Self-Promotion
p/self-promotionShow off what you're working on
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2mo ago

Java interview warm-up: What happens when you remove an item inside this enhanced for-loop?

Preparing for a Java switch started feeling like a second full-time job.

Core Java, collections, concurrency, streams, JVM, Spring, DSA, system design I would study one topic for a few days, get busy with work, and lose momentum again.

The problem wasn t finding more material. It was revising consistently.

-> preppingQuiz, a free beta that gives you a short Java quiz each day
https://preppingquiz.vercel.app
I d genuinely appreciate feedback from you!

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6mo ago

We built a product. Then watched users vanish without a word. So we fixed that.

I have been quietly building something for the past few months and I think it is time to talk about it.

We are getting ready to launch Flidget on Product Hunt soon.

Here is the problem we are solving.

You spend thousands acquiring users. They sign up. They try your product. And then they just disappear. No feedback. No complaint. Just gone.

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2mo ago

Residential vs datacenter proxies — when to use each

One of the most common questions I see from teams building data pipelines: "Should I use residential or datacenter proxies?" The answer isn't one or the other it's knowing when to use each. Here's a framework that's saved us a lot of wasted spend.

1. Start with datacenter, escalate to residential

Datacenter proxies are 3 4 faster and significantly cheaper. Test 100 requests against your target with datacenter IPs first. If your success rate stays above 95%, stop there. Only bring in residential for the requests that actually fail. This hybrid approach keeps costs low without sacrificing reliability.

2. Residential for protected targets, datacenter for everything else

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2mo ago

BARE : A minimalist chat concept for privacy conscience and tech aware folks.

BARE : a minimalist chat concept for people fed up with data surveillance, data selling, and operational complexity of current players. We need a minimalist approach for current state of messaging apps

Current messaging applications are facing feature bloat, collect data and are becoming less usable with every passing day. Some applications respect privacy to an extend but then they face usability and feature bloat. So far there is no single service that can strike a good balance.

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2mo ago

LastBro.com: A Czech Social Platform Connecting Community, Communication and AI Assistance

How Six Years of Helping People Inspired a Multilingual AI Platform and a New Generation Social Network

At a time when most social networks compete primarily for user attention and artificial intelligence is rapidly becoming part of everyday life, one project is attempting to combine both technologies with a single goal: helping people.

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2mo ago

[ AIRCache] AI Response Cache Chatbot

Hi Product Hunt

I made a feature [ AI Response Cache Chatbot ] of [ airespaker ] AI Response Taker. Users can take AI response from system's cache, user's cache or directly from AI (Google Gemma). Users can take URIs of displaying AI response or screenshot of it. By tapping 'C' button, URI of displaying AI response is copied to clipboard. By tapping 'S' button, URI of screenshot of AI response is copied to clipboard.

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5mo ago

Neuron Fury — Train Your Brain at Speed

https://play.google.com/store/ap...

I wanted to build something that actually feels intense to play not just another brain training app.

Neuron Fury is a high-pressure cognitive game where mistakes cost you instantly.

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5mo ago

We built an email verification tool that hits 99.8% accuracy — here's why most tools fall short

Hey Product Hunt community

I'm the maker of Leads Sentry an email verification tool we built after getting burned by high bounce rates that were killing our sender reputation.

Most email verifiers do a simple syntax check and call it done. We weren't satisfied with that, so we built a 6-layer verification engine that checks:

Syntax validation

Krilarr - A verifiable proof of work and experience at your finger tips

Here's something nobody in tech talks about openly: Almost every serious tech role, frontend, full-stack, product design, DevOps, asks for a portfolio at some point in the hiring process. And yet, the majority of developers either: Never build one at all Start one and abandon it halfway Have one from 2-3 years ago that no longer reflects what they can now do This isn't laziness. It's the nature of the craft. Developers are always building for other people. The client's product. The startup's MVP. The company's internal tool. When the work is done, it lives on someone else's domain, or worse, behind a login screen you can't share. So when a recruiter or client asks "can I see your work?", the honest answer is complicated. The work exists. The proof doesn't. And that gap costs people jobs. I've been thinking about this problem for a while, which is why I built Krilarr - a verifiable developer portfolio platform that lets your work speak with evidence, not just screenshots. With Krilarr, developers can: Showcase real projects with verified proof of contribution Generate AI-powered proposals that match their actual skill set Build a living portfolio that grows with them, not one they have to rebuild from scratch every 18 months Your skills are not the problem. Your proof is. If you're a developer who's been putting off the portfolio thing, or one whose current portfolio no longer represents what you're capable of - Krilarr was built for you. Try it free for 14 days (Pro tier included): krilarr.vercel.app Drop a comment if this hit close to home. I'd love to hear how you've been handling the portfolio and proof of work/experience problem. #developers #portfolio #techjobs #krilarr #careergrowth #software #opentowork #hiring
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5mo ago

Harv - an AI companion that checks in on how you're doing before it tells you what to do.

Hey PH community,

We're building Harv - and our pre-release is dropping on the Play Store very soon.

The problem we kept running into is that every productivity app treats you like a machine. Lists, reminders, dashboards. None of it accounts for the days when everything goes sideways.

Harv reads where you're at emotionally before it does anything else. On your worst days, it grounds you. On your best days, it keeps you sharp.
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