Watch me Build a Marketing Startup - Revision history

BPeat at 11:42, 17 August 2023

2023-08-17T11:42:44Z

BPeat at 23:25, 4 July 2023

2023-07-04T23:25:30Z

BPeat at 18:14, 27 June 2023

2023-06-27T18:14:06Z

BPeat at 18:13, 27 June 2023

2023-06-27T18:13:18Z

BPeat at 19:46, 17 June 2023

2023-06-17T19:46:30Z

BPeat at 02:08, 12 June 2023

2023-06-12T02:08:34Z

BPeat at 12:09, 21 May 2023

2023-05-21T12:09:08Z

BPeat at 00:49, 30 September 2020

2020-09-30T00:49:07Z

BPeat at 21:33, 14 September 2020

2020-09-14T21:33:59Z

BPeat at 13:44, 30 November 2019

2019-11-30T13:44:57Z

@@ Line 29: / Line 29: @@
 * [[Javascript#Node.js|Node.js]] - JavaScript runtime built on Chrome's V8 JavaScript engine
 * [http://reactjs.org/ React] =  JavaScript library for building user interfaces
-* [http://www.postgresql.org/ PostgreSQL] Open Source Relational Database
+* [http://www.postgresql.org/ PostgreSQL] Open Source Relational [[Database]]
 * [http://knexjs.org/ Knex.js] SQL query builder
 * [[Graph#GraphQL|GraphQL]] a query language for your API, and a server-side runtime for executing queries
@@ Line 39: / Line 39: @@
 * [http://clearbit.com/ Clearbit] marketing data engine
 * [http://facebook.github.io/watchman/ Watchman] ... a file watching service [[Excel]] related...
-* [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database]] ... [[Graph]] ... [[LlamaIndex]]
+* [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database|Database; Vector & Relational]] ... [[Graph]] ... [[LlamaIndex]]
 * [[Python#Python & Excel| Python & Excel]]

@@ Line 2: / Line 2: @@
 |title=PRIMO.ai
 |titlemode=append
-|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
+|keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
 [http://www.youtube.com/results?search_query=Bot+Framework+Language+Understanding+Intelligent+Cognitive+Services YouTube search...]
 [http://www.google.com/search?q=Bot+Framework+deep+machine+learning+ML ...Google search]
-* [[How do I leverage AI?]]
+* [[How do I leverage Artificial Intelligence (AI)?]]
 ** [[Watch me Build a Healthcare Startup]] | [[Creatives#Siraj Raval|Siraj Raval]]
 ** [[Watch me Build a Finance Startup]] | [[Creatives#Siraj Raval|Siraj Raval]]

@@ Line 29: / Line 29: @@
 * [http://analytics.google.com/analytics/web/#/ Google Analytics]
 * [http://clearbit.com/ Clearbit] marketing data engine
-* [http://facebook.github.io/watchman/ Watchman] a file watching service
+* [http://facebook.github.io/watchman/ Watchman] ... a file watching service [[Excel]] related...
 * [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database]] ... [[Graph]] ... [[LlamaIndex]]
 * [[Python#Python & Excel| Python & Excel]]

@@ Line 31: / Line 31: @@
 * [http://facebook.github.io/watchman/ Watchman] a file watching service
 Excel related...
-* [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database]] ... [[Graph]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
+* [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database]] ... [[Graph]] ... [[LlamaIndex]]
 * [[Python#Python & Excel| Python & Excel]]

@@ Line 31: / Line 31: @@
 * [http://facebook.github.io/watchman/ Watchman] a file watching service
 Excel related...
-* [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
+* [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database]] ... [[Graph]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
 * [[Python#Python & Excel| Python & Excel]]

@@ Line 31: / Line 31: @@
 * [http://facebook.github.io/watchman/ Watchman] a file watching service
 Excel related...
-* [[Excel - Data Analysis]]
+* [[Excel]] - Data Analysis
 * [[Python#Python & Excel| Python & Excel]]
-I've built an app called VectorFunnel that automatically scores leads for marketing & sales teams! I used React for the frontend, [[Javascript#Node.js|Node.js]] for the backend, PostgreSQL for the database, and [[TensorFlow.js]] for scoring each lead in an Excel spreadsheet. There are a host of other tools that I used like ClearBit's data API and various [[Javascript]] frameworks. If you have no idea what any of that is, that's ok I'll show you! In this video, I'll explain how I built the app so that you can understand how all these parts fit together. The learning goal here is to give you enough of an idea of how these tools work to be able to formulate a plan for your own marketing startup MVP (minimum viable product). Enjoy!  [http://github.com/llSourcell/Watch_Me_Build_a_Marketing_Startup Code for "Watch Me Build a Marketing  Startup" |] [[Creatives#Siraj Raval|Siraj Raval]] - GitHub
+I've built an app called VectorFunnel that automatically scores leads for marketing & sales teams! I used React for the frontend, [[Javascript#Node.js|Node.js]] for the backend, PostgreSQL for the database, and [[TensorFlow.js]] for scoring each lead in an [[Excel]] spreadsheet. There are a host of other tools that I used like ClearBit's data API and various [[Javascript]] frameworks. If you have no idea what any of that is, that's ok I'll show you! In this video, I'll explain how I built the app so that you can understand how all these parts fit together. The learning goal here is to give you enough of an idea of how these tools work to be able to formulate a plan for your own marketing startup MVP (minimum viable product). Enjoy!  [http://github.com/llSourcell/Watch_Me_Build_a_Marketing_Startup Code for "Watch Me Build a Marketing  Startup" |] [[Creatives#Siraj Raval|Siraj Raval]] - GitHub
 <youtube>6oM3N6PRFz8</youtube>

