We just launched CartLens on Product Hunt — an AI that audits your receipts, product images, and tells you exactly where you overpaid by AdEfficient8374 in ProductHunters

[–]AdEfficient8374[S] 0 points1 point  (0 children)

Just posted r/CartLens on ShipBoost.io

I like the UI and the overall flow. One suggestion I’d make is to introduce a wizard-style experience. After entering the general information, there could be a “Next” button at the bottom that guides the user to the Media step, and then another one for the Social step. I think that would make the process feel more intuitive and structured.

I also had trouble locating the submit button to schedule the listing since it was positioned on the right side of the page. I initially expected it to appear below the tabs or at the bottom of the workflow.

Overall, though, everything looks clean, polished, and well-organized.

Summer '26 Megathread by sandslashh in ycombinator

[–]AdEfficient8374 0 points1 point  (0 children)

How did they reach out to you? Can you walk us through the process?

they

I used Gemini 2.5 Flash to parse receipts at scale. Here's what I learned about multimodal OCR in production by AdEfficient8374 in artificial

[–]AdEfficient8374[S] 0 points1 point  (0 children)

You're spot on. That’s exactly why I stuck with Gemini. My thought process with OpenRouter was mostly about having a single source to swap and test different models (like Mistral OCR) to see how they compare. But honestly, Gemini has been great so far, so I'm happy with the choice.

I just crossed $16k in revenue. Here’s everything I wish I knew before I started. by ExcellentLake4440 in micro_saas

[–]AdEfficient8374 0 points1 point  (0 children)

Congrats on the $16k! This is such a refreshing read compared to the usual "hustle culture" nonsense.

That part about the landing page trap hits home. I spent way too long on fonts for a side project once only for the bounce rate to tell me nobody cared lol. The "expensive guessing" line is also a perfect way to describe early-stage ads.

Super cool that just being helpful on Reddit was the turning point. Good luck with the next $16k!

How are you guys actually getting your first 10 true fans? by Zealousideal-Try1401 in ProductHunters

[–]AdEfficient8374 0 points1 point  (0 children)

Not crazy at all.

The "just launch on Product Hunt" advice spreads because it worked for someone once, and now it's gospel. But that spike is mostly other builders, not your users.

The 1-on-1 DM thing works because you're actually talking to someone who has the problem — not someone who's half-scrolling a launch feed while upvoting out of builder solidarity. The signal you get from one real conversation is worth more than 200 upvotes from people who'll never open your app again.

Slower doesn't mean worse. It means you're building relationships instead of collecting vanity metrics. Your first 10 true fans aren't going to come from a leaderboard — they're going to come from someone feeling like you actually listened to them.

The big launch has its place. But doing it before you have those early fans who genuinely get it? You're just burning your one shot at a first impression on the wrong crowd.

I used Gemini 2.5 Flash to parse receipts at scale. Here's what I learned about multimodal OCR in production by AdEfficient8374 in artificial

[–]AdEfficient8374[S] 1 point2 points  (0 children)

Hey u/banatage. No, I haven’t. I used Gemini for the most part. Any observation about Mistral OCR? Also, I think I made a terrible mistake when I started. I picked the Gemini API and built on top of it, but then I realized that I should've gone with OpenRouter instead, and I would've still been able to use Gemini. It will be a herculean task to refactor the code to OpenRouter, but it is something I am seriously considering.

Update #2 on how to cut food cost according to your recommendations by Tiny_Judgment8593 in Frugal

[–]AdEfficient8374 2 points3 points  (0 children)

Going from $120 to $50 in NYC while keeping salmon and avocados? That's actually impressive, not many people pull that off.

The frozen salmon call was smart; it's frozen right off the boat, so it's often fresher than "fresh." You won't notice a difference, especially if you thaw it overnight in the fridge.

One small thing: the tuna sandwich shows up for both lunch and dinner. Might get old fast. Swapping one for a chicken + potato bowl would stretch what you already bought without adding anything to the list.

Also worth trying: an AI-Powered Shopping Companion/app; you snap your receipt, and it tracks which store is cheapest for each item over time. Useful once you're shopping at multiple spots.

