Chirag Kaushik
108 posts

Chirag Kaushik
@chiraggksh
AI & Web Developer • Building in public • SDE • Open Source Contributor
Присоединился Ekim 2025
101 Подписки13 Подписчики


DSA at 5 AM hits different...!
When the whole world is asleep and you are grinding @striver_79's #atozdsa 🔥
@takeUforward_

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my 2026 track (rn sharing the most imp ones)
- remove all the debt (because of covid) of my family which im super proud of.
- won a global hackathon
- gonna win another global hackathon after 10hrs (hopefully)
will share all the things later after yc sus.
Aditya@AdityaShips
My 2026 is on track
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Day 22 : Done with Sliding window section - one of the best algos when we are working on subarrays or substrings (generally)
Took a week or so as expected. Will start from String and hashing questions tomorrow ;))
#LearningInPublic #DSA

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@chiraggksh I have no such plan for it , will continue it for months
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@chiraggksh It is not bad to do only 1, you keep doing it, you did something, you didn't waste your day, you still gained something in result.
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@Maaztwts built OSAP to stop the constant tab-switching between Slack, GitHub, and Notion.
It uses GLM-5.1 as a reasoning layer to handle multi-step tasks across different apps, with persistent memory (HydraDB) to keep track of your specific workflow habits.
osap.maazx.dev
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Built OSAP in 7 days at the @Zai_org
x AI Valley @cara_catowner #buildwithGLM hackathon.
▨ A programmable AI agent OS that:
• Remembers everything across sessions
• Plans, executes, and self-corrects autonomously
• Learns from every interaction you make.
Powered by GLM 5.1 + Persistent Memory.
This is what I built.
Join the waitlist via the link in the comments - early users will receive free credits.
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Deyum crazyy
Maaz (testnet arc)@Maaztwts
Built OSAP in 7 days at the @Zai_org x AI Valley @cara_catowner #buildwithGLM hackathon. ▨ A programmable AI agent OS that: • Remembers everything across sessions • Plans, executes, and self-corrects autonomously • Learns from every interaction you make. Powered by GLM 5.1 + Persistent Memory. This is what I built. Join the waitlist via the link in the comments - early users will receive free credits.
HT


Update for day 18: learnt how to find number of subarrays by sliding window method...essentially its all about finding the minimum window possible and then just optimising it ;)
also did some quant apti questions. Will try to complete this section by weekend.
#LearningInPublic
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