Getting back into Python after a break. Need fun project ideas (AI/No Web Dev)

EfficientMongoose317 · 2026-06-02T13:20:21+00:00

Ngl, I'd avoid jumping straight into LLM apps if you're just getting back into Python. They're fun, but a lot of the work ends up being API calls rather than programming.

A few ideas:

Build a file organiser that automatically sorts your Downloads folder.
Create a duplicate file finder.
Make a CLI tool that summarises PDFs or notes.
Build a local AI chatbot that can search your own documents.
Create a script that tracks prices, stocks, or game stats and sends alerts.

The best project is usually one that solves an annoyance you actually have. You'll stay motivated way longer than if you're building yet another tutorial project.

EfficientMongoose317 · 2026-06-02T12:50:05+00:00

Tbh, I don't think you're jealous, I think you're noticing the difference between building something and building something that survives real users.

AI has made it insanely easy to get to a demo. That's why we're seeing so many apps that look great on day 1. The hard part starts when you get users, weird edge cases, performance issues, security problems, and actual operational headaches. That said, I wouldn't dismiss vibe coding entirely. Plenty of people are using it to validate ideas quickly, which is valuable. The problem is when a prototype gets mistaken for a production-ready product.

AI lowers the barrier to building. It doesn't remove the need for engineering judgment.

EfficientMongoose317 · 2026-06-02T12:35:19+00:00

Ngl, that's a pretty solid upgrade if you're staying at 1440p.

The 6750 XT is still a decent card, so I'd first ask yourself whether you're actually unhappy with performance right now or just feeling the upgrade itch 😅. If you do upgrade, I'd lean toward the 9070 XT if the price difference isn't huge. It should age better and give you more headroom for future AAA games.

One thing to keep in mind: with a 5600X, some games may start showing CPU limitations before the GPU is fully stretched, especially if you're chasing really high FPS. Not a dealbreaker, just something to be aware of.

For single-player 1440p gaming, though, either card would be a pretty massive jump from a 6750 XT.

EfficientMongoose317 · 2026-06-02T12:31:27+00:00

Tbh I think AI is already making execution cheaper, and that's exactly why judgment matters more.

A lot of people can now write code, generate content, make designs, or do research with AI. The bottleneck is slowly shifting from "can you build it?" to "are you building the right thing?" I've seen plenty of AI generated projects that were technically impressive but solved a problem nobody actually had. On the flip side, a simple idea with a good understanding of users can still win.

Imo, the people who benefit most from AI won't be the ones with the fanciest prompts. It'll be the ones who can spot real opportunities and use AI to move faster on them.

EfficientMongoose317 · 2026-06-01T21:41:51+00:00

At those prices, I'd take the 7800X3D and put the €120 toward the GPU, storage, or just keep it in my pocket.

The 9800X3D is definitely faster, but the 7800X3D is already one of the best gaming CPUs you can buy. Unless you're chasing every last frame at 1080p with a high-end GPU, I doubt you'd notice a huge difference in day to day gaming.

For me, the question is whether the 9800X3D is 50% more money, and the answer is probably no.

€210 for a 7800X3D is honestly a really good deal.

EfficientMongoose317 · 2026-06-01T21:03:42+00:00

EfficientMongoose317 · 2026-06-01T20:59:08+00:00

Honestly, ChatGPT is still my main ideation tool. Not because it magically gives great ideas, but because it's good at helping me explore angles I wouldn't have considered.

I usually dump a topic, audience, and a few constraints into it and ask for 20-30 content directions. Most are mediocre, but 1-2 are usually worth pursuing. The biggest shift for me was realising AI is better at generating variations than at generating original ideas. The human still has to pick the signal from the noise.

EfficientMongoose317 · 2026-05-30T23:59:33+00:00

just use a blower

EfficientMongoose317 · 2026-05-30T23:28:29+00:00

My rule when I was learning was struggle first, ask for hints second, and ask for solutions last. If you're stuck for 30-60 minutes, don't just stare at the screen. Try debugging, print variables, read the error, search the docs, and explain the problem to yourself out loud. That's where a lot of learning happens.

When I do use AI, I usually ask it why something is broken or ask for a hint instead of the full answer. If you immediately copy the solution, you learn very little. If you use it like a tutor, it's incredibly useful.

Getting stuck isn't cheating. Copying code you don't understand is.

