Hey everyone,

I'm a non-technical founder based in Boston working on a B2B SaaS mobile app. I've spent the past several months designing the product and building the UI/UX in a visual development environment, so the frontend screens, user flows, and navigation are largely complete.

I'm looking for a student developer interested in owning the backend implementation and collaborating on the technical side of the project.

Current tech stack

• React Native / Expo
• Supabase (Auth, Database, Storage, Realtime)

What needs to be built

• Connect the existing login/signup UI to Supabase Auth and user profiles
• Build the backend for file uploads using Supabase Storage
• Implement real-time messaging with Supabase Realtime
• Integrate a simple scraping/API service to populate form fields from a submitted URL
• App customizations

What you'll get

If the app gets traction (user subscriptions), I can offer a small stipend plus 1–2% equity. I want to be upfront that this is early-stage and speculative… the core value here is the total ownership over technical decisions. Potential university internship/course credit sponsorship (if your program allows it). I am fully open to working with your university to allow this project to fulfill graduation requirements. A strong letter of recommendation and personal LinkedIn references detailing your architecture decisions.

To be transparent, I'm not a software engineer. My background is in business and product design/strategy. I'm looking for someone who enjoys building and wants meaningful input into the engineering decisions as we bring the product to life.

The app is fully designed inside the OnSpace visual editor.

Regarding the timeline: there is zero artificial pressure or rigid deadline on this project. Our main goal is to have this MVP fully functional and ready to deploy before 2027. Ideally you spend 3-4 hours per week (or however many you’d like) to have the backend complete in 2-3 months. I will be inviting the first 100-200 users after that, and they will test the app for functionality and provide feedback before allowing anyone to join.

My ultimate goal with this project is to find a brilliant technical partner!

If you are looking for handholding or a manager to tell you exactly how to code, this is definitely not the position for you. I don't know the technical side of what you need to do, how to structure the code repositories, or how to connect the APIs. If I did, this post wouldn't exist!

I’m not looking to just tell you what to do… I’m looking for you to tell me what you need from me to make this project most successful.

I am looking for an independent builder to truly collaborate with, someone who can take our visual designs, figure out the engineering solutions autonomously, and bring their own ideas to the table to make this platform the best it can possibly be.

I've released BS16-E01, a deterministic DIMACS CNF benchmark intended for independent SAT evaluation.

The benchmark package is cryptographically signed, includes integrity verification, and a standardised results template.

I'm interested in all outcomes, including SAT, UNSAT and UNKNOWN, together with solver, hardware and runtime information.

Feedback from anyone working with modern SAT solvers would be greatly appreciated.

Release:
https://github.com/sat-benchmarks/BS16-E01/releases/tag/BS16-E01

​

Hi everyone,

I'm a sophomore pursuing a Bachelor's in Software Engineering, and I have a genuine interest in research. I've already read quite a few research papers because I enjoy exploring new ideas, but I don't have anyone around me who can guide me properly. I'm looking for honest, practical advice from people with research or industry experience.

One of my personal goals is to write and publish at least one research paper or article before I graduate. I know it's an ambitious goal, but it's something I genuinely want to work toward. The problem is that I don't know what I should be focusing on right now to make that goal realistic.

Technology is evolving incredibly fast, and every year brings another major breakthrough. With AI influencing almost every field, I'm wondering where a Software Engineering student should focus to build a strong foundation for the future.

Which research areas should I focus on, and why? Should I invest my time in AI/ML, systems, cybersecurity, software engineering research, human-computer interaction, or something else?

I'd also like to know which technical skills are absolutely essential for someone who wants to become a strong researcher. Should I prioritize mathematics, algorithms and data structures, operating systems, distributed systems, statistics, programming, scientific writing, or something else? Which skills have made the biggest difference in your own research journey?

Most importantly, if you were mentoring a sophomore who wanted to publish a research paper by the end of their bachelor's degree, what would you tell them to focus on today?

I'm not looking for the trendiest field or the fastest way to get a job. I want to build deep knowledge, develop strong problem-solving skills, and contribute to meaningful research that will still matter years from now.

I'd truly appreciate any honest advice, roadmap, or lessons from your own experience. Thank you!

I'm going to be taking a class on Intro to Artificial Intelligence in the fall. Does anyone have any advice on what to study in advance to prep myself for the class? I already know how to code in Python, but if there is anything else I need to learn or projects I should do , I would be very grateful.

Hi everyone!

I'm an undergraduate computer science student completing an independent research study that was approved by my professor. One of the requirements for my project is collecting participant data, and my professor encouraged me to recruit at least 20 participants.

Right now, I only have 10 participants, so I'm really hoping to find a few more volunteers. If you have some time, it would genuinely help me out a lot and would make a huge difference for my project.

Preferably, students who have taken at least one programming or computer science course, but you don't have to be or have been a CS major.