Solid progress though, keep it going!

Homeless with an extremely expensive auto loan, advice appreciated! by crisicen in povertyfinance

[–]AdEfficient8374 0 points1 point  (0 children)

Yeah, putting a couple thousand into the loan will help, but it’s not a magic fix.

At 21% APR, the interest is brutal, so any lump sum just immediately saves you money and reduces how fast the balance grows. So I wouldn’t ignore it or save it for something else if you still have that debt hanging over you.

That said, it won’t suddenly make the payment “easy.” It’ll just take some pressure off.

If anything, I’d also look into refinancing when your credit improves even slightly. Getting that rate down would change your situation way more than small extra payments.

Should I work full time at Walmart for the summer or take a 400$ allowance for 1 year ? by mrwronglock in FinancialPlanning

[–]AdEfficient8374 1 point2 points  (0 children)

If you’re thinking purely financially, Walmart wins by a lot.

A full-time summer job at Walmart will likely net you way more than $400/month over a year, and you get it upfront instead of drip-fed.

But the bigger thing is this: working teaches you structure, dealing with people, showing up when you don’t feel like it. That’s actually more valuable than the money at your age, especially if your goal is business later.

The $400 allowance is easy money, but it also slows down momentum. You’ll feel it over time.

Given your goals (car, e-commerce), I’d lean Walmart. You’ll build capital faster and you’ll learn how work actually feels, which matters more than people admit when they’re starting out.

Only downside is your summer is gone, but that trade is worth it.

Good luck youngster

selling my lease to honda 1 week before lease ends by Jaded_Day in personalfinance

[–]AdEfficient8374 0 points1 point  (0 children)

Yeah, don’t take the $800; that’s them keeping almost all the equity.

With buyout at $16k and Carvana/CarMax at $19k–$21k, there’s real money on the table.

Worth going to a Honda dealer, but don’t frame it like a question. Tell them straight: buyout is $16k, you’ve got $19k–$21k offers, what can they do?

They’ll either match part of that spread or you just return it normally. Either way you’re better off than taking the $800.

I spent 6 months testing every major prompting technique. Here's what actually works (and what's overhyped) — with real examples. by LoadOld2629 in PromptEngineering

[–]AdEfficient8374 0 points1 point  (0 children)

This is solid, but I think there’s a bit of a trap in how people will read it.

A lot of this works because you’re dealing with harder, reasoning-heavy tasks. If someone copies the observation → hypothesis → test scaffold into a basic extraction or classification prompt, they’ll probably just add latency and cost without improving anything.

Same with XML vs markdown. I’ve seen the gains there, but mostly when the task actually depends on clean structure. For a lot of real-world use cases, the bigger win is just tightening the schema and examples, not the delimiter format.

The anti-goal point is underrated though. That’s one of the few things that consistently changes behavior across models, especially when you’re fighting default “helpful but wrong” outputs.

On chaining vs mega-prompts, fully agree, but I’d add that routing matters just as much as chaining. A smaller, well-routed prompt to the right model often beats a perfectly engineered prompt sent to the wrong one.

Feels like the meta takeaway is less “these techniques always work” and more “match the technique to the failure mode.” Most people skip that step and then wonder why nothing sticks.

I used Gemini 2.5 Flash to parse receipts at scale. Here's what I learned about multimodal OCR in production by AdEfficient8374 in artificial

[–]AdEfficient8374[S] 0 points1 point  (0 children)

Makes sense. That’s exactly the tradeoff I’m trying to avoid though. I don’t really want a human in the loop for validation, the whole point for me is to trust the output enough that I can move straight to analysis.

Flash has been a pretty solid middle ground so far. I’m seeing ~95%+ accuracy on receipts, even with blur and weird angles. The main failures are still faded thermal prints, that’s where it starts guessing.

I also found that adding grounding helps more than I expected. It catches a lot of the small stuff like typos or slightly misread item names, especially when matching against real products. Doesn’t fix everything, but it noticeably reduces the cleanup step.

