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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
1•tablets•30s 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
1•breve•2m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•5m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•5m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•6m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
1•birdculture•11m 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•17m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•18m ago•1 comments

Slop News - HN front page right now hallucinated as 100% AI SLOP

https://slop-news.pages.dev/slop-news
1•keepamovin•23m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•25m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•31m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•34m ago•1 comments

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

2•InvoxoEU•35m 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
2•goranmoomin•38m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•40m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•41m 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•44m 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•46m 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•47m 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
4•1vuio0pswjnm7•49m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•51m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•53m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•56m 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
1•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

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

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

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

https://www.haniri.com
1•donangrey•1h 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•1h ago•0 comments
Open in hackernews

Ask HN: Who do you trust for product reviews?

4•klimeryk•6mo ago
Inspired by a recent story about Wired "Not Recommending" AirGradient monitor: https://news.ycombinator.com/item?id=44810574

I own two devices from AirGradient and, based on my research, it seemed like one of the best options available. Open-source software and hardware, repairable, no vendor lock-in and most importantly: seems the company is constantly improving and researching air quality-related topics (https://www.airgradient.com/research/). I have been very happy with them (>2 years). If I just based my purchase on Wired's review, I could have completely dismissed it.

This made me think of all the "work" that needs to be done nowadays to filter out AI-generated reviews, fake bot ones on Amazon, on retail sites, actual journalists writing reviews under strict deadlines and pressure from manufacturers, reviews based on one day with the device, or just straight up reading what the manufacturer's PR department sent, etc.

So, who do you trust for product reviews? What are the sources that you look at first?

I'll start with some that come from the top of my head (I'm sure I'm missing some, as they often are only needed when needing to make a specific purchase, like RTINGS for monitors):

- Project Farm (https://www.youtube.com/@ProjectFarm) seems pretty objective and buys all products himself based on community suggestions. I feel like the testing does not cover all aspects of actually using the tool (long term issues/quirks, durability, warranty, support, etc.), but it definitely feels like a good start to look at options.

- The Car Care Nut Reviews (https://www.youtube.com/@TheCarCareNutReviews) - an actual mechanic reviewing cars (his main channel is great too). Without the negativity, but also seems quite honest. Specializes in Toyotas, but happy to point out flaws and issues in them, while praising when other manufacturers do something right.

- Reddit (or other even more specialized forums for a given topic like https://www.snbforums.com/ for networking/routers, etc.) - to try to get opinions from real users. Ideally after they've used the product for some time. Good source of tips and tricks (including alternative firmware, etc. that "mainstream" reviewers don't even mention).

- RTINGS (https://www.rtings.com/monitor) for monitors. They have a big selection, consistent testing and they go deep into the details.

What are your favorites? What's your process for researching before buying a product you care about? Maybe there's an `awesome` GitHub repository somewhere with HN-community suggested reviewers :D

Comments

JohnFen•6mo ago
I trust people I know for product reviews, because I know what their biases and tastes are. I've found that no other sources of reviews are reliable enough to give any weight to.