@@ Line 12: / Line 12: @@
 ** [[Watch me Build a Finance Startup]] | [[Creatives#Siraj Raval|Siraj Raval]]
 ** [[Watch me Build a Retail Startup]] | [[Creatives#Siraj Raval|Siraj Raval]]
 ** [[Watch me Build a Cybersecurity Startup]] | [[Creatives#Siraj Raval|Siraj Raval]]

@@ Line 9: / Line 9: @@
 * [[How do I leverage AI?]]
-** [[Watch me Build a Healthcare Startup]] | Siraj Raval
+** [[Watch me Build a Healthcare Startup]] | [[Creatives#Siraj Raval|Siraj Raval]]
-** [[Watch me Build a Finance Startup]] | Siraj Raval
+** [[Watch me Build a Finance Startup]] | [[Creatives#Siraj Raval|Siraj Raval]]
-** [[Watch me Build a Retail Startup]] | Siraj Raval
+** [[Watch me Build a Retail Startup]] | [[Creatives#Siraj Raval|Siraj Raval]]
-** [[Watch me Build a Trading Bot]] | Siraj Raval
+** [[Watch me Build a Trading Bot]] | [[Creatives#Siraj Raval|Siraj Raval]]
-** [[Watch me Build a Cybersecurity Startup]] | Siraj Raval
+** [[Watch me Build a Cybersecurity Startup]] | [[Creatives#Siraj Raval|Siraj Raval]]
@@ Line 35: / Line 35: @@
 * [[Python#Python & Excel| Python & Excel]]
-I've built an app called VectorFunnel that automatically scores leads for marketing & sales teams! I used React for the frontend, [[Javascript#Node.js|Node.js]] for the backend, PostgreSQL for the database, and [[TensorFlow.js]] for scoring each lead in an Excel spreadsheet. There are a host of other tools that I used like ClearBit's data API and various [[Javascript]] frameworks. If you have no idea what any of that is, that's ok I'll show you! In this video, I'll explain how I built the app so that you can understand how all these parts fit together. The learning goal here is to give you enough of an idea of how these tools work to be able to formulate a plan for your own marketing startup MVP (minimum viable product). Enjoy!  [http://github.com/llSourcell/Watch_Me_Build_a_Marketing_Startup Code for "Watch Me Build a Marketing  Startup" | Siraj Raval - GitHub]
+I've built an app called VectorFunnel that automatically scores leads for marketing & sales teams! I used React for the frontend, [[Javascript#Node.js|Node.js]] for the backend, PostgreSQL for the database, and [[TensorFlow.js]] for scoring each lead in an Excel spreadsheet. There are a host of other tools that I used like ClearBit's data API and various [[Javascript]] frameworks. If you have no idea what any of that is, that's ok I'll show you! In this video, I'll explain how I built the app so that you can understand how all these parts fit together. The learning goal here is to give you enough of an idea of how these tools work to be able to formulate a plan for your own marketing startup MVP (minimum viable product). Enjoy!  [http://github.com/llSourcell/Watch_Me_Build_a_Marketing_Startup Code for "Watch Me Build a Marketing  Startup" |] [[Creatives#Siraj Raval|Siraj Raval]] - GitHub
 <youtube>6oM3N6PRFz8</youtube>

@@ Line 23: / Line 23: @@
 * [http://www.postgresql.org/ PostgreSQL] Open Source Relational Database
 * [http://knexjs.org/ Knex.js] SQL query builder
-* [[GraphQL]] a query language for your API, and a server-side runtime for executing queries
+* [[Graph#GraphQL|GraphQL]] a query language for your API, and a server-side runtime for executing queries
 * [http://facebook.github.io/relay/ Relay] a JavaScript framework for building data-driven React applications
 * [http://firebase.google.com/ Firebase] | Google's service