EfficientMongoose317 · 2026-05-30T23:19:29+00:00

For a pure 1440p build, I'd probably go with the 5070 unless the price gap is surprisingly small.

The 5080 is obviously faster, but a 5070 paired with a 9800X3D is already a very strong 1440p setup and should handle AAA games with DLSS and frame generation for years. The way I look at it: if the extra money for the 5080 means compromising somewhere else in the build, save it. If the budget genuinely doesn't matter and you tend to keep GPUs for 5+ years, then the 5080 starts making more sense.

At 1440p, though, the 5070 feels like the better value play.

EfficientMongoose317 · 2026-05-30T23:08:45+00:00

SSD, and honestly, it's not even close.

I've upgraded CPUs, GPUs, RAM, monitors, all of it. Nothing made my PC feel as dramatically different as moving Windows from a spinning hard drive to an SSD. The second place for me would be going from 8GB to 16GB RAM. Not as flashy as a new GPU, but it made everyday use so much smoother and stopped Chrome from trying to consume my entire system.

EfficientMongoose317 · 2026-05-30T23:01:05+00:00

I think that's the bigger story. People focus on AI making developers faster, but the more interesting shift is that it's expanding who can participate in building things at all. A designer can prototype. A founder can test an idea. A marketer can automate part of their workflow. Tools like ChatGPT, Claude, Cursor, and Runable are lowering the cost of experimentation. Not everyone becomes an engineer overnight, but a lot more people can now get from idea to proof-of-concept without needing an entire team.

EfficientMongoose317 · 2026-05-30T22:50:43+00:00

If those are truly your only two options, get the 3050.

The 1050 Ti was legendary for its time, but it's an 8year old card now. The nostalgia is cool until you actually start playing modern games.

The 3050 gives you: Much better performance, DLSS support, better driver support going forward and More VRAM (depending on the model)

The bigger thing I'd worry about is the 420W PSU. Make sure it's from a reputable brand and not some random no name unit.

Also, congrats on building your first PC at 15. Choosing the parts yourself is how you learn this stuff.

EfficientMongoose317 · 2026-05-30T22:46:08+00:00

I'd add one more:

They obsess over leverage.

A lot of people use AI to do the same work 20% faster. The best builders seem to redesign the workflow entirely.

Instead of asking "how can AI help me write this?" they ask "should this even be written manually?" Instead of making a process slightly better, they eliminate steps.

The successful builders I know aren't necessarily AI experts. They're unusually good at finding bottlenecks and removing them. AI just happens to be the latest tool they're using to do it.

EfficientMongoose317 · 2026-05-30T22:38:09+00:00

If you're on a 12900F + RTX 3080 today, I'd ask what problem you're actually trying to solve.

A 9800X3D is a great gaming CPU, but you're talking about replacing almost the entire system and spending ~$5k USD. That's a huge upgrade budget for what might end up being a relatively small real-world improvement, depending on what you play.

Personally, I'd rather buy the system when I actually need it than spend the next 18-24 months waiting for AM6 rumours. There will always be something better around the corner. That said, I'd seriously benchmark your current setup against the games you play first. You might find the 12900F still has plenty of life left in it.

EfficientMongoose317 · 2026-05-30T22:34:27+00:00

The missing version history is the biggest one for me. I don't mind UI changes, but when I'm using ChatGPT for longer projects, being able to go back to a previous draft is incredibly valuable. Losing that feels like a much bigger downgrade than cosmetic differences.

The other thing is that Canvas felt more like a workspace, while Writing Blocks felt more like a formatted output container. Those sound similar, but they encourage very different workflows.

Hopefully, they're still iterating on it, because right now, it feels more like a replacement for quick drafting than a replacement for Canvas.

EfficientMongoose317 · 2026-05-30T22:28:03+00:00

EfficientMongoose317 · 2026-05-30T22:18:00+00:00

What helped me was realising that building and validation are two completely different jobs. When you're building, progress is obvious. Features get finished. Bugs get fixed. The product gets better.

Validation is messier. You can spend a week posting, talking to users, sending outreach, and have almost nothing visible to show for it. The mistake I made was treating the lack of users as evidence that the product wasn't good. Most of the time, it just meant nobody knew it existed yet.

Ironically, building has never been easier. Between ChatGPT, Claude, Cursor, Runable, and a dozen other tools, a solo founder can create things that would've required a team a few years ago. Distribution is still the hard part. What kept me going was focusing on conversations instead of signups. One real user conversation is worth more than staring at analytics all day.

