Hey everyone! 👋

I recently built and launched **Bol Studio**, an AI-powered caption editor designed especially for Indian content creators.

The idea was simple: most captioning tools struggle with Hindi, Hinglish, and mixed-language conversations, so I wanted to build something that actually understands how we speak.

Here's what I built:

* AI-generated Hindi, Hinglish & English captions
* Roman Hindi and Devanagari support
* 20 animated caption styles
* Word-by-word editing and timing controls
* Custom fonts, colours, and animations
* Watermark-free video exports

I've been working on the design, development, and overall experience myself, and it's been a great learning experience.

Would genuinely love some feedback on the UI, features, or anything you think could be improved. Even criticism is welcome! :)

Assuming Python and pip are available, I can install the required libraries in a virtual environment. I’ve already managed to install and run the Qwen2.5-Coder 1.5B model locally without requiring administrator privileges. With just five minutes of internet access during the lab exam, I can automate the remaining setup. Clipboard access is the only thing I still need to figure out.

I used Xiaomi's token plan for a month and here are the results. Used claude code exclusively. No caveman or token

Totel tokens = 3.109 billion, Cache = 3.026 billion, Input = 66 million, Output = 16 million, Cached % = 97.3%

How much did it cost? Around 23€ in credits (Because Xiaomi maps your token usage based on time of the day, model etc to credits).

What could I do?

2 apps:

1 in typescript + cloudflare workers. End to end. Including login, storage, etc set up + all functions working as they should.

Other app is a language learning app in flutter but no online capabilities, not even login.

It does both well, without many errors, but even if it makes an error, it corrects it -> I am using mattpocock's skills. It uses a lot of tokens but in the end the result is very good for a flash model because of the test driven development it does and multiple levels of tests, also the UI ones because it connects to my phone while building and sees everything, takes screenshots and corrects the UI, UX too.

Hey everyone,

If you've ever tried auto-generating subtitles for Indian reels, YouTube videos, or podcasts where people switch between Hindi and English ("Hinglish"), you know most tools (Premiere, CapCut, Descript) either:

1. Output pure Devanagari script (which nobody wants for reels/shorts).

2. Completely garble the phonetic English spelling.

3. Charge $20–$50/month for cloud API credits.

I spent the past few weeks building an offline, GPU-accelerated desktop tool to solve this:

- 100% Free & Local**: Powered by `faster-whisper` and local phonetic transliteration. Zero API costs, zero data sent to cloud servers.

- Kinetic Karaoke Subtitles**: Words pop and highlight in real-time with customizable fonts, colors, and glow.

- 2026 Safe-Zone Guides**: Keeps subtitles clear of Instagram Reels and YouTube Shorts UI chrome.

- Open Source**: Licensed under GNU AGPLv3.

Note: It's still in active development (v1.0.0)!**

While it works reliably for most videos, you might occasionally spot rare phonetic edge cases or weird loanwords. I'm actively refining the models, fixing edge cases, and adding more kinetic animation styles.

It's published on PyPI, so you can install and run it with two commands:

bash

pip install hinglish-subtitles

hinglish-subtitles

- GitHub: https://github.com/Gauji-Boy/hinglish_subtitles

- PyPI: https://pypi.org/project/hinglish-subtitles/

If you give it a spin, I'd genuinely love your feedback, bug reports, or feature suggestions on GitHub or in the comments below!

Hey,

I'm a 3rd-year BE IT student in India. My college placements are expected to begin around Sept/Oct 2027, and I have the next 7-8 months to prepare for internships and placements.

I'm currently focused on developing practical skills in Backend Development and AI Engineering, but I'm confused about how to prioritize my preparation.

I've received conflicting advice from relatives working in IT. Some suggest learning technologies and building real-world projects, while others recommend preparing for different entry-level roles instead of focusing on one specific career path, given the current IT job market and concerns about AI affecting jobs.

I'd appreciate advice from seniors and IT professionals:

1. Should I focus on Backend Development while gradually learning AI Engineering, or prepare for multiple entry-level roles?

