|
6 | 6 | def quotes() -> rx.Component: |
7 | 7 | return rx.el.section( |
8 | 8 | quote_card( |
9 | | - "Automate Analytics for Internal AI Tools.", |
10 | | - "Deploy Bank-Grade Internal Dashboards in Days, Not Months", |
11 | | - "Léo's R&D team turned a rough prototype into a production-grade dashboard tracking usage of a GPT-powered internal chatbot. What used to require weeks of front-end work now ships in a couple of days, inside their internal AWS environment.", |
12 | | - '"—It\'s like comparing a bike to a supercar. (Comparing Dash to Reflex)"', |
13 | | - "FirstName LastName, Crédit Agricole CIB", |
| 9 | + "Replace brittle Tableau/Streamlit prototypes with production apps.", |
| 10 | + "Go straight from idea to production, without the “prototype then rebuild” cycle", |
| 11 | + "At the World Bank, teams were stuck jumping between Tableau dashboards, Streamlit prototypes, and custom JavaScript apps. With Reflex, they’re building production-grade data platforms from day one, including a chat-driven data app with AG Grid tables and an AI-powered legal assistant that lets 100+ lawyers and investigators query internal documents securely within the Bank's Azure environment.", |
| 12 | + '"You wouldn’t want to use Dash or Streamlit to build a real production-grade app… We have them go straight into Reflex."', |
| 13 | + "Data Developer, World Bank", |
14 | 14 | ), |
15 | 15 | quote_card( |
16 | | - "Automate Analytics for Internal AI Tools.", |
17 | | - "Deploy Bank-Grade Internal Dashboards in Days, Not Months", |
18 | | - "Léo's R&D team turned a rough prototype into a production-grade dashboard tracking usage of a GPT-powered internal chatbot. What used to require weeks of front-end work now ships in a couple of days, inside their internal AWS environment.", |
19 | | - '"—It\'s like comparing a bike to a supercar. (Comparing Dash to Reflex)"', |
20 | | - "FirstName LastName, Crédit Agricole CIB", |
| 16 | + "Ship fintech-grade SaaS without a front-end team.", |
| 17 | + "From YC prototype to fintech SaaS—with no React, Dash, or front-end hires", |
| 18 | + "Bayesline’s founders built a full fintech risk analytics platform on Reflex—wrapping AG Grid, handling hundreds of thousands of instruments, and delivering a UI indistinguishable from a hand-coded React app. Reflex gave them ~4x faster development vs learning React and about 50% less code than their previous Dash implementation, while keeping everything in Python and avoiding the need to hire a dedicated front-end engineer.", |
| 19 | + '"Using Reflex instead of Plotly Dash was like the difference between organized Legos and a plate of spaghetti."', |
| 20 | + "Sebastian, Founder, Bayesline", |
21 | 21 | ), |
22 | | - quote_card( |
23 | | - "Automate Analytics for Internal AI Tools.", |
24 | | - "Deploy Bank-Grade Internal Dashboards in Days, Not Months", |
25 | | - "Léo's R&D team turned a rough prototype into a production-grade dashboard tracking usage of a GPT-powered internal chatbot. What used to require weeks of front-end work now ships in a couple of days, inside their internal AWS environment.", |
26 | | - '"—It\'s like comparing a bike to a supercar. (Comparing Dash to Reflex)"', |
27 | | - "FirstName LastName, Crédit Agricole CIB", |
28 | | - ), |
29 | | - quote_card( |
30 | | - "Automate Analytics for Internal AI Tools.", |
31 | | - "Deploy Bank-Grade Internal Dashboards in Days, Not Months", |
32 | | - "Léo's R&D team turned a rough prototype into a production-grade dashboard tracking usage of a GPT-powered internal chatbot. What used to require weeks of front-end work now ships in a couple of days, inside their internal AWS environment.", |
33 | | - '"—It\'s like comparing a bike to a supercar. (Comparing Dash to Reflex)"', |
34 | | - "FirstName LastName, Crédit Agricole CIB", |
| 22 | + rx.el.div( |
| 23 | + quote_card( |
| 24 | + "Automate Analytics for Internal AI Tools.", |
| 25 | + "Deploy Bank-Grade Internal Dashboards in Days, Not Months", |
| 26 | + "At Crédit Agricole CIB, Léo's R&D team turned a rough prototype into a production-grade dashboard tracking usage of a GPT-powered internal chatbot. What used to require weeks of front-end work now ships in a couple of days, inside their internal AWS environment.", |
| 27 | + '"It\'s like comparing a bike to a supercar. (Comparing Dash to Reflex)"', |
| 28 | + "Léo, Tech Lead, R&D, Crédit Agricole CIB", |
| 29 | + ), |
| 30 | + class_name="lg:col-span-2 lg:justify-self-center w-full lg:max-w-[42rem]", |
35 | 31 | ), |
36 | 32 | class_name="grid lg:grid-cols-2 grid-cols-1 gap-4 mx-auto w-full max-w-[84.5rem] relative overflow-hidden", |
37 | 33 | ) |
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