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You Are All on the Hobbyists Maintainers' Turf Now (2024)

https://www.softwaremaxims.com/blog/open-source-hobbyists-turf
1•pabs3•34s ago•0 comments

Ask HN: Anyone working on bringing software back from US clouds?

1•sam_lowry_•1m ago•0 comments

Sometimes CPU cores are odd

https://anubis.techaro.lol/blog/2025/cpu-core-odd
1•todsacerdoti•3m ago•0 comments

An EM's Side Project Reached 1,800 GitHub Stars

https://newsletter.manager.dev/p/how-an-ems-side-project-reached-1800
1•AntonZ234•5m ago•0 comments

Ask HN: Which LinkedIn roles should I target for web scraping products/services?

1•vikramaruchamy•8m ago•0 comments

Nothing busted using professional photos as Phone 3 samples

https://www.theverge.com/report/766543/nothing-busted-using-fake-phone-3-photo-samples
2•k33l0r•8m ago•0 comments

Evaluation Code – GPT-5 on Multimodal Medical Reasoning

https://github.com/wangshansong1/GPT-5-Evaluation
2•Topfi•8m ago•0 comments

Hobbyist Maintainers with Thomas DePierre

https://opensourcesecurity.io/2025/2025-06-hobbyist-thomas-depierre/
1•pabs3•9m ago•0 comments

Project Showcase: Movuan

https://pine64.org/2025/08/27/august_2025_movuan/
2•wicket•11m ago•0 comments

In-App Browsers: The worst erosion of user choice you haven't heard of (2024)

https://open-web-advocacy.org/blog/in-app-browsers-the-worst-erosion-of-user-choice-you-havent-he...
4•wicket•12m ago•0 comments

AI audio generation/cleanup trained on my voice

1•jgrauman•13m ago•0 comments

Shakespeare can help us overcome loneliness in the digital age

https://scroll.in/article/1085865/how-shakespeare-can-help-us-overcome-loneliness-in-the-digital-age
1•akbarnama•13m ago•0 comments

Tips for installing Windows 98 in QEMU/UTM

https://sporks.space/2025/08/28/tips-for-installing-windows-98-in-qemu-utm/
1•zdw•14m ago•0 comments

Ask HN: What perfectly written monospace block text am I looking for?

3•meta-level•14m ago•0 comments

Anthropic's auto-clicking AI Chrome extension raises browser-hijacking concerns

https://arstechnica.com/information-technology/2025/08/new-ai-browser-agents-create-risks-if-site...
2•Bogdanp•15m ago•0 comments

How Cloudflare runs more AI models on fewer GPUs

https://blog.cloudflare.com/how-cloudflare-runs-more-ai-models-on-fewer-gpus/
2•eldridgea•17m ago•0 comments

World Train Travel Guide – The Man in Seat Sixty-One

https://www.seat61.com/index.html
2•mhb•17m ago•0 comments

AI Has Broken Hiring

https://brodzinski.com/2025/08/broken-ai-hiring.html
2•flail•20m ago•0 comments

A perfect symbiosis:planting vines other ways hot cities are creating cool space

https://www.theguardian.com/environment/2025/aug/28/planting-vines-and-other-ways-hot-cities-crea...
1•tocs3•20m ago•0 comments

A lower bound on the length of the shortest superpattern

https://warosu.org/sci/thread/S3751105#p3751197
1•gadders•21m ago•0 comments

The sisters "paradox" – counter-intuitive probability

https://blog.engora.com/2025/08/the-sisters-paradox-counter-intuitive.html
3•Vermin2000•24m ago•1 comments

Archaea produce peptidoglycan hydrolases that kill bacteria

https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003235
1•PaulHoule•25m ago•0 comments

GM Raided Silicon Valley to Build Its New AI Team. Here's What It's Doing

https://www.wsj.com/articles/gm-raided-silicon-valley-to-build-its-new-ai-team-heres-what-its-doi...
2•pcl•25m ago•1 comments

