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Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
1•chartscout•1m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
2•AlexeyBrin•4m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
1•machielrey•5m ago•0 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
2•tablets•10m 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•12m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•14m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•14m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•15m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
2•birdculture•21m 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•26m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•28m ago•1 comments

Slop News - HN front page right now as AI slop

https://slop-news.pages.dev/slop-news
1•keepamovin•32m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•34m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
3•tosh•40m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
4•oxxoxoxooo•44m ago•1 comments

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

2•InvoxoEU•44m 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
3•goranmoomin•48m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•49m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•51m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•53m 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
3•myk-e•56m 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•57m 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•59m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
3•1vuio0pswjnm7•1h ago•0 comments

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

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

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•1h ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

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

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

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

Now send your marketing campaigns directly from ChatGPT

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

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

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments
Open in hackernews

Show HN: I built an app store for open-source financial plans (on spreadsheets)

https://finfam.app/explore/views
52•mhashemi•4mo ago
Hi HN, Mahmoud here. I'm usually here for Python/FOSS reasons (boltons, glom, CalVer, ZeroVer), and that's still the case, but this time with a twist.

While I was on parental leave from Stripe a couple years back, I started helping my parents figure out their retirement. They're academics coming from overseas, so let's just say I'm a big part of the plan. We found ourselves quibbling over Zoom screenshares, multi-tabbed Google Sheets, and countless links to articles and blog posts. When we looked for professional advice, we found conflicting guidance and misaligned incentives.

I looked at the tools my friends and I use for big decisions and saw a huge gap. This isn't budgeting, nor is this investing. This is actual finance. Money management and decision making. Your options are usually:

1. Read a bunch of Bogleheads, Investopedia, Wikipedia, and Reddit. Then cobble together spreadsheets that we can only hope someone wants to look at (including future you). 2. Hire an expert, which involves a lot of trust, time, and money. You can't shop around too much and you also can't turn back the clock if your advisor burns you. They'll do the spreadsheeting (hopefully correctly) and ignorance is bliss.

I wanted something different. I wanted consumer FP&A, if there were such a thing. A collaborative sandbox for sharing financial context, with a bit of math, plus discussion threads with a context-ful chatbot, and an "explorable explanation" that my parents could use to see how different choices applied directly to them. Google Sheets just wasn't it.

Most importantly it had to solve the trust issue. Most bespoke financial apps are black boxes. I wanted something transparent, verifiable, and forkable. Like open-source software. So, I built FinFam on top of the most broadly-understood low-code platform of all time: the spreadsheet.

FinFam (https://finfam.app) is a platform where you can build and share interactive financial models, powered by XLSX and Google Sheets.

A few examples of questions I've worked through with my early access users:

- https://finfam.app/mahmoud/views/child-cost - How much will it cost you to raise a child from 0 to preschool in the Bay Area?

- https://finfam.app/mahmoud/views/big-tech-vs-startup - Should you take a big tech job or join a startup?

- https://finfam.app/mahmoud/views/ccp-oas-age - When should you start taking your Canadian retirement benefits?

Building each of these models has been super rewarding. The child cost one in particular was a great way to capstone my daughter's 3rd birthday. Yes, I really do have a dataset of her first 2800 diaper changes: https://finfam.app/blog/2025-08-26-baby-cost-view-case-study

Not only has it been more fulfilling and maintainable for me, I'm hopeful that it can open up a new audience of "sheetcoders". There are tons of folks with domain knowledge and spreadsheet know-how, but would never learn (or even vibecode) js/html/react. This way they can build something interactive, without losing the narrative guidance of a good blog post. Get subscribers, find new clients, maybe even get some MRR.

We've been running private alpha all summer. It's still got rough edges, but our small community is getting too much value out of it not to share. Would love to hear what you think. Thanks!

Comments

ltbarcly3•4mo ago
I've been waiting years for someone to make this. What are your plans to monetize?
mhashemi•4mo ago
Haha, glad you like it! So, originally this was a B2B concept for a friend who was starting an advisory. Original model was around referrals, and advisor client funnels. That might still have a place, but tbd.

The B2C version you're looking at is an app store, so marketplace / app fee structure. Currently, when you save a View to your space, you're actually subscribing to updates. Instead of paying for a newsletter you have to read, digest, and model off, FinFam enables a paid subscription to a spreadsheet that gives you an answer. Skip the read, straight to the guidance.

For most people facing decisions with significant financial components, they keep an eye on the situation for weeks if not months. If they're subscribed to an expert's View, they can pay per update or per time period, kind of like Patreon.

I'm thinking we'll probably add some premium tier for certain SaaS features. E.g., similar to Figma, you can have X spaces, but if you want more, you need to pay more. Something tied to advanced use cases, # of chatbot convos, etc.

