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I stopped doing my weekly competitor research manually. I gave Qoder one recurring task: → Track Cursor, Windsurf & GitHub Copilot → Check official updates, X, Reddit & Product Hunt → Find the week’s important releases, news & partnerships → Turn it all into a structured report and save... show more

Kalsoom (ghotai )

51,049 subscribers

118,728 просмотров • 10 дней назад •via X (Twitter)

Образование Наука и технологии

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Комментарии: 18

Фото профиля Kalsoom (ghotai )

Kalsoom (ghotai )10 дней назад

Try Qoder free with 600 Credits 👇 300 from the Pro trial + 300 with my code 9797YB.

Фото профиля Patrick's AIBuzzNews

Patrick's AIBuzzNews10 дней назад

That's the smarter and more efficent way.

Фото профиля Shah

Shah10 дней назад

This a really smart setup

Фото профиля Fakhr

Fakhr10 дней назад

600 credits plus Qwen 3.8 Flash at 0.0x Credits makes this worth testing.

Фото профиля NOVA

NOVA10 дней назад

This is the kind of repetitive research task AI should take off your plate

Фото профиля AIMATRIX

AIMATRIX10 дней назад

The research → analysis → report workflow is the part that really caught my attention. Huge time saver.

Фото профиля Hussain Hashim | Building SundayBack

Hussain Hashim | Building SundayBack10 дней назад

@AIwithGhotai nice! Make sure to set an alert for industry events too. Sometimes that's where the big news drops.

Фото профиля Jimmy

Jimmy10 дней назад

Research → analysis → report, all handled by one workflow. That’s the goal

Фото профиля Abdul Sarfraj

Abdul Sarfraj10 дней назад

This is a great example of using AI for actual workflow automation, not just content generation

Фото профиля Ujala Pandey

Ujala Pandey10 дней назад

The structured report at the end is what makes this workflow really practical

Фото профиля David Marco

David Marco10 дней назад

The combination of X, Reddit, Product Hunt, and official sources makes this much more useful than basic web search

Фото профиля Vikas gupta

Vikas gupta10 дней назад

The weekly competitor research alone can eat up so much time. Automating the whole loop makes a lot of sense

Фото профиля Sachin Malik

Sachin Malik10 дней назад

Competitor monitoring is perfect for this kind of recurring AI workflow

Фото профиля Rohit

Rohit10 дней назад

Recurring research tasks are one of the most underrated AI automation use cases

Фото профиля Rachel Woods

Rachel Woods10 дней назад

I like that this goes beyond just collecting links. It researches, analyzes, and turns everything into a report

Фото профиля EDDY VU

EDDY VU10 дней назад

Tracking Reddit and X usually pulls in tons of noise, how clean is the signal you get back?

Фото профиля Lily

Lily10 дней назад

The “set it once” part is exactly what makes workflows like this valuable

Фото профиля JOYA

JOYA10 дней назад

Tracking official updates + X + Reddit + Product Hunt in one workflow is seriously useful

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Competitor tracking is one of those tasks that's easy to skip because it's slow. I tested automating it with Qoder. The goal was simple: every week, research what changed across competitors and produce a report I could actually review. Qoder planned the research, checked public updates, ran tasks in parallel, and compiled everything into a structured Markdown report with sources and caveats where evidence was limited. The workflow went from manual to: schedule → research → verify → analyze → report. I also ran Qwen3.8-Flash on it, which is showing 0.0x Credits through September 30. Qoder has a 14-day Pro trial with 300 Credits. Sign up before downloading through this link and you get another 300 — 600 Credits total: The interesting part isn't just the research. It's having an AI agent turn a recurring task into a finished artifact automatically.

