For developers using Claude Code, Codex, Cursor, Aider, Gemini, or similar tools:

What are the biggest problems you still encounter in real projects?

I’m interested in the practical failure points:

* **Context:** losing track of large codebases, architecture, conventions, or previous decisions * **Reliability:** hallucinations, incorrect assumptions, repetitive loops, regressions * **Maintenance:** refactoring, technical debt, dependency updates, migrations, documentation * **Security:** secrets, permissions, prompt injection, unsafe commands, vulnerable generated code * **Testing:** knowing whether a change is actually correct rather than simply passing a few tests * **Deployment:** CI/CD failures, broken builds, infrastructure changes, bad releases * **Production:** monitoring, debugging, rollback, performance regressions, incident response * **Autonomy:** where you still need to supervise the agent manually * **Memory:** what the agent forgets between sessions or across projects

Most importantly:

**What problem has repeatedly cost you the most time or caused the most frustration?**

What are you currently building, and what part of that workflow are AI tools still failing to handle well?

Real examples and workflows are much more useful than general opinions.

For developers using Claude Code, Codex, Cursor, Aider, Gemini, or similar tools:

What are the biggest problems you still encounter in real projects?

I’m interested in the practical failure points:

• Context: losing track of large codebases, architecture, conventions, or previous decisions
• Reliability: hallucinations, incorrect assumptions, repetitive loops, regressions
• Maintenance: refactoring, technical debt, dependency updates, migrations, documentation
• Security: secrets, permissions, prompt injection, unsafe commands, vulnerable generated code
• Testing: knowing whether a change is actually correct rather than simply passing a few tests
• Deployment: CI/CD failures, broken builds, infrastructure changes, bad releases
• Production: monitoring, debugging, rollback, performance regressions, incident response
• Autonomy: where you still need to supervise the agent manually
• Memory: what the agent forgets between sessions or across projects

Most importantly:

What problem has repeatedly cost you the most time or caused the most frustration?

What are you currently building, and what part of that workflow are AI tools still failing to handle well?

Real examples and workflows are much more useful than general opinions.

For developers using Claude Code, Codex, Cursor, Aider, Gemini, or similar tools:

What are the biggest problems you still encounter in real projects?

I’m interested in the practical failure points:

• Context: losing track of large codebases, architecture, conventions, or previous decisions
• Reliability: hallucinations, incorrect assumptions, repetitive loops, regressions
• Maintenance: refactoring, technical debt, dependency updates, migrations, documentation
• Security: secrets, permissions, prompt injection, unsafe commands, vulnerable generated code
• Testing: knowing whether a change is actually correct rather than simply passing a few tests
• Deployment: CI/CD failures, broken builds, infrastructure changes, bad releases
• Production: monitoring, debugging, rollback, performance regressions, incident response
• Autonomy: where you still need to supervise the agent manually
• Memory: what the agent forgets between sessions or across projects

Most importantly:

What problem has repeatedly cost you the most time or caused the most frustration?

What are you currently building, and what part of that workflow are AI tools still failing to handle well?

Real examples and workflows are much more useful than general opinions.

Hey everyone,

I’m a 16-year-old student from India looking to join an early-stage startup remotely as a GTM / Growth / Strategy co-founder or early founding team member.

I’m not looking for a paid job right now. I’m primarily looking for real startup experience, learning, and the opportunity to build something meaningful with a strong team.

What I can bring

My strongest areas are:

• Social media algorithm analysis — understanding content distribution, engagement, retention, and growth
• GTM strategy — figuring out positioning, target users, acquisition channels, and growth experiments
• Project economics & optimization — analyzing costs, resources, ROI, and finding ways to make projects more efficient
• Product and market research
• AI/tech understanding — enough to work closely with technical founders and understand complex products
• Content and distribution strategy
• Rapid experimentation and data-driven decision making

I’m especially interested in AI, deep tech, developer tools, robotics, engineering, and consumer technology.

I’ve also been working on my own ideas involving AI video editing/production, AI agents, engineering tools, and deep-tech systems, so I understand both the technical and product side of building.

What I’m looking for

I’d love to join an early-stage startup where I can take ownership of things like:

GTM → Growth → Social → Market Research → User Acquisition → Strategy → Business Optimization

I’m open to being a co-founder, founding team member, or early GTM contributor, depending on the startup and situation.

Remote is ideal.

I’m not expecting a salary at this stage. My main goal is to gain serious experience, contribute meaningfully, and learn how an actual startup goes from 0 → users → product-market fit → growth.

If you're a founder building something ambitious and think my skill set could be useful, DM me.

Please include:

• What you're building
• Current stage
• What you're looking for
• Your website/demo if you have one
• What you'd expect me to own

I’m much more interested in actually building and executing than collecting another line on a résumé.

