production infrastructure shouldn't require a dedicated platform engineering team. They set out to make deploying real applications feel simple without abstracting away control; in Encore, d... ## Disrupting malicious uses of AI | February 2026 DevFeed: [Disrupting malicious uses of AI | February 2026]() Original publisher: [Read original article]() Published: 2026-02-25T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [AI Models]() Tags: [ai](), [ai-models](), [case-studies](), [insights](), [models](), [security](), [social-media](), [threat-report](), [workflow]() ### AI overview A February 2026 threat report examines how malicious actors combine AI models with websites and social platforms, often using multiple models across different stages of their operational workflow. It discusses implications for identifying, detecting, and defending against these threats. ### Source excerpt Our latest threat report examines how malicious actors combine AI models with websites and social platforms--and what it means for detection and defense. ## How Zite Provisions Isolated Postgres Databases for Every User DevFeed: [How Zite Provisions Isolated Postgres Databases for Every User]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-02-06T20:56:25Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Database](), [App](), [Back end]() Tags: [app-builder](), [architecture](), [aws](), [case-studies](), [databases](), [postgres]() ### AI overview Zite describes building a managed database for its app builder and moving beyond an initial shared PostgreSQL database on AWS RDS. The article focuses on provisioning isolated databases for end users and reducing infrastructure-management work. ### Source excerpt "We were getting ready to hire dedicated engineers just to manage and scale Zite Database. With Neon, we didn't need to do that - we were able to give every end user their own database, including on the free plan" (Dominic Whyte, Co-founder at Zite) Zite is an AI-native app build... ## Agentuity: A Cloud Where Agents Can Actually Build DevFeed: [Agentuity: A Cloud Where Agents Can Actually Build]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-02-02T17:10:46Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Artificial Intelligence](), [Cloud](), [cloud-infrastructure](), [Architecture & Design](), [Security](), [Database](), [Serverless]() Tags: [agents](), [ai](), [ai-agents](), [architecture](), [authentication](), [case-studies](), [cloud](), [database](), [infrastructure](), [networking](), [product](), [sandbox](), [serverless](), [storage](), [workflows]() ### AI overview The article explains why conventional, app-centric cloud infrastructure can hinder autonomous AI agents that reason for extended periods, pause and resume, coordinate with other agents, and manage state. It presents Agentuity as building a cloud centered on agent-oriented primitives such as databases, storage, code sandboxes, secure networking, authentication, and disposable tools. ### Source excerpt "Agents don't want heavyweight infrastructure that lives forever, they want primitives they can spin up, use, and discard as part of their work. Neon fits that model perfectly: it behaves the way agents actually think about state" (Rick Blalock, Co-founder at Agentuity) Existing... ## Behind Modem.dev's Product Velocity DevFeed: [Behind Modem.dev's Product Velocity]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-01-29T17:31:27Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Developer experience](), [Artificial Intelligence](), [Database](), [Databases](), [GitHub](), [Discord](), [Slack]() Tags: [ai](), [bug](), [case-studies](), [code](), [database](), [developer-experience](), [discord](), [feature](), [github](), [product](), [slack](), [workflows]() ### AI overview Modem uses Neon's database branching to accelerate development while building an AI product manager that centralizes user feedback, groups it into actionable topics, preserves conversation context, and automates follow-ups. The article highlights branching as a safer way to test, compare, and discard database changes, including migrations. ### Source excerpt "Neon branching fundamentally accelerates our developer experience. It's a huge reason we're able to ship faster without worrying about breaking things" (Ben Vinegar, Co-founder at Modem) If you're a PM or even an engineer at a small startup, this will hit home: This is the pain... ## Meet Fimo.ai, the AI-Native CMS from Strapi DevFeed: [Meet Fimo.ai, the AI-Native CMS from Strapi]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-01-21T18:38:58Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [AI Chat]() Tags: [ai](), [case-studies](), [collaboration](), [content](), [database](), [product](), [vibe-coding](), [workflows]() ### AI