Akhil

EXL Analytics || FMS-Delhi || Product@ || DTU(DCE) || Strategy@ CEO's Office || AI - NLP - ASR

[Akhil @akhil_dce]

@volklub Sir, I bought a second hand grand i10 2 years back as my first car. City drive is 600kms monthly, and I go to hills each alternate month with my family. Average running comes around 1000km.
I want to replace this, shall I wait for one more year or again get a second hand car

[Akhil @akhil_dce]

@ThetaVegaCap As per your calculation, Ajay is paying 2.4 lakh as an emi for a loan of 2.2 cr for 20 years. That means he is incurring a 12% home loan interest rate. That is not a real World scenario at all. As per current home loan interest rate he might be paying 1.7-1.8 lakhs as emi

[Rahul Roy @Ai_here202]

This "AI Engineering" Book is Goat

But here’s the secret:
Its GitHub repo has a goldmine

Learn LLM apps, prompt engineering, fine-tuning, RAG & more.

To Get it:

1. Follow me (so I can DM you)
2. Repost
3. Comment "AI"

[Akhil @akhil_dce]

@Ai_here202 AI

[ℏεsam @Hesamation]

Thousands of dudes paid $2500 for this Agents Crash Course and now it’s free (lmao imagine their face).

Haven’t checked it yet but covers so much ground: mcp, memory, multi-agents architecture, planning + reasoning, and other cool stuff.

Seems a good one.

[Akhil @akhil_dce]

@jason_coder0 YT

[Shraddha Bharuka @BharukaShraddha]

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝘁𝗼𝗼𝗹𝗯𝗼𝘅 :

Give Away Alert!!

1. Artificial Intelligence
2. Machine Learning
3. Cloud Computing
4. Ethical Hacking
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10 MBA

For 24 Hours only!

To get it:
1. Like, Retweet and Follow
2. Reply "Send"

[Akhil @akhil_dce]

@alexgroberman X LinkedIn growth guide

[Alex Groberman @alexgroberman]

I created my LinkedIn 40 weeks ago.

Easiest algorithm to crack by a country mile.

I have since added $70,000 to my agency pipeline, generated five figures this month for SEO Stuff, built 7,400+ connections, logged 1,720,745 impressions, and reached 535,761 members.

Use my system before they close the loopholes.

And if you want my full cheat sheet including updated engagement group templates, carousel strategy, and DM workflows:

Follow me

Repost this

Comment “X LinkedIn growth guide”

You must do all 3 to get the DM.

What is working now for audience growth:

LinkedIn rewards original insights, depth, and conversation.

The fastest-growing accounts right now are doing these things consistently:

Proof + Perspective, since people want numbers and your take. Basically dashboard screenshots, Stripe receipts, client results followed by “here’s what I learned.”

Story-first content, which are basically posts that tell a quick story. Even a small win or failure outperform generic how-tos.

Also, don't sleep on comment-first growth.

The easiest way to grow your audience fast is to be seen in other people’s comments daily.

Thoughtful comments can outperform posts for reach when done consistently.

Also, try to prompt conversation.

Posts that create back-and-forth replies inside the comments get shown for 2–3 extra days.

Ask real questions and reply to every comment to keep the discussion alive.

Network overlap is key to. If your content keeps getting engagement from two or three adjacent niches, LinkedIn starts showing you to those networks more often.

Consistency is key, by the way.

Three posts a day, every day, is better than six posts one day and silence the next.

My posting routine:

I post 3 times per day, 7 days a week, unless I'm traveling. (And when I travel my stats plummet).

Morning: Text post with POV, story, or market insight

Afternoon: Carousel, proof post, or annotated screenshot

Evening: Mini-thread, framework, or quick win

Even 2 days off posting cuts impressions and inbound leads by half. (I learn this the hard way every month.)

Best-performing formats right now:

Carousels

Slide 1: bold headline tied to a pain point or result

Slides 2–5: numbered steps, bullets, or annotated visuals

Final slide: CTA (“Drop guide below if you want the SOP”)

Carousels with a mix of text and screenshots are outperforming plain text slides by 30–40%.

