frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

The AI-collapse pre-mortem

https://berthub.eu/articles/posts/an-ai-premortem/
1•Bogdanp•14s ago•0 comments

Harvard Alumni Entrepreneurs

https://www.harvardae.org/hae-accelerator
1•HAEAccelerator•29s ago•0 comments

Gleam v1.13: Formalising external APIs

https://gleam.run/news/formalising-external-apis/
1•ingve•51s ago•0 comments

Retro Language Models: Rebuilding Karpathy's RNN in PyTorch

https://www.gilesthomas.com/2025/10/retro-language-models-rebuilding-karpathys-rnn-in-pytorch
1•gpjt•3m ago•0 comments

Why do people, like, say, 'like' so much? (2022)

https://www.theguardian.com/science/2022/may/15/why-do-people-like-say-like-so-much-in-praise-of-...
1•NaOH•3m ago•0 comments

Ion: A data access layer for TypeScript

https://the-nerve-blog.ghost.io/ion-graphql-on-the-backend-an/
1•mprast•5m ago•0 comments

86Box v5.1

https://86box.net/2025/09/14/86box-v5-1.html
1•mariuz•7m ago•0 comments

How Accurate Are Polymarket's Odds?

https://dune.com/alexmccullough/polymarket-brier-score
1•marojejian•9m ago•0 comments

It seems the best way to kill a UAV is with a UAV

https://laststandonzombieisland.com/2025/10/24/it-seems-the-best-way-to-kill-a-uav-is-with-a-uav/
2•speckx•12m ago•0 comments

How the Fed's ZIRP, Silicon Valley and Libertarians Paved the Way for Autocracy

https://www.nytimes.com/2025/10/24/opinion/crypto-trump-libertarianism-corruption.html
2•zerosizedweasle•13m ago•0 comments

Spurious Correlations

https://www.tylervigen.com/spurious-correlations
1•aloukissas•13m ago•0 comments

Some AI providers host "degraded [models] to cut costs or fit server capacity"

https://twitter.com/sdrzn/status/1981455546923573358
1•janpio•16m ago•0 comments

The Classic Flying Toasters Screensaver for macOS 11 and Above

https://www.patreon.com/posts/flying-toasters-141691459
1•oldnetguy•16m ago•0 comments

Generative AI is a societal disaster

https://disconnect.blog/generative-ai-is-a-societal-disaster/
3•speckx•23m ago•0 comments

How Cyber Intelligence Is Transforming Legal Strategy

https://www.hartleyparalegal.com/blog
1•Hart_Paralegal•24m ago•1 comments

Justice Department to Monitor Polling Sites in California, New Jersey

https://www.justice.gov/opa/pr/justice-department-monitor-polling-sites-california-new-jersey
9•zerosizedweasle•26m ago•1 comments

Apple begins shipping American-made AI servers from Texas

https://www.cnbc.com/2025/10/23/apple-american-made-ai-servers-texas.html
2•bnewton•27m ago•1 comments

Show HN: Music Mini Games - an iOS app

https://musicminigames.com/
2•calflegal•28m ago•0 comments

PrimaLend's Unpaid Lenders Blast Bankruptcy for Missing Key Unit

https://www.bloomberg.com/news/articles/2025-10-24/primalend-s-unpaid-lenders-blast-bankruptcy-fo...
1•zerosizedweasle•28m ago•0 comments

Measured AI

https://notetoself.studio/post/measured-ai/
1•FromTheArchives•29m ago•0 comments

Google Earth's expanded AI features make it easier to ask it questions

https://www.theverge.com/news/805303/google-gemini-earth-ai-features
3•gmays•29m ago•1 comments

Vitest 4.0 Is Out

https://vitest.dev/blog/vitest-4
4•freddydumont•30m ago•2 comments

Tell HN: Locked out of Google account – 63K subscriber YouTube channel

23•jpelton•32m ago•2 comments

Optical Illusions, Lightness Constancy

https://www.4rknova.com//blog/2018/11/14/illusions-light-constancy
2•ibobev•32m ago•0 comments

Btrfs, Quick Start

https://www.4rknova.com//blog/2018/10/27/btrfs
1•ibobev•33m ago•0 comments

Jonesing for the Next Disruptor

https://www.datagubbe.se/llmfix/
1•ibobev•37m ago•0 comments

What is life? (1944) [pdf]

https://dlab.clemson.edu/Papers/11._Erwin_Schrodinger_-_What_is_Life__1944_.pdf
2•measurablefunc•37m ago•0 comments

Silicon island: How Ireland became a semiconductor powerhouse

https://plus.reuters.com/silicon-island-how-ireland-became-a-semiconductor-powerhouse
2•rbanffy•39m ago•1 comments

The Pot, the Kettle, and the Elephant

https://nik.art/the-pot-the-kettle-and-the-elephant/
1•speckx•39m ago•0 comments

Secure Coding in JavaScript

https://stackoverflow.blog/2025/10/15/secure-coding-in-javascript/
1•shehackspurple•39m ago•1 comments
Open in hackernews

Ask HN: Why do my friends' users hate the product? Is it worth finding out?