overview Fimo.ai is presented as an AI-native CMS for production websites, combining visual editing, real-time collaboration, code access, tracked changes, and rollback. The article says Neon's database branches and snapshots support safe website iteration. ### Source excerpt "Fimo lets teams experiment without fear because you can always roll back. Neon's branches and snapshots are what make that possible" Pierre Burgy, CEO at Strapi The good folks at Strapi just launched something exciting: Fimo.ai, an AI-native CMS built specifically for real websi... ## Building TanStack.com with Neon and TanStack (duh) DevFeed: [Building TanStack.com with Neon and TanStack (duh)]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-01-20T17:17:15Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Web Development](), [Open Source](), [React](), [Tooling]() Tags: [building](), [case-studies](), [framework](), [open-source](), [product](), [react](), [tooling]() ### AI overview This article describes how the TanStack team used Neon to power tanstack.com and evaluate the developer experience of TanStack Start, TanStack Query, and the wider TanStack ecosystem. It introduces TanStack's open-source tools for modern web applications, including routing, data fetching and caching, forms, AI features, virtualized data sets, and developer tooling. ### Source excerpt "Neon was so easy to get started, and it worked flawlessly with TanStack Start and TanStack Query. When you start a new project with TanStack Start and select Neon in the CLI, you get a working database instantly and later you can go claim it, which is one of the coolest things I... ## Atoms is Out, a Multi-Agent AI Team that Builds Full-Stack Apps for You DevFeed: [Atoms is Out, a Multi-Agent AI Team that Builds Full-Stack Apps for You]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-01-13T17:48:26Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Artificial Intelligence](), [App](), [Multitenancy](), [Per-user Database](), [Databases](), [Back end](), [Front end](), [Automation](), [Deployment](), [Software as a service](), [Iris](), [AI research agents]() Tags: [agent](), [ai](), [ai-agents](), [apps](), [architecture](), [automation](), [backend](), [case-studies](), [code](), [data](), [database](), [deployment](), [infrastructure](), [product](), [product-development](), [saas](), [scale](), [software]() ### AI overview Atoms is a multi-agent AI platform that builds full-stack software products from a user prompt. Specialized agents handle research, product requirements, architecture, engineering, data analysis, testing, and deployment. Its multi-tenant architecture gives each user app a dedicated Postgres database provisioned dynamically through Neon. ### Source excerpt "We chose Neon as our backend because of scale, cost-efficiency, and superior developer and user experience, all critical for Atoms' multi-tenant architecture. Each user app needs its own dedicated database, and Neon lets us spin up Postgres instances dynamically while only payin... ## Inside Bitso's Branch-Based Workflow DevFeed: [Inside Bitso's Branch-Based Workflow]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-01-07T17:01:55Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [data](), [Kafka]() Tags: [case-studies](), [database](), [java](), [kafka](), [microservices](), [postgres](), [pull-requests](), [sandbox](), [signadot](), [testing](), [workflow]() ### AI overview Bitso describes using branch-based isolated Postgres databases to complete sandboxed testing for services that need schema changes, write-heavy testing, destructive migrations, or production-like data validation. ### Source excerpt "Neon's branching gave us the last missing piece in our RISE (Robust Isolated Staging Environment): true database isolation. The services that touched schema changes or write-heavy paths could never share a database safely. Now every sandbox gets its own isolated Postgres DB when... ## The Transplant Story That Sparked a Hackathon Project DevFeed: [The Transplant Story That Sparked a Hackathon Project]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2025-12-11T18:00:13Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [For the Love of Code](), [Data Science](), [dataset](), [Machine learning](), [Open Source]() Tags: [aws](), [case-studies](), [data-science](), [dataset](), [hackathon](), [ml](), [open-source](), [project]() ### AI overview NephroCompass is an open-source clinical decision support tool created by data engineer Deepti Bahel after her kidney transplant experience. Developed as a hackathon project, it uses a curated Chronic Kidney Disease dataset and machine learning models including XGBoost, random forest, and logistic regression to estimate CKD risk from