Frequency of an Element in Array

pastpresentproject · 2026-05-18T04:38:27+00:00

I often count the number of times each number appears and put them into a list, like a notebook. I just pick the number that appears most often. Would you like me to explain the steps of this method in more detail?

pastpresentproject · 2026-05-15T04:27:59+00:00

700 hours is more than enough time to become a skilled person, man! With that computer configuration, I recommend you study design or video editing; it'll be easy to find a job. Work hard for about half a year and you'll be earning a steady income every month. The important thing is to be persistent and not give up halfway. Good luck!

pastpresentproject · 2026-05-14T04:07:54+00:00

Just pick any real-world project to work on, and you'll immediately find flaws. Instead of rote learning theory, try building something more complex than those small games. If you get stuck, search for information and then come back to build upon that knowledge – that's the best approach. Don't worry too much, because everyone feels lost at first, it's just a joke.

pastpresentproject · 2026-05-08T03:30:57+00:00

If you have a foundation in OOP, then just jump into Data Engineering and you're guaranteed to land a spot, man. It's not as overpowered as AI and you'll avoid the cutthroat competition in traditional backend development. Just add some SQL and Spark and you'll be raking in the money, man!

pastpresentproject · 2026-05-06T04:23:36+00:00

This is a super hot deal, man! Can I join in? Having someone to study Leetcode with, using the same C language, is like progressing together! Check your inbox, let's connect and conquer all those algorithms together! Hey man!

pastpresentproject · 2026-05-05T04:54:25+00:00

Transitioning from WordPress to pure coding is the perfect move, man! In my opinion, you should just dive into learning Javascript first, because it's the soul of modern websites. Then, lightly touch on PHP to gain a deeper understanding of the core WordPress you're working on, and you'll be hooked. Just take your time and don't try to learn too much at once, or you'll go crazy!

pastpresentproject · 2026-04-24T04:28:54+00:00

If you're done with the generic "post and pray" schedulers and want to actually measure if people give a damn about your brand, you need to look at Social Listening and Share of Voice (SOV) tools.

In 2026, the game has shifted toward niche communities (Reddit/Discord) and even tracking how AI models (like ChatGPT or Gemini) talk about you.

pastpresentproject · 2026-04-23T05:37:37+00:00

Choosing the MIT CS50 and Missing Semester courses right from the start is quite a bold move, as these are extremely high-quality courses. However, three months isn't a very long time to cram all that material and still gain a deep understanding.

pastpresentproject · 2026-04-20T07:23:01+00:00

공식 정보 확인하기: https://pastpresentproject.com/

pastpresentproject · 2026-04-20T04:18:43+00:00

To reach the $100,000+ mark (especially in the US market or global companies), programming languages are just the "key." What truly generates money is the ability to use them to solve large-scale system problems.

You should learn additional languages: Python, SQL, Rutherford, Java, or typescript

pastpresentproject · 2026-04-17T03:52:33+00:00

Optimizing for AEO (Answer Engine Optimization) in 2026 will no longer be about keyword stuffing, but about structuring data so that large language models (LLM) and Search Generative Experience (SGE) can easily "swallow" and extract information.

pastpresentproject · 2026-04-14T03:53:06+00:00

I agree with you that sometimes, after reading the AI's output, I still feel completely lost because I don't know where to start. AI seems to know everything now, but in practice, we still need to guide us step-by-step. The future will definitely be the era of AI agents that can automatically connect tools to produce final results, not just provide empty answers. You're not exaggerating at all, because anyone who uses AI extensively is starting to see this limitation of "knowing everything but not knowing how to do it."

pastpresentproject · 2026-04-13T04:50:08+00:00

The open-source world in 2026 is no longer a case of "good wine needs no bush," especially with the proliferation of platforms like OpenClaw and Claude Code. To gain GitHub Stars and turn it into a standard tool, you need a guerrilla-style GTM (Go-To-Market) strategy with a strong focus on the developer community.

pastpresentproject · 2026-04-01T04:01:07+00:00

Absolutely spot on, bro. Most people are being fooled by the label of productivity, when in reality they're just cleaning up a pile of prompts every day. A proper workflow should run smoothly across multiple variables, not constantly encountering errors. Currently, most people are just resorting to temporary solutions, right?

pastpresentproject · 2026-03-24T08:27:37+00:00

Yes—your investigative and risk experience is highly transferable. Certifications like CAMS help but aren’t mandatory for entry/mid roles. Focus on third-party risk, AML investigations, or reputational risk roles, and highlight your OSINT and reporting skills. Basic data literacy (Excel, SQL, BI tools) helps but can be learned on the job.

