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Introduce the Vouch/Denouncement Contribution Model

https://github.com/ghostty-org/ghostty/pull/10559
1•DustinEchoes•1m ago•0 comments

Show HN: SSHcode – Always-On Claude Code/OpenCode over Tailscale and Hetzner

https://github.com/sultanvaliyev/sshcode
1•sultanvaliyev•1m ago•0 comments

Microsoft appointed a quality czar. He has no direct reports and no budget

https://jpcaparas.medium.com/microsoft-appointed-a-quality-czar-he-has-no-direct-reports-and-no-b...
1•RickJWagner•3m ago•0 comments

Multi-agent coordination on Claude Code: 8 production pain points and patterns

https://gist.github.com/sigalovskinick/6cc1cef061f76b7edd198e0ebc863397
1•nikolasi•3m ago•0 comments

Washington Post CEO Will Lewis Steps Down After Stormy Tenure

https://www.nytimes.com/2026/02/07/technology/washington-post-will-lewis.html
1•jbegley•4m ago•0 comments

DevXT – Building the Future with AI That Acts

https://devxt.com
2•superpecmuscles•5m ago•4 comments

A Minimal OpenClaw Built with the OpenCode SDK

https://github.com/CefBoud/MonClaw
1•cefboud•5m ago•0 comments

The silent death of Good Code

https://amit.prasad.me/blog/rip-good-code
2•amitprasad•5m ago•0 comments

The Internal Negotiation You Have When Your Heart Rate Gets Uncomfortable

https://www.vo2maxpro.com/blog/internal-negotiation-heart-rate
1•GoodluckH•7m ago•0 comments

Show HN: Glance – Fast CSV inspection for the terminal (SIMD-accelerated)

https://github.com/AveryClapp/glance
2•AveryClapp•8m ago•0 comments

Busy for the Next Fifty to Sixty Bud

https://pestlemortar.substack.com/p/busy-for-the-next-fifty-to-sixty-had-all-my-money-in-bitcoin-...
1•mithradiumn•9m ago•0 comments

Imperative

https://pestlemortar.substack.com/p/imperative
1•mithradiumn•10m ago•0 comments

Show HN: I decomposed 87 tasks to find where AI agents structurally collapse

https://github.com/XxCotHGxX/Instruction_Entropy
1•XxCotHGxX•13m ago•1 comments

I went back to Linux and it was a mistake

https://www.theverge.com/report/875077/linux-was-a-mistake
1•timpera•15m ago•1 comments

Octrafic – open-source AI-assisted API testing from the CLI

https://github.com/Octrafic/octrafic-cli
1•mbadyl•16m ago•1 comments

US Accuses China of Secret Nuclear Testing

https://www.reuters.com/world/china/trump-has-been-clear-wanting-new-nuclear-arms-control-treaty-...
2•jandrewrogers•17m ago•1 comments

Peacock. A New Programming Language

1•hashhooshy•21m ago•1 comments

A postcard arrived: 'If you're reading this I'm dead, and I really liked you'

https://www.washingtonpost.com/lifestyle/2026/02/07/postcard-death-teacher-glickman/
2•bookofjoe•23m ago•1 comments

What to know about the software selloff

https://www.morningstar.com/markets/what-know-about-software-stock-selloff
2•RickJWagner•26m ago•0 comments

Show HN: Syntux – generative UI for websites, not agents

https://www.getsyntux.com/
3•Goose78•27m ago•0 comments

Microsoft appointed a quality czar. He has no direct reports and no budget

https://jpcaparas.medium.com/ab75cef97954
2•birdculture•27m ago•0 comments

AI overlay that reads anything on your screen (invisible to screen capture)

https://lowlighter.app/
1•andylytic•29m ago•1 comments

Show HN: Seafloor, be up and running with OpenClaw in 20 seconds

https://seafloor.bot/
1•k0mplex•29m ago•0 comments

Tesla turbine-inspired structure generates electricity using compressed air

https://techxplore.com/news/2026-01-tesla-turbine-generates-electricity-compressed.html
2•PaulHoule•30m ago•0 comments