laboratory values. SHAP provides explanations for the model predictions. ### Source excerpt "I've worked with Postgres, Snowflake, and AWS in my professional environment, but for building a side project, I wanted something easier to set up. It hardly took me 10 minutes to understand how to link Neon with my application and how to make my ML workflows connect to it" (Dee... ## How Axess Intelligence Simplified Their Backend With Neon's Data API DevFeed: [How Axess Intelligence Simplified Their Backend With Neon's Data API]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2025-11-20T17:49:48Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [API](), [CRUD](), [Authentication](), [Database](), [SQL](), [JSON](), [Back end](), [App]() Tags: [api](), [auth](), [authentication](), [backend](), [case-studies](), [database](), [development](), [engineering](), [http](), [json](), [mobile](), [platform](), [product](), [production](), [sql](), [token](), [workflow]() ### AI overview This article describes how Axess Intelligence simplified the backend for its mobile rewards app by combining Neon's PostgREST-compatible Data API with Better Auth and Neon branching. The Data API handles CRUD operations and returns JSON, while Better Auth issues JWTs for authenticated requests. Separate branch-specific Data API URLs support production, development, and feature environments with lower maintenance overhead. ### Source excerpt "We didn't want to spend unnecessary time writing CRUD logic or maintaining a backend. We just connected Better Auth and the Data API and started building. The best part: every Neon branch gets its own Data API URL" Mouaz Anan, Engineer at Axess Intelligence Axess Intelligence is... ## Early experiments in accelerating science with GPT-5 DevFeed: [Early experiments in accelerating science with GPT-5]() Original publisher: [Read original article]() Published: 2025-11-20T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI Chat]() Tags: [accelerate](), [ai](), [algorithms](), [case-studies](), [experiments](), [gpt](), [math](), [openai](), [optimization](), [physics](), [research](), [review](), [science]() ### AI overview OpenAI presents early GPT-5 case studies in which expert researchers used the model to synthesize results, review literature, accelerate computations, and help solve problems across scientific disciplines. ### Source excerpt OpenAI introduces the first research cases showing how GPT-5 accelerates scientific progress across math, physics, biology, and computer science. Explore how AI and researchers collaborate to generate proofs, uncover new insights, and reshape the pace of discovery. ## Integrating Postgres and Auth the Easy Way: Daisy's Neon Setup DevFeed: [Integrating Postgres and Auth the Easy Way: Daisy's Neon Setup]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2025-11-18T19:13:50Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Database](), [Back end](), [Authorization]() Tags: [auth](), [authentication](), [automation](), [backend](), [case-studies](), [database](), [postgres](), [product]() ### AI overview Daisy describes using Neon and Neon Auth to share database-backed user accounts, sessions, and application data across its mini apps with less setup. ### Source excerpt "Using Neon with Neon Auth just made everything simpler. Our database and auth live in the same place, and it's the kind of backend you forget it exists. That's exactly how it should be" Gabriel Tumlos, Founder of Daisy Daisy is a generative media studio building tools that make... ## Streamfest Day 2: Smarter streaming in the cloud and the future of Kafka DevFeed: [Streamfest Day 2: Smarter streaming in the cloud and the future of Kafka]() Original publisher: [Read original article]() Author: Jenny Medeiros Published: 2025-11-11T00:00:00Z Content type: article Language: en Sources: [Redpanda]() Topics: [Streaming](), [Cloud](), [data](), [Kafka](), [cloud-infrastructure](), [Latency](), [benchmarking]() Tags: [2025](), [ai](), [analytics](), [applications](), [case-studies](), [cloud](), [confluent](), [cost](), [data](), [developers](), [engineering](), [event](), [kafka](), [latency](), [networking](), [object-storage](), [performance](), [product-updates](), [streaming](), [virtual-event]() ### AI overview A recap of the second day of Redpanda Streamfest 2025, covering data streaming for real-time applications, analytics, and AI. It highlights Redpanda Cloud Topics, a storage tier that uses object storage to help optimize workloads for latency, cost, or performance, along with a planned Redpanda Shadowing migration path from Confluent. ### Source excerpt Redpanda Streamfest is a two-day virtual event for developers to master data streaming for the AI era. Here's what happened on day two. [Next page]()