Trending Feed
12 posts loaded

Kuchli test saytlari 1. https://cznull.github.io/volumeshader.html 2. https://cznull.github.io Ancha muncha telefonni sinovda qiynab qoyadigan ikkita sayt: github cz null Faqat ehtiyot bolasiz, kuchsiz telefonlarga tavsiya erilmaydi #Test #galaxy #iphone #ios #android #apple #uz #uzb #andijon #telefon #rek #tashkent #galaxy #samsung

This GitHub Hack is Wild 🤯 Follow @rammcodes_ for more 💎 #html #ai #javascript #coding #webdevelopment

🚀 Using Claude the RIGHT way (99% don’t know this) If you’re not doing these 3 things… you’re missing everything 👇 1️⃣ Turn ON memory → so Claude actually learns YOU 2️⃣ Use GitHub “Blade Humanizer” → make responses sound human, not robotic 3️⃣ Learn how to talk to Claude → prompts = everything Most people just type random stuff and hope for magic… That’s why they stay average 😴 Use this properly and you’ll unlock insane results ⚡

Comment "GitHub" to get the guide! #github #coding #computerscience #skills #founder [ Github , Customize your GitHub Profile , Coding , Git , Computer Science , CS student ]

Github ka Trick💀 . . {github, tricks, technology, ai, mcp, coding, developer, software, reel, trending, anwar current} . . #technology #coding #programming #ai #github

Claude doesn’t “run out” because you sent too many messages. You hit the limit because of the tokens you’ve spent. Here’s how to use less and get more. 1️⃣ Edit, don’t follow up Click the pencil icon and rewrite your message. Claude regenerates as if the bad response never happened. Every follow-up forces Claude to re-read the entire thread. By message 10, you’re paying for messages 1-9 all over again. 2️⃣ Start fresh every 15-20 messages Message 1 costs a few hundred tokens. Message 30 costs 40,000+. Ask Claude to summarise, copy it, open a new chat, paste it in, keep going. 3️⃣ Batch your questions Three messages = three context loads. One message with three questions = one. List everything as bullets. 4️⃣ Pick the right model Opus burns quota 3-5x faster than Sonnet. Use Sonnet for everyday tasks. Save Opus for deep reasoning. Switch using the selector at the bottom of the chat. 5️⃣ Upload files to Projects Same PDF across multiple chats = re-counted tokens every time. Projects cache files so they’re processed once and reused cheaply. 6️⃣ Set up Memory and Preferences Settings > Profile. Store your role, context, style rules. Claude carries it into every chat so you skip the warmup. 7️⃣ Be specific first message “Help me write a blog post” = back-and-forth. “500 words about X for Y audience in Z tone” = usable draft in one shot. 8️⃣ Turn off unused tools Web search, code execution, and connected apps burn tokens behind the scenes. If you don’t need them, switch them off. 9️⃣ Edit code locally Download generated code. Edit on your machine. Paste back only what you need help with. Way cheaper than iterating in chat. 🔟 Time your heavy work Peak hours (US business hours) have tighter limits. Evenings and weekends give you more headroom. Follow @braith.mp4 if you wanna get cracked at using Claude as a non-technical mf 🫡

This is why I throw multiple tools at a target. In NahamSec’s SQLi lab, both Ghauri and SQLmap found the vuln—but only SQLmap dumped the DB entry containing the flag. Maybe I fumbled Ghauri, maybe not. Point is: never hurts to double check 👓

Running #ClaudeCode locally on #Android. No cloud. Installed on #Termux, running through #Ollama. Fully on-device workflow. Ollama acts as the local engine serving models, while Claude Code runs as the agent in the terminal, connected through an Anthropic-compatible API layer.  Setup is simple but clean: – ollama serve running in background – local model pulled (qwen / glm / similar) – Claude Code installed via CLI No API key required. No external calls. Everything stays local. Claude Code can read, modify and execute code directly in the working directory, turning the terminal into a real agentic dev environment.  This is not a demo. This is a fully local #AI coding stack running on a smartphone.

There is a free GitHub plugin that beats hiring a real CEO. AI moves too fast and leaves you feeling stuck. But you do not need to learn hard code. You just need Claude Code and a tool called Agents. Over 33,000 people use it. Anthropic built the brain. Python runs the script. You just turn it on. It builds a full AI company that works for you. Take a breath and let AI do the hard work. #GitHub #Claude #ClaudeCode #Agents #Anthropic #Python
Top Creators
Most active in #cznull-github-test
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #cznull-github-test ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #cznull-github-test. Integrated usage of #cznull-github-test with strategic Reels tags like #cznull github ios test and #testing is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #cznull-github-test
Expert Review • June 5, 2026 • Based on 12 Reels
Executive Overview
#cznull-github-test is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 9,120,330 views— demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @braith.mp4 with 3,890,117 total views. The hashtag's semantic network includes 19 related keywords such as #cznull github ios test, #testing, #tested, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 9,120,330 views, translating to an average of 760,028 views per reel. This exceptionally high average viewership indicates that content in this hashtag frequently hits the Explore page or Reels tab, driving massive exposure beyond the creator's immediate follower base.
The highest-performing reel in this dataset received 3,890,117 views. This viral outlier performance is 512% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #cznull-github-test ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @braith.mp4, has contributed 1 reel with a total viewership of 3,890,117. The top three creators — @braith.mp4, @udaysharmaaaaa, and @sanidhya.ai — together account for 88.1% of the total views in this dataset. The semantic network of #cznull-github-test extends across 19 related hashtags, including #cznull github ios test, #testing, #tested, #cznull. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #cznull-github-test indicate an active content ecosystem. The average of 760,028 views per reel demonstrates consistent audience reach. For creators using #cznull-github-test, high-quality production and strong hooks in the first 1-2 seconds tend to perform best given the competition.
Analyst Verdict
#cznull-github-test demonstrates the hallmarks of a well-performing Instagram hashtag. With an average of 760,028 views per reel, the viewership metrics position this hashtag as a premium discovery vehicle. Creators like @braith.mp4 and @udaysharmaaaaa are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #cznull-github-test on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.