I am high schooler I have researched on two topics made paper but how could I get it published and possibly reviewed

So folks I need ur help I am a high schooler I have two research like concept paper I want to get it reviewed I have two fields based research electro lithography and aerospace I needed help if anyone could help

Hey everyone,

As part of Gen Z, it often feels like our social feeds are flooded with short-term outrage while completely ignoring historical context. I put together a brutalist-style visual breakdown to contrast past systemic issues with the decisive policy shifts of today.

📌 The Questions We Rarely Ask:

• Paper Leaks & Systemic Scams: Mass paper leaks and exam scams aren't a new phenomenon. Systemic governance failures repeatedly compromised student futures during previous administrations with minimal public accountability.
• Internal Security & Riots: Communal tension and frequent riots were a regular occurrence in past decades. Where was the sustained outrage and activism then?
• Divisive & Anti-National Rhetoric: Today, certain protest spaces adopt extreme slogans like "Brahmanwad Khatam Karo" or "Bharat Tere Tukde Honge". Why is divisive rhetoric or disrespect toward traditions tolerated under the banner of legitimate dissent?

📌 The Shift in "Naya Bharat":

• Decisive Counter-Terrorism: Moving away from passive diplomatic responses (such as post-26/11) toward clear retaliatory policy like Surgical Strikes and Balakot.
• J&K Integration & Peace: The abrogation of Article 370, paving the way for full integration, long-term stability, and development in Jammu & Kashmir.

​

Hi everyone,

I'm currently a Class XI student from India planning to apply for undergraduate EECS/Electrical Engineering programs. I know I'm still about a year away from applying, so I'm looking for honest advice on how to improve my profile and what I should focus on.

Academics

91% in Class X (CBSE)

Ranked 3rd in my school's Science Olympiad (our school is fairly competitive)

Currently in Class XI, so I still have one more year to improve my profile before applications.

Extracurriculars

Conducted independent research on alternatives to EUV (Extreme Ultraviolet) generation.

Currently working on a breadboard-based hybrid electro-photonic 8-bit computer.

Ranked #92 in the Confluence 2.0 International Hackathon (as mentioned by the organizers).

Wrote a concept paper on a low-cost rocket launching system and Mars robotics, which received feedback from the Director, Science Programme Office, ISRO.

Developed a landfill conversion proposal with engineering and economic analysis, reviewed by a professor at IIT Delhi.

Lead my school's robotics team and mentor teammates who went on to win a district-level college fest.

Developed a disaster-response aerial engineering system.

Built a self-sustaining edge AI mesh concept for air purification and pollution monitoring.

Participated in a national-level debate competition.

Participated in multiple Google developer hackathons.

Built several interdisciplinary engineering projects.

What I'm working on next

Preparing for IOQM, NSEP, NSEC, and other Olympiads.

Planning to continue larger engineering projects and competitions over the next year.

Questions

1. What do you think are the biggest strengths and weaknesses of my profile?

2. If you had one year before applying, what would you prioritize?

3. Should I focus more on Olympiads, research, engineering projects, internships, or competitions?

4. What can I do over the next year that would make the biggest difference for schools like MIT, Stanford, Berkeley, CMU, Oxford, ETH Zurich, and EPFL?

5. For those who were admitted or have gone through the process, how did you approach your applications? What do you wish you had known before applying?

6. Are there any opportunities or mistakes that international applicants from India commonly overlook?

I know admissions to schools like MIT and Stanford are extremely competitive, especially as an international applicant from India. I'm not looking for false hope or guaranteed chances—I just want genuine advice on how to make the best use of the next year.

Thanks in advance!

Note: I completely understand that schools like MIT, Stanford, Berkeley, Oxford, ETH Zurich, and EPFL are extremely competitive, especially for international applicants from India. I'm not looking for comments saying "it's almost impossible" or "it's very hard"—I'm already aware of that. I'm looking for actionable advice on how I can make the best use of my remaining year before applications. If you think something is weak in my profile, I'd really appreciate suggestions on how to improve it rather than just pointing it out.

Hi everyone,

I'm a Class XI student from India planning to apply for Electrical Engineering/EECS undergraduate programs (MIT, Stanford, Berkeley, CMU, ETH Zurich, EPFL, Oxford, etc.).

I'm not looking for a chance-me since I know I still have about a year before applications. I'm mainly looking for honest advice on how to improve my profile.

Placed 3rd in my school's Science Olympiad (my school is fairly competitive)

Currently in Class XI with another year to strengthen my application

Planning to prepare seriously for IOQM, NSEP, NSEC, and other national-level Olympiads

Current Activities

Conducted independent research on alternatives to EUV (Extreme Ultraviolet) generation.

Currently building a breadboard-based hybrid electro-photonic 8-bit computer.

Participated in a national-level debate competition.

Participated in multiple Google developer hackathons.

Built several interdisciplinary engineering and AI projects.

