Yogesh (@yogesharc) 's Twitter Profile
Yogesh

@yogesharc

🌏 Built Remote3.co . Developer, Designer. Currently @zeroichq.

ID: 1152814672577347584

linkhttp://yogesh.co calendar_today21-07-2019 05:36:50

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It worked. Went full Claude code mode today. I’ll deploy it tomorrow after the code review. Going to sleep now ✌️

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Client: Show me a clean design. Me: Better than this? Client: 🀯 People had no fucking idea what the dashboard was. - It was overwhelming and confusing - The charts looked really bad. - The prompt they tracked was in different page. - Sources, and opportunities were in

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I don't understand people taking Magnesium Glycinate to help fall asleep. I have always been able to sleep easily at 3 AM.

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Removed Position tracking from AI SEO/GEO tool. It was very unreliable, even tho I was using gpt 4.1 it could not precisely calculate position of brands. We started with complicated calculation but things are getting simpler as I have better understanding.

Removed Position tracking from AI SEO/GEO tool. It was very unreliable, even tho I was using gpt 4.1 it could not precisely calculate position of brands.

We started with complicated calculation but things are getting simpler as I have better understanding.
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Adding a name column in Teams table because AI keeps adding name in teams query. Might help avoid errors when doing big refactors.

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You can now invite team members Promptmonitor . We also support multi team so you can create or join different teams with same email. Also worked on billing page, but still needs more work.

You can now invite team members <a href="/promptmonitor/">Promptmonitor</a> . We also support multi team so you can create or join different teams with same email.

Also worked on billing page, but still needs more work.
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AI makes you dumb. You delegate thinking to AI, don't learn and memorize. Thinking is hard and your brain wants you to take the easy route. It's so easy to give up and instruct AI to think and do things for you. You can understand code but slowly you start loosing the ability

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Built my own Voice to text app this weekend. Local models, local storage and it's pretty fast. I had over 130k words dictated in the past 2 months. And I wanted everything to be stored locally. Had fun and learned a lot too :)

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Switched to small q5 model from base. not even using the large v3 anymore. This model has like 90% accuracy and similar to base model speed.

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I tried to rebuild my voice to text app with Swift but Claude seems pretty bad it. Anyway got to learn some basics. I’ll try building something different next weekend.