For now it's all available for the low low cost of bug reports. the more detailed the better!

markrwilliams•4mo ago
I'm an AI skeptic but the chatbot sounds interesting. What kind of context do you provide it?
mhashemi•4mo ago
Relatable. While I doubt I'd have been able to do all the frontend myself without an agent, it's still pretty early for LLMs + money.

It depends on where you're starting a thread, but assuming you're starting the thread in a view, then we prime the chat with:

- The user's configured financial literacy, education level, etc.

- The reasoning and actual results of the calculator as you see them

- Summary metrics from the space that the view is saved in

The last point is pretty critical. The idea is that you build your own context from the bottom up, exposing as much or as little as you want for the scenario you want to explore. Add the relevant assets/liabilities/income/expenses, and we have a little cash-basis accounting simulator that projects all that into a "scope" usable by the Views, as well as the chatbot ("Finn" http://finfam.app/finn).

Handing these metrics to the chat unlocks a lot of the magic of the chatbot as a "neutral explainer". Any creator can upload a spreadsheet, but as we've currently exposed it, Finn is meant to be moderate and just there to close any explanatory gaps that the creator may have left out, or not considered. If you're looking at a view about buying a second house, Finn's supposed to give you a gut check if you have particularly low cash reserves.

A lot of a financial advisor's time and role is filling gaps in your financial literacy, and a 24/7 chatbot is honestly just better at explaining the difference between a credit and debit card.

x1798DE•4mo ago
Wow this looks really well done, congratulations!

One question: I was exploring the public spaces and I'm wondering are these your real finances, or is this just a mocked-up example? https://finfam.app/mahmoud/space

And if they are your real finances, are you manually entering in things like your credit card balances, or do you have integrations that automatically track that? If there aren't integrations already, is that on the road map?

mhashemi•4mo ago
Haha, re: finances, everyone wants to know this! Give or take, yeah! I just felt obligated to go all in with the dogfooding. It's probably TMI for most folks, but other users don't have to do the same: https://finfam.app/faq#faq-data_visibility

FinFam is private by default, but publishable by design. It's also totally valid to build/publish hypothetical/prototypical scenarios for the sake of demonstration.

Re: manual entry, the income and expenses were, yeah. The balances from the accounts are all ingested via our "Magic Sync" which is really just parsing from screenshots. Works with Monarch Money, works with spreadsheets. And you don't have to deal with the nightmare of "open banking" (I helped build the first version of Stripe's Financial Connections product and I'd like to delay using it as long as possible...)

ngtvspc•4mo ago
Oddly my first impression was “wow this is sort of niche”, but then immediately realized how odd that sentiment is.

There are so many poor quality self help books out there on finance, that really amount to nothing more than a blog post. And whenever I’m trying to learn more or think about what options exist it feels like quite a slog. I’m definitely tired of pretty much all of the accessible financial advice amounting to using the standard 3 fund portfolio: https://www.bogleheads.org/wiki/Three-fund_portfolio

While it’s a fine starting point, it definitely bothered me how inaccessible financial advice is, even with an advisor it gets pretty hand wavey

mhashemi•4mo ago
Haha, spent many hours on the Bogleheads wiki, and I do love it. But yeah, I'd love it even more if it had fields I could punch values into. If only there was some sort of site for that...
ngtvspc•4mo ago
I wonder what that calculator would look like? Maybe something that lets you visualize trends of return for different fund blends?

That doesn’t seem particularly useful however, maybe something to help contrast the other common investment profiles? I just wouldn’t know which ones those are

mhashemi•4mo ago
I have a whole rant about this saved for a future blog post. The short version is that people need actionable belief. Charts are useful to demonstrate a concept, but at the end of the day, we want answers. I'm sure there's _someone_ you trust. Whether it's your dad or a friend or a podcast, I think the main gap is giving the user specific action. For example, https://finfam.app/heyfinfam/views/rent-vs-buy boils it down to Rent/Neutral/Buy. Most of the other featured views do the same, to eliminate the exact ambiguity you're describing.
arshanahmad•4mo ago
Looks really cool. I’m going to try this. Are there plans for plaid integrations? Might want to partner up on something.
mhashemi•4mo ago
Thanks! Yeah, far-flung plans for integrations. Currently I'm getting way more mileage out of letting other products do the integrations for me. I.e., I use Monarch Money and just upload the screenshots to FinFam which parses out the balances.

I helped build the first version of Stripe's Financial Connections product and while the alumni credit is tempting, I'd like to delay using it as long as possible... Too many error conditions and it's not like planning calls for that level of precision anyways.

setheron•4mo ago
I really like it; the community curations are neat. So many ideas to explore and I wonder if it can model pre-existing events like if I wanted to explore: Should I DCA ? (I can look historically)
mhashemi•4mo ago
Hmm, DCA is one I think about a lot. Probably pretty easy to convert this research over: https://investor.vanguard.com/investor-resources-education/n...

The result won't be super surprising, but it'll be more specific.