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!
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.
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
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.
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.
[ 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.
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.
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
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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