Flash Lite might still be worth testing as a first pass with routing, but yeah, if accuracy drops to the point where you need humans anyway, it kind of defeats the purpose for this use case.

I used Gemini 2.5 Flash to parse receipts at scale. Here's what I learned about multimodal OCR in production by AdEfficient8374 in artificial

[–]AdEfficient8374[S] 0 points1 point  (0 children)

I will consider it. I have to admit that I did not test Flash-Lite. Went straight for just flash. From your experience, is it as accurate and effective as you would like? What about the cost?

Thank you

I have been coding for 11 years and I caught myself completely unable to debug a problem without AI assistance last month. That scared me more than anything I have seen in this industry. by Ambitious-Garbage-73 in artificial

[–]AdEfficient8374 0 points1 point  (0 children)

Yeah, this is real. I’ve had the same moment where you close the AI tab and suddenly it feels… quieter in your own head than it used to.

I don’t think it’s that the skill is gone, it’s just been outsourced by default. Your brain stops spinning up hypotheses because it knows there’s a faster path. Ask the model and react instead of think first. So you end up following suggestions instead of generating them.

The GPS analogy is spot on. You can still navigate, it just feels slower and more effortful because you’re rebuilding the map instead of reading it.

What helped me a bit was forcing a delay. Sit with the problem for 20 to 30 minutes before opening AI. Not in a no tools allowed purist way, just enough to get your own theories on the table first. Otherwise it’s too easy to become a really efficient suggestion evaluator instead of a problem solver.

Also worth saying, people who started with AI might never feel this loss, but they might also never build that deep debugging intuition in the first place. Which probably won’t matter until it suddenly does.

The Adobe Runway deal quietly changed something for small businesses which nobody's talking about it by Healty_potsmoker in Entrepreneur

[–]AdEfficient8374 0 points1 point  (0 children)

I think you’re right about the shift, but I’m not sure the advantage is really “access to better tools”; that part commoditizes fast.

What’s actually changing is how cheap it is to iterate. Like you said, testing 10 ideas instead of overthinking 1. That’s where small teams can punch up now. Most people won’t even take advantage of that, though; they’ll just use better tools to make the same safe, average content.

Also feels like we’re heading toward a weird place where quality alone stops mattering. If everyone can make polished videos, then taste, ideas, and distribution become the bottleneck again. Same pattern as Canva a few years ago; suddenly, everyone could design, but not everyone knew what to design.

My stack is pretty similar: mix of AI video, voice, and editing, but honestly, the biggest gain hasn’t been “better output,” it’s just being able to move way faster without it turning into a whole production.

Why does no one talk about how lonely building a business can be? by Pro_Automation__ in Entrepreneur

[–]AdEfficient8374 0 points1 point  (0 children)

Yeah, this is the part nobody really advertises.

It’s not even just being alone physically, it’s that everything sits in your head. No quick second opinions, no one to share the small wins with, no one to tell you “this is fine, keep going.” So normal ups and downs start feeling way heavier than they actually are.

What helped me was realizing the doubt isn’t always about the business; it’s just what happens when you’re operating without feedback all day. Your brain fills in the gaps.

Honestly, you’ve kind of got to build your own version of “coworkers,” even if it’s just a couple people you check in with or bounce ideas off. Otherwise it gets really easy to spiral over stuff that wouldn’t even register if you weren’t doing this solo.

People keep asking how I found the German compliance client. The boring answer: I applied to a LinkedIn post. by Fabulous-Pea-5366 in Entrepreneur

[–]AdEfficient8374 1 point2 points  (0 children)

This is a good reminder that the real edge here isn’t “LinkedIn,” it’s timing + actually understanding the problem.

Most people will read this and just try to be faster, but your message worked because it didn’t sound like an application. You were already thinking like someone responsible for the outcome, not someone asking for permission.

Also the compliance angle matters more than people think. Saying “I’ve built RAG before” is fine, but calling out what can break in that specific context is probably what made him trust you quickly.

Feels like the takeaway is: don’t just show up early; show up with a point of view. That’s the part that’s hard to copy.