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DoorDash email spoofing vulnerability sparks messy disclosure dispute

https://www.bleepingcomputer.com/news/security/doordash-email-spoofing-vulnerability-sparks-messy...
1•fleahunter•1m ago•0 comments

NASA, European Partners Set to Launch Sentinel-6B Earth Satellite

https://www.jpl.nasa.gov/news/nasa-european-partners-set-to-launch-sentinel-6b-earth-satellite/
1•gmays•1m ago•0 comments

Solving Amazon's Infinite Shelf Space Problem

https://worksonmymachine.ai/p/solving-amazons-infinite-shelf-space
1•msephton•1m ago•0 comments

Show HN: MCPShark – Wireshark for Model Context Protocol Traffic

https://www.mcpshark.sh/
1•belai•2m ago•0 comments

Hubungi Tim CS Pintu Melalui Live Chat Support

1•TheDarkLegend•2m ago•0 comments

Story of Irish labourer buried alive in coffin for 61 days

https://www.theguardian.com/world/2025/nov/17/incredible-story-of-irish-labourer-buried-alive-in-...
1•n1b0m•2m ago•0 comments

Apakah Tokopedia Punya WA?

1•minicrack•2m ago•0 comments

$60K Data Infrastructure vs. $2M Cloud Equivalent

https://medium.com/@auras.tanase/how-veridion-saves-2-million-monthly-by-going-bare-metal-40ee64c...
2•mihaivinaga•2m ago•0 comments

The work is meticulous but rewarding

https://kupajo.com/the-work-is-meticulous-but-rewarding/
2•kolyder•3m ago•0 comments

Show HN: AgentSkills – Empower Agents with professional knowledge

https://agentskills.so
1•niliu123•4m ago•0 comments

App Lets ICE Track Vehicles and Owners Across the Country

https://www.404media.co/this-app-lets-ice-track-vehicles-and-owners-across-the-country/
4•aworks•5m ago•4 comments

Ramp raises at $32B valuation

https://ramp.com/blog/ramp-november-2025-valuation
2•joshuawright11•5m ago•0 comments

Anthropic CEO Says He's Uneasy About Unelected Tech Leaders Shaping AI

https://www.businessinsider.com/anthropic-ceo-dario-amodei-unelected-tech-leaders-shaping-ai-conc...
3•daureg•5m ago•1 comments

Old 'Ghost' Theory of Quantum Gravity Makes a Comeback

https://www.quantamagazine.org/old-ghost-theory-of-quantum-gravity-makes-a-comeback-20251117/
2•elashri•7m ago•0 comments

Show HN: Instant Live Avatars with Lip-Sync on Everyday Hardware

https://aradzhabov.github.io/LocalLiveAvatar/
1•aradzhabov•8m ago•0 comments

Berapa WA Tokopedia?

2•minicrack•8m ago•0 comments

Show HN: BatchPro, Your YC AI Analyst

https://www.batchpro.co/
1•tlombardozzi•9m ago•0 comments

Living my best Sun Microsystems ecosystem life in 2025

https://www.osnews.com/story/143570/living-my-best-sun-microsystems-ecosystem-life-in-2025/
2•birdculture•9m ago•1 comments

Alabama man returns 'forbidden' antique Bible to Indiana church

https://www.al.com/news/2025/11/alabama-man-returns-forbidden-antique-bible-to-colorado-church.html
1•sipofwater•11m ago•1 comments

Why the Internet Works (Most of the Time): A Conversation with Tom Strickx

https://www.youtube.com/watch?v=bIxGdrfB-_E
1•emot•12m ago•0 comments

Troubleshooting Linux RAM and CPU Issues: A Practical Guide. RAM-Compare

https://grigio.org/troubleshooting-linux-ram-and-cpu-issues-a-practical-guide-ram-compare/
1•grigio•15m ago•0 comments

GitHub Arctic Code Vault unintentionally preserved a snapshot from pre-LLM

3•uneven9434•15m ago•0 comments

Show HN: A visual debugger for AI-generated code

https://samurai-agent.tech/
1•yuto_1192•15m ago•0 comments

Bacterial enzyme structure reveals new path for renewable plastic

https://phys.org/news/2025-11-bacterial-enzyme-reveals-path-renewable.html
1•PaulHoule•15m ago•0 comments

How to See the Dead

https://www.asimov.press/p/see-the-dead
1•mailyk•16m ago•0 comments

Coursiv Is Copper Sponsor of Ladybird

https://blog.coursiv.io/blog/coursiv-partners-with-ladybird-a-new-chapter-for-open-accessible-dig...
1•ormons•17m ago•0 comments

APIs as Infrastructure: Optimizing for Change

https://blog.talentlms.io/posts/apis-as-infrastructure/
1•yrizos•18m ago•4 comments

Germany's 1% now rivals America's

https://www.sciencedirect.com/science/article/pii/S0014292125001990
3•kaven1234•19m ago•0 comments

Colony queen subterfuge by parasitic ants

https://phys.org/news/2025-11-parasitic-ant-workers-queen-throne.html
1•DaveZale•20m ago•0 comments

A complete guide to the HTML number input

https://olliewilliams.xyz/blog/guide-to-html-number-input/
1•eustoria•20m ago•0 comments
Open in hackernews

The one-click stock analysis report website is finally ready

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

Comments

rule2025•2h 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.