LLMs solving problems OCR+NLP couldn't

https://cloudsquid.substack.com/p/ocr-is-legacy-tech
2•universesquid•26m ago•0 comments

Global airlines group proposes raising international pilot retirement age to 67

https://www.reuters.com/business/aerospace-defense/global-airlines-group-proposes-raising-interna...
1•rntn•26m ago•0 comments

From layoff to $15k/mo agency and $9k/mo M&A marketplace

https://www.indiehackers.com/post/tech/from-layoff-to-15k-mo-agency-and-9k-mo-m-a-marketplace-BV2...
2•sweatC•27m ago•0 comments

Ask HN: Building tools to make WhatsApp integration less painful for developers

1•milanspeaks•30m ago•0 comments

Show HN: GrowChief – open-source social media outreach tool

https://github.com/growchief/growchief
3•nevodavid•31m ago•0 comments

Static analysis tool for prompt templates

https://github.com/inworld-ai/prompt-brewery
2•selvan•31m ago•0 comments

How AI Works – A Primer

https://publish.obsidian.md/anjneymidha/How+AI+Works+-+A+Primer
1•anjneymidha•31m ago•0 comments
Open in hackernews

Show HN: I built AI that turns 4 hours of financial analysis into 30 seconds

https://duebase.com
15•superproton•6h ago
I built Duebase AI to solve a problem I kept running into in fintech - analyzing UK company financial health takes forever. The process usually goes: download PDFs from Companies House → manually extract data to spreadsheets → calculate ratios → interpret trends. Takes 3-4 hours per company and requires serious financial expertise. The technical challenge: Companies House filings are messy. Inconsistent formats, complex accounting structures, missing data, and you need to understand UK accounting standards to make sense of it all. My approach:

Parse 15M+ UK company records from Companies House API Built ML models to extract and normalize financial data from varied filing formats Created scoring algorithms that weight liquidity, profitability, leverage, and growth trends Generate 1-5 health scores with explanations in plain English

What it does:

Instant financial analysis of any UK company (30 seconds vs 4 hours) Real-time monitoring with alerts for new filings/director changes Risk detection that catches declining trends early No financial background needed to understand results

The hardest part was handling the data inconsistencies - UK companies file in different formats, use various accounting frameworks, and often have incomplete information. Had to build a lot of data cleaning and normalization logic. Currently focused on the UK market since I know the regulatory landscape well, but the approach could work for other countries with similar public filing systems. Link: https://duebase.com

Comments

simonklitj•5h ago
Any stats on hallucinations or just general inaccuracies in the final results it generates?
nehal3m•5h ago
Seconded. Throwing a bunch of data into an LLM and calling the result financial analysis is one thing, the results being at all trustworthy and valuable is another. I’d like to see an independent piece of analysis compared to this bot’s output for the same company and the original data.
noduerme•5h ago
On an even more basic level, throwing data at an LLM and telling people you "built an AI" pretty much blows any chance of anyone taking the results seriously.
potamic•5h ago
Aren't there services that provide normalized financial data? I don't know about the UK, but I've seen in other markets. If your USP is more towards analytics than data wrangling, it might save you a lot of headache to offload that to someone else.
superproton•4h ago
Good point. There are a few (Creditsafe, Experian) but they're expensive and focus on basic credit metrics, not comprehensive financial health analysis. The real value is in the contextual interpretation - understanding what the numbers mean for investment/credit decisions. That requires domain knowledge baked into the analytics, not just clean data feeds. Plus controlling the full pipeline lets us iterate quickly on scoring algorithms based on user feedback. Hard to do that with third-party normalised data.
gitmagic•5h ago
From the footer:

“Instantly create your dream vacation with Duebase AI, where AI-driven precision meets personal preferences. Tailor-made travel plans crafted just for you, effortlessly.”

