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Sharing the Source for DataVids

Feb 12, 2024 - apsquared.co
The article announces the decision to shelve the DataVids project, a venture that combined video and AI, due to its lack of commercial viability. Instead of letting the hard work go to waste, the creators have decided to share the source code to help others learn from it. The project offers learning opportunities in various areas including Typescript, NextJS App Router, Langchain for AI calls, generating JSON schema from AI information, using MongoDB with NextJS, creating videos from React code using Remotion video API, and using AWS Lambdas to render Remotion videos.

The creators encourage those who find the project helpful to follow them on Twitter and explore their other sites, BarGPT and TVFoodMaps. The source code for the project is available on Github. The article also mentions a recent rebuild of BarGPT, recommending the use of a boilerplate over a basic template, and endorsing ShipFa.st as a highly recommended tool.

Key takeaways:

  • The DataVids project, which combined video and AI, has been shelved due to lack of commercial viability, but its source code has been made available for learning purposes.
  • Key learning points from the DataVids project include Typescript, NextJS App Router, usage of Langchain for AI calls, generating JSON schema from AI information, using MongoDB with NextJS, and creating videos from React code using Remotion video API.
  • The authors request a follow on Twitter and encourage trying out their other sites, BarGPT and TVFoodMaps, if the shared source code proves helpful.
  • For the recent rebuild of BarGPT, a boilerplate was used over a basic template, with ShipFa.st being highly recommended.
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