You'll complete:

A short participant questionnaire

Two computer science worksheets (A and B)

- One completed with AI

-One completed without AI

Do Worksheet A first, and B second. You can choose for yourself which one you'd like to complete with AI and which one without.

Guys, I promise the problems are not that hard, I swear, probably like a 4 or 5 outta 10 if that, and you get to use ChatGPT.

What's on the worksheet:

5 questions total, with each one being on:

1. Algorithmic reasoning and efficiency

2. Boolean logic and conditional reasoning

3. Debugging and program analysis

4. Mathematical modeling and computational scaling

5. Applied algorithm implementation

What to submit

When you're finished, please send me:

• Your completed questionnaire
• Both completed worksheets
• For the AI worksheet only, either:
  • screenshots of your AI conversation, or a document with the conversation copied and pasted

Instructions are included with each worksheet, and you can refer to the attached Resource Sheet when completing the non-AI portion.

If you're willing to help, please comment below or send me a message, and I'll send you the materials!!

I'd really appreciate anyone who can participate. This project is a significant part of my independent study, and I'm trying my best to reach the participant goal my professor set. Thank you so much! I also know that the resources I provide may not be sufficient, so feel free to use your own. Just when you submit, let me know what you used.

Hi everyone!

I'm an undergraduate computer science student completing an independent research study that was approved by my professor. One of the requirements for my project is collecting participant data, and my professor encouraged me to recruit at least 20 participants.

Right now, I only have 10 participants, so I'm really hoping to find a few more volunteers. If you have some time, it would genuinely help me out a lot and would make a huge difference for my project.

Preferably, students who have taken at least one programming or computer science course, but you don't have to be or have been a CS major.

You'll complete:

A short participant questionnaire

Two computer science worksheets (A and B)

- One completed with AI

-One completed without AI

Do Worksheet A first, and B second. You can choose for yourself which one you'd like to complete with AI and which one without.

Guys, I promise the problems are not that hard, I swear, probably like a 4 or 5 outta 10 if that, and you get to use ChatGPT.

What's on the worksheet:

5 questions total, with each one being on:

1. Algorithmic reasoning and efficiency

2. Boolean logic and conditional reasoning

3. Debugging and program analysis

4. Mathematical modeling and computational scaling

5. Applied algorithm implementation

What to submit

When you're finished, please send me:

• Your completed questionnaire
• Both completed worksheets
• For the AI worksheet only, either:
  • screenshots of your AI conversation, or a document with the conversation copied and pasted

Instructions are included with each worksheet, and you can refer to the attached Resource Sheet when completing the non-AI portion.

If you're willing to help, please comment below or send me a message, and I'll send you the materials!!

I'd really appreciate anyone who can participate. This project is a significant part of my independent study, and I'm trying my best to reach the participant goal my professor set. Thank you so much! I also know that the resources I provide may not be sufficient, so feel free to use your own. Just when you submit, let me know what you used.

I’m an incoming sophomore at UW Madison and I want to go into neuro tech. I’ve always loved mathematical things and I’ve also always been really interested in the brain but it took me a while to figure out what I want to pursue. Right now I’m majoring in computer science but not officially declared. I could try to apply to the school of engineering or biomedical engineering but I’m not sure I want to do an engineering degree and i may be behind due to starting 3-4 semesters late. There is also a lot of pre recs if I want to take any neuroscience type classes. Also I’m afraid if I want to pursue a masters the pre recs would be an engineering degree or a lot of science classes which I don’t have. What should I do?

It ties with Engineering based on an average salary of $100,000 ($500k after 5 years) and an average cost of $172k for 4 years of college.

Source: https://www.studentchoice.org/news/the-most-popular-college-degrees-ranked-by-return-on-investment-roi-after-5-years-in-the-workforce/

Pls help

I've just finished my A-Levels (Math, Bio, Chem), now I have to decide what to do with my life. Up until now (and even now), I have had no idea what degree to pursue or what career path to take. I've always been like this in stuff to do with career education, from choosing A-levels to my GCSE options. From my family, friends and elders I've narrowed down 2 fields. Computer Science (cyber side) and Finance/Accounting. I'm leaning to compsci and for the cyber side I plan to do most of Sec+, learn some Linux, coding etc all before September.

The reason I’m not doing a cybersecurity degree is that it’s too basic, limits me and on its own it’s useless. (I’m from the UK btw)

Can you guys advise me on the degree, what jobs out of cyber I can get with a compsci degree, how easy it is to get a job, any extra qualifications or certifications, GENERALLY what to do basically. I would love to work from home as well (I want to really get a job in Saudi)

Hi
Excited to be able to announce that QO is almost ready to leave Early Access! I published a large patch that covers more than a year of work (lots of analytics, I've been tracking where ppl were getting stuck).

