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The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
1•1vuio0pswjnm7•49s ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•2m ago•0 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•5m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•10m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•12m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•15m ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•27m ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•29m ago•0 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•30m ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•43m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•46m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•48m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•56m ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•58m ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•59m ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•59m ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•1h ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•1h ago•1 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•1h ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•1h ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•1h ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•1h ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•1h ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•1h ago•1 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•1h ago•0 comments

Show HN: I built a free UCP checker – see if AI agents can find your store

https://ucphub.ai/ucp-store-check/
2•vladeta•1h ago•1 comments

Show HN: SVGV – A Real-Time Vector Video Format for Budget Hardware

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•1h ago•0 comments

Study of 150 developers shows AI generated code no harder to maintain long term

https://www.youtube.com/watch?v=b9EbCb5A408
2•lifeisstillgood•1h ago•0 comments
Open in hackernews

Startup equity is worth more than you think

https://www.amafinance.org/startup_comp/
2•usaar333•6mo ago

Comments

random_savv•6mo ago
It’s interesting that the author thinks that the value of the shares is higher than the preferred price, even though employees typically hold common shares, meaning they get wiped out in most scenarios except best case. The expected (best case) growth is not an argument in favor of a 4x multiple on price. The chance of achieving that is baked into the price
usaar333•6mo ago
The value of the equity package is 4x higher than the FAANG equivalent equity package (at preferred/market pricing) - that's not the same as saying the shares themselves are worth that.

To sum up the arguments:

* Employment packages allow things a shareholder cannot do (functionally recall their investment), so the high volatility leads to higher package returns.

* FAANG equity grants (RSUs) are taxed at much higher rates

* Expected return is in fact higher on startup equity than FAANG equity (and you generally have no way to invest in the good startups directly aside from working for them).

inhumantsar•6mo ago
doesn't all of this assume that the startup reaches a liquidity event which favors the employee though? or at least that the startup is hot enough that there's a secondary market for those shares?

unless I'm misunderstanding the argument, I dont see how those hypothetical returns could be considered "expected returns". startups which reach a place where employees can profitably cash out seem far too rare to reasonably expect a return at all, never mind a large one.

Since a person works for one company at a time (usually), and it can take 3-5 years or more for a startup to reach a place where the equity is worth something, this argument reads to me like "the returns on a Powerball win are so much higher than your projected lifetime earnings that playing the lottery is a smart financial move".

usaar333•6mo ago
It's a probabilistic model. It assumes (correctly) that the low probability of a home run times the home run's valuation is quite large ("expected returns" in the probabilistic sense).

> this argument reads to me like "the returns on a Powerball win are so much higher than your projected lifetime earnings that playing the lottery is a smart financial move".

That's stronger claim than it is making, but yes in a sense it is saying the lottery can be a good move because the expectation is large - that's what VCs do after all.

Note that all the model aims to do is value the equity package. If a public company is offering more than what this model values the startup equity package as (and this often is the case!), it isn't worth it financially to work at that startup.

robocat•6mo ago
> Expected return is in fact higher on startup equity than FAANG equity

Expected return is extremely misleading because it depends strongly on extraordinarily few outlier winners. Like when Jeff Bezos walks into a bar and now the average wealth of every person in the bar is over a billion dollars.

The modal return of common shares is $0.

usaar333•6mo ago
Why is modal return so important? You'll work more than 2 jobs
robocat•6mo ago
Firstly, if your prior is that every previous startup failed, what does that say about your future chances of success?

Secondly, all the returns for YC are concentrated in a few companies. If you were in a winner then great, otherwise you most likely got $0 for your shares.

4% of YC companies become unicorns. How many startups do you need to work for before you become part of the 4%? That number is not a feasible number of jobs for one lifetime.

The modal return matters far more than the average return because you don't get to choose to be in an outlier.

The first article I checked said that 17 companies had IPOed for YC. Common shares often only get returns from an IPO. How many companies have gone through YC? What's the average number of companies you need to be part of before you get to be in one of the 17?

I'm using YC because the numbers are better for YC than most other VC or startups.

usaar333•6mo ago
> Firstly, if your prior is that every previous startup failed, what does that say about your future chances of success?

The prior is the market. It isn't sane to use your own prior experience. (Works both ways -- if your last startup did great, shouldn't assume next will).

> 4% of YC companies become unicorns. How many startups do you need to work for before you become part of the 4%? That number is not a feasible number of jobs for one lifetime.

The bar (and what the model is calculating) is Series A from top VC, not YC Seed funding. That significantly increases odds. Specifically, ~45% YC companies get Series A, so it's more like 10% chance of a YC Series A funded company becoming a unicorn (https://www.lennysnewsletter.com/p/pulling-back-the-curtain-...).

Model is change jobs every 18 months if not booming. A 1 in 10 chance is quite reasonable over a career.

I agree there is an issue with the event being too rare, but you can't just look only at modal returns. 2/3 chance of $0 (the modal return) and 1/3 chance of $10 million profit is still pretty good odds to work with.

robocat•6mo ago
> The prior is the market.

What a wierd statement. It matters not how well others do. In a winner takes most market, then only the median outcome matters ($0 usually).

I admit my statement about priors was unclear: I meant that your prior is a previous attempt with a startup. If you have influence and the startup fails then that is a signal about your ability to be successful working with your next startup.

> The bar (and what the model is calculating) is Series A

Common shares still have a median worth of $0 on series A.

> Model is change jobs every 18 months if not booming. A 1 in 10 chance is quite reasonable over a career.

I really doubt that. Someone has some historical stats that would show the truth either way. YC in particular haven't published any stats on median returns. I've only seen them mention average returns (heavily skewed by outlier winners). They have the data but they don't publish the modal return because they are VCs.

Common shares only return value for the rarer big successes. I also strongly suspect that there's a lot of historical bias. VCs play repeated games and are getting better at reducing the value of common shares to $0. It is an adversarial relationship: every dollar that common shares gain is a dollar that preferencial could have had if they played their game better.