Did you pivot?

nehal3m•5h ago
Looks like OP still does that: https://news.ycombinator.com/submitted?id=superproton

If we want to be charitable their previous website may have served as a template.

gitmagic•5h ago
Well, at least this one made it to the front page!
sergiomattei•5h ago
> Our AI analyzes balance sheets, cash flows, and profitability metrics to deliver executive summaries, risk assessments, and key insights that help you make confident business decisions.RetryClaude can make mistakes. Please double-check responses.

Slight issue on the homepage ;)

doppp•5h ago
#vibecoding
johnisgood•5h ago
Hey I had an example URL in a README.md with github.com/yourusername. I think this is going to bite me in the ass if anyone checks the commit that fixes it.
incone123•5h ago
Recommend you change this footer text: Instantly create your dream vacation with Duebase AI, where AI-driven precision meets personal preferences. Tailor-made travel plans crafted just for you, effortlessly.
superproton•5h ago
Thanks!!!
caretoelaborate•5h ago
Also under the heading “Comprehensive Accounts Analysis” you have “RetryClaude can make mistakes. Please double-check responses.”
incone123•4h ago
And I'm curious: was this a pivot from another industry, or did you just try out Claude on a dummy project?
superproton•4h ago
I use Claude to help me with the copy, I found is the best LLM for that, at least work for me.
latexr•2h ago
> I use Claude to help me with the copy

“Help with” implies you do some of the work yourself. But most of the comments in this thread so far are about glaring copy mistakes. Have you not read any of the text Claude gave you? That doesn‘t inspire any confidence that your products is remotely competent and what you claim.

dude250711•5h ago
Thank you Claude, good job!
jsmith99•5h ago
UK company filings are already marked up with machine readable, structured, standardised tags. It's called XBRL. So it doesn't necessarily need a LLM to parse.
superproton•5h ago
Wrong, my friend, that is only for small companies, big companies accounts are only available in PDF. Plus, in any case you have the raw data, here you have a full financial analysis.
jsmith99•4h ago
Large companies need to do it too, including all LSE listed. Here is a summary by the regulator https://www.frc.org.uk/library/digital-reporting/structured-...

But of course a LLM could theoretically automate much of the analysis stage.

tovej•5h ago
There's a copy pasted "Retry Claude" sentence in the copy of the page, the footer advertises unrelated travel services. Oh, and there's no details on what methods the AI uses for analysis, or any measurements at all of an unproven AI analysis tool.

This is pretty bottom of the barrel.

johnnienaked•5h ago
Using an AI for this is like using crypto to pay for something: only done for the novelty

Regular coding, the SECs API (or UK equivalent), and some simple spreadsheet formulas have already done the brunt of this for years now.

superproton•4h ago
Fair point - I started with the Companies House API and traditional parsing too. The issue isn't data access, it's consistency. UK companies file in wildly different formats - some use full GAAP, others micro-entity accounts, many have incomplete data. Rule-based systems work for ~60% of companies, then break on edge cases. Financial health also requires context: Is this debt ratio concerning for their industry/size? Are these cash patterns seasonal or declining? How do you weight profitability vs growth stage? I spent months on traditional approaches first. The AI handles the inconsistency and contextual interpretation that spreadsheet formulas can't.
johnnienaked•4h ago
I respect your comment but all of these things can be automated without an AI

The inconsistency of UK reporting is highly interesting though

zarzavat•5h ago
The heading text is cut off by the top navigation (on mobile safari).
monkeydust•5h ago
I use Companies House (CH) a fair bit so interesting, tried out:

- There is UX issue here as on first pass it just looked like a view to CH, the scores where N/A, after a minute it came to life with something useful but during that period wasn't sure what was going on, you need to manage the user and let them know its working out scores not show N/A.

- Liked the history of scores as well, perhaps a chart would be good here.

- I need to understand how you score before I would ever consider paying for this, there has to be some explanation of the methodology.

superproton•4h ago
That's great feedback, thanks a lot!