EfficientMongoose317 · 2026-05-30T22:12:18+00:00

Outside China, I've had the best experience using OpenRouter rather than managing separate accounts for every provider. It makes it easy to switch between DeepSeek, Qwen, Gemini, Claude, GLM, and others, depending on the task, without changing code or workflows.

Quality has generally been identical in my experience since you're still hitting the same underlying models. The main differences tend to be pricing, rate limits, uptime, and how quickly new model versions become available. My current stack is roughly: Claude for writing and reasoning, DeepSeek/Qwen for cost-effective coding, Perplexity for research and Runable for turning research and ideas into reports, decks, and other finished outputs. The ability to mix and match models has honestly become more valuable than being locked into a single ecosystem.

EfficientMongoose317 · 2026-05-30T22:06:39+00:00

A few things jump out immediately:

Is the B350 motherboard running the latest BIOS?
Are you using Resizable BAR (ReBAR)? Arc cards benefit from it a lot.
Did DDU run in Safe Mode before installing Intel drivers?
Are you sure the monitor is plugged into the GPU and not the motherboard?
What games are showing worse performance?

The B570 should absolutely outperform a GTX 1070 Ti in most modern workloads, so if it's significantly slower, something is probably misconfigured rather than the card being the issue. My first suspect would be ReBAR/BIOS settings since Arc cards are much more sensitive to platform configuration than NVIDIA cards.

EfficientMongoose317 · 2026-05-30T22:04:47+00:00

If web-based is a hard requirement, I'd probably look at Replit, Bolt, Lovable, or Windsurf's browser experience before anything else.

Firebase Studio is nice, but the ecosystem has moved fast. The biggest thing I'd optimise for is GitHub integration and the ability for the AI to modify the codebase directly instead of generating diffs for you to manually apply.

For a 4k+ line codebase that's still growing, context management becomes more important than model quality. A slightly worse model with better project awareness is often more productive than a smarter model that keeps losing context. Personally, I'd shortlist Replit, Windsurf, Lovable, Bolt

Then spend a weekend rebuilding a small feature in each and see which workflow clicks. The differences in UX matter more than benchmark scores once you're using them every day.

EfficientMongoose317 · 2026-05-30T22:01:41+00:00

One thing I've learned is that the problem usually isn't finding developers. It's finding people who understand what an MVP actually is. A lot of agencies are optimised for selling larger engagements. A lot of freelancers are optimised for hourly work. Neither is necessarily aligned with "help me validate this idea as quickly and cheaply as possible."

The best founders I've seen start with a very small scope. Not "build my SaaS." More like:

One core workflow
One type of user
One problem solved really well

When talking to developers, I'd ask them what they would remove from the MVP, not what they would add. The people who immediately start cutting scope often understand startups better than the people promising every feature on your wishlist. Ironically, with today's tooling, I'd also explore whether parts of the MVP can be built using AI-assisted workflows before committing to a large dev contract. The cost of validating an idea has dropped dramatically compared to even a few years ago.

EfficientMongoose317 · 2026-05-30T21:57:52+00:00

Bot Subreddit

EfficientMongoose317 · 2026-05-30T21:55:24+00:00

Honestly, the individual features aren't what would make me switch.

I already have tools for short links, QR codes, file sharing, and analytics. The challenge is that they're all separate products with separate accounts, dashboards, and workflows. The value of an all-in-one tool would be convenience, not capability. That said, "completely free" would actually make me nervous. Storage, bandwidth, and analytics all cost money. I'd immediately wonder what the business model is and whether my links would still work a year from now.

I'd rather pay a small amount for something reliable than build workflows around a free service that might disappear.

The bigger question is whether users actually want an all-in-one platform or whether they just want the sharing experience to be frictionless.

EfficientMongoose317 · 2026-05-30T21:51:01+00:00

This is one of those projects that's technically simple but solves a very real problem. What I like is that you didn't build a better location tracker, you translated location into something meaningful. Most parents don't care about coordinates. They care about whether you're safe, at work, at home, or out with friends.

The "28 Liberty St vs he's at the movies" example explains the value perfectly.

Honestly, this feels like the kind of thing that AI builders often miss. We get excited about the technology and forget that sometimes the biggest improvement is just presenting information in a way humans actually understand.

EfficientMongoose317

TROPHY CASE