i earned $20000.00 since jan18, i dont know how. But i love this easy 💴
i want financial freedom, full financial control atleast.
since this July, i was trying to learn build to build real product.
following @pranvtwt and their products update😇
I also tried.
what i tried?
- reddit
- LinkedIn
- instagram
- X
trying to build but in meantime earned more than $20000.00
raw experience
started building Momentum, https://t.co/G5H37B6Flg, some productivity tool
building is possible with AI but only friction is the starting point.
publishing apps on App Store, Play store seems fascinating first but its real game
i have idea but honestly i am trying to execute all of them at once
past few months i am seriously trying to get this done, but failed. Not failed, something definitely working for me.
stay with me
day52
look deeper in the rag implementation
how rag is search mechanism plus llm generation
how search mechanics worked, how embedding generate vector representation plus how vector db store the vector space
how this vector space is used for similarity search or maximum marginal relevance
That for the day🤘🏻
day53
didn’t learn anything today and felt bad
Apart from that, I learned about
introduction to the rubrics,
how edge terminal benchmarking works,
how harbor, harness, terminal operates .
love it
what about me?
having 10 lakh Indian money as runway,
i need to act fucking hard to get at a position to choose indie developer fulltime.
very soon i would share this same on X
This friday is my last day of work.
I'm going full time indie dev.
I've got ~£100k in savings.
• This is many years of runway in SEA.
• Doing ~$3-4k/m from my income streams.
The first stop is Vietnam 🇻🇳
Then, I'm thinking Cyprus long term 🇨🇾
I decided to go all in abt a year ago.
Sharing the journey on x for ~5 months now.
It's been an incredible journey so far.
But not been easy, I've drifted apart from friends, been stressed and anxious, pushed myself to my limits. But it's the right decision.
I've met so many amazing people here, and created a new life for myself, financial freedom. It's all been worth it.
We're just getting started 🫡
day53
didn’t learn anything today and felt bad
Apart from that, I learned about
introduction to the rubrics,
how edge terminal benchmarking works,
how harbor, harness, terminal operates .
day 54
today I learned about the
- agentic knowledgebase
- BM25 and vectorstore RAG
- Hybrid RAG
- Metadata Aware rag
- its implementation
stay for upcoming project I will delivered
day 54
today I learned about the
- agentic knowledgebase
- BM25 and vectorstore RAG
- Hybrid RAG
- Metadata Aware rag
- its implementation
stay for upcoming project I will delivered
day 55
Today i dig into Langgraph deeper.
I study how
- internal and external schema works
- how state are updated
- use of reducer to prevent replacement
- use of MessageState helps
- how checkpoints, threads, super-steps, snapshots correlated for time travel and replay
day 55
Today i dig into Langgraph deeper.
I study how
- internal and external schema works
- how state are updated
- use of reducer to prevent replacement
- use of MessageState helps
- how checkpoints, threads, super-steps, snapshots correlated for time travel and replay
day 56
I was having my test so majorly i did coding.
Implemented the code, tools, node, building graph and also later displaying it in ascii format.
Running the agent against the test cases.
day 56
I was having my test so majorly i did coding.
Implemented the code, tools, node, building graph and also later displaying it in ascii format.
Running the agent against the test cases.
day 57
today i learned about
- implemendation of persistence,
- streaming responses
- add chat threading using langgraph
- building permanent chat persistence using sqlite
- monitor agentic chatbot using langsmith
- integration of tools in agentic chatbot
- rag implementation
day 57
today i learned about
- implemendation of persistence,
- streaming responses
- add chat threading using langgraph
- building permanent chat persistence using sqlite
- monitor agentic chatbot using langsmith
- integration of tools in agentic chatbot
- rag implementation
day 60: preparing agentic ai to resign before got laidoffffff
till now I learn:
python,
python for datascience,
fastapi,
microservices
langchain
ai pair programming 😂
right now
[ langgraph ]--->
langgraph, persistence, multi-agent workflow,
day 60: preparing agentic ai to resign before got laidoffffff
till now I learn:
python,
python for datascience,
fastapi,
microservices
langchain
ai pair programming 😂
right now
[ langgraph ]--->
langgraph, persistence, multi-agent workflow,