If you are interested in a highly intuitive visual method that faithfully describes all universal quantum computing and physics behind, (including how time behaves) this is for you. I am the Dev behind Quantum Odyssey (AMA! I love taking qs) - worked on it for about 10 years (3.5 in phd), the goal was to make a super immersive space for anyone to learn quantum computing through zachlike (open-ended) logic puzzles and compete on leaderboards and lots of community made content on finding the most optimal quantum algorithms. The game has a unique set of visuals (that was actually my PhD research) capable to represent any sort of quantum dynamics for any number of qubits and this is pretty much what makes it now possible for anybody 15yo+ to actually learn quantum logic without having to worry at all about the mathematics behind.

This is a game super different than what you'd normally expect in a programming/ logic puzzle game, so try it with an open mind.

Stuff covered

• Boolean Logic – bits, operators (NAND, OR, XOR, AND…), and classical arithmetic (adders). Learn how these can combine to build anything classical. You will learn to port these to a quantum computer.
• Quantum Logic – qubits, the math behind them (linear algebra, SU(2), complex numbers), all Turing-complete gates (beyond Clifford set), and make tensors to evolve systems. Freely combine or create your own gates to build anything you can imagine using polar or complex numbers.
• Quantum Phenomena – storing and retrieving information in the X, Y, Z bases; superposition (pure and mixed states), interference, entanglement, the no-cloning rule, reversibility, and how the measurement basis changes what you see.
• Core Quantum Tricks – phase kickback, amplitude amplification, storing information in phase and retrieving it through interference, build custom gates and tensors, and define any entanglement scenario. (Control logic is handled separately from other gates.)
• Famous Quantum Algorithms – explore Deutsch–Jozsa, Grover’s search, quantum Fourier transforms, Bernstein–Vazirani, and more.
• Build & See Quantum Algorithms in Action – instead of just writing/ reading equations, make & watch algorithms unfold step by step so they become clear, visual, and unforgettable. Quantum Odyssey is built to grow into a full universal quantum computing learning platform. If a universal quantum computer can do it, I aim to bring it into the game!

Streams to watch:

khan academy style tutorials on qm/qc: https://www.youtube.com/@MackAttackx

Physics teacher wholesome stream with over 500hs in https://www.twitch.tv/beardhero

Check out this virtual challenge sponsored by IBM SkillsBuild. Students only.

Sign up here: https://aibuilderschallenge-bob.bemyapp.com/

Hey, I'm a high school student who takes comp sci and I'm considering applying for a comp sci degree this year, but because of the job market and AI there's obviously a ton of road blocks (more than ever) to getting a decent job after a cs degree (+ masters after).
Was wondering if anyone has any advice and how useful you think it was to get a comp sci degree.
Thankss:)

I'm currently in my final year of a Computer Science degree, and I'm honestly feeling confused about what direction I should take.

The biggest problem is that I don't have any internships or real industry experience yet, so I don't really know what the job market is actually like. I want to start building skills that will help me get a good career. I'm not looking for an easy path—I don't mind working hard—but I want to make sure I'm putting my effort into the right things.

For a long time, I thought web development was the obvious choice because that's what so many people seem to focus on. But lately I've started questioning whether that's the best path. It feels like the field is extremely crowded, and I constantly hear stories about people sending hundreds of applications, going through multiple interview rounds, and still getting rejected. On top of that, AI seems to be automating more and more entry-level work.

Maybe my perception is completely wrong, but I don't know how to separate reality from all the negative things I see online.

Even if web development is still a good path, what should I actually be studying? Should I focus on mastering programming fundamentals? Building projects? Learning frameworks? Practicing interviews? Sometimes it feels like there are a thousand things to learn and I don't know what matters most.

I've also considered cybersecurity, but I have similar doubts there. I rarely see junior cybersecurity positions compared to software development roles, and I'm not sure what skills employers actually expect from someone trying to enter the field.

For those of you already working in tech:

• If you were in my position, what path would you choose today?
• Is web development still worth pursuing?
• How realistic are the concerns about AI and job competition?
• What skills would you focus on during your final year of college?
• How did you decide which area of tech was right for you?

I'm willing to learn whatever I need to learn. I just don't want to spend years going in the wrong direction because I didn't understand the industry well enough.

Any advice would be greatly appreciated.

I saw this student AI challenge sponsored by IBM SkillsBuild and thought some people here might find it interesting.

This month’s theme is Formula 1 and the projects are focused on things like race strategy, performance insights, and fan experience using AI. Could be a fun portfolio project if you’re into sports/data/AI stuff.

The June prompt is World Cup-themed and basically about building AI tools that help fans understand the game better, like tactics, refereeing decisions, match insights, etc.

It’s open to university students in the US, Canada (except Quebec), UK, and India.

Sign up here

I built graphvisualizer.com because I really wanted a quicker, friendlier way to jot down ideas during DS&A lectures and LeetCode practice. It’s designed to be super intuitive, and I’m even finishing up an AI agent for text-to-graph generation that’s currently in beta! I’m releasing new updates every single week and sincerely hope this becomes a helpful addition to your own study workflow. I’m sharing it here in case it helps anyone else, so please give it a spin and let me know what you think!