My Questions

1. If you had one year before applying, what would you prioritize?

2. Would success in Olympiads (IOQM, NSEP, NSEC, etc.) have a significant impact compared to building more engineering projects?

3. Should I focus on publishing research, competitions, internships, open-source contributions, or continuing larger engineering projects?

4. What are the biggest weaknesses you see in my profile right now?

5. If you were advising an international applicant aiming for MIT/Stanford-level engineering programs, what would you do differently over the next year?

I know admission to MIT and similar universities is extremely competitive, especially for international applicants from India. I'm not expecting anyone to predict my chances—I would genuinely appreciate constructive advice on what I should focus on over the next year.

Thank you!

Demographics

• International Applicant (India)
• Male
• CBSE
• Currently in Class XI

Intended Major

• Electrical Engineering
• Computer Science (secondary interest)
• Engineering Physics (where available)

Academics

• Class X (CBSE): 91%
• Currently studying PCM
• Preparing for:
  • IOQM
  • NSEP
  • NSEC
• SAT planned for 2027

Extracurriculars

1. Disaster Response Engineering Project

Leading the development of a student-led engineering project focused on disaster response. Responsible for system design, testing, documentation, and technical integration. Due to safety and IP considerations, I am not publicly sharing technical details.

2. EcoSentinel

Developed and deployed an AI-based environmental monitoring system. Collected and documented several months of real-world data and deployment progress.

3. Sanjeevani Smart Health Kit

Developing an AI-assisted emergency healthcare solution aimed at improving access to first-aid support in underserved communities. Planning to submit it to Samsung Solve for Tomorrow.

4. AI Receptionist

Built an AI-powered receptionist prototype with local AI integration and automation features.

5. Local AI Assistant (Jarvis)

Built a local LLM-based desktop assistant using LM Studio capable of voice interaction and workflow automation.

6. BLE Mouse

7. CivicsDex

Competitions & Awards

• Ranked 76th in Confluence 2.0 Hackathon
• Preparing for Samsung Solve for Tomorrow
• Preparing for national science Olympiads (IOQM, NSEP, NSEC)

Leadership

• Student engineering lead on multiple AI and embedded systems projects
• Robotics leadership within school
• Coordinating development, testing, documentation, and team collaboration

Interests

• AI
• Robotics
• Embedded Systems
• Disaster Response
• Aerospace
• Semiconductors

Colleges

• MIT
• Stanford
• Oxford
• ETH Zurich
• EPFL
• Carnegie Mellon
• Georgia Tech
• Purdue

Questions

1. Which parts of my profile stand out the most?
2. What are the biggest weaknesses?
3. If I have about a year before applying, what should I prioritize?
4. Would success in Samsung Solve for Tomorrow or national Olympiads significantly strengthen my application?
5. What would make this application more compelling for highly selective engineering programs?

hi everyone,

I'm a Class XI student from India interested in engineering and AI. Over the past year I've been leading my school's robotics team and building projects in AI, embedded systems, environmental monitoring, disaster response, and healthcare technology.

One thing I admire about Stanford is that many students seem to combine technical depth with entrepreneurship, research, and interdisciplinary interests.

I'm not asking about admissions.

I'd love to know:

* If you were in high school again, what would you spend your final year doing? * Would you focus on one flagship project or continue exploring multiple interests? * Looking back, what experiences prepared you best for Stanford?

I'd appreciate any insights from current students or alumni.

hi everyone,

I'm a Class XI student from India interested in engineering and AI. Over the past year I've been leading my school's robotics team and building projects in AI, embedded systems, environmental monitoring, disaster response, and healthcare technology.

One thing I admire about Stanford is that many students seem to combine technical depth with entrepreneurship, research, and interdisciplinary interests.

I'm not asking about admissions.

I'd love to know:

• If you were in high school again, what would you spend your final year doing?
• Would you focus on one flagship project or continue exploring multiple interests?
• Looking back, what experiences prepared you best for Stanford?

I'd appreciate any insights from current students or alumni.

Hi everyone,

I'm a Class XI student from India interested in applying to MIT for EECS. I'm trying to make thoughtful decisions about how to spend the next year rather than chasing activities for the sake of a resume.

For context, I currently:

• Lead my school's robotics team.
• Build AI and embedded systems projects, including an environmental monitoring system, a disaster-response drone platform, and an AI-assisted emergency healthcare concept.
• Experiment with LLM-based desktop assistants and embedded electronics.
• Am preparing for Olympiads (IOQM, NSEP, NSEC).
• Recently ranked 76th in the Confluence 2.0 Hackathon.

I'm not looking for an admissions evaluation. Instead, I'd love to hear from current students or alumni:

• If you were in my position, what would you spend the next 12–15 months doing?
• Would you focus on taking one engineering project to a much higher level, pursuing research, contributing to an open-source project or startup, or something else?
• What experiences best prepared you for MIT's collaborative, hands-on culture?

I'd really appreciate any advice. Thanks!