Abdul Ghani

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Abdul Ghani

Abdul Ghani

@abdulghanitech

Passionate Software Engineer✨Founding Engineer at Volteo Maritime 🚢 building @MagicInviteIn CS @iiit_hyderabad

Katılım Kasım 2011
1.9K Takip Edilen1K Takipçiler
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
Congrats on having fun and building a vibe coded WYSIWYG editor Patiently waiting for when they’ll realize things like permissions, tagging, backups+disaster recovery, search, exports, tables, mobile app, integrations w Slack+Linear+others need to be built… 🍿
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Mohammed Zubair
Mohammed Zubair@zoo_bear·
Alt News is ₹10 lakh short of breaking even this financial year. We need 2,000 people to donate ₹500 each before March 31. That's 6 days. Fighting misinformation isn't like putting out a fire. There's no moment when it's done. It's a fact-check every morning, a verification every afternoon, documentation of hate speech that nobody else is recording - day after day, year after year, for nine years. We don't take ads. We don't have sponsors. We have readers. Donate before March 31! pages.razorpay.com/altnews If not you, who? If not now, when?
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Deccan Daily
Deccan Daily@DailyDeccan·
Masab Tank, Hyderabad: Residents staged protests after LPG cylinders were marked “delivered” but never reached homes. Angry locals questioned the supply system, demanding accountability over false delivery updates and prolonged delays. #Hyderabad #telangana #gascrisis
Deccan Daily@DailyDeccan

After waiting for days for a gas cylinder in Masab Tank, frustration among residents has boiled over. People expressed anger as supplies remain delayed. #Hyderabad #IranWar#nogas

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PunsterX
PunsterX@PunsterX·
Aditya Dhar made 2x4 hours long movie to promote BJP. But bro busted the whole propaganda in a 42 seconds video. 😭
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Maheshwer Peri
Maheshwer Peri@maheshperi·
@AdityaDharFilms lacks integrity. He conflated timelines and events for propaganda to support demonetisation, UP elections and make @yadavakhilesh look like a Pakistani puppet…Here are some timelines..
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Lydia Hallie ✨
Lydia Hallie ✨@lydiahallie·
If you're building a read-only tool with the Claude Agent SDK, make sure to mark it with `readOnlyHint: true` This tells Claude Code it has no side effects and is safe to parallelize. Otherwise no other tool can run alongside it, essentially creating a "serializing barrier"!
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Md Ismail Šojal 🕷️
GLM-OCR, 0.9B model that beats Gemini on OCR benchmarks.💀 It's a 0.9B param vision-language model. supports 8K resolution, 8+ languages, and has built-in text, LaTeX, and table recognition modes. demo's - github.com/zai-org/GLM-OCR
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Min Choi
Min Choi@minchoi·
Holy smokes... Google Drive's doc scanner is wild. > multi-page real-time scanning > auto/continuous capture > duplicate page detection > redesigned beta UI Doc scanning will never be the same... 🤯
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Tuki
Tuki@TukiFromKL·
🚨 Do you understand what this man just pulled off.. > a guy from North Carolina used AI to generate hundreds of thousands of songs.. uploaded them to Spotify, Apple Music, Amazon.. then botted billions of streams on his own tracks and walked away with $8 million > 660,000 fake streams per day.. spread across thousands of AI songs so nobody noticed.. $1.2 million a year.. for music no human ever actually listened to real artists are out here grinding for 0.003 cents per stream.. promoting on TikTok.. begging for playlist placements.. and this guy just had AI make the music AND the audience first-ever criminal streaming fraud case.. he's paying back $8 million.. but the playbook is out there now.. and AI just got better since he started the music industry spent 10 years fighting piracy.. now they have to fight songs that don't exist being listened to by people who don't exist.
FearBuck@FearedBuck

The first criminal case of streaming fraud where a North Carolina musician who used AI to make songs, then streamed them billions of times himself making $8 million

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Oliver Prompts
Oliver Prompts@oliviscusAI·
someone built a web-based System Design Simulator. you drag and drop components (api gateways, dbs, caches) and it actually simulates real-time traffic. you can watch latency, bottlenecks, and failures happen live...
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Arpit Bhayani
Arpit Bhayani@arpit_bhayani·
One way to avoid getting overwhelmed when you are designing a system is to approach it with a structure/mental model. Here's a simple one I follow... Think of any system as having 2 separate paths: a read path and a write path. Your database or storage layer sits at the center, and each path has its own set of problems and its own toolkit to solve them. The write path is about durability and throughput. You are almost always choosing from the same set of levers: a message queue to absorb bursts, write-ahead logging for durability, batching to reduce I/O, and async processing to keep the critical path thin. The read path is about latency and scale. Again, a fixed toolkit - caching at various layers (CDN, app-level, query-level), read replicas to offload the primary, denormalizing or pre-computing expensive queries, and pagination or cursor-based traversal to avoid full scans. Once you start seeing these as two separate concerns, you stop designing a system and start answering two smaller questions: what does the write path need? What does the read path need? Then you wire them together through storage. This 'framework' (if I can call it that) is not just useful during discussions, but also helps you reason through production systems, especially when you are building an understanding, trying to optimize an existing flow, debugging latency spikes, or planning for scale. Hope this helps.
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Yogini Bende
Yogini Bende@hey_yogini·
Vibe coding is creating overconfident engineers. (a rant) We used to debate architecture. Tradeoffs. Patterns. We had opinions about systems, if not, we used to study them. Now we read the AI output, it looks reasonable, we ship it. Without even thinking of other options. We are losing the habit of even asking the question. System thinking is a muscle. And muscles atrophy. There is a difference between an engineer who uses AI and an engineer who has outsourced their thinking to it. Most of us cannot tell which one we have become!
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Swapnil Kommawar
Swapnil Kommawar@KommawarSwapnil·
Companies should allow WFH in cities like Bangalore, Hyderabad and Mumbai. If someone’s job can be done online, forcing daily office travel doesn’t make much sense. In many cities, people spend hours just commuting. By the time they reach the office, a big part of their energy is already gone. And the situation in major cities is quite different: Bangalore → traffic is extremely severe Mumbai → heavy traffic almost every day Hyderabad → traffic exists, but generally a bit better than Bangalore.
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Live Law
Live Law@LiveLawIndia·
The Allahabad High Court recently rejected the Uttar Pradesh administration's decision restricting the number of persons offering Namaz during Ramzan at a mosque in Sambhal district, observing that maintaining law and order is the responsibility of the State. Read more: bitl.to/5lh5 #AllahabadHighCourt #Namaz
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Marc Backes
Marc Backes@marcba·
Son of a bitch, it worked! 🥳 - Bun backend with Vue-powered reactivity - Controlling a synchronized routine 1000 phone screens - Sync corrected for system time offset with NTP It worked better than I would have ever imagined. Thanks for everything supporting me on this talk ❤️
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Nishkarsh
Nishkarsh@contextkingceo·
We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️
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PlanetScale
PlanetScale@PlanetScale·
Postgres has a problem: connections. PgBouncer is the solution, but it's not so simple. We've got the guide for how to optimize your connections for any database size.
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