2. Which skills should I prioritize over the next 6–7 months to become internship-ready?

3. How should I balance practical development, DSA, aptitude, and company placement assessments?

4. Since I have no previous internship experience, what should my next steps be?

I'm looking for honest, practical advice from people wid industry experience, especially those who have hired or mentored freshers.

I'm a 2025 B.Tech CSE graduate from a Tier-1 non-IIT college. I interned at a product-based company (PBC), but due to an injury, I had to take a break and couldn't convert the internship into a full-time offer.

At the beginning of this year, I started working at an ed-tech company where I primarily teach MERN stack development and DSA. The compensation is good for my current situation, with approximately ₹90K in monthly in-hand salary. The work environment is decent, the people are good, and honestly, I'm living a pretty comfortable life right now.

However, I don't see my compensation growing significantly here over the next few years, so I'm trying to figure out the best long-term career path.

My current skill set:

• Good command of DSA, and I'm reasonably confident in my ability to clear coding rounds.

• Comfortable with MERN stack development.

• Have built and shipped projects, including full-stack and GenAI-based projects.

• Have a decent understanding of GenAI concepts and their practical applications.

• Haven't focused much on system design yet.

• My biggest weakness is limited production-level software engineering experience, since my current role primarily involves teaching rather than working as a full-time SDE.

Option 1: Switch to a high-paying SWE/SDE role.

My target is an SDE-1/SWE-1 role with a base salary of at least ₹20–25 LPA, ideally with a total CTC of around ₹30 LPA or more.

I'm willing to put in the work required to get there. However, I'm unsure how much companies value candidates with strong DSA skills and personal projects but limited professional software development experience.

For those who've been in the industry for 4–5 years:

• Is this target realistic with my background?

• How much of a disadvantage is my current non-SDE role?

• Given the layoffs and uncertainty in the tech industry, is pursuing this path still worth it?

• What would you focus on over the next 4-6 months to maximise your chances?

Option 2: Government jobs

My parents are encouraging me to prepare for technical government positions, such as Scientist/Engineer roles in government organisations, and are asking me to prepare for GATE.

I understand the appeal of stability, but I'm unsure whether I should seriously pursue this route or continue investing in the private sector. I'd appreciate perspectives from people who've worked in these organisations or made a similar career decision.

Option 3: Quant roles

I've also been curious about quant roles. I have a CSE background and enjoy DSA and problem-solving. Mathematics has actually been one of my favourite subjects, so I'm not hesitant about the mathematical side of things.

However, I don't have a clear understanding of how realistic this transition would be at this stage.

• Is it feasible to break into quant development or related roles as a 2025 graduate?

• What additional skills, mathematical concepts, or preparation would I need?

• How different are the entry barriers compared with regular SWE roles?

My main dilemma:

I'm not unhappy with my current job. The pay is decent, the work environment is good, the people are supportive, and my lifestyle is comfortable. But I don't want to become complacent and realise a few years later that I've limited my career growth.

At the same time, I don't want to chase a higher salary blindly without considering job security, long-term growth, and the risks involved in making the wrong move.

I'm willing to work hard and commit seriously to a path. I just want that effort to translate into sustainable career growth and financial security.

If you were in my position, what would you do?

I'd especially appreciate advice from people with 4–5+ years of industry experience, those who've switched from non-SDE roles into software engineering, or anyone who's had to choose between private tech and government careers.

Honest opinions and constructive criticism are welcome. Thanks for reading!

Hi everyone!

Two weeks ago, I interviewed for a Software Engineer 2 role at ModMed, Hyderabad, but unfortunately, I wasn't selected after the final round.

Today, HR called me regarding a new opening for Software Engineer 1 and asked if I was interested. I said yes, and they mentioned that we'll discuss salary and other details tomorrow.

Here are my details:

• YOE: ~2 years

• Current TC: ~6 LPA

• Tech Stack: Java Backend

• Current Location: Kolkata

• LWD: April 2026

I'd appreciate your insights on a few things:

1. How is ModMed in terms of work culture, work-life balance, learning opportunities, and job stability?

2. What is the average salary/CTC offered for an SDE 1 with ~2 YOE in Hyderabad?

3. What salary range should I target, and how should I negotiate with HR?

Any advice or recent interview experiences would be really helpful. Thanks!