Ihsan Engku

I Figured out the top 5 AI apps for losing weight Watch the full video here youtu.be/O0AY1WkrSqA

With database.build, you can create an unlimited number of databases using AI! You can create dummy data or import data from CSV files. You can now deploy the database you built on database.build to Supabase with a click of a button!

Cursor Agent is just insane! In a little over an hour, without writing one line of code I created a YouTube Super Analytics Tool and I filmed the whole process... This is a full step by step guide on how to use Cursor Agent to build whatever you want with zero coding... As always I used the @senior_swc nextjs template as a starting point that has been forked over 11,000 times. (in next tweet below) Tools used: - Cursor: Duh - Replit: Template, web view and deployment - Deepseek API: High quality AI Model (Cheap and better than gpt) - SupaData API: Pull YT Transcripts - SerpAPI: Search YouTube Results - Firebase: DB and Auth Chapters: 00:00 - YouTube Power Tool In Action 03:00 - Planning Phase (How I diagram and plan) 04:58 - Features I'm adding 06:20 - Setting Up APIs and Tools 10:00 - Developing the YouTube Transcript Extractor w/ Supadata + Deepseek 19:58 - The YouTube Search Feature (SerpAPI) 29:41 - Setting Up Google Firebase (DB + Auth) 32:00 - Implementing Search and Save Features 36:50 - Styling and UI Enhancements 49:00 - Final Result 53:40 - These features are being added to @yapthread but way better (First look at composer feature)

Cool project

🚀 I'm excited to announce the future of prompt engineering: 𝚎𝚕𝚕. developed from ideas during my time at OpenAI, 𝚎𝚕𝚕 is light, functional lm programming library: - automatic versioning & tracing - rich local oss visualization tools - multimodality native Read on ⬇️

This looks so clean

@helloiamleonie Ray.io for distributed compute PyIceberg for my date lake Next.js via v0 for the quick front end iterations Vespa + Colpali for retrieval Dspy for driving the complex LM programs

Or even better learn python and generate your own algo for doing calculations

Or even better ask it to just generate the python code and you run it on your machine

LLMs like ChatGPT don’t count letters like humans—they rely on tokenization, This can cause errors, like the famous “strawberry problem,” where the LLM miscounted the “r”s. To avoid such issues, define the calculation process clearly or use a programming language.

@vijayshekhar The only way to solve LLM strawberry problem

Did you know why AI chat bots can’t answer “how many r in strawberry.” correctly ?

Wow v0 looks so hot 🥵

I like this idea. AI and IOT automation feels like match made in heaven

generative ui for home automations!

Wow this is good. But im wondering about the accuracy of this. Like how accurate it at handling different file formats

Just spend 4 hours during my weekend building my own mindmap tooling. Inspired by @excalidraw I have to say it is quite fun building. And the best part is the running cost of this is near zero. We’re talking about 0.001. The site is here -> solucion.vercel.app

A good prompt use XML syntax

Isn’t this the recipe of skynet?

I noticed one trend here. If you want to capture the market you need to capture the heart of your users and Google is killing it!

I love this take

This is one of architecture of your next js app should be for building highly scalable AI apps