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188,759 просмотров • 13 дней назад

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62,676 просмотров • 12 дней назад

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170,120 просмотров • 2 месяцев назад

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monokern

188,949 просмотров • 4 месяцев назад

15 AI tools researched, ranked, and turned into X-ready content in ~2 minutes. I gave Viktor one job: Find the best new AI tools for our audience, research them, rank the top 3, and turn the research into X-ready content. In about 2 minutes, Viktor ran 24 targeted searches, researched 15 tools, cross-checked pricing, scored the options, built the comparison, and produced the final post. My first attempt didn't work. The workflow stalled before Viktor could connect the research and content steps. Then I adjusted the task, and that's when things clicked. What surprised me wasn't that he could research. It was how much of the workflow he could actually handle. Research. Compare. Prioritize. Create. Instead of jumping between tabs, collecting information, comparing tools, and turning research into content manually, Viktor handled the workflow in one place. That's the part I think people miss about AI employees. The value isn't another chatbot that gives you an answer. It's having an AI teammate that can take on real work and fit into the way your team already operates. Viktor works inside Slack and Microsoft Teams and connects to 3,200+ tools. A copilot helps you work. An AI employee works when you don't. I think this is where AI employees get genuinely interesting: the question isn't whether they can answer you, but whether you can trust them with actual work. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AITeams Paid Partnership

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Marry Evan

30,072 просмотров • 1 месяц назад

I'm excited to introduce my FREE AI Pandas Data Analyst Copilot which created a data analysis report with dozens of charts from my questions in under 30 seconds. Today, I'll share with you how to automate data analysis with my Pandas AI Agent + Copilot, which is available on GitHub. I'll guide you through setting up the Copilot app, creating dozens of data analysis charts from any CSV or Excel file, and interacting with your data live. This AI is a BIG help! Table of Contents: 00:00 Introduction to the App 02:24 Setting Up the App 04:25 Using the App 08:58 Understanding the Python Code Github to AI Data Science Team (app is in the apps folder): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: === Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, April 9th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (500 Seats):

I'm excited to introduce my FREE AI Pandas Data Analyst Copilot which created a data analysis report with dozens of charts from my questions in under 30 seconds. Today, I'll share with you how to automate data analysis with my Pandas AI Agent + Copilot, which is available on GitHub. I'll guide you through setting up the Copilot app, creating dozens of data analysis charts from any CSV or Excel file, and interacting with your data live. This AI is a BIG help! Table of Contents: 00:00 Introduction to the App 02:24 Setting Up the App 04:25 Using the App 08:58 Understanding the Python Code Github to AI Data Science Team (app is in the apps folder): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: === Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, April 9th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (500 Seats):

Matt Dancho (Business Science)

12,736 просмотров • 1 год назад

$I just realized I've been scheduling my biggest AI jobs at the worst possible time, and it was costing me up to 80% more than it needed to. Qoder now runs Qwen3.7-Max and Qwen3.7-Plus with off-peak rates, which means the same models cost significantly less during the off-peak window. here's what changed: • Qwen3.7-Max: 0.5x → 0.1x (up to 80% off) • Qwen3.7-Plus: 0.1x → 0.04x (60% off) the model doesn't change. the reasoning doesn't change. the context length doesn't change. only the credit multiplier does. and the best part? the off-peak rates are applied automatically. no configuration needed. so instead of launching long refactors, migrations, agent runs, or large code generation whenever I think about them... I simply queue them during my off-peak window ( to local time) and let the same flagship Qwen model do the work for a fraction of the usual cost. that's probably the easiest productivity upgrade I've made this month. switch to Qwen3.7-Max or Qwen3.7-Plus in Qoder during your local off-peak hours and compare the credits before and after. search "Google Qoder" or download it here:$