Short videos

Under 60 seconds

Hook hard in the first 3 seconds

Use subtitles with a strong first line (auto-previews drive clicks)

Show processes, dashboards, or quick wins over overly polished production

Text posts

Hook with a question or bold claim

1–2 lines per paragraph for scannability

3–5 bullet takeaways perform better than walls of text

End with a question that invites others to share their experience

Proof breakdown posts

Share a result

Explain how it happened in 3–4 short bullets

Turn your metrics into a mini-case study

Conversation-first posts

Ask a real question, share a controversial POV, or open a loop that invites debate

Formats that kind of suck right now:

Generic AI-written content with no voice

Metrics-only posts with no “how”

Text walls with no whitespace

Links in the post body

Timing sweet spots:

7–8 AM for thought-leadership or text-heavy posts

1–3 PM for maximum reach

Sunday evening for outsized visibility with less competition

Tuesday and Thursday for CTA or lead-gen posts

Engagement strategy for building a strong audience:

Comment on 20+ posts/day with insight or examples (not just “great post”)

Like 50+ posts/day, focusing on people who engage with your content

Reply to every comment within the first hour, this drives early velocity

Repost your best-performing posts every 5–7 days with a fresh angle

DM 5–10 new people daily with context tied to what they just posted

LinkedIn is now weighting comment threads and returning commenters more heavily.

Encourage dialogue between commenters and follow up with people who engaged last time, repeat engagement makes your reach grow week over week.

Hooks converting right now:

“I started this account 40 weeks ago. Here’s the exact revenue it has generated.”

“$10K this month from LinkedIn posts. Here’s the breakdown.”

���This 7-slide carousel booked 3 calls in 24 hours. Slide 1 below.”

“If I had to rebuild my LinkedIn from scratch in 2025, here’s what I would do.”

“The 3-post-per-day system I use to consistently generate inbound leads.”

Always pair with screenshots, receipts, or analytics for credibility.

30-day checklist for building a strong audience:

Post 3x/day

Comment on 20+ posts/day with substance

Like 50+ posts/day

Reply to every comment in the first hour

Repost your top performers weekly

DM 5–10 people/day with value-first context

Track impressions, replies, inbound leads, and comment thread depth weekly

LinkedIn is still the most underpriced attention engine in 2025.

Run this playbook for 30 days. Screenshot your Day 31 results. Tag me when the inbound starts.

And if you want the full cheat sheet with engagement group templates, carousel strategy, and DM workflows:

Follow me

Repost this

Comment “X LinkedIn growth guide”

You must do all 3 for the DM.

[Akhil @akhil_dce]

@BharukaShraddha Send

[Akhil @akhil_dce]

@BharukaShraddha Got it, thanks for sharing!!!

[Darshil | Data Engineer👨🏻‍🔧 @parmardarshil07]

6 FREE End-To-End Data Engineering Projects (2Million+ Views)📈

Kick-start your career in Data Engineering with these projects, you will learn more than any paid courses for FREE!

Spend your weekend doing these amazing projects 👇🏻

1. IPL Data Analysis (End-To-End Apache Spark Databricks Project)-
https://t.co/2pJzBSAPXG

What will you learn?
✅ Python and PySpark
✅ SQL
✅ Apache Spark Basics and Databricks
✅ Writing transformation logic
✅ Visualizing data for insights

2. YouTube Data Analysis (End-To-End Data Engineering Project) - https://t.co/VoWVgzb614

What will you learn?
✅ Python and PySpark
✅ SQL
✅ How to understand the business problem
✅ AWS Services - Athena, Glue, Redshift, S3, IAM
✅ Building Data Pipeline and Scheduling it

3. Twitter Data Pipeline using Airflow - https://t.co/peLViDzonF

What will you learn?
✅ Python
✅ Basics of Airflow
✅ Working with Twitter Data and Package - Tweepy
✅ Python Package - Pandas
✅ Writing ETL job and storing data on S3

4. Stock Market Real-Time Data Analysis using Kafka, AWS, and Python - https://t.co/3H5rrBa4io

What will you learn?
✅ Build a Real-Time app using Python
✅ Understand the basics of Kafka
✅ Install Kafka on EC2
✅ Generate a real-time pipeline and
✅ Analyze Data in Real-Time

