This is exactly the kind of honest breakdown the PH community needs more of. We're going through a similar phase right now with Dealin an Australian classifieds platform focused on local transactions for cars, jobs, property, and services.
What's worked for us so far is hyper-local targeting. Instead of trying to compete nationally from day one, we focused on specific cities like Perth and Canberra first. The quality of listings improved because sellers actually knew their buyers were nearby.
One thing we're still figuring out converting browsers into active listers. Would love to know how you handled that early trust gap where buyers exist but sellers are hesitant to post.
Happy to share more about what we're building if anyone's curious.
I'm Muhammad, the creator of BidIQ. We just launched on Product Hunt today to help freelancers screen client risk history and write AI proposals directly inside their Upwork screen.
Building a browser extension that handles live DOM scraping, secure local storage, and real-time AI prompts was a fun technical challenge.
I'm online all day to reply to comments. Ask me anything about:
Like many people, I spend hours online every week reading about AI, startups, business, psychology, and technology.
Yet I kept running into the same problem:
There has never been more content available, but it has never felt harder to find something genuinely worth reading.
Every platform rewards more content, faster publishing, and more clicks. As a reader, I found myself opening dozens of tabs, saving articles I'd never return to, and scrolling through endless recommendations hoping to discover one insightful piece.
A few months ago, I started building my first MVP. It's a platform that helps YouTubers grow their channels using AI, SEO, and proven content strategies.
The thing is... everything is completely free. There are no paid features or subscriptions. I built it because I wanted to create something genuinely useful.
To be honest, we are still sleeplessly polishing the code for Novue. The global launch isn't officially live yet, but we couldn't wait to share a sneak peek.
When we started, we promised ourselves one thing: we will not launch another mediocre, overpriced chatbot. If it doesn t genuinely make a candidate sound like a C-suite executive, it s a failure.
We are fine-tuning the engine to its limits right now.
While you wait for the countdown, check out our master poster below. What is the #1 feature you want to see most in an AI interview coach? Drop it in the replies!
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 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.
Hey PH! We're building OpenClaw LLM Proxy and would love early feedback.
It's a drop-in OpenAI API replacement that scans every prompt and response for PII (SSN, credit cards, API keys) and injection attacks before they reach the provider. Block, redact, or log.