I just realized I've been scheduling my biggest AI jobs at the worst possible time, and it was costing me up to 80% more than it needed to. Qoder now runs Qwen3.7-Max and Qwen3.7-Plus with off-peak rates, which means the same models cost significantly less during the off-peak window. here's what changed: • Qwen3.7-Max: 0.5x → 0.1x (up to 80% off) • Qwen3.7-Plus: 0.1x → 0.04x (60% off) the model doesn't change. the reasoning doesn't change. the context length doesn't change. only the credit multiplier does. and the best part? the off-peak rates are applied automatically. no configuration needed. so instead of launching long refactors, migrations, agent runs, or large code generation whenever I think about them... I simply queue them during my off-peak window ( to local time) and let the same flagship Qwen model do the work for a fraction of the usual cost. that's probably the easiest productivity upgrade I've made this month. switch to Qwen3.7-Max or Qwen3.7-Plus in Qoder during your local off-peak hours and compare the credits before and after. search "Google Qoder" or download it here:

marcus

24,620 просмотров • 3 месяцев назад

Is Windsurf better than Cursor? impossible to say, but... it does one thing better: soooo... I spent an hour testing windsurf... and this is what i created... and app called "boop-boop" lol... one thing windsurf does is it searches the internet. If you've been watching my videos you know that i go to perplexity all the time to get code examples and docs. but with windsurf you can just say, "search the replicate top image gen models and add them to the chat we just created" It will search the internet, find the right model then write the code. This is great for replicate and openrouter. You can have one api key in your .env file then just tell windsurf to search for docs for [insert ai model] and it will just add it to your app. Impressed tbh.

Is Windsurf better than Cursor? impossible to say, but... it does one thing better: soooo... I spent an hour testing windsurf... and this is what i created... and app called "boop-boop" lol... one thing windsurf does is it searches the internet. If you've been watching my videos you know that i go to perplexity all the time to get code examples and docs. but with windsurf you can just say, "search the replicate top image gen models and add them to the chat we just created" It will search the internet, find the right model then write the code. This is great for replicate and openrouter. You can have one api key in your .env file then just tell windsurf to search for docs for [insert ai model] and it will just add it to your app. Impressed tbh.

Riley Brown

31,043 просмотров • 1 год назад

This is how Opus 5.5 in Claude Code built a WoW-style game in 36h. There's a lot more to it than one prompt. I wrote a detailed spec, gave it access to Unity, Blender and Higgsfield, and packed my own workflow into skills. I go through all of it in the video:

This is how Opus 5.5 in Claude Code built a WoW-style game in 36h. There's a lot more to it than one prompt. I wrote a detailed spec, gave it access to Unity, Blender and Higgsfield, and packed my own workflow into skills. I go through all of it in the video:

Stefan 3D AI

28,628 просмотров • 7 дней назад

Better Cursor alternative? I've been playing with the new AI IDE Windsurf launched by Codeium past few days, and the result was impressive, particularly: 1. Code base understanding: One thing Windsurf did really well is its understanding of the whole code base & dependencies; This led to a big difference in terms of final code quality 2. Context aware: It actually knows everything I did in the editor, e.g. it automatically knows code edits I made without me prompt it; 3. Reflection: I noticed Windsurf has been finetuned to reflect and try to iterate/improve code it generated autonomously; This was a magic moment for me .... I shared key highlights i had and showcase my process of building a PDF converter product using windsurf 0:00 Platform overview 6:21 How does context aware engine works 10:45 Case study: Build PDF converter Sass ---- If you have any further question or want to get deep dive into more AI coding, you can join my community where I post tips weekly:

Better Cursor alternative? I've been playing with the new AI IDE Windsurf launched by Codeium past few days, and the result was impressive, particularly: 1. Code base understanding: One thing Windsurf did really well is its understanding of the whole code base & dependencies; This led to a big difference in terms of final code quality 2. Context aware: It actually knows everything I did in the editor, e.g. it automatically knows code edits I made without me prompt it; 3. Reflection: I noticed Windsurf has been finetuned to reflect and try to iterate/improve code it generated autonomously; This was a magic moment for me .... I shared key highlights i had and showcase my process of building a PDF converter product using windsurf 0:00 Platform overview 6:21 How does context aware engine works 10:45 Case study: Build PDF converter Sass ---- If you have any further question or want to get deep dive into more AI coding, you can join my community where I post tips weekly:

Jason Zhou

64,713 просмотров • 1 год назад