Skip to main content

Agar dobara shuru karna parta, toh kya karta?

Yeh sawaal mujhse pehle bhi pucha gaya hai. Aur honestly, ab mere paas ek clear jawab hai.

Seedhi baat karta hun.

Pehli cheez — clarity. Akele Baith jaunga. Aur khud se yeh teen sawaal puchhunga:

Main kya seekhna chahta hun? Kyun? Aur kab tak?

Simple lagta hai. Lekin zyada tar log yahan skip kar dete hain. Aur phir woh confusion aati hai jo kabhi khatam nahi hoti.

Meri apni example deta hun. Flutter seekhna chahta hun — kyun? Apni app banana, usse monetize karna. Premium sell karna ya subscription lena. Kab tak? Ek saal. 365 din. Aur goal? 200 ya 1000 users.

Bas. Itna hi kafi hai shuru karne ke liye. Warna kaam karte raho aur pata hi nahi kab success hai aur kab failure.


Phir requirements dekhta. Flutter ke liye kya chahiye? Flutter khud. App development. Product marketing.

Toh Flutter sikhna shuru karta. Pehle 2-3 lambi videos — sirf flow samajhne ke liye. Widgets kya hain, cheezein kaise connect hoti hain. Yaad karne ke liye nahi — bas ek mental map. Phir 2-4 simple projects. Tab tak jab tak basic flow clear na ho jaye.

Phir seedha apni app par kaam shuru kar deta.

Problem woh choose karta jo main khud face karta hun. Kyunke agar main khud us problem ko feel karta hun — toh kam se kam itna toh pata hai ke problem real hai. Aur doosre bhi zaroor face karte honge. Yahi basic validation hai.

Aur phir — sath sath seekhta rehta. Jo cheez us waqt chahiye hoti, woh seekhta. Puri list pehle yaad nahi karunga. Woh trap hai.


Ab yahan ek cheez hai — jo mujhe pehle kisi ne nahi batai.

Ek point aata hai — har kisi ke saath — jab kaam boring lagta hai. Ya mushkil lagta hai. Ya lagta hai yaar, yeh mere bas ka nahi. Koi na koi bahana banta hai aur cheez choot jaati hai.

Main pehle yahan ruk jaata tha. Cheez chhor deta tha. Nayi cheez dhoondta tha. Aur phir wahi cycle dobara.

Ab main jaanta hun — yeh moment actually sabse important hota hai. Yahan rukna nahi hai. Yahan adjust karna hai. Apna process theek karna hai. Aur aage badhna hai.

Isi liye main us poore saal consistent rahunga — chahe results aayen ya na aayen. Aur is consistency ko banaye rakhne ke liye main kitabein zaror parunga. Woh jo us waqt zaroori hon.

Consistency ka masla tha mujhe bhi. Ek kitab pari — aur woh masla hal hua. Aaj 200-300 din ho gaye hain ek kaam karte hue. Kabhi kabhi low feel hota hai. Lekin us kitab se jo seekha, woh yaad aata hai aur main dobara sahi kaam karna shuru kar deta hun.

Product development ke hawalay se ek zaroori concept hai — emotional design. Yeh bhi kitab se seekha. Brand positioning kya hogi, audience kaun hogi, khud ko web par kaise present karna hai — yeh sab bhi. Kyunke aaj ke daur mein agar aap web par nahi ho — toh practically exist nahi karte.

Main perfectly implement nahi kar paya inhe. Aur woh goal bhi nahi tha. Goal tha — samajhna, apply karna, aur improve karte rehna. Yahi growth hai.


Toh yeh hai mera jawab:

Pehle clarity — kya, kyun, kab tak. Phir ek saal ki commitment. Phir kaam — sath sath seekhte hue. Aur woh kitabein jo us waqt zaroori hon.

Baki sab apne aap clear hota jaata hai.

Comments

Popular posts from this blog

Earning after the advent of AI, the 3 paths and things that matter

I have received this question more times than I can count. Are jobs gone? Is AI taking over everything? Why are internships not coming through? What do I do with my degree or my skill? Here is my honest answer — not a motivational one. AI has made things easier, and harder at the same time. Because AI can now do multiple things, the person who knows how to get the right things done from AI is preferred over the one who does not. That is the new baseline. Learn the basics of AI regardless of which path you choose — not to become an AI engineer, but to use it well in whatever you are doing. Beyond that, I see three paths. Each one has its own direction. The mistake most people make is not choosing one and going deep on it. Path 1: Build a Personal Product This is the path I am on. I will be honest about where my experience ends. Start by finding a problem — ideally one you personally face. That is your built-in validation. If you have the problem, others likely do too....

A user found the bug I should have caught myself

I was collecting user feedback on Iqra a few weeks ago. One of the users pointed out a bug. A section of the app was not working correctly. I knew the section. I had made changes to it recently — and shipped them directly to production without running through my usual testing flow. A user told me about the bug. Not my emulator. Not my test release. A user. I fixed the bug, made a few more improvements, added some things to the app. When I finally sat down to build the test release properly, this came back to me. So here it is — written down, for anyone building a product right now. The flow that actually protects you Every change, no matter how small, goes through three stages before it reaches your users. First, test on the emulator. Catch the obvious breaks early, before anything leaves your machine. Second, publish a test release and run it on a real device. The emulator lies sometimes — screen sizes behave differently, performance feels different, interactions that ...

How an AI Student is Earning from LinkedIn — and What I Learned from a 17-Minute Call

A few days ago I saw a post on Facebook. Someone sharing that he had started learning AI, done some projects, and was now earning from it. I asked him how. He said he got a client through LinkedIn. I asked him to elaborate. He said let's talk. Seventeen minutes on WhatsApp. That was the whole conversation. But it connected more dots than months of reading about "the opportunity in AI." The problem with how most people learn AI AI is a wide field. Machine learning. Deep learning. Model development. Model deployment. Data analysis. Data analytics. Automation. Most people learning AI are aware of all of these — and that awareness becomes the problem. They keep exploring, keep switching, keep adding things to the list. A year passes and they are still learning. He told me something simple: to stand out and to get clients, you have to focus on one thing. His one thing is RAG — Retrieval Augmented Generation. Not AI in general. Not even a broad category within AI...