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The Evolution of the Interface

https://www.asktog.com/columns/038MacUITrends.html
1•dhruv3006•1m ago•0 comments

Azure: Virtual network routing appliance overview

https://learn.microsoft.com/en-us/azure/virtual-network/virtual-network-routing-appliance-overview
1•mariuz•1m ago•0 comments

Seedance2 – multi-shot AI video generation

https://www.genstory.app/story-template/seedance2-ai-story-generator
1•RyanMu•4m ago•1 comments

Πfs – The Data-Free Filesystem

https://github.com/philipl/pifs
1•ravenical•8m ago•0 comments

Go-busybox: A sandboxable port of busybox for AI agents

https://github.com/rcarmo/go-busybox
1•rcarmo•9m ago•0 comments

Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery [pdf]

https://research.nvidia.com/labs/nemotron/files/NVFP4-QAD-Report.pdf
1•gmays•9m ago•0 comments

xAI Merger Poses Bigger Threat to OpenAI, Anthropic

https://www.bloomberg.com/news/newsletters/2026-02-03/musk-s-xai-merger-poses-bigger-threat-to-op...
1•andsoitis•10m ago•0 comments

Atlas Airborne (Boston Dynamics and RAI Institute) [video]

https://www.youtube.com/watch?v=UNorxwlZlFk
1•lysace•11m ago•0 comments

Zen Tools

http://postmake.io/zen-list
1•Malfunction92•13m ago•0 comments

Is the Detachment in the Room? – Agents, Cruelty, and Empathy

https://hailey.at/posts/3mear2n7v3k2r
1•carnevalem•13m ago•0 comments

The purpose of Continuous Integration is to fail

https://blog.nix-ci.com/post/2026-02-05_the-purpose-of-ci-is-to-fail
1•zdw•15m ago•0 comments

Apfelstrudel: Live coding music environment with AI agent chat

https://github.com/rcarmo/apfelstrudel
1•rcarmo•16m ago•0 comments

What Is Stoicism?

https://stoacentral.com/guides/what-is-stoicism
3•0xmattf•17m ago•0 comments

What happens when a neighborhood is built around a farm

https://grist.org/cities/what-happens-when-a-neighborhood-is-built-around-a-farm/
1•Brajeshwar•17m ago•0 comments

Every major galaxy is speeding away from the Milky Way, except one

https://www.livescience.com/space/cosmology/every-major-galaxy-is-speeding-away-from-the-milky-wa...
2•Brajeshwar•17m ago•0 comments

Extreme Inequality Presages the Revolt Against It

https://www.noemamag.com/extreme-inequality-presages-the-revolt-against-it/
2•Brajeshwar•17m ago•0 comments

There's no such thing as "tech" (Ten years later)

1•dtjb•18m ago•0 comments

What Really Killed Flash Player: A Six-Year Campaign of Deliberate Platform Work

https://medium.com/@aglaforge/what-really-killed-flash-player-a-six-year-campaign-of-deliberate-p...
1•jbegley•19m ago•0 comments

Ask HN: Anyone orchestrating multiple AI coding agents in parallel?

1•buildingwdavid•20m ago•0 comments

Show HN: Knowledge-Bank

https://github.com/gabrywu-public/knowledge-bank
1•gabrywu•26m ago•0 comments

Show HN: The Codeverse Hub Linux

https://github.com/TheCodeVerseHub/CodeVerseLinuxDistro
3•sinisterMage•27m ago•2 comments

Take a trip to Japan's Dododo Land, the most irritating place on Earth

https://soranews24.com/2026/02/07/take-a-trip-to-japans-dododo-land-the-most-irritating-place-on-...
2•zdw•27m ago•0 comments

British drivers over 70 to face eye tests every three years

https://www.bbc.com/news/articles/c205nxy0p31o
38•bookofjoe•27m ago•13 comments

BookTalk: A Reading Companion That Captures Your Voice

https://github.com/bramses/BookTalk
1•_bramses•28m ago•0 comments

Is AI "good" yet? – tracking HN's sentiment on AI coding

https://www.is-ai-good-yet.com/#home
3•ilyaizen•29m ago•1 comments

Show HN: Amdb – Tree-sitter based memory for AI agents (Rust)

https://github.com/BETAER-08/amdb
1•try_betaer•30m ago•0 comments

OpenClaw Partners with VirusTotal for Skill Security

https://openclaw.ai/blog/virustotal-partnership
2•anhxuan•30m ago•0 comments

Show HN: Seedance 2.0 Release

https://seedancy2.com/
2•funnycoding•30m ago•0 comments

Leisure Suit Larry's Al Lowe on model trains, funny deaths and Disney

https://spillhistorie.no/2026/02/06/interview-with-sierra-veteran-al-lowe/
1•thelok•30m ago•0 comments

Towards Self-Driving Codebases

https://cursor.com/blog/self-driving-codebases
1•edwinarbus•31m ago•0 comments
Open in hackernews

My project made me $18,000 in 7 months. Here's what I did differently this time

5•OmPatel5•6mo ago
I started building side projects a little over a year ago.

Some of them got a few users, but they never made money. I kept running into the same issue: I was building without knowing if people actually wanted what I was making.

My latest project is different :)

I launched my project (bigideasdb.com) 7 months ago, and it made $18,000 in revenue within that time. My most successful product by far.

Here's what I did differently this time:

1. Building a habit of collecting problems

I created a habit of constantly writing down problems and pain points, whether it was something I personally experienced or something I saw others struggle with online.

I use a simple notes system on my phone and just add problems whenever something clicks.

When it came time to build a new project, I had dozens of validated problems to choose from. Most weren't great, but a few stood out. BigIdeasDB was one of them.

2. Validating before building anything

This was the biggest difference-maker.

Instead of immediately building the product, I spent time figuring out if it was something others would actually pay for.

I shared the idea on Reddit and Twitter, reached out to founders, and asked questions like:

Do you struggle to find good product ideas?

Would you use a database of validated problems scraped from real sources like Reddit, G2, and Upwork?

How much would you pay for something like this?

The responses were overwhelmingly positive. That gave me the confidence to move forward.

3. Listening to users religiously

Once I launched the MVP, I stayed close to my users. I asked them:

What's missing from the platform?

What would help you find better problems to solve?

What features would make you upgrade?

This approach made it so much easier to know what to build next. I didn't waste time guessing, I just built what users asked for.

4. Obsessing over metrics

I started tracking everything: website conversion rates, user activation behavior, and upgrade funnels.

I could see exactly:

How many visitors converted to users

How many of those became paying customers

What actions made people more likely to convert

For example, my landing page was only converting at around 4% early on. I focused on improving that, and after testing different headlines and features, I got it to 9%, which directly doubled my revenue.

5. Focusing on real problems with buying intent

Instead of just collecting random complaints, I focused on problems where people were already spending money or actively looking for solutions.

G2 reviews showed me what paying customers hated about existing tools. Upwork job listings revealed what companies were struggling to hire help for. Reddit posts highlighted frustrations people were venting about daily.

These weren't just problems, they were validated market opportunities.

TL;DR

I had to fail multiple times before I figured out how to build something people actually wanted.

The biggest change this time was validating the idea early, but combining that with real user feedback, clear metrics, and focusing on problems with proven buying intent made everything easier.

If you're still trying to get your first win, don't give up. Build small, talk to users, and make sure you're solving something real that people are already paying to fix.