5. Uber Data Analytics Project On GCP
Video Link -
https://t.co/H9jBKErD8i

Here's what you will learn:
✅ How to understand raw data
✅ Building Data Model (Lucid Chart)
✅ Writing ETL Script (Python)
✅ Modern Data Pipeline Tool (mage)
✅ SQL queries for analysis

6. Olympic Data Analytics | End-To-End Azure Data Engineering Project
Video Link - https://t.co/Y8bnAB5nae
Here's what you will learn:

✅ Extract Data from APIs
✅ Learn Azure Services DataBricks, DataFactory, and Synapse Analytics
✅ Writing Spark Code
✅ SQL queries for analysis
Tag someone who might find this helpful 👇🏻

Have you ever done any of these projects? Let me know!

[Akhil @akhil_dce]

@BharukaShraddha DE

[Rohit Ghumare @ghumare64]

I switched to DevOps Engineering 4 years ago!

It was the best career move I ever made.

If you want to start today, here's a roadmap:

[Barack Obama @BarackObama]

At a time when people are understandably focused on the daily chaos in Washington, these articles describe the rapidly accelerating impact that AI is going to have on jobs, the economy, and how we live. https://t.co/RSbMkhz3Xm

[Sanjeev Bikhchandani @sbikh]

There has been a lot of talk in the last couple of weeks about the need for Indian startup’s to work on deep tech and AI. And for VCs to invest in deep tech and AI in India. At Info Edge we have been investing in these areas for the past five years. We have a separate pool of capital for deep tech investments. Initially we invested through Red Start (an Info Edge subsidiary) and subsequently through our VC Fund @Capital2B (yes we
Have two VC Funds the better known one being @InfoEdgeVC)
Our Deeptech investing is led by @vibhores who is a partner at @Capital2B

We have invested into eighteen Deep Tech companies over the past five years. And we continue to invest in one or two more every quarter. The range is diverse - from drug discovery to mental health to materials to space technology and many other areas. The unified theme is around frontier knowledge being converted into companies.

The detailed list of our deep tech portfolio is below

Matter Motors - Battery tech & Geared motor bikes

Pantherun - Hardware & Software encryption

Leumasware - Manufacturing on demand

Manastu Space - Propulsion systems for in-space

Ahammune BioSciences - Drug candidate for auto-immune disorders

Marbles Health - Mental health & depression

BrainSight Al- Interpreting Brain MRIs

ePlaneCo - Electric Flying taxi (eVTOL)

Unbox Robotics - Robotics for ecomm warehouses

CynLr- Vision stack for Robotics

StringBio - Alternative proteins and bio-stimulants for agriculture

RaylOT - Touch-less breath monitoring

Skyserve Al - Edge-compute for Geo-spatial data

Aarogya Al - Genomics for drug-resistance against TB

Skylark Drones - Drone survey & analytics

Lumiq Al - Data storage & Analytics for BFSI

Attentive Al - Purpose-driven geospatial insights

NexStem - Brain-computer interface

[The AI Colony @TheAIColony]

NVIDIA just shook the AI and Robotic world at NVIDIA GTC 2025.

CEO Jensen Huang announced jaw-dropping breakthroughs.

Here are the top 11 key highlights you can’t afford to miss: (wait till you see no 3)

[Akhil @akhil_dce]

@TanviKiara All

[Kiran Bharambe @Bharambe2Kiran]

𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲s 𝗙𝗥𝗘𝗘

1. Artificial Intelligence + Data Analyst
2. Machine Learning + Data Science
3. Cloud Computing + Web Development
4. Ethical Hacking + Hacking
5. Data Analytics + DSA
6. AWS Certified + IBM COURSE
7. Data Science + Deep Learning
8. BIG DATA + SQL COMPLETE COURSE
9. Python + OTHERS
10 MBA + HANDWRITTEN NOTES

(48 Hours only ) Cost About - $349

To get: -
1. Follow @Bharambe2Kiran
2. Like & retweet
3. Reply "Yes"

[Akhil @akhil_dce]

@Bharambe2Kiran Yes!