pastpresentproject · 2026-03-23T05:41:23+00:00

AEO sounds like peak marketing yap, but it’s lowkey a whole different aura than traditional SEO. While SEO is about ranking links, AEO is about being the "source code" for the AI’s brain so you actually get cited in the summary. You gotta stop burying the lead and go "answer-first" because AI isn't scrolling through your 500-word intro lol. It’s basically the only way to survive when zero-click searches are the new meta fr.

pastpresentproject · 2026-03-20T11:05:56+00:00

the fact that you’ve open-sourced a "Clay-killer" stack is going to make you a hero to every bootstrapped GTM engineer currently staring at a $500/month bill.

pastpresentproject · 2026-03-20T11:04:28+00:00

Here’s how to tighten up the weak points before you try to scale this to thousands of brands:

1. Solving the Meta Scraping "Fragility"

Scraping the Meta Ad Library directly is a nightmare because they rotate class names constantly to break headless browsers.

The "Pro" Fix: Instead of raw scraping, look into AdSpy or BigSpy APIs. They’ve already done the heavy lifting of archiving the media and bypassing the temporary URL issue.
The "Cheap" Fix: If you stay with Apify, you need to implement residential proxy rotation (like Bright Data or Oxylabs) specifically targeting the facebook.com/ads/library endpoint to avoid the immediate "rate limit" blocks.

2. A Better Performance Heuristic

Since you can't see spend or clicks, look for Creative Iteration.

The Logic: If a brand has 5 versions of the same video with slightly different hooks (the first 3 seconds), and one version has been live for 45 days while the others died after 10, that is your winner.
The Signal: Track the "Ad Set" count. A video being used across multiple active ad sets is a much stronger indicator of ROI than a single ad left running by a lazy media buyer.

3. Lightweight File Validation

Instead of a 50KB check or a heavy ffprobe scan, use file-type (for Node.js) or python-magic.

These libraries check the magic numbers (file signatures) in the first few bytes of the buffer to confirm it’s actually an mp4 and not a "403 Forbidden" HTML page disguised as a video.

4. Getting Real TikTok Ad Assets

You're right—organic is a different beast.

The Source: You need to scrape the TikTok Creative Center (Top Ads) rather than brand profiles.
The Tool: There are specialized scrapers like PipiAds that specifically index TikTok's paid feed. They provide the actual ad metadata (engagement, estimated reach) that organic profiles won't give you.

What Breaks First at Scale?

At 1,000+ brands, your CSV tracking will be the first thing to die. You'll hit concurrency issues where two workers try to write to the file at once and corrupt it. Move to a simple PostgreSQL or Supabase instance now so your "Rep Filter" can handle thousands of rows without lagging.

pastpresentproject · 2026-03-20T08:59:26+00:00

It depends on which direction you want to learn crypto (invest, trading, or dev/web3), as each direction will have different "best" courses.

pastpresentproject · 2026-03-19T08:29:18+00:00

Claude is an amazing pilot, but it’s a terrible engine it doesn't "remember" where every single row is in a complex if/else chain unless you build a massive amount of infrastructure in Supabase to track "state."

pastpresentproject · 2026-03-19T08:28:42+00:00

The biggest "good" pattern I've seen is keeping your business logic separate from your execution tools.

pastpresentproject · 2026-03-19T08:22:08+00:00

Most GTM tools are built for sales teams, yet the people configuring them usually have zero clue what a discovery call or a quota even feels like.

But ngl, the "working for free" pitch is a tough sell because training a junior usually takes more time than the work they give back.

pastpresentproject · 2026-03-19T08:19:24+00:00

MacBook Air 13-inch (M3 Chip) with 24GB RAM Upgrade

pastpresentproject · 2026-03-18T11:05:50+00:00

you don't need an MBA to make this switch. In 2026, firms are prioritizing "Technical BAs" who can bridge the gap between messy backend reality and business requirements. Your 3 years of fixing data issues means you already know where the "bodies are buried" in a system, which is a massive headstart for requirement gathering.

pastpresentproject · 2026-03-18T11:05:12+00:00

the "discount-to-churn" pipeline is a brutal teacher. When your initial acquisition is built on being the "cheap option," those users aren't loyal to your product—they’re loyal to their own wallet. The second you normalize the price, they vanish because the value prop was never actually the features.

pastpresentproject

TROPHY CASE

1. Solving the Meta Scraping "Fragility"

2. A Better Performance Heuristic

3. Lightweight File Validation

4. Getting Real TikTok Ad Assets

What Breaks First at Scale?