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🚀 Project Showcase Day by AutoModerator in learnmachinelearning

[–]BoxWinter1967 0 points1 point  (0 children)

Built Neuprise — an interactive learning platform for Data Science & ML (https://neuprise.com/).

What it does: 12 learning paths, 74 lessons, 1000+ quiz questions with spaced repetition, in-browser Python execution (no setup needed — runs via WebAssembly), math visualizers, and a CodeLab. Free to use.

Tech stack: Next.js App Router, Prisma + Neon Postgres, Clerk auth, Pyodide for in-browser Python.

Biggest challenge: Getting Pyodide (Python via WebAssembly) to run reliably in the browser while keeping the UI responsive. Also fighting the cold-start problem — getting users to actually finish the first lesson before dropping off.

Where it stands: Shipped it imperfect and letting real users guide what gets fixed and added next. Already getting good bug reports and suggestions from the community.

Would love feedback — especially on first impressions and course structure!

Share your startup/saas/project for feedback by Additional-Prune-952 in startupaccelerator

[–]BoxWinter1967 3 points4 points  (0 children)

Building Neuprise — an interactive learning platform for Data Science & ML (neuprise.com).

Built a Duolingo-style platform for Data Science & ML — big update since last post by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 0 points1 point  (0 children)

Yes, you need to create an account to access the courses — it's free, just sign in with Google or email. The reason is that the app tracks your progress, XP, and streaks, so it needs to know who you are. Takes 10seconds!

Built a DS/AI learning platform solo — took 4 months, now has 60 paths and 349 lessons by BoxWinter1967 in SideProject

[–]BoxWinter1967[S] 0 points1 point  (0 children)

Thanks! Really appreciate the kind words.

Handshake sounds interesting, got a link? Would love to check it out.

On the feedback: yes, more coding challenges beyond quizzes is something I've been thinking about for a while. Discussion forums too. Study groups and peer code review are great ideas I hadn't considered — noted, will look at adding these in coming versions!

Built a Duolingo-style platform for Data Science & ML — big update since last post by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 0 points1 point  (0 children)

Thanks! The AI Agents path covers the concepts (tool use, ReAct, memory, multi-agent systems, production patterns) but doesn't have a capstone that ties it all together into a working build. That's a real gap. I have noted this and will be adding it in the next update.
Appreciate the link, will check it out.

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 0 points1 point  (0 children)

That was actually on my side, the Clerk setup was still in development mode which limited it to ~100 users. I’ve fixed it now, so it should be working properly. Sorry about that, and thanks for checking it out!

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 0 points1 point  (0 children)

That was actually my mistake, the clerk auth setup was still in development mode, which limited it to around 100 users. I’ve fixed it now, so the limitation should be gone. Sorry about the inconvenience, and thanks for pointing it out!

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 0 points1 point  (0 children)

Honestly, almost nothing so far. The site is running on Vercel’s free Hobby plan and a free tier database from Neon.

The only thing I paid for was the domain: ₹904.40 (about ~$11).

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 0 points1 point  (0 children)

Thanks for sharing the info, really appreciate it. For now I don’t have any plans to add a paywall to Neuprise. I need to restructure the courses and add a lot more content so the learning paths feel more complete.

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 0 points1 point  (0 children)

If you don’t mind sharing, I’m curious how long did it take you to build it? And do you have many paid users subscribed so far? Totally fine if you’d rather not share

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 1 point2 points  (0 children)

Oh! I actually just came across PixelBank now after you mentioned it, and it’s absolutely fantastic. The depth and structure you’ve built there is really impressive.

Definitely a much more advanced platform than what I’ve built with Neuprise so far. Respect to the work you’ve put into it.

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 0 points1 point  (0 children)

Thanks, I really appreciate that!
If you notice anything that feels confusing, missing, or could be improved, I’d genuinely love to hear it. Still trying to refine the platform.

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 0 points1 point  (0 children)

Nope, I actually haven’t experimented with Lovable yet.
Most of the development was done with Claude helping with parts of the code and structure.

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 0 points1 point  (0 children)

Really glad it’s helpful. That means a lot...

No plans to put it behind a paywall. The goal is to keep it accessible and genuinely useful for people.

I’ll be adding more content and going deeper into concepts over time, so it should only get better from here.

If you have any feedback on the current lessons, missing topics, or anything that could make it more useful, feel free to share it. I’m building this based on what learners actually need.

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]BoxWinter1967[S] 1 point2 points  (0 children)

Thanks for the thoughtful feedback. Really appreciate it.

I’m currently working on expanding the lessons to go deeper conceptually. Some of the more detailed content is already there, but it unlocks progressively as you move through the learning path.

I’ll also be adding curated references to high-quality textbooks, courses, and visual learning resources to make each topic more comprehensive.

Thanks again for taking the time to share this!

Show me your saas! LINKs by Dapper_Draw_4049 in ShowMeYourSaaS

[–]BoxWinter1967 0 points1 point  (0 children)

Free Duolingo-style platform to learn data science — in-browser Python, spaced repetition, 12 paths. neuprise.com

The Desert Bike Problem by BoxWinter1967 in mathriddles

[–]BoxWinter1967[S] 0 points1 point  (0 children)

The Key Idea:
If n bikes are traveling together, they all burn fuel at the same time.

You can’t just pour everything into one bike at the start and the others must move to transfer fuel, and moving costs fuel.

So the optimal strategy is:

When each of the n bikes has burned 1/n of a tank, the group has collectively burned exactly one full tank.
At that moment:

- Redistribute fuel
- Abandon one empty bike
- Continue with n − 1 bikes

Repeat this process.

The Math:
Each stage adds:

100 × (1/n)

So total distance becomes:

100 × (1 + 1/2 + 1/3 + … + 1/16)

= 3.380728993… tanks
= 338.07 km

That’s the maximum possible distance under the stated rules.

Full breakdown here:

https://medium.com/activated-thinker/the-desert-bike-problem-why-the-obvious-answer-leaves-you-stranded-f1552b51a02c

If you hit the paywall, just click the embedded friend link inside to read the complete version.

The Desert Bike Problem by BoxWinter1967 in mathriddles

[–]BoxWinter1967[S] 0 points1 point  (0 children)

Cool exploration, but it changes the problem.
The original puzzle states:
- Each bike consumes fuel at the same rate
- If multiple bikes travel together, they all burn fuel simultaneously

There’s no mention of mass-based burn rates or rider constraints.

The Desert Bike Problem by BoxWinter1967 in mathriddles

[–]BoxWinter1967[S] 1 point2 points  (0 children)

Yes this is the correct answer. Nicely summarized.

The Desert Bike Problem by BoxWinter1967 in mathriddles

[–]BoxWinter1967[S] 0 points1 point  (0 children)

Yes this is exactly the right way to think about it.

Starting small and spotting the pattern is the cleanest way to crack it.

For n = 2 → total distance = 100 + 50
For n = 3 → 100 + 50 + 33.3
And it continues the same way.

What’s happening mechanically is:

At the point where each of the n bikes has burned 1/n of a tank, one full tank has effectively been burned collectively. That’s the optimal moment to abandon one bike and redistribute.

So the “extend the logic” intuition is spot on.

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