1•helicone•2h ago
Friends started a YC company -> had good early traction -> plateaued. Song as old as rhyme.

While they have lots of users still, their product struggles with usability. They asked me if I had any ideas to help; something to triage friction points and stave off churn. They want something with higher throughput than eyes on thousands of session replays from posthog and writing tickets.

I can think of a few ways to solve this problem, but it seems really hard and I'm not sure if the juice is even worth the squeeze. I worry that the seeming lack of good solutions in this space signals a lack of demand. (maybe i haven't looked hard enough)

How have y'all handled problems like this in the past? Have you had such problems?

Thank you for your time!

Comments

janpio•2h ago
A Product Manager would probably try talking to some of these users. Surprisingly often a bunch of conversations will already give a rough idea what might be going on - which then could be confirmed with another look at the session recordings or other existing data.

Or is that now what you are asking?

helicone•2h ago
Well I'm asking if people have found ways to get the data of (how bad a given product is, what makes it bad, where these problems are, & how to fix them) more quickly and more broadly than can be achieved by a single person's work day

and

if this is even a useful exercise given that the default (talking to your users, watching a random selection of user sessions, using the product yourself to find problems) is proven to work over a long enough time horizon.

janpio•2h ago
Ok, then I underestimated your question a bit. Sorry.

In my personal experience (as a PM and working in software development), there are loads of ways to get data already. The bottleneck is processing and understanding that data to come to hypotheses and conclusions.

(Recently with AI there are some product that promise to help with that, but I have no personal revolutionary positive experiences with them.)

helicone•1h ago
No worries!

I've seen the same trend with the new AI products in this space, having researched it briefly for this problem. They seem bolted-on and built as afterthoughts. I've been watching a lot of user sessions recently and I've noticed that it's basically impossible to get AI to accurately and consistently classify a problem in a user session by itself. Honestly it seems like AI hurts more than it helps here.

Even so, I'm curious if you would personally find value in something that helps with this bottleneck?

verdverm•1h ago
> Even so, I'm curious if you would personally find value in something that helps with this bottleneck?

So are you probing HN for a problem you can try to solve, or are you actually trying to help some friends?

If it's the latter, I would have expected YC to have taught them the path to answer, talk to your users

helicone•1h ago
why can't I do both?

if nobody else has the same problem I'm just gonna hack together some scripts, call it a day, and charge them like a contractor.

if the problem is more generalizable then it's worth hunkering down and building something more robust, and charging them like a vendor.

at any rate, part of their problem is people are leaving before they get a chance to talk, and not enough people are talking to them. bit of a catch-22 for them. why not see if the well runs deep?

janpio•1h ago
I would find it _very_ valuable.

But I think this is also the hardest task of a PM, so I am skeptical. There is a lot less learning and training material for an AI to use (compared to for example writing code) - so it is no surprise that AI in its current state does often not lead to great results.

helicone•1h ago
that's interesting to hear, thanks! and it does confirm my suspicions.

If you don't mind me asking, when you watch sessions, do you have a better way to prioritize the session you watch than just picking at random?

For example, do you have some way to pull out a bunch of session groups from the data automatically so you only have to watch one session in the group to know what the problems were for all of the sessions in that group?

janpio•33m ago
Sessions are just one "channel" to build up an understanding of the problem, so I try to prioritize the ones where I have prior indication that they might be interesting (churn, complaints in a conversation or feedback via some other channel). But sometimes it can also be interesting to just "surf" through some random ones.
helicone•13m ago
I'm interpreting from this that you have more data than you have time to process, so you go after the signals in order of how close they are to the user's complaints (user convos, etc).

And this implies to me that your ideal scenario is one in which the amount of data coming in from user convos, surveys, complaints, tickets, etc is equal or greater than the amount of time you have as a team to process it, such that you can focus on that and keep yourself productively at capacity.

But what if the amount of such high-priority signals is much higher than what you can deal with? Is it worth clustering that to get a smaller list of actionable trends?

Furthermore, if this is the highest quality data, is there even any need to go in and 'process' ALL of the sessions and bin them regardless of their high-priority signal status? Am I reading you right?