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Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
3•sakanakana00•2m ago•0 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
2•pieterdy•5m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•5m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•7m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
3•Nive11•7m ago•4 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•11m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
2•chartscout•13m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•16m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•18m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•22m ago•0 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•25m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•27m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•27m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•28m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
2•birdculture•33m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•39m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•40m ago•1 comments

Slop News - The Front Page right now but it's only Slop

https://slop-news.pages.dev/slop-news
1•keepamovin•45m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•47m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
4•tosh•53m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
4•oxxoxoxooo•56m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•57m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
4•goranmoomin•1h ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

4•throwaw12•1h ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
3•senekor•1h ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
2•myk-e•1h ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
4•myk-e•1h ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•1h ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
5•1vuio0pswjnm7•1h ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
4•1vuio0pswjnm7•1h 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.