State Department deleting 17 years of tweets (2009-2025); preservation needed

https://www.npr.org/2026/02/07/nx-s1-5704785/state-department-trump-posts-x
3•sleazylice•30m ago•1 comments

Learning to code, or building side projects with AI help, this one's for you

https://codeslick.dev/learn
1•vitorlourenco•31m ago•0 comments

Effulgence RPG Engine [video]

https://www.youtube.com/watch?v=xFQOUe9S7dU
1•msuniverse2026•33m ago•0 comments

Five disciplines discovered the same math independently – none of them knew

https://freethemath.org
4•energyscholar•33m ago•1 comments

We Scanned an AI Assistant for Security Issues: 12,465 Vulnerabilities

https://codeslick.dev/blog/openclaw-security-audit
1•vitorlourenco•34m ago•0 comments

Amazon no longer defend cloud customers against video patent infringement claims

https://ipfray.com/amazon-no-longer-defends-cloud-customers-against-video-patent-infringement-cla...
2•ffworld•34m ago•0 comments
Open in hackernews

The one-click stock analysis report website is finally ready

https://aistock.tools
2•rule2025•2mo ago

Comments

rule2025•2mo ago
A seasoned investor’s honest reflection: from losing tens of thousands to eventually making over 100,000 — and the one thing I finally did right.

A few years ago, I couldn’t imagine my brokerage account showing six-figure assets. This isn’t a story of sudden wealth. No insider tips or “limit-up secrets.” It’s a story of losses, confusion, learning, and slow redemption.

If you’ve ever doubted yourself after painful losses, maybe my experience will feel familiar.

1. Entering the “casino”

In 2016 I bought my first stock simply because it “had been rising.” A tiny gain quickly turned into losses. Panic → adding positions → cutting losses. I thought I just “lacked skills,” so I learned every indicator: MACD, RSI, candlesticks… The more I learned, the more confused I became. My trading still looked like gambling.

2. Discovering value investing

Right before quitting the market entirely, I stumbled upon “value investing.” That moment changed everything.

I read the classics:

The Intelligent Investor — stocks = businesses

Security Analysis — intrinsic value matters

Buffett’s letters — buy understandable companies with moats

One Up On Wall Street — growth also matters

The Most Important Thing — risk and second-level thinking

These books rewired my thinking: I wasn’t investing; I was betting on noise.

3. Building a real system

I studied macroeconomics, business models, and financial statements. I shifted from watching daily candles to examining revenue, margins, cash flow, competitive advantages. Short-term prices are unpredictable; long-term fundamentals aren’t.

4. The real test: U.S. market volatility

When I applied value principles to U.S. stocks starting in 2019, my portfolio grew — until the real psychological test arrived.

The pandemic crash, rate hikes, inflation spikes, tech sell-offs, rotation from growth to value… volatility in U.S. markets came in waves. Friends told me to “sell before it’s too late.” I was anxious too — but I had done deep research. I knew the businesses I held: their fundamentals hadn’t changed.

So when fear peaked, I added to my positions instead of running. Markets eventually stabilized, and the recovery validated the analysis. My account went from deep red → break-even → steady profit → eventually passing +100k.

This wasn’t luck. It was discipline meeting patience.

5. A decade of learning distilled into a tool

Value investing works — but it requires time: reading filings, analyzing statements, building valuation models. Most people simply can’t spend dozens of hours per company.

After writing thousands of pages of notes, I wondered:

Can I turn my entire investment workflow into a tool?

A tool that:

screens for quality companies

auto-analyzes financial statements

evaluates fundamentals & valuation

removes 90% of repetitive work

I’m a zero-code beginner, but with AI’s help, I spent half a year building it.

The result: https://aistock.tools

It’s not a trading cheat code. It doesn’t predict next week. It simply generates one-click stock analysis reports based on the value-investing methods I’ve refined for nearly a decade.

Enter a ticker → get fundamentals, profitability, growth, valuation, risks — all structured and readable.

I built it for myself first. Now I’m sharing it in case it helps others shortcut years of trial and error.

If this tool becomes even a small accelerator on your investing journey, then the work was worth it.