Jeethu LA

Something big soon

[Jeethu LA @JeethuLa]

@spikeysanju I miss this 💯

[Nitish Reddy @reddy_niti81259]

This fear Haunts Me everyday ⏰...

[GDG Chennai @GDGChennai]

Your AI agent should not have to guess which button to click.

Jeeththenthar, AI Engineer at Kovan Labs, on WebMCP and the agentic web.

Oct 17. https://t.co/LCICMTtQjM

@JeethuLa @GDGIndia
#GDGIndia #GDGChennai #DevFest #DevFestIndia #DevFest2026Chennai #DevFestChennai

[_w!zdom_ @wizdomizgoated]

The art of enjoying your own company

[Sanju @spikeysanju]

Turned this into a blog.

The problem is not that junior work is bad. It is that it has no opinion in it. And opinions only come from decisions you actually made

https://t.co/iQ4CH8lhZ4

[Jeethu LA @JeethuLa]

https://t.co/2g67VwCX7k

this looks cool
@GDGChennai

[𝒎. @Madhunita_]

Trust the process.

[Ritesh @riteshpatel1884]

The power of repetition in tech is crazy.

1. Write code once → you understand it.
2. Write it 20 times → you remember it.
3. Build 10 projects → you start seeing patterns.
4. Debug 100 errors → you stop panicking when something breaks.

Repetition changes:
• Syntax → muscle memory
• Bugs → debugging skills
• Projects → problem-solving
• Docs → faster learning
• DSA → pattern recognition
• APIs → better system understanding
• Deployments → confidence
• Failures → better engineering decisions

Build → Break → Debug → Fix → Repeat.

[Sanjana @iam_sanjana06]

Hottest thing.

[Khushi🪐 @_khusheyyy]

obsession beats talent every time

[Akshay Saini @akshaymarch7]

People pay lakhs to Colleges for a degree with almost no value.
and the same people won't even pay a few thousand to independent teachers who will put their heart and soul into teaching you a complex subject.
why expect teachers to always keep teaching you for free?

[Jeethu LA @JeethuLa]

@spikeysanju Means

[Hridoy Reh @hridoyreh]

Reddit subreddits to market your startup:

1. r/SideProject (1.4M+/m visitors)
2. r/apps (208K+/m visitors)
3. r/IMadeThis (52K+/m visitors)
4. r/micro_saas (196K+/m visitors)
5. r/vibecoding (1.9M+/m visitors)
6. r/microsaas (100K+/m visitors)
7. r/appledevelopers (26K+/m visitors)
8. r/iOSAppsMarketing (52K+/m visitors)
9. r/SaaSMarketing (10K+/m visitors)
10. r/passive_income (1.5M+/m visitors)
11. r/marketing (280K+/m visitors)
12. r/juststart (18K+/m visitors)
13. r/Entrepreneur (1.1M+/m visitors)
14. r/ClaudeAI (6.8M+/m visitors)
15. r/macapps (144K+/m visitors)
16. r/startups (500K+/m visitors)
17. r/founder (204K+/m visitors)

[Jeethu LA @JeethuLa]

@nilseller I build similar kind of this 6 months ago in my free time for Experimenting - https://t.co/9sl8VfyY5X

do check out

[Puneet Patwari @system_monarch]

I'm a Principal engineer & I passed system design rounds of Amazon, Atlassian, Walmart, Saleforce, and Deliveroo.

Trust me, learning system is not hard. Start from these fundamental concepts:

1) Load Balancing: https://t.co/3jKCLiI6vl

2) CDN: https://t.co/dxzCmm9gAf

3) Caching: https://t.co/pRgn0FTPp2

4) Cache Invalidation: https://t.co/QrfRjJ57gd

5) Rate Limiting: https://t.co/LE5ECM2tGt

6) API Gateway: https://t.co/DgU8cBDUVr

7) CAP Theorem: https://t.co/a8WydnAIxd

8) Sharding: https://t.co/XQLU6eDriD

9) Replication: https://t.co/KuDkFH0fjx

10) Partitioning: https://t.co/3WXKeZLbLa

11) Queues: https://t.co/JchEoCcFmF

12) Microservices: https://t.co/aAQfM6AWMq

13) Microservices Vs Monoliths: https://t.co/bTaIIWkPU3

14) Fault Tolerance: https://t.co/qXNBoyOqYT

15) Database Scaling: https://t.co/D2lvPm1wkB

16) Service Discovery: https://t.co/z2DpwbJBVI

17) Consistency models: https://t.co/K2r3nMcCQu

18) Eventual Consistency: https://t.co/SWiz4ckIKR

19) Distributed Transactions: https://t.co/xqL7BTJxXn

20) Leader Election: https://t.co/ApNaYSnSFj

21) Horizontal vs Vertical Scaling: https://t.co/IFuEmzMfob

22) Back of the Envelope Estimation: https://t.co/7ntEmtVggQ

23) Idempotency, Data Latency & Finale: https://t.co/fNArLx4MrW

Let me know what you'd like me to cover, would love to help :)

[Jeethu LA @JeethuLa]

we talk a lot about building consistent systems,​But the best system I’ve optimized recently isn’t code—it’s getting back into sports. ​The raw discipline and consistency it demands anchors everything else. How you show up for the game is how you show up for your career and life.

[Vaibhav Sisinty @VaibhavSisinty]

I don't know how many of you are looking at the other side of AI. Not the models. Not the agents. The hardware underneath all of it.

This one caught my eye.

A German startup called SaxonQ just commercially launched a 512-qubit quantum computer. That runs at room temperature. Just a server rack and a normal wall outlet.

The chip is made from diamonds. Actual synthetic diamonds.

Here's why that matters for AI:

→ Current quantum computers need to operate near absolute zero. That's colder than outer space. It costs a fortune just to keep them running.

→ SaxonQ figured out how to use nitrogen-vacancy centers in diamonds to do the same thing at room temperature

→ Their systems claim 6x to 10x better energy efficiency than GPU clusters running the same workloads

→ They boosted diamond qubit production yield from 1-10% industry average to over 85% using a patented sulfur process

→ Compatible with Qiskit and OpenQASM. Meaning it plugs into existing AI workflows today.

Now here's where it gets interesting for AI labs specifically.

The two biggest problems in AI right now are cost and energy. Training and running large models is brutally expensive and power hungry.

If even a slice of that workload can be offloaded to quantum hardware at 6-10x better efficiency, the economics of building AI change.

SaxonQ has already deployed smaller systems at the German Aerospace Center and Fraunhofer IWU for real industrial work. This isn't vaporware.

SXQ128 ships in 3 months. SXQ512 in Q2 2027.

We talk a lot about which model is better. Not enough about what the next layer of hardware makes possible.

The chip race just got a new player. And it's made of diamonds.

[Jeethu LA @JeethuLa]

@dmitry_alexin @HandoffAI @GokulRaja